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Senior Director of Product Management – AI & Data Platforms

Teradata · Hyderabad

Hybrid Senior 🇬🇧 English
Collibra Alation Apache Atlas Iceberg Hudi MLOps Feature Stores LLM Infrastructure

Job description

About the role

We are looking for a Senior Director of Product Management to lead the strategy, roadmap and execution of our AI & Data Platform capabilities across India. Reporting to global product leadership, you will act as the senior product voice for the region, working in a hybrid setting from Bangalore, Hyderabad or Pune.

Key responsibilities

  • Own and drive the product vision and roadmap for Fabric, AI & Data Governance, and Capacity & Cost Intelligence.
  • Conduct deep customer and market discovery to translate high‑value problems into scalable platform solutions.
  • Define clear product requirements (PRDs, user stories, success metrics) to enable rapid engineering delivery.
  • Lead cross‑functional alignment with Engineering, Architecture, Go‑to‑Market and Customer Success teams.
  • Represent India within a globally distributed organization and influence senior stakeholders.
  • Mentor and coach product managers across the India team to raise product management excellence.

Required profile

  • 12+ years of product management experience, with significant exposure to enterprise data platforms, cloud infrastructure or AI/ML tooling.
  • Proven end‑to‑end ownership of complex product portfolios, from strategy through execution.
  • Strong technical depth in modern data architectures such as data lakes, warehouses, lakehouses, streaming and hybrid/multi‑cloud environments.
  • Demonstrated ability to influence senior leaders in a global, matrixed organization.
  • Experience mentoring product managers and building high‑performing product teams.

Required skills

  • Data‑governance and FinOps expertise.
  • Familiarity with tools such as Collibra, Alation and Apache Atlas.
  • Knowledge of open data formats like Iceberg, Delta Lake and Hudi.
  • Understanding of cloud‑native analytics services and consumption‑based SaaS/PaaS business models.
  • Exposure to AI/ML platform components including MLOps, feature stores and LLM infrastructure.

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Published 3 months ago

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Teradata

Hyderabad