About the Team

SevenRooms is a hospitality technology platform that powers restaurant operations and marketing, and was recently acquired by DoorDash! The SevenRooms product enables operators to automatically drive revenue & profitability by leveraging data to build direct relationships, deliver exceptional experiences, and increase repeat business. The SevenRooms “In-Store” Technology organization at DoorDash is committed to building products that help restaurants create magical experiences every day. We are a small, but rapidly growing team of 70+ engineers, scientists and builders who are on a mission to fundamentally transform the hospitality industry. Our tech stack includes Python, Typescript, ReactJS, Redux, Django, App Engine, Cloud Firestore, Memcache, Cloud Tasks, Firebase, BigQuery, Elasticsearch, and more.

About the Role

We're looking for a strong Backend-focused Software Engineer who is excited to engineer highly performant, mission-critical systems that are designed for agile development and rapid scaling. You will partner with other engineers, product managers and designers who are dedicated to engineering real solutions that empower our In-Store team for growth. You will be joining an organization of engineering professionals working to fundamentally transform the hospitality industry through innovative technology solutions.

You’re excited about this opportunity because you will…

• Design, develop, test, deploy, maintain and improve software. Focus strongly on customer-facing features that create magical experiences for restaurant partners. 
• Be the technical owner of features from design to implementation. Take ownership of ongoing support and ensure high-quality delivery throughout the development lifecycle.
• Manage individual project priorities, deadlines, code quality and deliverables. Participate in occasional on-call duties to keep software systems up and running smoothly. 
• Partner with cross-functional teams including engineers, product managers and designers. Collaborate to engineer real solutions that drive growth and innovation in the hospitality industry. 
• Work with cutting-edge technology stack. Utilize tools like Python, Django, and modern cloud infrastructure to build scalable solutions.

We’re excited about you because…

• You have a BS degree in Computer Science, similar technical field of study or equivalent professional experience with 3+ years of software engineering experience 
• You have experience developing web applications with strong knowledge of algorithms, data structures, complexity analysis and software design 
• You have experience with Python (preferred), or another modern backend technology, and are excited to work with our modern technology stack
• You are passionate about building customer-facing features and take ownership of technical solutions from conception to deployment 
• You thrive in collaborative environments and are excited to work with cross-functional teams to solve complex problems in the hospitality industry

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Soho, London

Hybrid working: 3 days in the office Tues - Thurs

The Role

We are seeking a Data Engineer to join our Data Team, playing a vital part in building the complex, scalable systems that power our data strategy. You will be at the heart of architectural discussions, influencing system design and delivering the high-quality data solutions that bring millions of fans closer to the sports they love. This is a fantastic opportunity to tackle the challenge of optimising our data platforms for real-time AI/ML workloads, mentor talented junior engineers, and make a significant impact on our business. 

At LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fan’s passion for sport driving us to the top.

We don’t just lead; we innovate. Our cutting-edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition. As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users.

We know that job descriptions can sometimes seem daunting, and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you! 

Key Responsibilities 

• Contribute significantly to critical system design decisions, helping to architect data solutions that support real-time workloads.
• Partner with cross-functional teams to translate intricate business needs into effective and innovative data solutions.
• Mentor and provide expert technical guidance to junior engineers, fostering a culture of continuous learning and growth.
• Design data systems to solve problems and improve reliability & cost-effectiveness. 
• Develop and maintain robust, secure integrations with core internal systems and critical third-party platforms. 
• Implement advanced monitoring and alerting, to ensure high system reliability and minimal downtime. 

Skills, Knowledge and Experience 

• You have expert-level proficiency in a core programming language like Python, Java, or Scala, with an emphasis on AI/ML data processing.
• You possess experience with cloud data services and technologies, ideally within the GCP ecosystem (e.g., Dataflow, Pub/Sub, BigQuery, Vertex AI).
• Experience with Airflow environment management and Docker 
• You can clearly and concisely explain intricate technical concepts to both technical and non-technical stakeholders.
• You have extensive experience designing and optimising both real-time and large-scale batch data processing frameworks.
• You have a proven ability to deploy and maintain data infrastructure using Infrastructure as Code (IaC) principles with tools like Terraform.
• You can demonstrate the application of data governance, privacy, and security best practices in a regulated environment.
• You are a proactive and curious problem-solver, skilled in anticipating and resolving system inefficiencies.
• You work seamlessly with cross-functional teams, translating complex requirements into robust data solutions.
• You take full responsibility for the quality, reliability, and performance of the data solutions you help create. 

What can we offer? 

• Fridays Off: Say goodbye to Friday meetings and hello to a three-day weekend! This benefit is part of a trial, to be reviewed in 2026
• Company Performance Bonus
• Flexible Working Agreements where applicable
• Private Healthcare Scheme + Employee Enhanced Assistance
• Enhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full pay
• Subsidised Gym Membership
• Annual Travel Card Loan & Ride to Work Scheme
• Life Assurance (x3 salary)
• Contributory Pension Plan
• Virgin Family: Giving you access to exclusive Virgin offers and experiences
• Thursday drinks in the office and regular socials

About The Team:

We’re looking for a Senior Demand Planning Analyst who is as comfortable writing SQL as they are explaining a forecast miss to a Procurement Director. This is a hybrid role: part data engineer, part forecaster, part cross-functional operator.

You’ll own the demand signal that drives every operational decision at HelloFresh, from how much food we buy to how many staff we schedule and how many trucks we book. Your forecasts directly determine food waste, labour costs, and customer experience for millions of meals across Europe.

Our Demand Planning team is transitioning from a legacy operating model to a unified, automated, data-driven global function. You will bridge that gap — building the next-generation forecasting capabilities while keeping daily supply chain execution accurate and agile.

What You’ll Do

Build & Automate Forecasting Systems

• Write and maintain SQL queries daily to extract, validate, and transform demand data across cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
• Develop and refine forecasting models in Python, applying statistical and machine learning techniques — from simple trend and seasonality models through to more advanced approaches as the function matures.
• Design dashboards and automated reporting using visualisation tools (e.g., Tableau, Power BI) that give stakeholders self-service access to demand insights.
• Work alongside forecast engineers to architect scalable pipelines, ensuring local market nuances are handled without breaking the unified codebase.
• Build “What-If” scenario simulations (e.g., “What if we run an aggressive promo in a key European market next week?”) to stress-test operational capacity and quantify supply chain risk.

Own the Demand Plan

• Generate and validate daily and weekly demand plans for European markets. You are the guardian of the Decision-Time forecast — the plan must be accurate at the exact moment Procurement and Production need to act.
• Monitor trends, seasonality, and promotional impacts. Proactively flag when the plan needs adjusting and communicate changes before they surprise the supply chain.
• Implement data validation and QA checks to ensure forecast reliability, with alerting for anomalies.

