Job Description
Director – Group Product Manager, Data AI Studio Capability
Role Overview
The Director – Group Product Manager, Data AI Studio Capability will lead theend-to-end product portfolio for the Data AI Studio, a foundational capability that enables development, deployment, and operation of enterprise data and AI products.
The Data AI Studio serves as acore enablement layer powering multiple products and use cases, providing standardized capabilities across data ingestion, processing, transformation, and AI/ML development and orchestration.
This role is accountable forproduct strategy, execution, adoption, and value realization of the Studio capability, ensuring it operates as ascalable, reusable, and platform-aligned product ecosystem. The role also carriesfull PL accountability, including investment decisions, prioritization, and value delivery across the portfolio.
The Director will lead a team ofproduct managers and architects, working closely with engineering, enterprise platform teams, and enterprise architecture to deliver consistent, high-impact outcomes.
Key Responsibilities
Product Ownership – Data AI Studio Capability
- Own theend-to-end product strategy, roadmap, and lifecycle for the Data AI Studio capability
- Define how the Studio evolves as amulti-tenant, reusable enablement platform supporting diverse products and use cases
- Ensure alignment betweenproduct vision, platform capabilities, and business priorities
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PL Ownership Value Realization
- OwnPL accountability for the Studio capability, including:
- Investment prioritization
- Capacity planning
- Value realization across product adoption and usage
- Drive decisions that balancecost, scalability, and business impact
- Ensure measurable outcomes across:
- Product adoption
- Capability utilization
- Business value delivered
Capability Definition Evolution
- Define and evolve core Studio capabilities, including:
- Data ingestion frameworks
- Pipeline orchestration and workflow management
- Data processing and transformation layers
- AI/ML development and operationalization
- Ensure capabilities are:
- Modular and extensible
- Reusable across multiple products
- Aligned with enterprise platform and architecture standards
Execution Delivery Leadership
- Driveend-to-end execution across Studio capabilities and product teams
- Establish strong execution discipline, including:
- Sprint and release management
- Roadmap tracking and milestone governance
- Ensure alignment betweenproduct commitments, engineering delivery, and platform dependencies
Engineering Platform Alignment
- Partner closely with engineering leadership to deliverrobust and scalable capabilities
- Ensure alignment with:
- Enterprise platform teams
- Underlying cloud and data platform ecosystems
- Drive adoption ofshared services, standardized patterns, and reusable platform capabilities
Consumption Adoption Model
- Define how the Studio capability is:
- Consumed by multiple product teams
- Adopted across the organization
- Establish clear patterns for:
- Onboarding
- Capability reuse
- Avoidance of redundant development efforts
- Drive scale throughconsistent and repeatable consumption models
Team Leadership – Product Managers Architects
- Lead and develop a team ofproduct managers and architects responsible for Studio sub-capabilities
- Define clear ownership across:
- Capability domains
- Delivery outcomes
- Build a high-performing organization focused on:
- Accountability
- Execution discipline
- Scalable product thinking
Stakeholder Portfolio Alignment
- Engage with product leaders and stakeholders to:
- Align on capability needs and priorities
- Ensure Studio roadmap reflects enterprise demand
- Act as thesingle point of accountability for Studio product direction
Expected Outcomes
- A scalable, well-definedData AI Studio capability powering multiple products
- Strong adoption of Studio capabilities across product teams
- Reduced duplication and improved efficiency in data and AI development
- Consistent and standardized approaches to:
- Data ingestion
- Pipeline orchestration
- AI/ML workflows
- Measurable business impact througheffective PL management and value realization
Experience Profile
Required Qualifications
- 10 years of experience inproduct management, including leadership across complex, platform-based products
- Proven experience owningend-to-end product portfolios with PL accountability
- Strong understanding of:
- Data pipelines and processing
- AI/ML development lifecycle
- Platform-based product architectures
- Demonstrated ability to leadmulti-disciplinary teams (product architecture)
Technology exposure
- Databricks
- Matillion, DBT or similar
- Collibra or similar
- Dataiku, Sage maker or similar
- Agentic AI awareness
Preferred Qualifications
- Experience building or managingenterprise data or AI platforms
- Experience drivingplatform adoption across multiple product teams
- Experience withinglobal delivery models (US and India)
Leadership Characteristics
- Strong operator with focus onexecution, scale, and measurable outcomes
- Product leader who understands platforms asenabling ecosystems
- Ability to manage complexity acrossmultiple products, capabilities, and stakeholders
- High accountability mindset with ownership ofoutcomes, value, and delivery
Required Skills:
Business Intelligence (BI), Business Management, Database Administration, Data Engineering, Data Management, Data Modeling, Data Pipelines, Data Visualization, Delivering Value, Design Applications, Enterprise Architecture (EA), Enterprise Data, Enterprise Data Management, Enterprise Operations, Financial Decision Making, Information Management, Leadership, Prioritization, Product Management, Product Strategies, Software Development, Software Development Life Cycle (SDLC), System Designs
Preferred Skills:
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Current Contingent Workers applyHERE
Search Firm Representatives Please Read Carefully
Merck Co., Inc., Rahway, NJ, USA, also known as Merck Sharp Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
Hybrid
Shift:
Valid Driving License:
Hazardous Material(s):
Job Posting End Date:
07/18/2026*A job posting is effective until 11:59:59PM on the dayBEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFORE the job posting end date.
Requisition ID: R398454
