About the Role
We are looking for a data-driven professional to support executive-level reporting by combining strong Business Intelligence (BI) capabilities with data engineering expertise. This role will play a key part in transforming raw data into meaningful insights, enabling leadership to make informed, strategic decisions.

Key Responsibilities

• Design, build, and maintain executive dashboards and reports (weekly, monthly, quarterly)
• Translate business and leadership requirements into data models and reporting solutions
• Develop and manage data pipelines to ensure reliable, accurate, and timely data flow
• Integrate data from multiple sources (internal systems, third-party platforms, etc.)
• Ensure data quality, consistency, and governance across reporting outputs
• Provide actionable insights and recommendations to support business strategy
• Collaborate with cross-functional teams (Finance, HR, Operations, Commercial, etc.)
• Automate reporting processes to improve efficiency and scalability

Requirements

• Proven experience in Business Intelligence, Data Analytics, or Data Engineering roles
• Strong proficiency in BI tools (e.g., Power BI, Tableau, Looker)
• Solid SQL skills and experience working with large datasets
• Experience with data pipeline tools and programming languages (e.g., Python, ETL tools)
• Understanding of data warehousing concepts and data modeling
• Strong analytical thinking and problem-solving skills
• Ability to communicate insights clearly to non-technical stakeholders (including executives)
• High attention to detail and strong sense of ownership

About DKatalis

DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem linked financial services business.

DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School, JNU with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.

We’re looking for a DevSecOps to join our high performing team. If you’re looking to be a part of a team who tackle real-world problems, DKatalis might just be the place for you! Work alongside world-class talents and join us as we use technology to make a change in the financial world.

Position Overview:

The DevSecOps will play a crucial role in implementing and maintaining a robust DevSecOps framework within our organization. This individual will be responsible for leading the integration of security practices into our development, operations, and infrastructure processes, ensuring the confidentiality, integrity, and availability of our systems and data. The DevSecOps will work closely with cross-functional teams, including development, operations, and security, to ensure a collaborative and efficient approach to security.

Responsibilities:

1. Develop and implement a comprehensive DevSecOps strategy to embed security practices throughout the software development lifecycle (SDLC) and operational processes.
2. Lead the establishment and maintenance of secure coding practices, including code review processes, vulnerability scanning, and penetration testing.
3. Collaborate with development teams to integrate security controls, such as static code analysis, into the continuous integration and deployment (CI/CD) pipelines.
4. Design and implement secure infrastructure and cloud architecture, including network security, identity and access management (IAM), and secure data storage.
5. Identify and evaluate potential security risks and vulnerabilities, and develop proactive strategies to mitigate them.
6. Manage security incident response processes, ensuring timely detection, investigation, and resolution of security incidents.
7. Monitor and report on key security metrics and indicators to assess the effectiveness of security controls and identify areas for improvement.
8. Stay up-to-date with the latest security technologies, trends, and best practices, and make recommendations for their adoption.
9. Provide guidance and mentorship to team members, fostering a culture of security awareness and knowledge sharing.

Qualifications:

1. Bachelor's degree in Computer Science, Information Security, or a related field. A master's degree is a plus.
2. Proven experience (3+ years) working in a DevSecOps or similar role, with hands-on experience in implementing security practices in software development and operations.
3. Strong understanding of secure coding practices, vulnerability management, and secure infrastructure design.
4. In-depth knowledge of industry standards and frameworks, such as OWASP, NIST, and CIS benchmark.
5. Experience with cloud platforms (e.g., AWS, Azure, GCP) and related security services.
6. Familiarity with CI/CD pipelines, configuration management tools (e.g., Ansible, Puppet), and containerization technologies (e.g., Docker, Kubernetes).
7. Hands-on experience with on-prem DevSecOps environments and tools will be advantageous.
8. Proficiency in scripting and automation using languages such as Python, Bash, or PowerShell

Role Summary

Own marketing performance analytics for content, influencer, and affiliate channels—covering KPI definitions, reporting and dashboarding, forecasting support, and insight generation. Partner with data/engineering teams as needed to ensure data availability and quality, and translate analysis into clear actions for stakeholders.

