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Product Manager

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Hybrid

Product Manager

Broadridge

Product Manager

Skills

Product StrategyProduct ManagementData ScienceData AnalysisMachine LearningAIProduct ManagerChange ManagementComplianceDigital Transformation

3 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

7 August 2026

What they need


Senior Product Manager AI Transformation

We are looking for a Senior Product Manager AI Transformation to drive enterprise AI initiatives from business problem discovery to production-ready solutions. This role will work closely with business stakeholders, BUs, engineering, data, AI architecture, and governance teams to identify high-impact AI opportunities, define requirements, shape product roadmaps, and deliver measurable business outcomes.

Key Responsibilities

  • Partner with business stakeholders and cross-functional BUs to identify, prioritize, and scope AI transformation opportunities.
  • Translate business problems into clear product requirements, user stories, success metrics, and delivery roadmaps.
  • Work with AI architects, ML engineers, data teams, and platform teams to build scalable AI/ML, GenAI, LLM, RAG, and agentic AI solutions.
  • Own end-to-end product delivery from discovery, solution design, MVP definition, rollout, adoption, and value tracking.
  • Ensure AI solutions are aligned with enterprise governance, security, compliance, cost, and responsible AI standards.
  • Drive stakeholder communication, change management, user adoption, and executive reporting.

Required Experience

  • More than 8 years of experience in Product Management, AI/ML product delivery, digital transformation, or enterprise technology programs.
  • Proven experience building or delivering AI solutions in production, preferably involving GenAI, LLMs, RAG, automation, predictive analytics, or agentic workflows.
  • Strong experience working with senior business stakeholders to gather requirements and convert them into actionable AI product roadmaps.
  • Experience collaborating with engineering, data science, architecture, cloud, security, and governance teams.

Key Skills

  • AI/ML and GenAI product management
  • Business requirements gathering and stakeholder management
  • Product roadmap, prioritization, and delivery ownership
  • Understanding of LLMs, RAG, agents, data pipelines, APIs, and enterprise AI platforms
  • Strong communication, problem-solving, and executive presentation skills
  • Outcome-driven mindset with focus on adoption, ROI, scalability, and responsible AI governance

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