Senior R&D Product Portfolio Intelligence Specialist (Acute Care and Monitoring)

About the role

We are seeking a Senior R&D Product Portfolio Intelligence Specialist to serve as a strategic analytics partner. This is a senior individual contributor role focused on decision enablement, not report production.

Responsibilities

• Enterprise Data Integration & Systems Thinking
  • Integrate data across disconnected enterprise systems (R&D, PMO, Quality, SAP, inventory, forecasting, and sales data) to create a unified view of product and portfolio performance.
  • Partner with owners of planning and portfolio tools (e.g., Meisterplan) to translate outputs into leadership-ready insights.
  • Proactively identify data gaps and anticipate future information needs, not just current reporting requirements.
• Decision-Focused Analytics
  • Deliver analytics that inform LT / ELT-level decisions, not static dashboards.
  • Connect R&D execution to downstream business impact, including:
    • Program and milestone progress
    • Risk, delays, and resource constraints
    • Inventory, end-of-life, and commercialization timing
    • Forecast vs. actual sales implications linked back to R&D delivery
  • R&D, Portfolio & Product Context
    • Support analytics tied to new product development, portfolio health, and R&D execution, rather than finance or sales ops reporting.
    • Partner closely with R&D, PMO, Design Quality, Regulatory, Manufacturing, and Operations to understand context and constraints.
    • Translate ambiguous leadership questions into structured analytical approaches.
  • Automation, Alerting & Scalable Insights
    • Build and enhance automated dashboards, alerts, and trigger-based notifications to surface material risks or opportunities.
    • Reduce ad-hoc analysis through repeatable, trusted insight delivery.
  • Stakeholder Partnership & Communication
    • Engage directly with Directors, Senior Directors, and Principal-level stakeholders.
    • Present insights clearly and concisely, adjusting depth for technical vs. executive audiences.
    • Act as a thought partner, not a passive report generator.

  Qualifications

  • Bachelor’s degree in Engineering, Data Science, Computer Science, Statistics, or a related technical field.
  • 5+ years of experience delivering advanced analytics in R&D, engineering, manufacturing, operations, or product-based environments.
  • Strong proficiency in Power BI, including data modeling and DAX.