Senior Manager, HR Data Ecosystem

Johnson & Johnson

. Convert the HR2030 Data & Intelligence roadmap into an integrated delivery plan with milestones, outcomes, capacity assumptions, and decision points .

Posted 10/26/2026full-timeMumbai • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading complex data and analytics initiatives, ensuring alignment with governance frameworks and architectural standards. Proficient in managing cross-functional teams and integration partners while delivering measurable outcomes through effective planning and execution.

Highest-signal resume keywords

Data EngineeringTechnical Product ManagementCross-Functional LeadershipData GovernanceExecutive Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsProgram DeliveryData Product LifecycleRisk ManagementDependency ManagementData QualityLake House ArchitectureMedallion ArchitectureKPI DefinitionData-Driven Storytelling

Soft Skills

Change LeadershipFacilitationConsultingInfluencing DecisionsCoaching

Tools & Technologies

Data PlatformsAnalytics TechnologiesGovernance FrameworksIntegration ToolsBusiness Review Tools

Industry Keywords

Data & IntelligenceHR TechnologyEnterprise DataStrategic VendorsQuality Measures

About the role

Key responsibilities & impact

Convert the HR2030 Data & Intelligence roadmap into an integrated delivery plan with milestones, outcomes, capacity assumptions, and decision points
Lead planning and execution across Data & Intelligence substreams
Coordinate dependencies with AI Hiring, Digital Front Door, HR Technology, and enterprise Data & Analytics teams
Identify, sequence, and resolve cross-stream dependencies; escalate risks, trade-offs, and decisions
Ensure solutions use approved data and analytics technologies, standard architecture, reusable patterns, and embedded security, governance, and data-quality controls
Facilitate planning increments, working sessions, executive reviews, and decision forums
Coordinate integration partners and strategic vendors, monitoring commitments, quality, capacity, and architectural standards
Establish governance routines, decision rights, status reporting, and escalation paths for a distributed India/US team
Define delivery KPIs, quality measures, adoption indicators, and feedback loops
Use data-driven storytelling and Quarterly Business Reviews to demonstrate progress and value
Coach technologists, analysts, and partner resources

Requirements

What you’ll need

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
5+ years leading complex cross-functional initiatives or teams
Experience delivering enterprise data and analytics capabilities within standard architecture and governance frameworks
Experience leading the end-to-end data product lifecycle
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
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
Availability for overlap with US working hours

Benefits

Comp & perks

Inclusive work environment
Respect for diversity and dignity of employees
Merit recognition
Continuous learning opportunities