Drive Cross-Functional Alignment (S&OP)

• Drive cross-functional alignment and play a key role in the weekly S&OP planning cycle with Market Leadership, Logistics, Production, and Procurement — ensuring the forecast is shaped by stakeholder inputs and shifting the conversation from error reporting to risk management and strategic alignment.
• Partner with Marketing to ensure growth campaigns and promotions are reflected in the demand view before they hit the supply chain.
• When deviations occur, go beyond surface metrics: diagnose root causes, quantify impact, and deliver actionable insights that prevent recurrence.

What We Need

Required Technical Skills

• SQL: Fluent. You write complex queries daily — joins, window functions, CTEs — and are comfortable working in cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
• Python: Good working knowledge. You can write and maintain scripts for data manipulation, forecasting, and analysis. You don’t need to be a software engineer, but you’re confident using Python to solve analytical problems.
• Visualisation: Experience building dashboards in tools such as Tableau or Power BI to make data accessible to non-technical stakeholders.
• Excel/Google Sheets: Advanced. Still essential for ad-hoc analysis and stakeholder communication, but not your primary tool.

Required Domain Experience

• 4+ years in Demand Planning, Supply Planning, or Supply Chain Analytics. E-commerce, food retail, or FMCG experience is strongly preferred — perishable/short shelf-life experience is a significant plus.
• Strong grasp of forecasting techniques: you understand bias, accuracy metrics (MAPE, WMAPE), trend decomposition, and how to evaluate model performance holistically.
• Experience forecasting in environments with limited historical data (newer markets, product launches) using proxy data and trend smoothing.
• Proven ability to manage demand and supply risks: proposing mitigations (buffers, caps, swaps) and communicating complex trade-offs to senior stakeholders.
• Comfortable with project tools like JIRA/Confluence for managing backlogs and improvement roadmaps.
• Strong communication skills: you can present forecast insights, explain variance drivers, and articulate trade-offs clearly to both technical and non-technical audiences, ensuring alignment across functions.

What you will get in return:

● 70% off HelloFresh or Green Chef boxes
● Company pension scheme
● Gym membership
● Bupa private medical insurance (including dental & family cover options)
● Electric vehicle scheme
● Mental health first aiders and an employee assistance programme
● Dog friendly office! (London site only)
● Nursery support scheme
● Cycle to work scheme
● Group Life Assurance

Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London or any other international HelloFresh market

To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.

Hybrid Working Policy
We offer a hybrid working policy for eligible roles, allowing flexibility to work from home and in the office. For more details on eligibility and how this applies to the role you're applying for, please consult with our recruiter.

Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks. 

The Role 

You’ll help Product Operations leverage AI to change how we manage information and take action. You will improve our ability to measure our impact in accelerating the building of features, products, and solutions. This will lead to better, scaled customer experiences.

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You’ll Do

• Improve how a Global Organization identifies customer problems, creates, commercializes and operates AI, Data, and Software solutions. 
• Work with stakeholders to design Initiatives and Projects that you will own. 
• Design SMART goals and associated metrics.  
• Improve Product lifecycle and Software development practices.
• Work with Financial Products
• Stocks, Bonds, Mutual Funds, Alternative Investments
• Improve how we serve our Customer Segments
• Wealth Management Firms
• Enterprises / Large Banks
• Institutional Investors

Who You Are 

While it’s helpful to know Financial Services, and more specifically Wealth Management, it isn’t required. You must be willing to learn all aspects of our business, financial products, product development, and business strategy. 

You’re a problem solver with an experimentation mindset. You’ve proven an ability to learn rapidly and you have a desire to teach others. The proof could be a Graduate Degree in a technical or research discipline, having worked as a Consultant, or having a couple of years of experience as a Data Analyst or Software Engineer, working with customers or internal stakeholders using data to understand what’s happening. The important thing isn't the job title, it’s your mindset. 

Must Haves

• Analytical and Problem solving mindset
• Comfortable interacting with stakeholders to decompose abstract problems into experiments  
• SQL expertise
• Prior Software or Data Engineering experience

Nice to Haves

• Consulting Experience
• Proficiency with Ai Tools (specifically Claude), Experience using ML/Ai techniques.
• Proficiency in Python and / or Javascript.
• Experience with Data Lake platforms Databricks (preferred), Snowflake, Amazon Redshift, BigQuery or Microsoft Fabric.
• Experience with Figma, Canva, Lucid etc, or other Design Mocking or Prototyping tools.
• Computer Science, Operations Research, Economics, Statistics, or similar engineering background
• Experience in Financial Services and especially in Wealth Management

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognised brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

We’re looking for a Conversational Analytics Engineer with strong expertise across the Google Cloud Platform ecosystem to drive forward conversational analytics and AI solutions. 

This role blends hands-on engineering, AI/ML innovation and client-facing problem solving. You’ll work across traditional data engineering and emerging LLM / agentic AI patterns, helping design and deploy scalable, production-ready solutions. 

Role responsibilities

Data Engineering, AI & Delivery 

• Design and build scalable data solutions using BigQuery and GCP-native tooling 

• Develop and deploy ML and AI solutions, including LLM-based and agentic systems  

• Work with tools such as Gemini to power conversational and analytical use cases  

• Build and integrate analytical agents into real-world applications  

• Implement evaluation frameworks (version-controlled via Git) to assess model and system performance  

• Orchestrate APIs and enable seamless integration between models, data pipelines, and applications  

• Apply modern MLOps and engineering best practices to deploy and maintain solutions in production  

• Define and assess the quality and timeliness of available data sources 

Problem Solving & Client Engagement 

• Translate business challenges into scalable data and AI solutions  

• Communicate complex technical concepts clearly to non-technical stakeholders  

• Lead client conversations to shape data and analytics solutions, building trust and guiding them through technical and strategic decisions  

• Work closely with cross-functional teams (engineering, product, business)  
• Help shape opportunities where conversational analytics and AI can drive value 

Required Skills

• Strong experience as a Data Engineer / Tech Lead within GCP  

• Deep expertise in BigQuery and cloud-based data architectures  

• Hands-on experience building and integrating ML / AI models into applications  

• Experience with LLMs, RAG, embeddings, or agentic AI systems  

• Strong programming skills (Python, SQL)  

• Experience with API orchestration and system integration  

• Familiarity with evaluation pipelines and version control (Git)  

• Strong communicator who can bridge technical and business teams  

• Curious, pragmatic problem solver with a focus on impact  

• Comfortable working in ambiguity and shaping new AI-driven solutions  

• Collaborative mindset with the ability to guide and influence others 

Nice to have   

• Experience with Gemini, ADK, or similar AI frameworks  
• Exposure to CDPs, analytics tooling, or customer data ecosystems 
• Experience with MLOps and productionising AI solutions  

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a full time position based in the UK. 

