Manager Data Management Fair
Role details
Job location
Tech stack
Job description
The Enterprise Data Management (EDM) team, part of Supply Chain Excellence (SCE), is responsible for delivering trusted, governed, and accessible data services across Johnson & Johnson. We serve all segments and TO&R functions and collaborate closely with Technology, Compliance, Privacy, and Security to ensure data integrity and compliance.
Our 3-Year Strategy is to build a Reliable Data Chain of Trust, enabling:
- A unified central dataset supporting business operations and analytics.
- Transparent governance and metadata management for traceability and accountability.
- Secure, compliant, and high-quality data services aligned with business goals.
- A data-as-an-asset culture through digitization, automation, and AI-driven solutions., * Product Strategy & Execution
Define and execute the roadmap for FAIR capabilities (Data Catalog, Access, Communication, Consumption Layer).
Consolidate business requirements across segments and TO&R functions and collaborate with IT to translate them into actionable plans to define storage standards and optimize data storage for performance, cost, and compliance."
Engage stakeholders to drive adoption and ensure alignment with business needs.
Assist with the design, implementation, and ongoing management of data storage solutions within the CDL, ensuring scalability, reliability, and alignment with business requirements.
Governance, Data Quality & Compliance
Implement governance standards and ensure compliance with privacy and security policies.
Define and monitor data quality KPIs (accuracy, completeness, timeliness) and lead remediation efforts.
Ensure robust metadata management practices integrated into governance processes.
Requirements
Do you have experience in Data lake?, Do you have a Master's degree?, A minimum of a Bachelor's degree is required with a focus in Data Management, Information Systems, Computer Science, Business Administration, or related field preferred. Masters or Advanced degree preferred.
Required:
- A minimum of 6-8 years relevant work experience.
- Strong ability to define KPIs and track adoption and performance.
- Proven skills in stakeholder engagement and cross-functional collaboration.
- Familiarity with data lake environments and tools such as Databricks and Alation.
- Knowledge of data governance, data quality frameworks, and privacy/security standards.
Preferred:
- Technical background to understand CDL architecture and FAIR principles.