Business Impact

This role improves campaign effectiveness and planning by delivering consistent measurement, reliable reporting, and actionable insights. Success is reflected in faster decision-making, clearer performance narratives, and optimization recommendations that improve content and influencer outcomes.

Key Responsibilities

• Define data requirements and monitor end-to-end data quality for content, influencer, and affiliate reporting; partner with data/engineering teams on ETL and pipeline improvements.

• Consolidate data across platforms, categories, and business units to establish consistent definitions and a single source of truth.
• Design and own KPI frameworks (metric definitions, taxonomy, and governance) to ensure consistent measurement and comparability over time.
• Build and maintain dashboards, trackers, and recurring performance reports; automate refreshes where possible.
• Deliver campaign and always-on performance analysis, translating results into clear insights and optimization recommendations.
• Develop benchmarks and targets to support planning, forecasting, and goal setting.
• Support forecasting and performance planning, including building calculators and analytical tools for stakeholders.
• Own social listening analysis (trend monitoring, sentiment analysis, and driver identification) and turn findings into content/influencer opportunities.
• Serve as the SME for social listening and measurement tools, defining best practices and raising analytical depth across teams.
• Partner with cross-functional stakeholders (strategy, campaign management, group heads/leads) to translate business questions into data solutions.
• Drive data adoption and capability building by enabling and mentoring stakeholders on dashboards, tools, KPI interpretation, and forecasting methodologies.
• Improve process efficiency through automation using tools such as Power Automate, Power Query, and Python (where applicable).
• Ensure data accuracy, integrity, and documentation; continuously identify and implement process improvements.
• Stay current on industry trends and platform updates, proactively recommending measurement or strategy enhancements.

Requirements (Must-have)

• 4–6+ years in data analytics, marketing analytics, or digital performance analytics.

• Advanced Excel skills (complex formulas, pivoting, data modeling, and automation-oriented workflows).
• Proven experience managing data pipelines and working with large datasets end-to-end.
• Strong SQL skills; experience with BigQuery and/or Google Cloud Platform (GCP) is a plus.
• Hands-on analytics experience in content, influencer, or affiliate marketing, including KPI design and performance measurement.
• Working knowledge of analytics/statistics concepts (e.g., forecasting fundamentals, experiment/measurement thinking).
• Experience with automation tools (e.g., Power Automate, Power Query, or similar).
• Strong problem-solving skills with structured analytical thinking.
• Strong communication and stakeholder management skills; able to translate analysis into clear business recommendations.
• High ownership, attention to detail, and comfort operating in a fast-paced environment.

Preferred (Nice-to-have)

• Proficiency in Python for data processing, analysis, or automation.

• Experience with Power BI (or similar BI tools) including semantic models and self-serve reporting.
• Experience with social listening tools and methodologies (query building, taxonomy, sentiment/trend analysis).
• Experience building reusable data tools (calculators, templates, frameworks) for non-technical stakeholders.
  
  

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What will you be doing? 

Securing delivery on your projectsCommunicating your work and achievements among the teamWorking closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needsEnsuring that your solutions are bringing values to the client problematicBeing a good team player, knowing your role and responsibility in the global ambition

Key Responsibilities:

• Data Quality Analysis & Remediation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis.
• Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis
• Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing.
• Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like Power BI to illustrate key insights. They should present data in an understandable way for internal stakeholders, writing summaries that interpret the numbers and highlight important conclusions.
• Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback, contribute to discussions on what the data means, and help integrate their findings into broader census reports.

