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Senior Data and AI Product Manager

Senior Data and AI Product Manager

Vinovaai Private Limited
12-18 Years
₹ 40.5 - 43 LPA
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Job Description

Role Overview

We are looking for an experienced Data & AI Product Manager to lead the strategy, roadmap, and delivery of enterprise data and AI products. The ideal candidate will have extensive experience driving end-to-end product ownership across Data Platforms, AI/ML solutions, Data Governance, and Cloud Data Modernization initiatives. The role requires close collaboration with business stakeholders, engineering teams, data scientists, architects, and executive leadership to deliver scalable, business-focused data products. 

Key Responsibilities

Product Strategy & Ownership

  • Define product vision, roadmap, and long-term strategy for Data & AI products.
  • Gather, analyze, and prioritize business requirements from stakeholders.
  • Own product backlog, feature prioritization, and release planning.
  • Drive product adoption, business value realization, and continuous improvement.

Data & AI Product Development

  • Lead the development of AI/ML, GenAI, and advanced analytics solutions.
  • Translate business problems into scalable data and AI product capabilities.
  • Work closely with Data Science, Engineering, and Architecture teams to deliver impactful solutions.
  • Establish KPI-driven product success metrics and outcome tracking.

Data Platform & Modernization

  • Drive enterprise data platform initiatives leveraging Lakehouse architectures.
  • Lead cloud migration and modernization projects across Azure, AWS, and GCP.
  • Define scalable data architecture, integration, metadata, and governance standards.
  • Partner with engineering teams to build reusable data products and platform capabilities.

Data Governance & Responsible AI

  • Define and implement data governance frameworks, data quality standards, and lineage processes.
  • Lead compliance initiatives involving GDPR, HIPAA, privacy, and regulatory requirements.
  • Establish Responsible AI practices including explainability, fairness, bias monitoring, and model governance.
  • Collaborate with governance teams utilizing tools such as Collibra, Informatica MDM, Alation, and Purview.

Stakeholder Management

  • Collaborate with executive leadership, business stakeholders, and clients to drive product vision.
  • Present product strategy, roadmap updates, and business cases to leadership teams.
  • Align cross-functional teams to ensure successful product delivery and adoption.

Team Leadership

  • Lead and mentor multidisciplinary teams comprising Product Managers, Data Scientists, Engineers, Architects, and Analysts.
  • Drive Agile delivery methodologies and continuous innovation.
  • Manage large-scale global delivery programs and stakeholder engagements.

Required Skills

Product Management

  • Product Strategy & Roadmap Management
  • Product Lifecycle Management
  • Product Backlog Prioritization
  • Agile / Scrum Delivery
  • Business Case Development
  • Stakeholder Management

Data & AI

  • Machine Learning
  • Predictive Analytics
  • Generative AI
  • Large Language Models (LLMs)
  • Agentic AI
  • RAG Frameworks
  • MLOps

Data Engineering & Platforms

  • Databricks
  • Snowflake
  • PySpark
  • SQL
  • Data Lake / Lakehouse Architecture
  • ETL / ELT
  • Azure Data Factory
  • Azure Synapse
  • dbt

Cloud Technologies

  • Microsoft Azure
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)

Governance & MDM

  • Collibra
  • Microsoft Purview
  • Informatica MDM
  • SAP MDG
  • Data Quality & Lineage
  • Data Privacy & Compliance

Visualization & Analytics

  • Power BI
  • Tableau
  • Customer 360 Analytics

Preferred Industry Experience

  • Banking & Financial Services (BFSI)
  • Insurance
  • Healthcare & Life Sciences
  • Retail & Consumer
  • Telecommunications

Education

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Science, or related field.
  • MBA or equivalent business qualification is a plus.
  • IIT/NIT or equivalent premier institute preferred. 

Ideal Candidate Profile

  • 15+ years of experience in Data, Analytics, AI/ML, and Product Management.
  • Proven experience owning enterprise data or AI product roadmaps.
  • Strong client-facing and consulting experience.
  • Experience leading global teams of 20+ members.
  • Strong blend of business acumen, technical depth, and leadership capability.
  • Demonstrated success delivering enterprise-scale Data & AI transformation programs.

Target Designation

Senior Data & AI Product Manager / Lead Data Product Manager / Director - Data & AI Produc

More Info

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Key Skills

Data Engineering & Platforms