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.   

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

Scopely is looking for a Senior Director, Data & Insights  to help power the continued success of Monopoly GO! This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.      

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

As Sr. Director of Data & Insights, you'll lead three teams — Analytics Engineering, Data Science, and Product Analytics — each owned by a Director or Lead reporting to you. Your job is to operate above the day-to-day: set strategy, drive cross-functional alignment, and deliver a step-change in how the studio uses data.

Your north stars: speed (time-to-insight in minutes and hours, not days), access (every PM, designer, and marketer answers their own data questions without a ticket queue), and impact (translating data insight into actionable software improvements) 

AI-Forward Mandate

You'll set the AI vision and hold your organization accountable for embedding it across the org. We expect this leader to build the future of insight delivery, not just manage the present.

What You'll Own

You are the ultimate craft leader for Data & Insight and drive impact through the following areas: 

Analytics Engineering — via Director/Lead

• Define the vision and operating model for Analytics Engineering as the company scales
• Set the direction for the data platform (pipelines, warehouse, semantic layer), focusing on speed, reliability, and ease of use
• Drive the adoption of a data product mindset across all areas
• Push the shift toward AI-enabled workflows in analytics, both for how data is built and how it’s used
• Define how AI systems interact with our data, enabling simple, self-serve access for both technical and non-technical users
• Own the principles behind the metrics layer as a single source of truth across the company
• Maintain a strategic relationship with the central Scopely data function 

Data Science — via Director/Lead

• Set direction and provide feedback for the Data Science roadmap 
• Identify and bridge the gap in missing Data Science models and frameworks 
• Set expectations for how AI should enhance decision-making and operational workflows, and increase the ceiling is what’s possible with Data Science 

Product Analytics — via Director/Lead

• Align Product Analytics direction and roadmap with product strategy, ensuring insights directly inform roadmap decisions and prioritization
• Define the Product Analytics operating model (team structure, embedding, ways of working) to maximize impact and enable proactive, high-quality decision-making
• Set expectations for AI-enabled analytics, improving insight generation, scalability, and team productivity while maintaining rigor

Leadership Scope

• Directly manage 3 Director/Lead-level reports; indirectly lead 40+ analysts, engineers, and data scientists
• Coach and develop your direct reports
• Own the data roadmap and OKRs; serve as the data voice at the product executive level
• Build data literacy programs so non-technical partners can self-serve confidently

What We're Looking For

• 10+ years in data, analytics, or data science; 5+ years managing director-level leaders
• Proven track record in live-service mobile games or high-scale consumer apps
• Deep expertise in the modern data stack: dbt, Snowflake/BigQuery, Looker/Tableau/Hex
• Hands-on fluency with LLM patterns (RAG, agents, prompt engineering) and AI tooling deployment
• Strong command of experimentation design, causal inference, and ML systems in production
• Leads through delegation — comfortable owning strategy and outcomes without owning execution
• Exceptional communicator from SQL to C-suite; player-first and outcome-first mindset

Please ensure that the résumé/CV you attach is written in English.

Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale—up to millions of wet lab experiments weekly—and massive computational scale—owning and operating one of the most powerful supercomputers in the world—Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine.

In this role, you will:

• Build, scale, and operate a data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform that allows users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions compounds, petabytes of cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery.
• Build relatability into a heterogeneous dataset. At Recursion, we generate datasets based on a wide swath of diverse biological models and treatment approaches. You'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet.
• Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion.

The Team You’ll Join

• You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines.

The Experience You’ll Need

• 5+ years of deep experience in modern, cloud-based data engineering. You have a proven track record of building and maintaining robust platforms that enable the discovery, query, and processing of large-scale datasets.
• Expertise in Core Technologies (Mandatory): You possess advanced proficiency in Python and SQL and experience with Containerization (Docker, Kubernetes), Infrastructure as Code (Terraform, etc.), and Agentic Development (Cursor, Claude, etc.)
• Data Fundamentals & Architecture: You have a deep understanding of Relational Databases (Postgres, MySql, etc.) and are proficient in working with data container files (e.g., Parquet, Avro, etc.). You are familiar with Medallion Architecture (Bronze/Silver/Gold) and know how to apply its principles to build scalable, reliable data products.
• Cloud & Platform Operations: You are seasoned in at least one major cloud provider (GCP, AWS, or Azure). You are comfortable in a "DevOps" capacity—specifically managing the infrastructure and tools that empower other engineers to run their pipelines, rather than focusing solely on building ETL flows.
• Hands-On: You understand the trade-offs between different architectures (Data Lake vs. Warehouse) and can make high-level decisions regarding CI/CD and system maintenance. Crucially, you are a "doer" who enjoys getting into the weeds of implementation, not only designing the blueprint.
• Collaborative Problem Solver: You thrive in environments with significant technical ambiguity. You can navigate complex systems and diverse technologies to deliver solutions that are easily monitored, quantified, and understood in production.
• People-First Mindset: You prioritize supporting your coworkers’ growth. We value a culture where meeting deadlines never comes at the expense of being a helpful, empathetic teammate.
• Intellectual Curiosity: While a background in drug discovery, biology, or chemistry isn't required, a drive to learn the domain and explore new technologies is essential!

• Cloud: Google Cloud Platform (GCP), GCS, Pub/Sub.
• Tools: dbt, Prefect, Argo Workflows, BigQuery, Snowflake, Fivetran, Datastream, AI/LLM (Cursor, Claude Code, and Gemini available).
• Infrastructure: Kubernetes, PostgreSQL, CI/CD (Argo).

Working Location & Compensation:

This position can be based at either our London or Milton Park office. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.

#LI-EP1

The Opportunity:

We are looking for a People Analytics Analyst to join our recently formed People Analytics team and serve as a strategic, data-driven partner to leaders across the business. This role blends strong analytical and technical skills with a consultative, business-facing mindset — someone who loves working with data and using it to influence decisions.

This role will partner closely with HR Business Partners, the People Leadership Team (PLT), senior business leaders, and teams across the broader People organization (e.g., Talent Acquisition, L&D, Total Rewards, Workday), translating complex people data into clear insights, narratives, and recommendations. A significant focus of this role will be supporting Sales and Go-To-Market (GTM) organizations, using workforce data to help leaders understand performance, retention, hiring, and organizational effectiveness within revenue-generating teams. You will report to the Director of People Analytics.

The People Analytics function is entering its next phase of growth — expanding beyond foundational reporting into deeper insights, standardization, and proactive workforce analytics. This role will play a critical part in shaping how people data is used to understand organizational health, guide strategy, and support leaders in solving real business problems.

If you’re excited about being both a hands-on data practitioner and a trusted advisor to the business, particularly in fast-paced, performance-driven environments like Sales, we’d love to hear from you.

