About the Role

As a member of the Founder's Office, you will be the bridge between high-level vision and operational excellence. The moment our B2B Growth team secures a partnership, you take the baton - becoming the Single Point of Contact (SPOC) and ultimate owner of the partner's success. Every commitment made on paper, you turn into a seamless, high-impact reality.

This role is far more than managing a checklist. You will navigate internal Business Units (BUs), align complex Standard Operating Procedures, and ensure our partners view us as an indispensable extension of their own team. If you thrive in ambiguity, lead through influence, and get satisfaction from making big things actually work - this is your seat.

Key Responsibilities

• End-to-End Partnership Management. Take full ownership of the partner lifecycle post-onboarding - driving partner experience, retention, and the overall success of every collaboration.
• Cross-Functional Orchestration. Act as the connective tissue between the partner and internal teams. Work closely with BU Heads across Care, Product, and Operations to align workflows with the SLAs and health outcomes promised to the partner.
• Operational Excellence (SOPs & SLAs). Define, implement, and continuously monitor the Standard Operating Procedures required to deliver on partnership goals. Ensure internal delivery consistently meets the Service Level Agreements committed during the sales process.
• Communication & Reporting. Lead all partner communications. Build and share comprehensive scoreboards and performance dashboards that provide transparency on business metrics, health outcomes, and project milestones.
• Revenue & Commitment Delivery. Ensure all contractual obligations are met to trigger timely payments. Proactively identify and unblock hurdles that prevent us from delivering on our value proposition.
• Founder's Liaison. Provide regular strategic updates to the Founder on partnership health - surfacing risks early and proposing solutions to scale the B2B ecosystem.

What We're Looking For

• The “Owner” Mentality. You don't wait for instructions. You see a gap in the process and you bridge it. You feel personally responsible for the partner's ROI.
• Stakeholder Management. You can navigate a room full of BU Heads, influence without direct authority, and align everyone toward a common business metric.
• Data-Driven Rigor. You are comfortable living inside scoreboards. You translate raw data into a narrative that proves value to a partner.
• Precision Communication. Whether it's a high-stakes email to a partner CEO or an internal Slack note to a care lead, your communication is clear, professional, and results-oriented.
• Project Management Expertise. A proven track record of managing complex, multi-layered projects where missing a deadline isn't an option.

Education, Experience & Technical Skills

Education

• Bachelor's degree required in Engineering, Business, Economics, or a related discipline from a reputed institution.
• MBA strongly preferred from a Tier-1 B-school (IIM, ISB, XLRI, FMS, or equivalent).

Experience

• 5–8 years of total experience, with at least 3 years in partnership management, key account management, customer success, strategy & operations, or top-tier management consulting.
• Demonstrated ownership of high-value B2B relationships where you were directly accountable for retention, renewals, or revenue delivery.
• Healthcare, digital health, or B2B SaaS exposure preferred. Comfort with clinical or care-delivery stakeholders is a strong plus.
• Founder's Office, Chief of Staff, or Program Management experience in a high-growth startup environment is highly desirable.
• Proven track record of leading cross-functional initiatives across Product, Operations, and customer-facing teams.

Technical Skill Set

• Project Management Tooling. Hands-on with Asana, Jira, ClickUp, or Monday - comfortable owning Gantt charts, sprint plans, and milestone trackers.
• Data & Analytics. Advanced Excel / Google Sheets (pivot tables, lookups, modeling). Working knowledge of SQL and a BI tool such as Looker, Tableau, Power BI, or Metabase.
• Dashboarding & Reporting. Experience designing partner-facing scoreboards and operational dashboards that translate metrics into clear narratives.
• Communication & Presentation. Strong PowerPoint / Google Slides craft for executive-grade decks, and crisp written communication for partner-facing emails and internal briefs.
• CRM & Workflow Systems. Familiarity with Salesforce, HubSpot, or equivalent CRM, plus collaboration tools like Slack, Notion, and Confluence.
• Process Documentation. Comfort authoring SOPs, RACI matrices, runbooks, and SLA frameworks from scratch.

What Success Looks Like

In your first 6 to 12 months, you will have established yourself as the trusted owner of our most strategic partnerships - with documented SOPs in place, partner scoreboards live and reviewed cadenced with the Founder, all SLAs consistently met, and partners actively expanding their commitments because of the experience you have engineered.

If you are excited by the idea of operating at the intersection of strategy and execution - and being directly accountable to the Founder for outcomes that shape our B2B future - we'd love to meet you.

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

Job Overview:

We are looking for a senior technical lead to design, scale, and govern enterprise-grade data platforms across Microsoft Fabric, Databricks, and Snowflake. The role focuses on defining data architecture standards, enabling AI/GenAI-ready platforms, leading engineering teams, and delivering secure, high-performance cloud data solutions that support analytics and business outcomes.

