Senior Manager, HR Data Ecosystem TPO

Position Summary

The Senior Manager will lead integrated planning and delivery across the HR2030 Data Intelligence substreams, including Medallion, Governance, Data Quality, Data Products, Knowledge Management, and Insights. This role translates program strategy into executable plans, manages cross-stream dependencies and risks, reinforces enterprise architecture and data standards, and coordinates business, technology, and partner teams across India and the United States. The successful candidate will combine program leadership, technical credibility, stakeholder influence, and disciplined execution to deliver measurable outcomes.

Location

India - Mumbai, Bangalore, or Pune (On-site/Hybrid)

Reports to

IT Director, HR2030 Data Intelligence Program Leader

Department

Johnson Johnson Technology - Corporate Business Technology (CBT)

Job Function

Technology Product Platform Management

Job Sub Function

Technical Product Management

Job Category

People Leader

All Job Posting Locations

Bangalore, Karnataka, India; Kolkata, West Bengal, India; Mumbai, India; Pune, Maharashtra, India

Key Responsibilities

• Integrated program delivery: Convert the HR2030 Data Intelligence roadmap into an integrated delivery plan with clear milestones, outcomes, capacity assumptions, and decision points.
• Substream coordination: Lead planning and execution across Data Intelligence substreams and coordinate dependencies with AI Hiring, Digital Front Door, HR Technology, and enterprise Data Analytics teams.
• Risk and dependency management: Identify, sequence, and resolve cross-stream dependencies; proactively escalate risks, trade-offs, and decisions with recommended actions.
• Architecture and standards: Partner with architecture and engineering teams to ensure solutions use approved JJT data and analytics technologies, standard architecture, reusable patterns, and embedded security, governance, and data-quality controls.
• Business and partner alignment: Facilitate planning increments, working sessions, executive reviews, and decision forums that align global business and technology stakeholders.
• Vendor and delivery oversight: Coordinate integration partners and strategic vendors, monitoring commitments, quality, capacity, and adherence to architectural standards.
• Operating model leadership: Establish practical ways of working, governance routines, decision rights, status reporting, and escalation paths for a distributed India/US team.
• Measurement and communication: Define delivery KPIs, quality measures, adoption indicators, and feedback loops; use data-driven storytelling and Quarterly Business Reviews to demonstrate progress and value.
• People leadership: Coach technologists, analysts, and partner resources; promote accountability, collaboration, curiosity, and continuous learning.

Qualifications

• Bachelor s degree in Computer Science, Information Technology, Data Engineering, Analytics, Engineering, or a related field.
• 12+ years of experience in data and analytics, data engineering, technical product management, or program delivery, including 5+ years leading complex cross-functional initiatives or teams.
• Demonstrated success delivering enterprise data and analytics capabilities within standard architecture and governance frameworks.
• Data products: Demonstrated experience leading the end-to-end data product lifecycle, from business requirements and prioritization through design, delivery, governance, adoption, and continuous improvement, with measurable business outcomes.
• Working knowledge of modern data platforms and patterns, including lake house or Medallion architecture, data governance, data quality, and data product delivery.
• Strong planning, dependency management, risk management, and execution skills across multiple workstreams.
• Experience managing integration partners or strategic vendors and holding teams accountable for outcomes and quality.
• Ability to simplify complex technical topics for business leaders and influence decisions across functions and levels.
• Strong executive communication, consulting, facilitation, and change-leadership capabilities.
• Overlap with US working Hours

Preferred Skills

• Advanced Analytics
• Consulting
• Critical Thinking
• Data Analysis
• Data Governance
• Data Privacy Standards
• Data Quality
• Data Reporting
• Data Savvy
• Data Visualization
• Digital Fluency
• Road mapping
• Strategic Thinking
• Tactical Planning
• Technical Credibility
• Developing Others

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