What You’ll Be Doing:

• Serve as a go-to, business-facing People Analytics expert for People Team Business Partners, the People Leadership Team, and senior business leaders — tracking against organizational health metrics and people plan objectives, always close to the business and its biggest workforce challenges, with a strong focus on supporting Sales and Go-To-Market (GTM) organizations. 
• Conduct and deliver ongoing workforce analysis, QBRs, and ad hoc analytics that inform and drive better business decisions.
• Lead data storytelling: translate complex people data into clear, compelling narratives and recommendations tailored to executive and leadership audiences
• Proactively partner with BPs and leaders on strategic areas of focus (e.g., attrition, hiring, performance, mobility, retention, org design), using data to identify trends, risks, and opportunities.
• Bring curiosity and tenacity to connecting data across disparate people systems — uncovering trends, risks, and opportunities across attrition, hiring, performance, mobility, org health, and more
• Develop rapid 'v0.5' analytical solutions from the front lines, then partner with the broader People Analytics team to scale and productionize them
• Leverage AI tools and automation throughout your workflow — from analysis and reporting to insight generation — while applying your expertise to guide, correct, and elevate AI output
• Use data skills, curiosity and People Analytics expertise to develop scalable SQL modeling, business-facing dashboards, automated reporting and AI solutions. 
• Drive forward the strategic roadmap of the People Analytics function, including expanding reporting and analytics capabilities, establishing and evolving KPIs,  and leading key projects in critical business areas.

What Makes You a Great Fit:

• Experience in a people analytics, HR analytics, or workforce analytics role with meaningful exposure to business-facing stakeholders
• An endlessly curious analytical mindset — you love connecting data together and seeing what it reveals
• SQL proficiency: writing complex, efficient queries is a regular part of your workflow (BigQuery, Snowflake, or similar)
• Strong AI skills and genuine interest in using AI tools to improve how you work — you proactively seek AI-driven solutions and apply your domain expertise to guide and validate them
• Advanced experience with Excel and/or Google Sheets for analysis, modeling, and quick-turn insights
• Experience with data visualization and BI tools (PowerBI, Tableau, Looker; Grafana BI a plus) with an interest in enabling self-service analytics
• Experience working with people data from HR systems such as Workday, Greenhouse, LMS platforms, or similar
• Strong presentation and storytelling skills — you can translate complex data into clear, compelling insights for non-technical audiences
• Excellent communication and stakeholder management skills; you build trust and credibility with HR partners and business leaders
• Resilience and adaptability — you thrive under pressure, handle competing priorities without losing quality, and treat ambiguity as a challenge rather than an obstacle
• Comfort operating in a growing, evolving analytics function where building, iterating, and scaling are part of the job

Bonus Points For:

• Experience with dbt or analytics engineering concepts
• Experience helping define analytics strategy, metrics, or reporting standards
• A passion for building — better datasets, cleaner reporting, or more impactful insights

Compensation & Rewards:

In the United Kingdom, the OTE (On-Target Earnings) compensation range for this role is GBP 81,000 - GBP 97,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. 

Are you excited by the power of data and the potential it holds to solve business problems? Do you want to help world class brands use marketing and customer data to drive revenue growth and better customer experiences? Are you ready to stand in front of clients and help guide them through the jungle of cloud computing, insights, advanced analytics, and AI? Join our team as a Data Strategy Consultant and help our clients transform their marketing data capabilities to deliver tangible business impact! 

What will your day look like?

As our new Data Strategy Consultant, you will join our growing team of CRM & marketing data experts. Here, you will help our clients collect, analyse and activate 1st-party and 3rd-party data at scale to create impactful customer experiences that drive measurable business results.  You will help to propose, design and deliver solutions that support customer insights, audience activation, personalization and measurement of marketing performance. 

More specifically, your tasks will include:   

Customer Data & Audience Strategy 

• Convert business and marketing objectives into actionable audience strategies and frameworks at both global and local levels. 

• Establish reusable audience taxonomies, segmentation logic, and eligibility requirements. 

• Identify necessary data elements and align them with existing platforms such as DWH and Martech 

Experimentation & Measurement Frameworks 

• Develop standardized methodologies for holdouts, control groups, test design, and KPI definition, including incrementality and consent value. 

• Create reusable templates for test briefs and result reporting. 

• Collaborate with analytics and operations teams to execute initial tests and implement a scalable experiment model. 

Technology & Data Architecture Enablement 

• Translate marketing requirements into solution patterns for critical use cases for activation and measurement and help create clear specifications for tech and data specialists. 

• Partner with platform and data teams to assess feasibility and prioritize development initiatives. 

• Support the transformation of custom solutions into scalable, reusable patterns for clients and markets.   

Who are you going to work with?

You will be working closely in projects with a lot of different people with different professions, both inside and outside of VML MAP. You will be part of a group of experienced Data Strategy and Data Solution Consultants and will work closely with colleagues from the other groups in our consulting practice. We strive to have an open collaboration model to optimally utilize our total skillsets.  

You will also work closely with our Tech and Data specialists, and Client Engagement leads to deliver client projects, and you will work directly with our clients, i.e., key stakeholders in the data, marketing and IT organizations of large global companies. You will also have the opportunity to engage with our data and technology partners, such as Salesforce, Adobe, Braze, Google, and Snowflake. 

Together, we help our clients put in place data solutions that drive business value in a collaborative work environment with a focus on both professional expertise and having fun on the way. 

What do you bring to the table?

You might have a data and technology background and grew into a consulting role, or maybe you come from a business background and built a strong understanding of data solutions. Nevertheless, it is important that you have strong core consulting skills as well data experience and expertise. 

Consulting skills 

• Strong communication and presentation skills, i.e., the ability to clearly communicate complex topics to stakeholders at all levels of the organization. 

• Structured problem-solving skills, i.e., the ability to identify and analyze complex problems and develop practical solutions.  

• Business acumen, i.e., an understanding of how businesses work and how they create value.  

• The ability to build trust and strong working relationships with clients, partners and colleagues. 

Data experience and expertise 

• You have a degree in data science, digital marketing, computer science or similar fields of study. 

• You are considered an expert in marketing data solutions with deep expertise in marketing measurement, customer data, and other data solutions. 

• You have experience with analyzing business needs, designing, scoping, and delivering data solution projects and services in large organizations. 

• Experience with collaborating with and communicating to technical and business audiences alike.  

Mindset 

As a person, you are collaborative and love being part of interdisciplinary projects and solutions.  You are comfortable with the complexity of high-tech dialogues and solutions.  Furthermore, you have the drive, enthusiasm and technical skills to take lead when facing the client in data and insights related matters. Through this, you strive to help and inspire the client to grow their business by combining data insights, performance analytics, and data engineering. It’s an advantage if you have agency experience and marketing domain knowledge, but it’s not a requirement.   

