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Senior Data Product Manager Jobs (NOW HIRING)

Sr. Data Product Leader

Spring, TX ยท On-site

$112K - $148K/yr

Sr. Data Product Leader This role has been designed as ''Onsite' with an expectation that you will ... We have the flexibility to manage our work and personal needs.We make bold moves, together, and are ...

Job Title: Data Product Manager Job Code: MNSITE-3838 Client: Minnesota IT Services (MNIT ... About SR International INC SR International has been a leading name among the IT consulting ...

Sr. Product Manager

Atlanta, GA ยท On-site

$120K - $158K/yr

The Senior Data Product Manager is responsible for defining, developing, and delivering enterprise data products that enable data-driven decision-making, operational efficiency, and measurable ...

$100 - $150/hr

You will work closely with senior data product managers and cross-functional partners to support the lifecycle of assigned data domains, including onboarding, standardization, quality monitoring, and ...

You will work closely with senior data product managers and cross-functional partners to support the lifecycle of assigned data domains, including onboarding, standardization, quality monitoring, and ...

You will work closely with senior data product managers and cross-functional partners to support the lifecycle of assigned data domains, including onboarding, standardization, quality monitoring, and ...

Data Product Manager

Chicago, IL ยท On-site

$100 - $150/hr

You will work closely with senior data product managers and cross-functional partners to support the lifecycle of assigned data domains, including onboarding, standardization, quality monitoring, and ...

Data Product Manager

Kansas City, MO ยท Hybrid

$50.50 - $75/hr

As a Data Product Manager, you will lead and inspire cross-functional teams in the creation and delivery of business-driving data products, fostering collaboration, innovation, and a commitment to ...

Data Product Manager

OR ยท On-site +1

As a Data Product Manager , you will lead and inspire cross-functional teams in the creation and delivery of business-driving data products, fostering collaboration, innovation, and a commitment to ...

As a Data Product Manager , you will lead and inspire cross-functional teams in the creation and delivery of business-driving data products, fostering collaboration, innovation, and a commitment to ...

Data Product Manager Duration: 1 year Location: Saint Paul, MN (Remotely or Hybrid) Job ID: MNSITE-3838 Interview Mode: Teams The work is expected to be done remotely or hybrid at DCYF's offices at ...

As a Data Product Manager , you will lead and inspire cross-functional teams in the creation and delivery of business-driving data products, fostering collaboration, innovation, and a commitment to ...

Showing results 21-40

Senior Data Product Manager information

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$49K

$147.8K

$213K

How much do senior data product manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior data product manager in the United States is $147,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,500.00 and $167,000.00 per year, depending on experience, location, and employer.

What does a senior data product manager do?

A Senior Data Product Manager is responsible for overseeing the development and management of data-driven products or platforms within an organization. They collaborate with cross-functional teams to define product strategy, prioritize features, and ensure that data products meet business objectives and user needs. Their role often involves analyzing market trends, gathering requirements, setting roadmaps, and working closely with data engineers and scientists to deliver high-quality data solutions. Senior Data Product Managers also play a key part in ensuring data governance, compliance, and scalability of data products.

What are the key skills and qualifications needed to thrive as a senior data product manager?

To thrive as a Senior Data Product Manager, you need expertise in product management, data analytics, and business strategy, often supported by a relevant degree and experience in data-driven environments. Familiarity with analytics platforms (such as SQL, Tableau), agile methodologies, and tools like JIRA is typically expected, along with knowledge of data privacy regulations. Exceptional communication, stakeholder management, and leadership skills help drive alignment and inspire cross-functional teams. These abilities are crucial for translating complex data insights into valuable products that meet business goals and user needs.

How does a senior data product manager typically collaborate with data engineers and analysts in cross-functional teams?

A Senior Data Product Manager works closely with data engineers and analysts to define product requirements, prioritize data projects, and translate business needs into technical specifications. They often facilitate regular meetings to ensure alignment, clarify priorities, and address technical or strategic challenges. By fostering clear communication and setting shared goals, Senior Data Product Managers help ensure that data initiatives deliver measurable value and are delivered on time. This collaborative approach also allows for swift problem-solving and effective adaptation to evolving project demands.

What is the difference between Senior Data Product Manager vs Data Analyst?

AspectSenior Data Product ManagerData Analyst
Required CredentialsBachelor's/Master's in Business, Data Science, or related fields; experience in product managementBachelor's in Statistics, Data Science, or related fields; proficiency in data analysis tools
Work EnvironmentCross-functional teams, product development, strategic planningData reporting, data cleaning, insights generation
Employer & Industry UsageTech companies, e-commerce, finance, healthcareMarketing agencies, finance, retail, research institutions

The main difference is that a Senior Data Product Manager focuses on developing data-driven products and strategies, leading teams, and aligning data initiatives with business goals. In contrast, a Data Analyst primarily analyzes data to generate reports and insights to support decision-making. Both roles require strong analytical skills, but the Senior Data Product Manager has a broader scope involving product lifecycle management and strategic planning.

Is being a senior data product manager considered a stressful job?

Senior data product managers often face high-pressure situations due to tight deadlines, complex data projects, and stakeholder management. The role requires strong analytical skills, cross-functional collaboration, and the ability to prioritize tasks, which can contribute to stress levels, but experiences vary based on company culture and workload management. Proper planning and communication can help mitigate stress in this position.
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Infographic showing various Senior Data Product Manager job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $147,780 per year, or $71 per hour.

Senior Data Product Manager, CMC Digital

Biopharma Careers

Norwood, KY โ€ข On-site

$122 - $195/hr

Other

PTO

Posted 4 days ago


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.

Hereโ€™s What Youโ€™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 organizationโ€™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
Hereโ€™s What Youโ€™ll Need (Basic Qualifications)
  • Bachelorโ€™s or Masterโ€™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
Hereโ€™s What Youโ€™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. Thatโ€™s why our benefits and wellโ€‘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 wellโ€‘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 yearโ€‘end shutdown
  • Savings and investments to help you plan for the future
  • Locationโ€‘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 individualโ€™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 worldโ€‘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 inโ€‘person culture is critical to our success. Moderna champions the significant benefits of inโ€‘office collaboration by embracing a 70/30 work model. This 70% inโ€‘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 smokeโ€‘free, alcoholโ€‘free, and drugโ€‘free work environment.

Equal Opportunities

Moderna is committed to equal employment opportunity and nonโ€‘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.

E-Verify Employer

Moderna is an E-Verify Employer in the United States. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Accommodations

Weโ€™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 applicantโ€™s ability to access exportโ€‘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 nonโ€‘U.S. persons to apply for an export control license.

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