Data Product Manager, CMC Digital

The Role:

The Data Product Manager will own the prioritization, definition, and delivery of data products and AI use cases across Moderna's CMC organization. This role operates at the intersection of business process knowledge, data strategy, and applied AI, translating operational challenges across Quality Assurance, Quality Control, Manufacturing, and Supply Chain into governed, reusable data products that compound in value over time.

This role owns the "what" and "why," bridging business and technical teams, translating operational needs into clear data product definitions, and ensuring governance and compliance requirements are built in from the start rather than retrofitted later. This role will work closely with domain SMEs and engineers to ensure every data product has clear ownership, defined consumers, measurable value, and a path to sustained adoption. The specifications, use case definitions, and product logic produced in this role form a shared foundation for how the organization understands its operations, enabling consistent delivery, reuse across use cases, and scalable data and AI solutions over time.

Here’s What You’ll Do:

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

Here’s What You’ll Need (Minimum 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

Here’s What You’ll Bring to the Table (Preferred Qualifications)

Direct experience with Veeva Quality, LabVantage, Syncade, or similar MES and LIMS platforms and their data structures

Exposure to dbt, Redshift, Snowflake, or similar transformation and warehouse tooling

Experience with medallion data architecture patterns

Experience with GitHub-based workflows, docs-as-code practices, or version-controlled specification management

Track record of driving adoption of data products beyond initial delivery into sustained operational use

Experience participating in or contributing to a data governance program, including defining data standards, stewarding data products, or working with governance bodies across business and digital

Curiosity about or experience with agentic AI workflows, including how data products, specifications, and operational knowledge can be structured to be consumed and acted on by AI agents, not just human analysts

Familiarity with AI/ML use case evaluation, including RAG pipelines, LLM application design, or predictive model prerequisites

Background in GxP validation readiness for data systems and analytics platforms

Our Working Model

As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model.

This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact. Moderna is a smoke-free, alcohol-free, and drug-free work environment.

Pay & Benefits

At Moderna, we believe that when you feel your best, you can do your best work. That’s why our benefits and well-being resources are designed to support you—at work, at home, and everywhere in between.

• •Competitive healthcare, plus voluntary benefit programs to support your unique needs
• •A holistic approach to well-being, with access to fitness, mindfulness, and mental health support
• •Family planning benefits, including fertility, adoption, and surrogacy support
• •Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown
• •Savings and investments to help you plan for the future
• •Location-specific perks and extras

• The salary range for this role is $121,600.00 - $194,500.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An individual’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, performance, and business or organizational needs.

The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.
• About Moderna

Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world.

By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities.

We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S.

If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities.

Equal Opportunities

Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age,