In addition, you have:   

•  3-5 years in a data consultant role with clients related to marketing data, predictive analytics, BI and reporting solutions. 

• An infectious curiosity around data applications for CRM and customer insight development, AI use cases and continuous innovation. 

• Comfortable with hands-on work in technology platforms such as Salesforce Marketing Cloud and Data Cloud, Adobe Experience Cloud, Braze, etc. 

• Hands-on experience working with cloud data platforms, ETL and reporting, data analysis through R, Python or other similar toolsets. 

• Experience with database and data model design for business intelligence and analytics solutions is an advantage. 

• Familiarity with multi-touch attribution approaches and techniques involving a range of paid and owned channels is an advantage.  

• Experience with Google Insights/Google Analytics, Google Cloud Platform/BigQuery, Adobe Analytics and Salesforce is an advantage. 

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA

1995 - Director, Business Intelligence

About WPP Media

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. 

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.

For more information, visit wppmedia.com.

Role Summary and Impact

Mindshare delivers Good Growth for its clients. As “Growth Architects," we drive growth that benefits all stakeholders — better for people, planet, and business — by using media with intention. This approach creates more meaningful connections with consumers, increases consumer trust in the brand, and delivers better outcomes for all stakeholders.

We're looking for a Business Director to lead the development and delivery of data pipelines, reporting frameworks, cloud infrastructure, and data-driven media solutions for Mindshare's clients in the UK.

You will be joining the BI & Data Management team, a community of BI and data engineering specialists within WPP Media, responsible for transforming marketing data into actionable insights and performance reporting across some of the UK's largest digital media investments.

This role is ideal for a technically credible data leader who can balance hands-on oversight of complex delivery with senior client relationship management, commercial accountability, and team development. You will play a key role in shaping how the team works, championing best practices in data engineering, cloud environment management, and governance, while contributing to the growth of the practice through new business and expanding existing client partnerships.

Key Responsibilities

Team Leadership - Lead and coach a team of four BI developers and data engineers. Define priorities, develop ways-of-working, shape delivery roadmaps, and embed a culture of transparency, collaboration, and continuous improvement.

Project Delivery - Govern the end-to-end delivery lifecycle across a portfolio of client projects, managing resourcing, timelines, and cross-functional dependencies to ensure workstreams are delivered reliably and at scale. Establish and maintain consistent ways of working across the team's project portfolio.

Solution Development - Oversee the delivery and development of performance dashboards, automated reporting solutions, and descriptive analytics used by media, analytics, and client teams. Collaborate closely with stakeholders to translate business questions into clear, actionable data products.

Data Enablement - Work cross-functionally with media activation teams, data science, data strategy, and global product teams to democratise access to data and develop automated, data-driven solutions that drive efficiencies and enhance capabilities. Partner with client account leads to ensure technical solutions are aligned with commercial objectives.

Cloud Environment Ownership - Act as the primary owner of all GCP environments within the team, enforcing best practices for deployment and management via the centrally managed Terraform service, while collaborating with central DevOps and TechOps teams to scope and deliver broader infrastructure solutions.

Taxonomy, Data Standards & Governance - Ensure consistent application of marketing taxonomies, data definitions, and platform mappings (e.g. campaign metadata, brand/product categorisation, measurement KPIs), while driving the development of monitoring tools to surface issues in data completeness, accuracy, and consistency across platforms and sources.

Senior Client & Stakeholder Relationships - Serve as a senior point of contact for key clients and internal stakeholders, building and maintaining trusted relationships at a senior level. Act as an escalation point for delivery issues and ensure the team's output consistently meets and exceeds client expectations.

Commercial & New Business - Contribute to the commercial growth of the practice by supporting new business pitches, scoping and pricing briefs, and identifying opportunities to expand existing client relationships. Maintain awareness of project profitability and resource allocation to ensure delivery is commercially sustainable.

Skills and Experience

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Essential Skills & Experience

• Proven experience in a data team leadership role, with the ability to manage, mentor, and develop a high-performing technical team
• Strong data engineering knowledge, including hands-on experience overseeing the design and development of ETL/ELT pipelines
• Deep expertise across major cloud platform services, including data warehousing, serverless compute, workflow orchestration, object storage, and CI/CD tooling
• Proficiency in Python and version control practices using GitHub or GitLab
• Experience architecting and owning cloud environments, as well as IAM best practices
• Demonstrated ability to handle and manage commercially sensitive data in line with governance and compliance requirements
• Experience building or overseeing automated reporting and dashboard solutions, ideally using PowerBI and dbt
• Strong stakeholder management skills, with the ability to present complex technical concepts clearly to clients and senior internal stakeholders
• Familiarity with API data extraction and integrating third-party data sources into data platforms

Desirable Skills & Experience

• Experience working within a marketing, media, or advertising agency environment
• Hands-on experience with GCP specifically (e.g. BigQuery, Cloud Run, Cloud Workflows, Cloud Storage, Cloud Build); GCP certifications are highly desirable
• Hands-on experience developing algorithms, descriptive analytics frameworks, and KPI measurement solutions
• Working knowledge of infrastructure-as-code tooling (e.g. Terraform)
• Experience standing up infrastructure and data pipelines for data science or ML use cases
• Working knowledge of Confluence or similar tools for maintaining technical documentation standards
• Familiarity with media performance measurement and marketing attribution methodologies
• Experience working closely with client account or commercial leads to translate business needs into technical solutions

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please note this is a UK based role and requires individuals to have the right to work in this location

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

#LI-Promoted

* Fully remote from UK *

Big Ideas. Real People. 

At Orca, in the right environment and with the right team, talent has no boundaries. This team spirit, together with our drive to always aim high, has quickly earned us unicorn status and turned us into a global cloud security innovation leader. So if you’re ready to join an amazing team of people who inspire each other every day, now is the time to find your place in our pod. 

We’re looking for driven and talented people like you to join our R&D org. and our mission to change the future of cloud security. Ready to dive in and swim with our pod? 

Highlights

• High-growth: Over the past seven years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

About the role

As a Senior Software Engineer on the DSEC (Data & AI Security) team at Orca Security, you’ll be part of a core group responsible for protecting customer data and AI assets at scale. The team scans and analyzes a broad set of data stores and AI services - from managed databases and container images to object storage buckets and VMs - to find sensitive data, keys, PII, and misconfigurations. You’ll also map, model, and assess cloud AI services to give customers clear visibility and security insights across their data and AI footprint.

This role is a strong fit if you want to build the infrastructure that powers our Data Security Posture Management (DSPM) and AI security capabilities. You’ll help design and run scanning pipelines for managed databases across major cloud providers, implement detection engines for PII and secrets across file systems and databases, and enable our security researchers to discover data risks and AI misconfigurations quickly and reliably. Your work will directly affect how thousands of organizations understand and security their sensitive data and AI workloads.

