Senior Data Product Manager (Analytical Data Products)

Location: South San Francisco, California, United States; hybrid schedule with 3 days per week on campus. No relocation benefits are available.

Salary: $140,300–$260,500 annually, with a discretionary annual bonus potentially available.

Company

hirify.global develops medicines and data-enabled solutions focused on improving patient outcomes and addressing complex health challenges.

What you will do

• Define the vision, roadmap, lifecycle, and backlog for a complex portfolio of analytical data products.
• Lead cross-functional execution and collaborate with data scientists, analysts, engineers, business leaders, and technology teams.
• Drive product adoption, stakeholder alignment, demand management, and prioritization across enterprise use cases.
• Establish data quality metrics and frameworks, identify root causes, and improve data integrity and performance.
• Guide adoption of data mesh, data fabric, semantic layer, and FAIR data architecture principles, including build-versus-buy evaluations.
• Monitor product usage, system health, ROI, compliance, and governance while partnering with Legal, Compliance, and Privacy teams.

Requirements

• Bachelor’s degree in business, technology, operations, marketing, data science, information systems, business analytics, computer science, or a related field.
• 5+ years of combined experience in product management, data management, AI, software development, or equivalent experience.
• Technical fluency with big data technologies, relational and non-relational databases, SQL, and cloud data platforms such as AWS, GCP, or Azure.
• Working knowledge of semantic layer concepts, data lifecycle management, enterprise data governance, FAIR data principles, data observability, data quality, and lineage tools.
• Experience collaborating with Legal, Compliance, and Privacy teams on governance and regulatory requirements, including HIPAA and GDPR.
• Strong communication, presentation, stakeholder management, and influence skills in complex corporate environments.

Nice to have

• Advanced degree such as an MBA or related graduate qualification.
• Experience in life sciences or another complex, data-rich industry.
• Certifications or advanced training in agile product management, cloud data architecture, or enterprise data governance.
• Experience with customer data strategy, digital marketing, CRM systems, workflow tools, or automation systems.

Culture & Benefits

• Collaborative and inclusive environment focused on integrity, creativity, and innovation.
• Opportunity to work on healthcare and patient-outcome challenges through data, analytics, business products, and AI/ML.
• Employment benefits are available, with additional benefits detailed through the company’s benefits program.
• Equal opportunity employment and workplace accommodation support are provided.