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Sr. Manager, Tech., Insights & Analytics

Job in Leeds, Jefferson County, Alabama, 35094, USA
Listing for: Johnson & Johnson
Full Time position
Listed on 2026-07-15
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Data Science Manager
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below

Sr. Manager, Tech., Insights & Analytics

Locations:
New Brunswick, New Jersey;
Raritan, New Jersey;
Raynham, Massachusetts;
West Chester, Pennsylvania;
Warsaw, Indiana;
Palm Beach Gardens, Florida;
Cork, Ireland;
Leeds, United Kingdom.

Scope of Role
  • Enterprise scope:
    Global Real Estate, Facilities Management, and Capital Project Delivery
  • Functional scope:
    Digital systems, data strategy, analytics, reporting, external insights
  • Geographic reach:
    Worldwide (Americas, EMEA, APAC)
  • Authority:
    Global standards for data, tools, dashboards, and insights; execution via matrixed partners
Key Responsibilities Data & Analytics Strategy
  • Define and own the end‑to‑end analytics and insights strategy for WW Business Operations & Project Delivery.
  • Establish a single source of truth across RE, FM, GS, and capital project data.
  • Ensure analytics directly support executive, portfolio, and investment decisions.
Digital Systems & Enablement
  • Own the digital tools and systems roadmap supporting portfolio analytics, project performance, and governance.
  • Partner with IT to enable system integration, automation, and data quality.
  • Drive simplification and standardization of tools and reporting across regions.
Portfolio Analytics & Insights
  • Deliver actionable insights on portfolio performance, capital efficiency, project risk, cost, and schedule.
  • Develop executive dashboards and forward‑looking analytics to support prioritization and trade‑offs.
  • Incorporate external benchmarks and market intelligence to inform strategic decisions.
People Leadership & Team Development
  • Lead, mentor, and develop a high‑performing team of analytics and insights professionals.
  • Establish best practices for analytics methodologies, insight generation, and knowledge sharing across the organization.
Performance Management & Governance Support
  • Enable performance tracking across capital projects and programs.
  • Support governance forums with clear, fact‑based insights.
  • Identify trends, risks, and systemic issues before they escalate, including data quality, reporting integrity, and governance gaps.
Stakeholder Partnership
  • Partner closely with:
    Strategic Project Management, Engineering Standards, Business Operations / Finance, Communications & Crisis Management.
  • Act as a trusted advisor to senior leaders on data‑driven decision‑making.
Qualifications Education
  • Bachelor’s degree required in Data Analytics, Computer Science, Engineering, Statistics, Business, or a related field.
  • Master’s degree (MBA, MS, or equivalent) preferred.
Experience and Skills
  • 8–10 years of progressive experience in analytics, business intelligence, data science, or related technical roles.
  • Demonstrated experience leading analytics or insights teams in a complex, matrixed organization.
  • Strong expertise in analytics platforms, data visualization tools, and data management concepts.
  • Proven ability to translate business needs into scalable analytics and technology solutions.
  • Experience influencing senior stakeholders through data‑driven insights and storytelling.
  • Strong strategic thinking, problem‑solving, and communication skills.
Preferred
  • Experience supporting commercial, medical device, or healthcare businesses.
  • Knowledge of advanced analytics, predictive modeling, automation, and emerging technologies.
  • Experience working with large, global data environments and cross‑regional teams.
  • Familiarity with data governance, privacy, and regulatory requirements in a regulated industry.
  • Prior experience driving digital or analytics transformation initiatives.
Other
  • Language:
    English required.
  • Travel:
    Up to 10%, primarily domestic.
  • Certifications:

    Analytics, data science, or technology certifications preferred but not required.
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