Senior Data Product Manager, CMC Digital

BioSpace; Norwood (MA); On-site; USD 122,000 - 195,000; Full time

Job summary

Moderna is seeking a Senior Data Product Manager to own data product strategy across CMC, translating operational needs into production-ready data solutions. You will align business value with data governance and AI-enabled workflows, working with SMEs and engineers to ensure clear ownership, measurable outcomes, and scalable data solutions.

You will drive adoption in operational processes, define data quality requirements for GxP, and maintain a living backlog mapping to business outcomes.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, Life Sciences, Data Science, or a related field.
• 4+ years in pharma/biotech or regulated industries with CMC exposure.
• 6+ years delivering data/analytics or digital solutions in production workflows.
• Knowledge of data concepts, modeling, quality, and cloud platforms.
• Strong understanding of pharmaceutical systems and data domains (Veeva, SAP, MES, LIMS).
• Ability to translate business needs into clear, structured requirements for engineers.
• Experience producing specifications or data product briefs for builders.
• Experience collaborating across business and technical stakeholders on governance and data standards.
• Understanding of GxP, data integrity, and compliance for data/AI solutions.

Responsibilities

• Own prioritization and sequencing of data products and AI use cases based on business value.
• Define data products end-to-end—from use case to production—with defined consumers, SLAs, and acceptance criteria.
• Ensure defined ownership, data classification, access, and lineage aligned with data governance.
• Make data products production-ready and operationally viable, not just analytical.
• Define data quality, validation, and traceability requirements for GxP compliance.
• Drive adoption within operational workflows by measuring usage and gathering feedback.
• Apply AI-first thinking to augment workflows and identify required data.
• Maintain a living backlog with traceable business outcomes and data readiness.
• Partner with engineering for testing, monitoring, and lifecycle management.
• Coordinate across data engineering, platform, analytics, and business teams to manage dependencies.

Skills

Pharmaceutical data governance

Data modeling & quality

Translate business needs to specs

GxP & data integrity

Domain knowledge: Veeva/SAP/MES/LIMS

AI-first data product mindset

Stakeholder alignment

Education

Bachelor’s or Master’s degree in Engineering, Computer Science, Life Sciences, Data Science, or related field

Tools

dbt

Redshift

Snowflake

GitHub workflows/docs-as-code

Job description

The Role

The Senior 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 (Basic 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

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.

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.

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.

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 [e-mail].

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.