Back
Tier-1 brand, Bangalore metro, and visible Product Manager title increase applicant density despite niche Data/AI focus.
Product and data skills are transferable, but HR/Legal domain knowledge and enterprise data governance increase fit sensitivity.
Explicit 8+ years, required AI/data product experience, and technical hands-on skills make shortlisting stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the product strategy and roadmap for data and AI products in HR and Legal corporate functions, focusing on workforce planning, talent strategy, compliance, and risk management.
Translate stakeholder needs into AI-enabled data products that improve insight, automate reporting, and support strategic decision-making.
Lead end-to-end delivery including problem framing, data feasibility, AI/ML model deployment, and cross-functional collaboration with engineering, data science, and platform teams.
8+ years of product management experience, including at least 2-3 years on data platforms, analytics, or AI/ML products (3+ years as Data Analyst relevant if from analytics background).
Bachelor's degree preferred in Statistics, Data Science, Engineering, Economics, Business, or related field.
Strong technical fluency with enterprise data platforms, semantic/data modeling, ETL/ELT pipelines, APIs, AI/ML lifecycle, and SQL.
Experience shipping AI/ML-powered products and solid knowledge of data governance principles (lineage, provenance, auditability, domain ownership).
Experienced in bridging business strategy and technical product delivery in data-driven environments, particularly for HR and Legal domains.
Capable of managing complex cross-functional stakeholder relationships and simplifying complex technical and business concepts.
Demonstrates rigorous approach to product ROI, governance, data quality, and compliance in enterprise-scale analytics products.