Key Qualifications:

• Bachelor’s degree in a quantitative field such as Statistics, Data Science, Economics, Mathematics, or similar. This educational background provides a solid foundation in data analysis techniques and statistical reasoning.
• Strong proficiency in data analysis tools and languages, particularly SQL for database querying, Excel for data manipulation, and programming in Python or R for more advanced analysis and automation. Experience with statistical libraries or packages (e.g., pandas, R’s tidyverse) is highly valuable.
• Demonstrated ability to perform in-depth data analysis and not just generate visuals. We need analysts who can write complex queries, perform calculations, and apply statistical tests if necessary – beyond assembling dashboard components. An analytical mindset and attention to detail are crucial for interpreting data correctly and spotting outliers or errors.
• Familiarity with business intelligence and visualization tools, especially Power BI, to aid in presenting analysis outcomes. While creating polished dashboards is not the primary focus, the analyst should be capable of using Power BI (and similar tools like Tableau if needed) to turn data into interpretable charts and graphs for reporting purposes. They should also understand data visualization best practices to communicate information effectively.
• Excellent communication skills, both written and verbal, with the ability to explain data findings in layman’s terms. A collaborative attitude is important, as Data Analysts will frequently interact with other teams (IT, field operations, subject-matter experts) to gather context and ensure that analyses meet the needs of the census project. They should be proactive in sharing insights and contributing to data-driven decisions within the organization.

Enterprise Sales Engineer

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• You have business-level fluency, both in verbal and written communication, in Bahasa Indonesia as you will be working with customers speaking this language and you are comfortable in English as this is our company's day to day communication language.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Enterprise Sales Engineer

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• You have business-level fluency, both in verbal and written communication, in Bahasa Indonesia as you will be working with customers speaking this language and you are comfortable in English as this is our company's day to day communication language.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Job Summary

Based in our Jakarta office, the Sales Engineer will provide guidance in the use of InterSystems' products as they best suit the requirements of the customer and its market. Product and business strategies are coordinated with the InterSystems Sales Team to apply existing and new products to customers' database and application needs.

This is a comprehensive and challenging role, requiring a mix of solution design skills, hands-on coding, presentation skills, technical architecture, sales awareness, business acumen, evangelism, mentoring and training. The Sales Engineer should have a strong technical background within healthcare software.

This role requires regular travel across SE Asia.

Responsibilities

• Investigate & demonstrate the use of InterSystems products with other 3rd party technologies.
• Manage the technical relationship with customer accounts, ensuring that they are aware of the latest product capabilities.
• Identify new opportunities within existing accounts.
• Build and demonstrate Proof of Concepts (POCs) for prospects and customers to illustrate the suitability, ease of use, performance, features, and reliability and/or connectivity capabilities of InterSystems technology.
• Participate in business and detailed technical discussions at all levels and in all departments of the customer's organisation to foster the adoption, use and deployment of InterSystems’ technologies.
• Recommend technical architecture, database schema, design patterns, migration and upgrade strategies and operational best practices.
• Install InterSystems software and assist with benchmarking exercises to determine optimal deployment configurations.
• Work as a hands-on lead application developer to coach partners and prospects, particularly in the early stages of adoption or during particularly technically challenging projects.
• Provide application programming in a variety of InterSystems technologies, and other technologies.
• Give corporate presentations to InterSystems' customers and prospects at site visits, marketing events and such venues. Topics include strategic and tactical considerations across both technical and business directions. Provide technical product demonstrations.
• Carry out formal training courses in InterSystems technologies.
• Support customers and prospects during beta test programmes or pre-launch activities and provide feedback to the software development groups.
• Assist with troubleshooting and interact with the World-wide Response Centre (WRC) to support resolution of technical problems.
• Provide consulting services for the Sales Department and other InterSystems departments (Marketing, Support, Development, Documentation among others) as requested.
• Design technical architecture with IRIS and other solutions.
• Connect with Subject Matter Experts (SME) to identify solutions
  • Providing recommendations and roadmaps for proposed solutions
  • Performing design, debug, and performance analysis on solutions
  • Documenting and sharing best practice knowledge for new solutions
  • Advocating for process improvements and helping develop solutions
  • Regularly communicating new features and benefits to partners, customers, and other stakeholders
  • Providing technical leadership to a team throughout the project lifecycle
  • Developing proof-of-concept projects to validate your proposed solutions
  • Reviewing and validating solutions designs from other team members

