07 ago - Latina
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At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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 Governance & Policy
Job Category
People Leader
All Job Posting Locations
Beerse, Antwerp, Belgium, Latina, Italy, Leiden, South Holland, Netherlands, Ringaskiddy, Cork, Ireland, Zug, Switzerland
Job Description
Role Summary
This role combines hands‑on data product ownership with people leadership. You will directly own and lead the product team for a set of functional data products end‑to‑end (strategy, delivery, lifecycle and value realization) while also managing, coaching, and developing other Data Product Owners in the MTO (MAKE) function responsible for other products in the functional portfolio.
You will work cross‑functionally with data engineers, data analysts, data governance, IT/architecture, and business subject matter experts to deliver trusted, compliant, and business‑value driven data capabilities. You will ensure lifecycle decisions are driven by measurable value, data quality, and governance standards, and you will uplift the capability of other product owners through coaching, prioritization support, and process alignment.
Key Responsibilities
Data Product Ownership
define product vision, roadmap, and value hypotheses
prioritize features, enhancements, and remediations based on business impact and ROI
Collaborate with cross‑functional teams (data engineers, analysts, governance, business SMEs, QA, architects) to deliver capabilities and releases
Define and maintain domain data models, metadata, data definitions, and business glossaries for owned products
Establish and monitor product KPIs and SLAs (data quality, latency, availability, usage/adoption)
Implement and enforce data quality controls and remediation workflows; lead root cause investigation and resolution for data issues
Ensure solutions adhere to architectural standards, security, privacy, and regulatory (including GxP if applicable) requirements
Manage migrations or re‑pointing of legacy functional data to target architectures as needed
Maintain product documentation, onboarding materials,
and user support processes
People Leadership & Management
Lead, mentor, and develop a team of junior Data Product Owners (2–5 direct reports)
Provide coaching on product management practices, data governance, stakeholder engagement, and lifecycle decisioning
Drive consistent application of governance, standards, and operating model across the functional portfolio
Help junior owners prioritize backlog items, balance technical debt vs. new value, and measure outcomes
Facilitate cross‑team alignment and escalare/ prior… (excerpt)
Support capacity planning, role definition, and recruitment for the functional data product team
Represent the functional data product group in governance forums, working groups, and leadership reviews
Outcomes & Success Measures
Measurable improvement in data product KPIs (data quality, completeness, timeliness)
Increased business adoption and demonstrable value from owned data products
Timely delivery of roadmap items and remediation with clear ROI
High performing, growing team of junior product owners showing consistent application of governance and lifecycle practices
Reduced recurring data incidents and faster incident‑to‑resolution times
Clear, consistent domain metadata and definitions used across functional teams
Qualifications
Required
Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Analytics, Supply Chain Technology, or related field
Proven product ownership experience or experience owning data domains end‑to‑end in a large, federated organization
Demonstrated experience managing and coaching at least 1–3 direct reports
Strong knowledge of data governance, data lifecycle management, data modelling, and metadata management
Familiarity with cloud data platforms (preferred: Azure) and modern data engineering concepts
Experience defining and tracking data SLAs, KPIs, and operating metrics
Solid business acumen and ability to translate business needs into data product requirements
Excellent stakeholder management, communication, and facilitation skills
Experience working with cross‑functional data teams (engineers, analysts, governance, architects)
Professional proficiency in English, both written and spoken, is required.
Preferred
Master’s in Computer Science, Information Systems, Engineering, Business Analytics, Supply Chain Technology, or related field
Hands‑on experience with data governance tools, data catalogues, metadata management, or DQ tooling
Programming or technical experience (SQL, Python, or similar) and advanced database knowledge
Experience working in Supply Chain especially in the manufacturing function
Experience in regulated environments (GxP, privacy, security) and supporting compliance needs
Prior experience running lifecycle migrations or legacy data re‑pointing projects
Certifications in product management, data management, or cloud technologies
Competencies & Behaviors
Strategic thinker with operational rigor — able to convert governance and strategy into execution
Ownership mindset and measurable focus on outcomes and value delivery
Strong collaborator and influencer across business and IT
Proactive, resilient, and able to manage competing priorities
Able to coach others, build capability, and lead by example
Commitment to diversity and inclusion principles
Working Environment
Hybrid working model: remote with periodic onsite collaboration with business and engineering teams required
Up to 10% travel depending on business needs
Required Skills
Preferred Skills
Advanced Analytics, Database Management, Data Governance, Data Management, Data Privacy Standards, Data Savvy, Data Security, Developing Others, Efficiency Analysis, Emerging Technologies, Inclusive Leadership, Information Security Risk Management, Leadership, Performance Measurement, Stakeholder Engagement, Strategic Thinking, Team Management
Anticipated Pay Range
The anticipated pay range for this position, in the primary posting location, is:
The anticipated pay ranges for additional locations are:
Ireland - The anticipated base pay range for this position is 85,000.00 - 146,050.00
Italy - The anticipated base pay range for this position is 70,700.00 - 122,015.00
Switzerland - The anticipated base pay range for this position is 136,000.00 - 234,830.00
Netherlands - The anticipated base pay range for this position is 82,900.00 - 144,210.00
Benefits
In addition to base pay, we offer the following benefits*: an annual premio with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well‑being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well‑being & career growth | Johnson & Johnson Careers.
This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.
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