Senior Manager HR Data Ecosystem TPO

Johnson & Johnson Co.; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Johnson & Johnson is seeking a Senior Manager, HR Data Ecosystem to lead the HR2030 Data & Intelligence substreams across India and the US. You will translate strategy into executable plans, manage cross-functional teams, and ensure adherence to enterprise data standards and governance.

You will drive end-to-end data product delivery, coordinate with HR, IT, and analytics partners, and establish operating models that enable scalable, secure and measurable outcomes for global HR initiatives.

Qualifications

• Bachelor’s degree required in a STEM or analytics field.
• 12+ years of experience in data/analytics, with 5+ years leading complex cross-functional initiatives or teams.
• Proven ability to deliver enterprise data/analytics capabilities within standard architecture/governance frameworks.
• Experience leading end-to-end data product lifecycle with measurable outcomes.
• Working knowledge of modern data platforms, lakehouse/Medallion architecture, governance, quality, and data product delivery.
• Strong planning, dependency and risk management across multiple streams.
• Experience managing integration partners or vendors and holding teams accountable.
• Ability to simplify complex topics for executives and influence across functions.

Responsibilities

• Lead integrated planning and delivery across HR2030 Data & Intelligence substreams.
• Coordinate dependencies with AI Hiring, Digital Front Door, HR Tech, and enterprise Data & Analytics teams.
• Manage risks, dependencies, and decisions with recommended actions.
• Ensure solutions use approved JJT data/analytics tech and standard architecture with security and governance.
• Facilitate alignment between global business and technology stakeholders.
• Oversee vendor and delivery partners ensuring commitments and quality.
• Establish operating model, governance, reporting, and escalation for distributed teams.
• Define KPIs, quality metrics, adoption indicators, and use data storytelling to show progress.
• Coach technologists, analysts, and partners to promote accountability and growth.

Skills

Advanced Analytics

Data Governance

Data Visualization

Data Privacy Standards

Data Quality

Data Reporting

Data Savvy

Road Mapping

Strategic Thinking

Technical Credibility

Developing Others

Overlap with US working Hours

Education

Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Analytics, Engineering, or a related field

Job description

Job Description:

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

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

Job Description:

Senior Manager, HR Data Ecosystem TPO

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)

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.

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 escalated 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.

Preferred Skills: Analytical Reasoning, Consulting, Cost Management, Creating Purpose, Cross-Functional Collaboration, Developing Others, Human-Computer Interaction (HCI), Inclusive Leadership, Leadership, Performance Measurement, Product Development, Product Strategies, Project Management Methodology (PMM), Research and Development, Software Development Management, Strategic Supply Chain Management, Team Management