Experience & Qualifications

• Broad knowledge of IT Industry issues & trends including integration and cloud, with specific vertical market & technical knowledge in Integration (SOA, ESB, EAI, ETL, BI…).
• Proven leadership or technical management in an application development environment
• Highly experienced programming with demonstrable current hands-on expertise in object-oriented languages such as C#, C++ or Java / Jakarta EE.
• Highly knowledgeable in Python development
• Experience with clinical systems, EPRs, Health Exchange and protocols in healthcare, HL7 FHIR and IHE.
• Ongoing experience within the design, development & deployment of complex applications.
• Knowledge of application frameworks, application servers and server-less programming models.
• Knowledge of agile software development processes and continuous development.
• Extensive use of 2 or more databases such as InterSystems Caché, Oracle, SQLServer, PostgreSQL, Informix or DB2/UDB, including designing logical and physical database schema, good SQL and JDBC/ODBC expertise, installation and configuration skills, and performance tuning.
• Proven business analysis and problem solving skills
• Understanding of the business considerations of application development, support and deployment
• Excellent analytical skill
• English language fluency
• Software Engineering experience.
• Familiarity with modern AI technologies, including Generative AI, LLM integration, Agentic AI systems, and applied machine learning frameworks.

Education and Training

• Degree in Computing or a related discipline

About DKatalis

DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem linked financial services business.

DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School, JNU with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.

We’re looking for a Senior Cloud Infrastructure Engineer to join our team and help build a stable and scale our infrastructure on Google Cloud Platform. If you’re looking to be a part of a team who tackle real-world problems, DKatalis might just be the place for you! Work alongside world-class talents and join us as we use technology to make a change in the financial world.

Cloud Infrastructure at DKatalis:

The Cloud Infrastructure Team at Dakalis is a cross cutting engineering team with a mission to grow, support and deliver an agile, secure and scalable cloud infrastructure that powers Bank Jago’s digital banking platform.

Embracing and adopting modern Cloud Native and Infrastructure as Code as fore front practices, scale up the management and simplification of a complex cloud infrastructure with the goal of scaling a platform that is experiencing rapid growth in the millions of transactions and customers.

Technologies We Use:

• Cloud Infra: Google Cloud, Kubernetes, Docker
• Devops: Gitlab, Terraform, Ansible, Sonarqube, Sonatype Nexus, Vault
• Datastore and Service Bus: Redis, Mongo, Kafka
• Monitoring: Dynatrace, Prometheus, Grafana, OpenSearch, GCP Monitoring, Pagerduty

Role and Responsibilities:

• Possess deep knowledge and understanding of Kubernetes and Cloud infrastructure platforms such as GCP and AWS
• 5+ years of experience managing technical projects within infrastructure and cloud domains.
• Experience automating infrastructure provisioning, using continuous integration/delivery tools
• Experience in application containerization and deploying container orchestration technologies such as Google Kubernetes Engine (GKE).
• Ability to balance doing things right with fixing things quickly. Flexible and pragmatic, while working towards improving the long-term health of the system.
• You have a strong systems experience and have an analytical approach to identifying problem components based on data points. 
• Be passionate about security compliance, zero downtime infrastructure and highly scalable environments
• Be willing to coach, mentor and grow a team of talented cloud infrastructure engineers
• Have good communication skills and be comfortable working with product owners and domain experts to understand requirements
• Oversee end-to-end Platform architecture and roadmap focused on best-practice approaches to design, security, testing, and performance
• Comfortable working cross-functionally to ensure success of the infrastructure and operations. You will be closely collaborating with other engineering and product teams to ensure that expected system behavior is understood and monitoring exists to detect anomalies.
• Lead in-depth technical and data analysis to gauge service trends and drive improvements.
• You are comfortable with on-call responsibility and are able to manage a crisis working with the broader team, communicating progress and challenges during the crisis.
• Participate in continuous improvement and execution of quality and timely major incident root cause analysis and blameless post-mortem activities to ensure we take action to avoid similar problems in the future.

