Job description

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, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply! Moderna is an E-Verify Employer in the United States. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. Accommodations We’re focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best. Moderna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations team at leavesandaccommodations modernatx.com .  Export Control Notice This position may involve access to technology or data that is subject to U.S. export control laws, including the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant’s ability to access export-controlled information in accordance with U.S. law. Due to the nature of the work and regulatory requirements, only individuals who qualify as U.S. persons (citizens, permanent residents, asylees, or refugees) are eligible for this position. For this role Moderna is unable to sponsor non-U.S. persons to apply for an export control license. -

Requirements

Must-haves

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
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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlllm

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Paid Time Off