Director – Group Product Manager

Director – Group Product Manager, Data & AI Studio Capability

Role Overview: The Director will lead the end‑to‑end product portfolio for the Data & AI Studio, a foundational capability that enables the development, deployment, and operation of enterprise data and AI products. The Studio serves as a core enablement layer, providing standardized capabilities across data ingestion, processing, transformation, and AI/ML development and orchestration. The role is accountable for product strategy, execution, adoption, and value realization, ensuring the Studio operates as a scalable, reusable, platform‑aligned ecosystem. Full P&L ownership, investment decisions, prioritization, and value delivery are also within scope. The Director will lead a team of product managers and architects and work closely with engineering, enterprise platform teams, and architecture to deliver high‑impact outcomes.

Key Responsibilities

• Own end‑to‑end product strategy, roadmap, and lifecycle for the Data & AI Studio capability.
• Define how the Studio evolves as a multi‑tenant, reusable enablement platform supporting diverse products and use cases.
• Ensure alignment between product vision, platform capabilities, and business priorities.
• Own P&L accountability for the Studio capability, including investment prioritization, capacity planning, and value realization across product adoption and usage.
• Drive decisions balancing cost, scalability, and business impact.
• Ensure measurable outcomes for product adoption, capability utilization, and business value delivered.
• Define and evolve core Studio capabilities (data ingestion frameworks, pipeline orchestration, data processing and transformation layers, AI/ML development and operationalization).
• Ensure capabilities are modular, extensible, reusable across multiple products, and aligned with enterprise platform and architecture standards.
• Drive end‑to‑end execution across Studio capabilities and product teams, establishing a strong execution discipline with sprint and release management, roadmap tracking, and milestone governance.
• Partner closely with engineering leadership to deliver robust, scalable capabilities and align with enterprise platform teams, underlying cloud and data platform ecosystems.
• Drive adoption of shared services, standardized patterns, and reusable platform capabilities.
• Define how the Studio is consumed and adopted across the organization, establishing clear patterns for onboarding, capability reuse, and avoidance of redundant development.
• Lead and develop a team of product managers and architects responsible for Studio sub‑capabilities, defining clear ownership across capability domains and delivery outcomes.
• Build a high‑performing organization focused on accountability, execution discipline, and scalable product thinking.
• Engage with product leaders and stakeholders to align on capability needs and priorities and ensure the Studio roadmap reflects enterprise demand.
• Act as the single point of accountability for Studio product direction.
• Deliver a scalable, well‑defined Data & AI Studio capability powering multiple products, strong adoption across product teams, reduced duplication, and measurable business impact through effective P&L management.

Experience & Profile

Required Qualifications

• 10+ years of experience in product management, including leadership across complex, platform‑based products.
• Proven experience owning end‑to‑end product portfolios with P&L accountability.
• Strong understanding of data pipelines and processing, AI/ML development lifecycle, and platform‑based product architectures.
• Demonstrated ability to lead multi‑disciplinary teams (product + architecture).

Technology Exposure

• Databricks
• Matillion, DBT or similar
• Collibra or similar
• Dataiku, SageMaker or similar
• Agentic AI awareness

Preferred Qualifications

• Experience building or managing enterprise data or AI platforms.
• Experience driving platform adoption across multiple product teams.
• Experience within global delivery models (US and India).

Leadership Characteristics

• Strong operator focused on execution, scale, and measurable outcomes.
• Product leader who understands platforms as enabling ecosystems.
• Ability to manage complexity across multiple products, capabilities, and stakeholders.
• High accountability mindset with ownership of outcomes, value, and delivery.

Required Skills

Business Intelligence, Business Management, Database Administration, Data Engineering, Data Management, Data Modeling, Data Pipelines, Data Visualization, Delivering Value, Design Applications, Enterprise Architecture, 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

Current employees and contingent workers may apply. Specific skill preferences are not listed beyond those above.

Employment Details

• Employee Status: Regular
• Shifts: Hybrid
• Travel Requirements: None specified
• Relocation: None specified
• Visa Sponsorship: None specified

EEO Statement

The company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or any other protected status.