Requirements:

• You are either a Sysadmin or Infrastructure engineer ideally strong in Linux systems, networking, monitoring and automation; preferably have experience working on distributed systems at scale.
• At least 5 years of hands-on-experience in architecting, designing, developing and implementing cloud solutions on Google Cloud Platform (GCE, GKE, GAE, GCS, Cloud SQL, VPC, Resource Manager, StackDriver, Cloud CDN, Cloud IAM)
• Scripting - Terraform, Bash, Shell, Python (bonus)
• Configuration Management - Chef, Puppet, Ansible etc
• Experience with - Docker, Kubernetes, Gitlab, ELK
• Exposure to relational, no-sql databases and caching solutions - Mongodb, Redis
• Degree in Computer Science, Engineering, or equivalent experience.
• Capable of working in a complex, fast paced environment and ability to maintain calm during stressful situations

About the Role
We are looking for a Full Stack Developer who is passionate about building scalable, high-quality web applications. You will be responsible for developing both front-end and back-end components, collaborating with cross-functional teams, and delivering seamless user experiences.

Key Responsibilities

• Develop and maintain web applications across front-end and back-end systems
• Design, build, and optimize scalable APIs and databases
• Collaborate with product, design, and other stakeholders to define and implement new features
• Ensure application performance, quality, and responsiveness
• Troubleshoot, debug, and upgrade existing systems
• Write clean, maintainable, and efficient code
• Participate in code reviews and contribute to best practices

Requirements

• Proven experience as a Full Stack Developer or similar role
• Strong proficiency in front-end technologies (e.g., HTML, CSS, JavaScript, React, or Angular)
• Experience with back-end languages (e.g., Node.js, Python, Java, or PHP)
• Familiarity with databases (e.g., MySQL, PostgreSQL, MongoDB)
• Understanding of RESTful APIs and web services
• Knowledge of version control systems (e.g., Git)
• Strong problem-solving skills and attention to detail

About the Role
In this role, you will support the development and adoption of AI-driven tools and solutions that improve internal workflows and team productivity. You will work closely with different teams to explore new technologies, build simple prototypes, support best practices, and help measure the impact of these solutions across the organization.

   
What You Will Do

• Support Agentic Workflows: Participate in the development of AI-powered automations that streamline internal engineering and operational processes — learning how these systems are designed and shipped end-to-end.
• Explore MCP & AI Tooling: Get hands-on experience with Model Context Protocol (MCP) servers and tools that connect AI agents to internal systems, APIs, and data sources.
• Support AI Adoption: Help teams integrate AI tools like Claude Code and Kiro into their daily workflows. Be the person who finds new ways to make things faster.
• Contribute to Governance & Security: Support the AI team in evaluating AI tools, documenting best practices, and helping establish guidelines for safe, responsible usage across the organization.
• Prototype & Learn: Build small internal tools, bots, or proof-of-concepts that demonstrate the potential of agentic AI — with guidance and mentorship from the team.
• Measure Impact: Help track and quantify efficiency gains from AI adoption — time saved, automation coverage, and developer experience improvements.

   
What We Are Looking For

• Agentic AI Curiosity: You have been tinkering with tools such as Claude Code, Cursor, Kiro, or similar AI-native development tools. You don't need to be an expert — but you should be excited about what these tools can do. You should aware how how such tools can have their capabilities expanded (e.g. through MCPs, Skills)
• The "100x" Mindset: You are obsessed with efficiency. You look at a 10-step manual process and immediately think about how to reduce it to one. You believe AI should be doing most of the repetitive work so humans can focus on what matters.
• Language Agnostic: You've tinkered with at least one backend language (e.g., Python, Go, TypeScript, Ruby) and are eager to learn whatever gets the job done.
• Tools: Familiarity with Git for version control.
• Mindset: A "can-do" attitude, a love for trying new AI tools the day they launch, a strong desire to learn, and the ability to communicate your ideas clearly.
• Bonus Points: Experience with workflow orchestration tools (n8n, LangChain, etc.), familiarity with LLM APIs, or an interest in Fintech, Crypto, or how money moves globally.

