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Senior Data Product Manager; Data Asset

Job in 6300, Zug, Kanton Zug, Switzerland
Listing for: Johnson & Johnson
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Security
Salary/Wage Range or Industry Benchmark: 100000 - 125000 CHF Yearly CHF 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Senior Data Product Manager (Data Asset)

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 Med Tech, 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

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Job Description:

Johnson & Johnson is recruiting a Senior Data Product Manager as part of our Data Strategy and Operations team.

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.

As part of our growing IMSC Data Strategy and operations team, you will be responsible for defining, building, and managing data products, acting as a bridge between data teams and other stakeholders. These Data Products are in line with our overall IMSC Data strategy aimed at simplifying the existing data landscape, building foundational data capabilities, and driving value for business. You will ensure that these programs follow product management standards, fully governed and result in success indriving business value through data capabilities that support analytics, decision-making, and operational efficiency.

You will collaborate closely with business stakeholders, data engineers, business process owners, and digital product teams to ensure the programs are designed with business value at their core, are accurately documented, and meet the highest standards. You will also work with executive leaders to shape and transform the overall journey.

Key Responsibilities:
  • Lead end-to-end modernization programs such as Data acceleration program, Data Observability, and driving remediation and decommissioning of legacy systems within the IMSC data and technology ecosystem.

  • Develop and execute integrated program plans with clear milestones, interdependencies, risk management, and performance tracking.

  • Oversee Sustain activities to ensure smooth transitions from project to base business operations with minimal business disruption.

  • Advance the strategic vision and adoption of modern data platforms and assets in alignment with IMSC objectives.

  • Establish governance standards and executive reporting
    , ensuring transparency, accountability, and consistent delivery across initiatives.

  • Partner cross-functionally with IT, Data Governance, and Business stakeholders to ensure seamless integration, communication, and delivery of program outcomes.

Qualifications - External

Education:
  • A bachelor’s or higher degree is required

  • Focused degree in Supply Chain, Data Analytics, or related field is preferred

Experience and Skills:

Required:
  • Minimum 6–7 years of progressive experience inprogram or project management, with demonstrated success in leading large-scale data and technology transformation initiatives.

  • Strongproduct ownership and roadmap management capabilities, including backlog management, user story mapping, and release governance, ensuring alignment between business outcomes and technical delivery.

  • Proven expertise in Agile, Scrum, and scaled agile delivery models, with the ability to foster collaboration and accountability across cross functional teams.

  • Demonstrateddepth in data management principles, including data governance, data quality, and metadata management, along with deep familiarity with master and reference data practices.

  • Experience integrating data products across multiple supply chain systems and platforms, ensuring consistent data quality and interoperability.

  • Strong understanding ofend-to-end supply chain processes, operational dependencies, and data requirements.

  • Proven record of managingdata asset lifecycle management initiatives to enable consistent governance and adoption

  • Ability to balancestrategic thinking with hands-on delivery management, ensuring…

Position Requirements
10+ Years work experience
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