Senior Director, Product Management

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

Success in this role will look like:

Delivery of high-impact platform capabilities aligned to customer needs and business outcomes

Strong alignment across global stakeholders and effective execution across time zones

Measurable improvements in product adoption, platform usage, and customer trust

Elevated PM capability and consistent high-quality product artifacts across the India team

In addition, this role offers:

The opportunity to shape one of the most strategic AI & Data Platforms in the enterprise market High visibility and direct impact on Teradata’s global product strategy and growth The ability to define and elevate product management excellence in India A collaborative, inclusive, and globally connected leadership environment Competitive compensation including salary, bonus, and equity participation Ongoing investment in your professional development and leadership growth

The opportunity to shape one of the most strategic AI & Data Platforms in the enterprise market

High visibility and direct impact on Teradata’s global product strategy and growth

The ability to define and elevate product management excellence in India

A collaborative, inclusive, and globally connected leadership environment

Competitive compensation including salary, bonus, and equity participation

Ongoing investment in your professional development and leadership growth

A globally distributed Product and Engineering organization spanning India and the US

Engineering leaders, architects, and platform teams building Teradata’s AI & Data Platform

Cross-functional stakeholders across Go-to-Market, Pricing, and Customer Success

A growing community of Product Managers in India (direct and indirect influence)

You will act as a senior product leader in India, working in close partnership with US-based leadership while shaping local product culture and execution standards.

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

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)

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