About Us

Artefact is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organisations transform data into value and business impact.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results.

We have 1700+ employees across 23 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

About the Role

As a Consulting Manager, you will play a pivotal role in leading AI-driven transformation projects for our clients, shaping their data, technology, and business strategies.

You will leverage your consulting expertise and strong interest in AI to deliver impactful solutions, bridging the gap between business needs and technological possibilities.

Working closely with cross-functional project teams, you will be at the forefront of defining client challenges, developing strategic recommendations, and delivering high-impact initiatives involving AI, data engineering, and digital innovation.

Our most successful Managers are passionate about technology, adaptable across industries, and quickly take ownership of client relationships and team development.

Key Areas of Responsibility

• Define client needs and project scopes through workshops, interviews, and diagnostics with business and technology stakeholders.
• Lead and deliver AI-related consulting projects, including AI adoption strategies, data science application roadmaps, and operational transformations.
• Perform advanced research and structured analysis to solve strategic challenges, particularly around AI deployment, data-driven innovation, and process automation.
• Formulate and present strategic recommendations backed by data insights, AI applications, and business analysis.
• Develop new business opportunities by identifying client challenges and translating them into concrete consulting proposals.
• Collaborate with AI experts, data scientists, and engineers to ensure pragmatic and scalable client solutions.
• Contribute to thought leadership on AI, data transformation, and digital innovation through articles, research papers, and client-facing publications.

Competences & Skills

• 5–10 years of full-time, client-facing consulting experience (preferably with exposure to technology, digital, or data-driven projects).
• Prior experience working at a leading consulting firm (e.g., top-tier or recognized boutique consulting firms) is highly desirable.
• Strong interest in AI applications, machine learning, automation, or data strategy — practical project experience in these areas is highly desirable.
• Bachelor's or Master’s degree in Business, Technology, Engineering, Data Science, or a related field.
• Solid knowledge of consulting methodologies and project management best practices.
• Ability to structure problems, perform advanced business analysis, and translate findings into actionable recommendations.
• Excellent intercultural communication skills and experience working with diverse teams across industries.
• Comfort with fast-paced environments and ambiguity typical of AI and emerging technology engagements.
• Proficiency with business analysis tools such as PowerPoint and Excel; familiarity with AI/ML concepts and/or data environments (SQL, Python basics) is a plus.

Our Belief

We believe data is changing the world, and it’s just the beginning. We want this to be done in the right way, with transparency and ethics. This is the only way to create sustainable impact for business and society.

Our Mission

We are on a mission to build the next generation of data leaders who:

• Fully capture the power of data & digital to deliver business value ;
• Bring understanding, trust & transparency of data into our society.

Our Values

• Collaboration : People of different background and expertise working closely together;
• Trust & Transparency: Dealing with data topics with integrity and ethics; Realistic and honest with our capabilities and limitations;
• Innovation: Always working on the most trendy and new topics on data and digital; Always on top of the new ways of using data;
• Action: We would rather do than to tell what to do; Has a “building the plane while flying” agile mentality.

Our Unique Attributes

• We bring great value to business and create a better society with the understanding, transparency and ethical use of data ;
• We build the next generation of data leaders ;
• We disrupt the market :
• Data Native - Born with data and defining data ;
• ART + SCIENCE - Mixture of talents in ART (Creative, Planning, Media, Consumer Engagement) and SCIENCE (Data Consulting, Data Science, Data Engineer) ;
• One P&L - Integrated & collaborative, with all chapters working toward the same goal ;
• End to End - Capabilities from Strategize to Build to Run.

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

What you will be doing?

About Media Futures Group (MFG)

Google has consolidated its media agency partnership into WPP Media, building on the world class digital work that Essence has delivered for Google for over 17 years. Media Futures Group (MFG) is a bespoke team that delivers on our commitment to Google for a more strategic, creative and integrated media approach established to drive better business results.

The MFG team is made up of best in class digital, offline, and integrated media experts who work together to enhance media’s contribution to Google’s business. MFG is powered by EssenceMediacom and other constituent parts of GroupM around the world.

