Manager Data Management Fair

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 https://www.jnj.com

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Governance & Policy

Job Category:

People Leader

All Job Posting Locations:

Berlin, Germany, Brussels, Brussels-Capital Region, Belgium, Issy-les-Moulineaux, France, Madrid, Spain, Zug, Switzerland

Job Description:

Johnson & Johnson is currently recruiting for Manager Data Management Fair! This position can be located in New Brunswick, NJ, Raynham, MA or select EMEA regions.

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

North America- Requisition #R-044557

EMEA-Requisition

Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.

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.

Role Overview:

The Data Product Manager – FAIR Capabilities will lead the adoption and governance of key capabilities within the Common Data Layer (CDL), guided by the FAIR principles (Findable, Accessible, Interoperable, Reusable). This role ensures that data products deliver measurable business value while maintaining compliance and governance standards across a federated model.

Key Responsibilities:

•  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.

Qualifications:

Education:

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 a