We’re looking for engineers who care about data security, distributed systems, cloud databases, and AI/ML platforms - and who want to have a real impact by building robust, scalable security tooling. This is also a great opportunity to take ownership, drive initiatives, and grow through collaboration, mentorship, and technical leadership.

Our Stack: Python, Go, Postgres, Redis, Kafka, SQS, AWS, GCP, Azure

On a typical day you'll

• Design, implement, and maintain scalable backend services for scanning and analyzing managed databases, object storage, and data assets across cloud providers
• Build and extend infrastructure for detecting sensitive data, secrets, and keys across customers’ databases, buckets, VMs, and containers so customers can be alerted when risks are found
• Integrate and evolve detection engineers for PII, secrets, compliance, and vulnerabilities across Linux and Windows workloads.
• Map, model, and assess cloud AI services and managed databases to surface misconfigurations, exposure, and security posture
• Collaborate with security researchers and product managers to turn complex requirements into clear, impactful product features
• Write clean, efficient, and testable code, ensuring high performance and reliability at scale
• Participate in design and code reviews to keep quality and security standards high
• Lead features end-to-end - from design and planning through deployment and monitoring
• Improve system observability, performance, and resilience in production environments
• Stay current with developments in the data security, DSPM, and AI/ML security

About you

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5+ years of professional software development experience
• Strong experience building backend services or distributed systems
• Hands-on experience with Python or Go
• Experience with major cloud providers (Amazon Web Services, Google Cloud, Microsoft Azure)
• Strong foundation in software design principles, concurrency, memory management, data structures, and algorithms
• Passionate about building great products and solving real-world security challenges
• Self-driven, proactive, and comfortable taking ownership and initiative
• A strong communicator and a true team player who thrives in a collaborative environment

Bonus points for

• Experience with managed databases (RDS, BigQuery, CloudSQL, Azure SQL, Redshift, DynamoDB, …) and secure scanning/query patterns
• Familiarity with DSPM, or privacy engineering in cloud environments
• Experience with cloud AI/ML services (Vertex AI, Bedrock, SageMaker, Azure OpenAI, …)
• Background in cybersecurity, especially in cloud security domains

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognised brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

We are looking for a Lead Digital Analytics Engineer with experience in digital analytics, tracking implementation and data modelling.

This is a senior, hands-on role for someone who can lead measurement strategy, own implementation quality and drive reliable, scalable analytics across web, product and campaign environments.

You will play a critical role in ensuring that digital data is accurate, compliant and actionable - enabling better decisions across marketing, product and business teams.

Required Skills & Experience

Core Experience

• Experience in digital analytics / analytics engineering
• Strong expertise in GA4 and Google Tag Manager (GTM)
• Proven experience designing tracking frameworks and measurement plans
• Experience auditing dataLayers and validating analytics implementations

Data & Engineering

• Strong experience with BigQuery and cloud-based data environments
• Solid understanding of ELT processes and analytics data modelling
• Experience transforming event-level data into structured reporting datasets
• Ability to bridge analytics implementation with BI and reporting needs

Privacy & Compliance

• Strong understanding of GDPR and consent management
• Experience with OneTrust and/or CookiePro
• Knowledge of privacy-safe analytics implementation practices

Marketing & Attribution

• Experience supporting campaign measurement and digital marketing analytics
• Strong knowledge of UTM structures, attribution models, and traffic source tracking

Leadership & Collaboration

• Proven ability to operate in a senior or lead analytics engineering role
• Strong stakeholder management and communication skills
• Experience setting standards, governance, and improving analytics maturity
• Ability to balance hands-on delivery with strategic oversight

Nice to Have

• Experience with server-side GTM (sGTM)
• Knowledge of Google Cloud (e.g. Pub/Sub, Dataform, Workflows)
• Experience with server-side tagging, custom domains, and first-party data strategies
• Familiarity with advertising platform integrations (e.g. Meta, TikTok)

We are looking for someone who combines deep technical implementation expertise with strategic measurement thinking.

You'll be comfortable working across analytics platforms, tag management, cloud data environments, and stakeholder-facing delivery. Take ownership of data quality, drive best practices and enable organisations to make better decisions through trusted data.

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognise that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a full time position based in the UK. 

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

231 - Lead Data Engineer, WPP Media Data, Technology and Analytics (DTA)

About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

About WPP Media Data, Technology and Analytics (DTA): A Leading WPP Media Brand

DTA is WPP’s global data products and technology arm. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.

We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.

Role Summary and Impact

As a Lead Data Engineer, based within our Wavemaker team, you will serve as the technical figurehead for the data engineering practice across WPP Media’s broader Business Intelligence & Data Engineering agency teams. You will be instrumental in defining, driving, and implementing best-in-market data engineering strategies and solutions, with a particular focus on the Measure data platform. You will work directly on Wavemaker clients and collaborate closely with the Wavemaker BI team, ensuring their data needs are met with cutting-edge solutions.

This is an influential role that combines deep hands-on technical expertise with strategic leadership. You will be responsible for setting technical standards, fostering a community of practice among all our engineers across the agencies, and ensuring the delivery of cutting-edge, commercially viable data solutions that empower data-driven decision-making for our clients and internal teams. While you will directly manage one individual, you will act as the most senior engineer in the wider team, providing technical direction and mentorship. You will also represent our data engineering capabilities in client pitches and external forums, demonstrating our leadership in the BI space.

In this role you will:

• Lead Data Engineering Strategy: Define and drive the overarching data engineering strategy and architecture for WPP Media, ensuring scalability, reliability, and innovation across diverse client needs and platforms.
• Technical Figurehead & Community Leader: Act as the senior technical authority and figurehead for data engineering across WPP Media's BI & Data Engineering teams. You will cultivate and lead a thriving community of practice among Director-level engineers, fostering knowledge sharing, standardisation, and technical excellence.
• Measure Platform Expertise & Customisation: Leverage expert-level understanding of the Measure data platform (including Adverity, Google Cloud Platform, BigQuery, dbt, and PowerBI) to design, develop, and implement bespoke, complex data ingestion, transformation, and storage solutions that meet advanced BI specifications.
• Cloud Architecture & Development: Lead the architecture, development, and optimisation of robust, scalable data pipelines and infrastructure across various cloud environments, with deep expertise in Google Cloud Platform (GCP – e.g., BigQuery, Cloud Storage, Cloud Functions, Composer) and AWS.
• Hands-on Delivery & Mentorship: Be actively involved in hands-on development of critical data solutions while providing technical guidance, coaching, and mentorship to engineers within the Wavemaker team and across broader WPP Media agencies. You will directly manage one individual, guiding their professional development.
• Drive Innovation & Best Practices: Continuously identify, evaluate, and integrate emerging trends, technologies, and best practices (e.g., data mesh, advanced CI/CD, IaC using Terraform/Terragrunt) into our data engineering workflows. Champion standard ways of working, naming conventions, and data governance.
• Stakeholder Engagement & Pitches: Collaborate closely with BI Leads, Analytics teams, planning teams, and clients to translate complex business requirements into clear, commercially viable technical designs. Represent our data engineering capabilities effectively in client pitches and strategic discussions.
• Data Quality & Governance: Establish and enforce rigorous data quality standards, validation processes, and governance policies to ensure the accuracy, completeness, and consistency of all data assets.
• Commercial Impact: Work with BI leadership to identify opportunities to drive revenue through the adoption and enhancement of our BI product suite, ensuring our data solutions provide maximum commercial value.