The Role

The Media Activation Manager plays a critical role within the Media Activation (Programmatic) team at MFG, responsible for the flawless execution and optimization of programmatic and biddables campaigns for Google focused largely on display and video channels. This role is primarily focused on performance campaigns and will leverage a combination of real-time and guaranteed buying across both open exchange and/or direct publishers as needed. This role demands a deep understanding of programmatic platforms, a data-driven approach to optimization, and strong communication skills to collaborate effectively with internal and external stakeholders.

Role responsibilities include but are not limited to:

• Directly or indirectly (via management) supports 1-3 markets/accounts
• Able to own up to 3 campaigns E2E at any one time while assisting on others as needed
• ~60% time allocated to individual campaign assignments, ~40% time allocated to work outside of individual campaigns (e.g. management tasks, team projects, training others)
• Delivers media plans, wrap-ups, and milestone outputs utilizing established best practices against client communication strategy according to timelines
• Able to launch campaigns on time/does not contribute to gating issues, in compliance with platform (DSP/DMP) best practices (naming conventions, IO/LI)
• Flawless delivery of all campaigns (launch, pacing, performance goals)
• Meets campaign objectives by EOQ (e,g, client KPIs, Pacing), and/or flags potential performanceissues in a timely manner
• Confident and steady in optimization and improvement of campaign performance (not just delivery). 
• Strong knowledge of media planning fundamentals e.g. reach, frequency, channels, formats
• Strong knowledge of tactical essentials such as inventory and data sources
• Excellent tracking of sub-campaign level details including but not limited to pacing, performance, etc.
• Strong understanding of adjacent and/or connected disciplines (e.g. Data Strategy, Analytics, AdOps, Experience) and relationship with Programmatic 
• Strong knowledge of the  programmatic/ad-tech ecosystem (publishers, data, platform, etc.)
• Strong grasp of overall campaign lifecycle and the role programmatic plays within it
• Communicates successes, failures, and escalations to line manager in a timely manner
• Directly responsible for managing 1 junior team member assuming staffing
• Escalation point for campaign level issues

Desired background experience:

Required

• 3-4 years work experience on the programmatic/ad-tech buy-side (e.g. agency, trading desk, DSP company)
• Excellent proficiency planning and deploying campaigns using enterprise level DSPs (e.g. DV360, The Trade Desk, MediaMath)
• Experience planning and executing campaigns delivering against both Brand and Direct Response objectives
• Experience deploying campaigns across multiple environments/devices via both direct and open buying leveraging audience and/or contextual data as needed
• High attention to detail, and good organizational skills, with an understanding of optimization levers & testing approaches across programmatic platforms
• Experience directly managing at least one direct report with demonstrable skills in guiding his/her professional development
• Highly developed interpersonal, team building and relationship management skills
• Strong analytical skills and a natural affinity for numbers is key; You must be able to analyze raw data, draw insights and develop actionable recommendations as needed
• Strong organization and time management skills. Able to prioritize recurring deliverables against ad hoc requests. Mindful of personal deliverables and projects without needing reminding from line manager
• Up-to-date knowledge on the current state of programmatic/ad/mar-tech with a POV on future developments
• A passion for everything digital, with an active interest and understanding of digital marketing/advertising industry trends

Desirable

• Strong Google stack experience
• Experience working with Data Management Platforms (DMPs) or equivalent data organisation/deployment tool/platform
• Familiar with feed-based creative setups using Creative Management Platforms (CMPs)
• Experience working with data science teams and good grasp of campaign analytics fundamentals (e.g. control/exposed segmentation, survey and panel based measurement, regression analysis)
• Experience with Google Analytics (plus certification)
• Experience with running campaigns across multiple countries / languages
• Familiarity with industry-relevant programming languages (e.g. HTML, Javascript, SQL, Python, R)

What you can expect from MFG

MFG’s mission is to make advertising more valuable to the world. We do this by employing the world’s very best talent to solve some of the toughest challenges of today’s digital marketing landscape. It’s important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an MFG employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work.