Key Responsibilities

• Lead the design and implementation of scalable data platforms using Microsoft Fabric, Databricks and Snowflake including Pipelines, Notebooks, Lakehouse, Data Warehouse, and Semantic Models.
• Define end-to-end data architecture standards, patterns, and best practices across ingestion, storage, transformation, modeling, and consumption layers.
• Guide technical decisions on compute patterns, storage optimization, pipeline orchestration, and data modeling frameworks.
• Evaluate and integrate emerging technologies to modernize the platform and enable AI/GenAI workloads.
• Partner with AI/ML teams to productionize models and integrate them with enterprise data workflows.
• Ensure data governance, lineage tracking, and metadata standards to support trustworthy AI initiatives.
• Champion data governance, security, privacy, and compliance requirements within the platform.
• Implement observability frameworks for pipeline monitoring, performance tuning, and reliability engineering.
• Drive continuous improvement initiatives to enhance platform robustness and engineering productivity.
• Work closely with product owners, business stakeholders, architects, and analytics teams to translate requirements into scalable technical solutions.
• Serve as the primary technical point of contact for data platform projects and stakeholders.
• Communicate technical roadmaps, project risks, and delivery plans clearly and effectively.
• Develop and deliver dashboards and reports using Power BI and Tableau.

Key Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent professional experience.
• 12+ years of experience in data engineering, data platform development, or cloud data architecture.
• 3+ years in a technical leadership or team management role.
• Mandatory deep hands-on expertise with Microsoft Fabric, Snowflake or Databricks:
  • Pipelines
  • Notebooks
  • Lakehouse
  • Data Warehouse
  • Semantic Models
• Strong proficiency in PySpark, distributed compute, and data transformation frameworks.
• Advanced SQL capabilities and experience building stored procedures for transactional and analytical workloads.
• Proven track record in designing and delivering large-scale data platforms in cloud environments (Azure preferred).
• Solid understanding of AI/ML data workflows, GenAI dataset preparation, and integration patterns.
• Demonstrated ability to lead engineering teams, drive architectural decisions, and oversee complex technology implementations.
• Strong communication, stakeholder management, and technical documentation skills.
• Proficiency in creating interactive dashboards and reports using Power BI and Tableau.

Job Overview:

We are seeking an experienced Senior Data Engineer to build and optimize scalable data platforms using Microsoft Fabric, Databricks (and/or Snowflake). The role focuses on designing reliable data pipelines, lakehouse and warehouse models, and semantic layers that enable enterprise analytics, BI, and AI/Gen AI use cases.

You will work closely with analytics, BI, and data science teams to deliver high-quality, performant, and governed data solutions, while driving best practices in data engineering, optimization, and platform design.

Key Responsibilities

• Design, build, and maintain end-to-end data solutions on Microsoft Fabric, Databricks, including Pipelines, Notebooks, Lakehouse, Data Warehouse, and Semantic Models.
• Implement scalable data ingestion, transformation, and loading (ETL/ELT) using Fabric Pipelines and PySpark.
• Develop robust data models and schemas optimized for analytics, reporting, and AI-driven consumption.
• Create and maintain semantic models to support Power BI and enterprise BI solutions.
• Engineer high-performance data solutions that meet requirements for throughput, scalability, quality, and security.
• Author efficient PySpark and SQL code for large-scale data transformation, data quality management, and business rule processing.
• Build reusable framework components for metadata-driven pipelines and automation.
• Optimize Lakehouse and Data Warehouse performance, including partitioning, indexing, Delta optimization, and compute tuning.
• Develop and maintain stored procedures and advanced SQL logic for operational workloads.
• Design and prepare feature-ready datasets for AI and GenAI applications.
• Collaborate with data scientists and ML engineers to productionize AI pipelines.
• Implement data governance and metadata practices required for responsible AI.
• Leverage Fabric, Databricks capabilities to orchestrate and monitor AI-related data workflows.
• Apply data governance, privacy, and security standards across all engineered assets.
• Implement monitoring, alerting, and observability best practices for pipelines and compute workloads.
• Drive data quality initiatives, including validation frameworks, profiling, and anomaly detection.
• Partner with analytics, BI, data science, and product teams to understand requirements and translate them into technical solutions.
• Mentor junior engineers and contribute to engineering standards and patterns.
• Participate in architecture reviews, technical design sessions, and roadmap planning.
• Develop and deliver dashboards and reports using Power BI and Tableau.

