Senior Director of Product Management.

Bangalore/Hyderabad/Pune (Hybrid).

12+ years Experience; Preferably with significant exposure to enterprise data platforms, cloud infrastructure, or AI/ML tooling.

What You'll Do:

This is a senior product leadership role responsible for defining and driving the strategy, roadmap, and execution for critical AI & Data Platform capabilities from India.

You will operate with high autonomy as the senior product voice in-region, partnering closely with global engineering and product leaders.

Key impact areas include:

- Own and execute the product vision and roadmap across Fabric, AI & Data Governance, and Capacity & Cost Intelligence.

- Drive deep customer and market discovery to identify high-value problems and translate them into scalable platform capabilities.

- Define clear product requirements (PRDs, user stories, success metrics) that enable engineering teams to deliver with speed and precision.

- Lead cross-functional alignment across Engineering, Architecture, Go-to-Market, and Customer Success.

- Act as the primary product leader representing India within a globally distributed organization.

- Elevate product management excellence by mentoring and coaching PMs across the India team.

What Makes You a Qualified Candidate:

- 12+ years of product management experience, including significant exposure to enterprise data platforms, cloud infrastructure, or AI/ML tooling.

- Proven track record of owning complex product portfolios end-to-end - from strategy through execution and iteration.

- Strong technical depth in modern data architectures (data lakes, warehouses, lakehouses, streaming, hybrid/multi-cloud).

- Demonstrated ability to influence senior stakeholders and drive alignment in global, matrixed organizations.

- Experience mentoring or coaching product managers and elevating team-wide product management capability.

What You'll Bring:

- Expertise in data governance, FinOps, or platform instrumentation and analytics.

- Familiarity with tools and ecosystems such as Collibra, Alation, Apache Atlas, or cloud cost management frameworks.

- Knowledge of open data formats (e.g., Iceberg, Delta, Hudi) and cloud-native analytics services.

- Strong understanding of enterprise SaaS/PaaS business models, including consumption-based pricing.

- Exposure to AI/ML platform components such as MLOps, feature stores, or LLM infrastructure.

- Experience operating within large-scale engineering centers in India.

- Advanced degree in Computer Science, Engineering, or related discipline (MBA preferred)