Sr Mgr Data Management

Johnson & Johnson Innovation; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Johnson & Johnson Innovation seeks a Senior Manager, Data Management to lead enterprise data strategy, governance, and the delivery of AI-ready data products across the organization.

You will guide managers and senior contributors, defining roadmaps, standards, and best practices to improve customer experience, reduce costs, and drive measurable business impact.

Qualifications

• Master’s degree or equivalent and 10+ years of data management/engineering experience.
• Experience defining enterprise data strategies and governance in large-scale environments.
• Strong knowledge of modern data architecture, ETL/ELT, and data product life cycles.

Responsibilities

• Define and lead multi-quarter data management roadmap, operating model, and delivery standards for trusted, AI-ready data products.
• Own lifecycle of enterprise data products across priority domains including requirements, rules, modeling, documentation, refresh, change control, adoption, and value realization.
• Guide scalable data ingestion, transformation, and semantic modeling across Databricks, Microsoft Fabric, cloud storage, and related platforms.
• Build data foundations for GenAI, conversational analytics, vector search, knowledge graphs, and agentic use cases with secure, traceable data.

Skills

Advanced Analytics

Budget Management

Compliance Management

Critical Thinking

Cross-Functional Collaboration

Data Analysis

Data Privacy Standards

Data Quality

Data Reporting

Data Savvy

Data Science

Data Visualization

Developing Others

Digital Fluency

Inclusive Leadership

Leadership

Strategic Thinking

Team Management

Education

Master’s degree in Computer Science, Information Systems, Data Engineering, Analytics, AI, or related field

Tools

Databricks

Microsoft Fabric

Azure AI Search

Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions 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:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Bangalore, Karnataka, India

Job Description:

The Senior Manager, Data Management provides strategic leadership in shaping Procurement technology, data, and analytics strategies that improve customer experience, reduce cost to serve, and increase the efficiency and effectiveness of enterprise solutions. This role sets the vision for data product strategy and governance while leading managers and senior individual contributors to deliver measurable business impact.

Key Responsibilities

• Enterprise data strategy: Define and lead the multi-quarter data management roadmap, operating model, and delivery standards that enable trusted, reusable, governed, and AI-ready data products.
• Data product leadership: Own the lifecycle of enterprise data products across priority domains, including requirements, business rules, modeling, documentation, refresh cadence, change control, adoption, and value realization.
• Modern data architecture: Guide scalable ingestion, transformation, semantic-ready modeling, orchestration, and platform patterns across modern data platforms such as Databricks, Microsoft Fabric, cloud storage, and related enterprise technologies.
• AI readiness: Build the data foundation required for advanced analytics, GenAI, conversational analytics, vector search, knowledge graphs, and agentic use cases by ensuring data is curated, traceable, accessible, secure, and fit for purpose.
• Governance and stewardship: Establish governance practices for metadata, lineage, cataloging, data quality, access controls, privacy, security, responsible AI controls, ownership, and stewardship across critical data assets.
• Production operations: Define and manage service levels for data products and pipelines, including monitoring, observability, incident response, root-cause analysis, release governance, performance management, and continuous improvement.
• Stakeholder partnership: Translate business priorities into durable data capabilities by partnering with analytics, technology, process, security, privacy, governance, and business leaders to align roadmaps, resolve tradeoffs, and deliver measurable outcomes.
• People and capability leadership: Lead managers, senior individual contributors, and cross-functional delivery partners while building talent, raising technical standards, strengthening AI/data fluency, and creating a high-performing data management culture.

Qualifications

• Master’s degree in Computer Science, Information Systems, Data Engineering, Analytics, AI, or a related field; equivalent experience may be considered.
• 10+ years of progressive experience in data management, data engineering, enterprise data platforms, AI-ready data products, or advanced analytics enablement, including team leadership or complex cross-functional initiative ownership.
• Demonstrated ability to define and execute enterprise data management strategies, operating models, roadmaps, and delivery standards that enable scalable, governed, reusable, AI-ready data products.
• Strong understanding of modern data architecture, data modeling, ETL/ELT, orchestration, SQL, cloud storage and compute, semantic layers, vector search, knowledge graphs, and platforms such as Databricks, Microsoft Fabric, Azure AI Search, or comparable enterprise data platforms.
• Proven experience implementing data governance, data quality, metadata management, lineage, observability, access controls, stewardship, privacy, security, and responsible AI controls in a regulated or enterprise-scale environment.
• Experience managing production data products and AI-enabling assets with defined service levels, including monitoring, incident response, release governance, performance management, documentation, adoption, validation, and continuous improvement.
• Ability to translate business priorities into durable data and AI capabilities while partnering with analytics, technology, process, security, privacy, governance, and business stakeholders; strong executive communication skills required.

Preferred Skills

• Experience applying DataOps and MLOps practices, including version control, automated testing, release automation, model/data monitoring, and controlled promotion across environments.
• Exposure to agentic AI, retrieval-augmented generation, prompt engineering, vector databases, or AI workflow orchestration to improve data stewardship, metadata enrichment, and insight discovery.
• Ability to evaluate emerging data and AI technologies, shape proofs of concept, define success criteria, and convert promising capabilities into scalable enterprise practices.

Required Skills:

Preferred Skills:

• Advanced Analytics
• Budget Management
• Compliance Management
• Critical Thinking
• Cross-Functional Collaboration
• Data Analysis
• Data Privacy Standards
• Data Quality
• Data Reporting
• Data Savvy
• Data Science
• Data Visualization
• Developing Others
• Digital Fluency
• Inclusive Leadership
• Leadership
• Strategic Thinking
• Team Management