Manager, Data Hub Product Operations & Business Analysis

Johnson & Johnson Johnson & Johnson · Pharma · Raritan, NJ +5

Manager, Data Hub Product Operations & Business Analysis role responsible for shaping and operationalizing demand for the Data Hub. This role translates GRA data priorities and stakeholder needs into clearly defined, prioritized, and execution-ready data product initiatives that drive regulatory and business outcomes. Operates across business, data, and technology teams, partnering closely with the Business Product Leader, Data Stewards and product capability owners to align demand with product strategy and delivery. Leads intake, strengthens requirements quality, and governs the backlog to ensure work is aligned to business value, regulatory priorities, and delivery feasibility. Provides visibility into demand trends and backlog health, surfacing decisions and risks to the Data Council to support effective governance and prioritization. This role is well-suited for individuals with Regulatory Affairs experience who are interested in applying their domain expertise to data, analytics and AI enablement, and digital product capabilities.

What you'd actually do

  1. Owning and improving the Data Hub intake model to ensure requests are structured, complete, and aligned with business needs
  2. Partnering with Technology Business Analysts to define intake standards and translate needs into requirements and user stories
  3. Triaging and refining requests with stakeholders by clarifying scope, objectives, and success criteria, and identifying opportunities to leverage data, automation, or AI-driven approaches
  4. Leading engagement with data teams for data-related requests by ensuring proper categorization, alignment, and shaping into Data Hub or analytics use cases
  5. Owning the Data Hub backlog and pipeline, including intake, and delivery readiness

Skills

Required

  • Bachelor's degree in Business, Life Sciences, or related field
  • Experience in Regulatory Affairs
  • Experience in data product operations
  • Experience in business analysis
  • Experience with data governance
  • Experience with backlog management
  • Experience with cross-functional coordination

Nice to have

  • Experience with AI-driven approaches
  • Experience with automation

What the JD emphasized

  • AI enablement