Skills and Experience

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

Essential:

• Progressive experience in data engineering, analytics engineering, or a related field, with demonstrated leadership responsibilities.
• Proven experience leading technical practices and fostering a community of technical experts across multiple teams or business units.
• Deep, hands-on expertise in designing, implementing, and managing data solutions on both Google Cloud Platform (GCP) (e.g., BigQuery, Cloud Storage, Dataflow, Composer, Cloud Functions) and AWS.
• Expert-level proficiency in SQL and experience with modern data transformation tools like dbt (Data Build Tool).
• Comprehensive understanding and practical experience with the architecture and components of a unified data platform (including Adverity for data ingestion).
• Infrastructure as Code (IaC) & CI/CD: Experience with IaC tools like Terraform or Terragrunt, and a strong understanding of CI/CD pipelines (e.g., GitLab CI/CD, GitHub Actions) for automated deployment and testing.
• Expertise in designing and implementing robust data models (e.g., star schema, data vault) for analytical and reporting purposes.
• Strong understanding of leading BI and visualisation tools (e.g., Power BI, Tableau, Looker Studio)
• Exceptional communication, presentation, and interpersonal skills, with a proven ability to engage, influence, and translate complex technical concepts for both highly technical and non-technical senior stakeholders and clients.

Desirable:

• Understanding of digital advertising, media campaign data, ad serving technologies, and web analytics.
• Proficiency in one statistical programming language (e.g., Python or R) for data manipulation, automation, and advanced analytics.
• Experience with data mesh principles and implementation strategies.
• Familiarity with Agile/Scrum development methodologies.
• Experience with project management tools such as Jira and Confluence.
• Prior experience acting as an external thought leader or presenter in the data engineering or BI space.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please note this is a UK based role and requires individuals to have the right to work in this location

#LI-Promoted

1211 - Director, Data Science - DTA

About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

About Choreograph: A Leading WPP Media Brand

Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.

We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.

Role Summary and Impact

The Data Science Director, plays a critical leadership role as part of a broader team in the deployment and development of predictive models for our customers. You will lead and mentor a team, working collaboratively with senior Google Cloud and Google Marketing experts to apply advanced modeling techniques to enhance our customers' media/marketing solutions. As Team Lead you will be responsible for guiding the team in building out industry-relevant predictive models that can be applied to optimize our customers' media investments.

The role focuses on leading the application of analytical solutions based on machine learning & statistical predictive algorithms on top of the Google technology stack and agent development for our customers. We are looking for a Team Lead with significant experience in algorithmic data analysis, proven scientific research skills, and a track record of leading successful data science initiatives.

Skills and Experience

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

This is an excellent opportunity for a Team Lead, to join the Data and Technology Consulting Team. You will be instrumental in strategising how to tackle and take apart large and messy datasets of structured and unstructured data, oversee the building and implementation of models and algorithms, agents and design and run experiments to optimise clients customer insights, analytics and customer experience. The ideal candidate will have a love of getting their hands dirty, while also empowering and developing their team to do the same.

RESPONSIBILITIES:

• Lead the team in the creation, management, and continuous improvement of AI/ML and models and agents used to measure, optimize, and activate business transformation, including creative, media campaigns and broader marketing objectives.
• Drive the development and deployment of industry-relevant strategies and solutions.
• Ensure comprehensive documentation of data science projects, establishing best practices for replicable and scalable analytical processes across clients.
• Guide the team in building out compelling content for presentations to demonstrate the performance and value of statistical and predictive models.
• Oversee the delivery of robust mathematical analysis, ensuring accuracy and strategic relevance.
• Accountable for the team's production of high-standard campaign reports, studies, presentations, and proposals.
• Achieve continuous improvement by proactively assessing Choreograph's working relationships, practices, and methods, and implementing enhancements.
• Lead the establishment and optimization of MLOps processes leveraging the GCP toolset.
• Drive and demonstrate measurable success and impact for clients and the team.

REQUIREMENTS:

• Hands-on experience with building out machine learning models with Python, in a leadership or senior mentorship role.
• Advanced education and background in machine learning, computer science, physics, applied mathematics, or statistics.
• Expert-level hands-on experience in developing complex query structures with SQL and/or NoSQL query languages, and experience guiding others.
• Expert-level hands-on experience working with GCP’s AI Capabilities, including leveraging BigQuery ML, Vertex AI, and other relevant services.
• Extensive hands-on experience with a broad range of machine learning techniques using (TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, Pandas, NLTK, Spark MLib).
• Deep experience and understanding of deep learning techniques (TensorFlow, Theano, MXNet).
• Proven understanding and experience in software engineering best practices, DevOps, and MLOps, with a track record of implementing or leading these initiatives.
• Solid grounding in applied mathematics, especially optimization and graph theory, and advanced statistics.
• Significant commercial or academic experience in leading the development and deployment of complex ML & AI solutions using Python/R.
• In-depth knowledge of machine learning algorithms and their practical applications.
• Advantageous to have extensive experience in Google Marketing Platform and the use of Ads Data Hub.
• Exceptional capabilities in the areas of data engineering, data modeling, and complex big data analysis, with experience leading teams in these domains.
• Strong business analysis skills and deep understanding of analytics, with the ability to translate complex data into strategic business value.
• Exceptional communication and presentation skills, capable of influencing stakeholders at all levels.
• Passionate about working in an extremely fast-paced, demanding, and fluid environment, with a desire to build and lead a high-performing team and contribute significantly to a growing company.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please note this is a UK based role and requires individuals to have the right to work in this location

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

#LI-Promoted

835 - Manager, Client Analytics - DTA

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

About Choreograph: A Leading WPP Media Brand 

Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. 

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. 

We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world. 

Role Summary and Impact   

The Manager, Client Analytics reports to the Director of Analytics, working to design, customize and maintain platforms for business analytics and measurement. You would have excellent oral and written communication skills, be client obsessed, self-motivated and able to operate both as a team and independently with limited guidance and direction

The Manager, Client Analytics is following the direction of Director of Analytics and is responsible for data manipulation and visualization, performing quantitative data analysis, problem solving, statistical modeling, and developing/analysing business cases.

