Director - Process Data Enablement Product Owner

Merck Merck · Pharma · PA

Director, Process Data Enablement Product Owner at Merck, responsible for defining capabilities, developing roadmaps, and driving delivery for process data and analytics products. Leads a team of product analysts and data engineers to deliver governed data products for manufacturing science and technology customers. Partners with various stakeholders to translate data needs into scalable solutions, ensuring compliance with regulatory requirements.

What you'd actually do

  1. Define and communicate the product vision and roadmap for process data enablement, ensuring alignment with business goals and user needs, particularly in support of process transfer and product launch activities.
  2. Lead, mentor, and develop a team of product analysts and data engineers, fostering a culture of innovation, collaboration, and excellence.
  3. Oversee the entire product lifecycle from conception to sustainment, including gathering and prioritizing product and customer requirements to support the product pipeline.
  4. Collaborate extensively with senior Science & Technology (S&T) stakeholders across all modalities (biologics, small molecule, vaccines) to ensure the successful delivery of data products and analytics solutions that meet their evolving needs.
  5. Drive the execution of data acquisition, data quality, and data governance to ensure the reliability and integrity of our data assets.

Skills

Required

  • Agile Methodology
  • Agile Methodology
  • Agile Transformation
  • Backlog Management
  • Business Case Development
  • Business Process Analysis
  • Commercialization
  • Computer Science
  • Data Analytics
  • Data Engineering
  • Data Governance
  • Data Quality
  • Digital Transformation Initiatives
  • Incident Management
  • ITIL Service Delivery
  • IT Infrastructure Management
  • Manufacturing Processes
  • Microsoft Power Business Intelligence (BI)
  • Objectives and Key Results (OKRs)
  • Process Leadership
  • Product Backlog Management
  • Regulatory Requirements
  • Roadmapping
  • Scientific Software Development
  • Software Development Life Cycle (SDLC)

Nice to have

  • Detailed Knowledge of Small Molecule API manufacturing processes
  • Experience with agile methodologies and a digital and innovative mindset.
  • Familiarity with advanced analytics, machine learning, and AI applications in a manufacturing context.
  • Experience with data visualization tools such as OSI PI, Power BI, or Seeq.
  • Background in manufacturing or process analytics (PPA/PPM), including cross site or ‑franchise level‑ analysis and GMP/GxP considerations.
  • Experience with agile methodologies and a digital and innovative mindset

What the JD emphasized

  • GMP/GxP
  • regulatory requirements