Senior Data Product Manager: AI-Driven Data Solutions

Biopharma Careers

Norwood (KY)

On-site

USD 122,000 - 195,000

Full time

14 days+

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Benefits offered by this job

Healthcare benefits
Well-being resources
Family planning benefits
Generous paid time off
Savings and investments

Job summary

Moderna is seeking a Senior Data Product Manager to own the prioritization, definition, and delivery of data products and AI use cases across its CMC organization. You will translate operational challenges into governed data products with clear ownership, measurable value, and a path to adoption.

You will collaborate with domain SMEs and engineers to ensure data products are production-ready, compliant with GxP, and integrated into workflows, enabling scalable AI-enabled solutions across Quality

Qualifications

  • Bachelor’s or Master’s degree in Engineering, Computer Science, Life Sciences, Data Science, or a related field
  • 4+ years of experience in pharmaceutical, biotech, or other regulated industries, with exposure to CMC domains
  • 6+ years of experience defining and delivering data, analytics, reporting, or digital solutions used in production workflows
  • Familiarity with modern data concepts including data modeling, data quality, and cloud-based data platforms
  • Strong understanding of pharmaceutical systems and relevant data domains (e.g., Veeva, SAP, MES, LIMS)
  • Proven ability to translate business needs into clear, structured requirements that engineering teams can build from without extended clarification cycles
  • Demonstrated ability to produce written specifications, use case definitions, or data product briefs that serve as the primary handoff to builders
  • Experience working across business and technical stakeholders, with the ability to drive alignment and communicate tradeoffs
  • Experience with data governance principles including data ownership, classification, access control, and quality standards as applied to enterprise data products
  • Understanding of GxP, data integrity, and compliance considerations for data, analytics, and AI solutions

Responsibilities

  • Own the prioritization and sequencing of data products and AI use cases, grounded in measurable business value
  • Define data products end-to-end, from use case to production, including consumers, SLAs, and acceptance criteria
  • Ensure each data product has defined ownership, classification, access, and lineage, aligned with the organization’s data governance framework
  • Ensure data products are production-ready and operationally viable, not just analytically correct
  • Define data quality, validation, and traceability requirements to ensure products are trusted and compliant in a GxP environment
  • Drive adoption within operational workflows by measuring usage, gathering feedback, and iterating to ensure sustained value
  • Apply an AI-first mindset, identifying opportunities to augment workflows and defining the data required to enable them
  • Maintain a living product backlog with each item traceable to a business outcome and a data readiness state
  • Partner with engineering teams to ensure appropriate testing, monitoring, and lifecycle management of delivered products
  • Coordinate across data engineering, platform, analytics, and business teams to manage dependencies and communicate tradeoffs clearly

Skills

Data concepts
Data modeling
Data quality
Cloud platforms
Stakeholder alignment
Written specifications

Education

Bachelor/Master in Engineering/C.S./ Life Sciences/ Data Science

Tools

Veeva
SAP
MES
LIMS

Job description

Moderna is seeking a Senior Data Product Manager to own the prioritization, definition, and delivery of data products and AI use cases across its CMC organization. You will translate operational challenges into governed data products with clear ownership, measurable value, and a path to adoption.

You will collaborate with domain SMEs and engineers to ensure data products are production-ready, compliant with GxP, and integrated into workflows, enabling scalable AI-enabled solutions across Quality

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