Required Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
• 7+ years of professional experience in data engineering or a related discipline.
• Mandatory hands-on expertise with Microsoft Fabric, Databricks or Snowflake including:
  • Pipelines
  • Notebooks
  • Lakehouse
  •  Data Warehouse
  • Semantic Models
• Advanced proficiency in PySpark for distributed data processing.
• Strong command of SQL for analytical and operational workloads.
• Experience developing and optimizing stored procedures and complex SQL transformations.
• Understanding of GenAI architectures, vectorization, embedding pipelines, and data preparation for LLM use cases.
• Strong knowledge of data modeling, ETL/ELT patterns, and modern data lakehouse principles.
• Experience designing and optimizing large-scale data pipelines in cloud environments (Azure preferred).
• Excellent problem-solving skills with the ability to analyze complex data workflows.
• Proficiency in creating interactive dashboards and reports using Power BI and Tableau.

Why we're hiring:

WPP Enterprise Technology provides IT services for WPP. As the creative transformation company, WPP is helping its clients transform the future through extraordinary work. WPP ET is an integral part of that journey, and we are proud to provide technology for some of the world’s most creative brands.

At WPP, technology is at the heart of everything we do, and it is WPP ET’s mission to enable everyone to collaborate, create and thrive. WPP is undergoing a significant transformation to modernise ways of working, drive automation and elevate colleague and client experiences and deliver insight from WPP’s petabytes of data.

We are looking for a skilled and passionate Data Visualization Expert to join our dynamic team. The ideal candidate will have deep expertise in SQL for data querying, along with strong experience in visualizing complex datasets into intuitive, interactive, and compelling visual representations. The role requires a strong understanding of data trends, patterns, and insights, paired with a creative approach to presenting data for business decision-making.

The AOC is chartered to support automations that drive efficiency and effectiveness through the business, focusing on most impact for our shared interests. We serve the operational needs of GroupM and operating companies through process automation and other technology solutions.

You will have daily contact with business stakeholders from WPP Media and operating companies and must be comfortable working with business stakeholders directly. Our primary goal is to drive measurable business outcomes and grow our contribution, and we must earn our right to exist. This is a small, scrappy group. We all‘get our hands in the dirt’ and play multiple roles.

What you'll be doing:

• Data Analysis & Visualization:
  • Design, build, and maintain visually compelling dashboards, reports, and charts using advanced visualization tools like Tableau, Power BI, etc.
  • Know how of when and how to design data model for effective Dashboards yielding higher efficiency and lesser loading time
  • Transform raw data into actionable insights by analysing trends and patterns and presenting them through intuitive visualizations.
  • Collaborate with business stakeholders to understand key metrics and create visual solutions that align with business objectives.
• SQL Expertise:
  • Use SQL to extract, manipulate, and aggregate data from relational databases (e.g., MySQL, PostgreSQL, SQL Server, or similar).
  • Able to write SQL queries to prepare data for visualizations, ensuring the data is clean, accurate, and properly structured for analysis.
  • Optimize SQL queries for performance and efficiency in large datasets.
• Data Integration & Transformation:
  • Integrate data from multiple sources, including internal databases, APIs, and external systems, into cohesive visual reporting frameworks.
  • Perform data wrangling, transformation, and cleansing to ensure data quality and consistency.
• Continuous Improvement:
  • Stay up to date with the latest trends in data visualization, SQL best practices, and data analytics tools.
  • Continuously improve visualizations based on user feedback and emerging business needs.

What you'll need:

• Technical Skills:
  • Expertise in SQL for querying and manipulating relational databases (MySQL, PostgreSQL, SQL
  • Server, etc.).
  • Strong experience with data visualization tools (e.g., Tableau, Power BI)
  • Proven Knowledge and Experience with DAX, MDX, etc
  • Proficiency in Excel and other data manipulation tools
  • Familiarity with ETL processes and data pipelines
  • Experience with Python or R for advanced analytics (optional but a plus)
• Problem-solving – proven experience dealing with technical blockers.
• Analytical Skills:
  • Ability to analyse complex data and identify key insights and trends
  • Strong attention to detail, ensuring that data visualizations are accurate and insightful
  • Understanding of data modelling and normalization principles
• Education & Experience:
  • Bachelor’s or master’s degree in computer science, Data Science, Statistics, Engineering, or a related field
  • 7+ years of experience in Data Visualization, SQL , RDBMS, Large Dataset Modelling, Interactive Dashboards
  • Experience working with large datasets and providing insights to drive business decisions –Data Telling a Story
• Mandatory Qualifications/Certifications:
  • Microsoft PL-300
• Preferred Qualifications:
  • Familiarity with cloud data platforms (e.g., AWS, Google Cloud, Azure(must))
  • Experience with advanced data analytics and machine learning models (a plus)
  • Knowledge of data warehousing concepts and technologies
  • Familiarity with Agile methodologies

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?