WHAT YOU WILL DO   

• Apply deep knowledge of basic statistics (significance testing, correlation analysis, confidence intervals, descriptive statistics) to support analytical solutions.
• Use statistical modeling techniques (regression, classification) to extract business value from campaign data.
• Utilize programming languages (Python, R, SQL), statistical packages (SciPy), and Google tools (BigQuery, Tensorflow, Datalab) to prototype and deliver data-driven solutions.
• Recommend and develop technical solutions with guidance from senior leadership.
• Define project scope, setup, and effort estimation in collaboration with the account Analytics lead.
• Build and maintain strong relationships with Analytics leads and gain a deep understanding of client challenges.
• Work closely with key stakeholders to assess project needs and ensure delivery of best-in-class analytics work.
• Collaborate with regional leadership on process development, improvement, and compliance.
• Support campaign measurement, determine incremental lift from marketing activities, and manage reporting and data needs (ingestion, cleaning, delivery).
• Code in SQL and Python to create reports and build dashboards; automate recurring workloads to improve efficiency.
• Generate meaningful insights using advanced analytics/statistical techniques; create dashboards and presentations for wider teams.
• Ensure continuous collaboration and progression across bands, disciplines, and offices.

Skills and Experience  

• Relevant industry experience in analytics-focused roles.
• Degree in an applied quantitative field (data science, mathematics, statistics, engineering, economics, business management, computer science, or related).
• Understanding of marketing campaigns, objectives, and measurement techniques; prior experience in digital agency or consulting preferred.
• Proficient coding skills in statistical software (R, Python, SciPy), programming languages (SQL, Python), and MS Office tools (especially advanced Excel/Google Sheets).
• Experience in owning and delivering analytics projects, including correlation, regression, significance testing, A/B tests, and supervised machine learning.
• Practical understanding of data science techniques, statistical analysis, and modeling.
• Passion for data analysis, troubleshooting data anomalies, integrating data from multiple sources to create repositories for data science models.
• Ability to transform raw data into actionable business insights for decision-making and strategic planning.
• Strong logical thinking, problem-solving, and stakeholder management skills.
• Excellent verbal and written communication skills.
• Adherence to quality standards and ability to plan and prioritize work.
• Experience using or building reports with business intelligence tools is a plus.
• Experience in applying big data, statistics, and analytical techniques to solve client problems is preferred.
• Business acumen to provide actionable strategic recommendations is preferred

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. 
 
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please note this is a UK based role and requires individuals to have the right to work in this location

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. 

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Role:  Head of Analytics

Location:  London, United Kingdom. (3 days a week from our London offices)

About the role: 

At OLIVER (part of The Brandtech Group, the world’s leading GenAI-powered marketing company), we’re looking for an ambitious, hands-on analytics leader to build and deliver best-in-class, next generation data capabilities. As Head of Analytics, you’ll be at the centre of architecting and delivering new SME-driven capabilities – across social and audience analytics, creative optimisation, and marketing effectiveness – working side-by-side with our central hub of specialists. 

You’ll combine building and deploying the analytics roadmap with finding and piloting new opportunities to put these capabilities into action for clients. Partnering with internal and client-facing teams, you’ll pitch, deliver, and scale solutions that make a tangible difference – while helping raise the bar for analytics quality and technical skills across OLIVER. 

What you will be doing: 

• Hands-On Technical Leadership 
  • Play a key hands-on role in developing, prototyping, and embedding advanced analytics and GenAI-powered solutions, ensuring OLIVER stays ahead in AI-driven marketing 
  • Build and deploy advanced analytics and predictive modelling solutions for client and business challenges. Leveraging statistical methods, machine learning, and GenAI where appropriate 
  • Serve as an SME for key products (e.g. Share of Model), providing technical guidance, use-case development, and evangelism of outputs 
• Product Integration & Capability Acceleration 
  • Act as the product integrator and accelerator. Working hand-in-hand with your team of specialist SMEs (social & audience analytics, creative optimisation, marketing effectiveness) to build, enhance, and deploy new capabilities at speed 
  • Take ownership for delivering the analytics roadmap: architect solutions, pilot innovations, and grow product adoption and attachment rates, scaling solutions across OLIVER clients and teams
• Innovation & Commercial Impact 
  • Proactively identify, test, and validate early-stage product and solution opportunities, always with a focus on improving commercial outcomes and data-driven growth 
  • Support pitches and solution development with internal and client teams, bringing new analytics innovations directly into market-facing activity
• Brandtech Group Integration 
  • Actively bring relevant tools, technologies, and approaches from The Brandtech Group into OLIVER. Ensuring seamless integration, enhanced efficiency, and the best possible analytics impact for our clients
• Capability Development & Community Uplift 
  • Collaborate with regional and client data leads to upskill, mentor, and embed best-in-class practice within the broader OLIVER analytics community 
  • Help drive a culture of experimentation, high technical standards, and responsible data practices – ensuring analytics excellence and privacy by design is the norm across OLIVER teams 

What you need to be great in this role: 

• Strong technical builder: You thrive on rolling up your sleeves to scope, develop, and launch new analytics and GenAI solutions. Pushing projects through from idea to impact, overcoming obstacles to get results live 
• Modelling and analytics expertise: Hands-on experience with advanced analytics, predictive modelling, and statistical analysis (e.g. machine learning, regression, segmentation, uplift modelling) using modern toolsets and programming languages 
• GenAI and automation expertise: Demonstrated practical experience with GenAI / LLM-powered analytics (OpenAI, Gemini, Claude, etc), modern cloud and analytics platforms (Google Cloud, Azure, AWS, BigQuery, GA4), and leading automation / integration tools (Make.com, n8n, Zapier, etc) 
• Hands-on track record: Direct experience architecting, prototyping, and embedding advanced analytics, especially in social, audience, creative, and marketing effectiveness use cases 
• Commercial and product mindset: Driven to develop analytics solutions that deliver real business value. Demonstrated ability to create offerings that contribute to revenue growth and success in shaping and delivering winning client proposals and pitches 
• Curiosity for “what’s next”: Constantly scanning for new technologies and industry trends, eager to bring the best of Brandtech Group’s analytics innovations into OLIVER 
• Player-coach approach: Able to lead by example while upskilling, supporting, and inspiring analytics specialists – raising technical standards and championing best practice 
• Influence, resilience, and collaboration: Comfortable gaining consensus and building partnerships at all levels, adept at managing ambiguity, and skilled in navigating competing demands to keep momentum strong 
• Champion ethical analytics: Committed to privacy by design, secure data practices, and upholding OLIVER’s standards for responsible analytics at every step 

Req ID: 16121
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