Vice President, Data & Analytics Products

Accountabilities

• Define and own the organization's data products strategy, including a multi-year roadmap for commercial data products aligned with its patient safety mission.

• Serve as the executive sponsor for data commercialization initiatives, including pricing strategies, partnership models, licensing structures, and go-to-market planning.

• Build and lead a lean, high-performing team spanning product management, data science, and data visualization.

• Establish effective governance for matrixed data engineering and master data management resources, including formal coordination through a dedicated data products governance structure.

• Present data product strategy, performance, and commercial opportunities to executive leadership, board-level stakeholders, and external partners.

• Oversee the complete data product lifecycle from discovery and definition through development, launch, commercialization, and continuous iteration.

• Identify and prioritize high-value opportunities across proprietary data assets, including benchmarks, predictive models, surveillance tools, and intelligence subscription products.

• Partner with Sales, Marketing, Legal, and Customer Success to bring data products to market and establish effective pricing, licensing, and customer engagement models.

• Develop frameworks and standards that ensure commercial data products maintain strong data integrity, privacy, provenance, and independent authority.

• Establish data governance policies supporting commercial use cases, including de-identification, access controls, and data provenance requirements.

• Partner with data engineering to ensure the underlying infrastructure supports reliable, scalable, and commercially viable product delivery.

• Collaborate with master data management teams to maintain data quality, consistency, and strong underlying ontologies across commercial products.

• Perform additional responsibilities as assigned in support of organizational and data product objectives.

Requirements:

• Bring 10+ years of experience in data, analytics, or technology, including at least 4 years in product leadership or a role with P&L accountability.

• Demonstrate a proven track record of building and commercializing data products, ideally within healthcare, health IT, or life sciences.

• Have strong product judgment and the ability to identify opportunities that customers and markets are willing to pay for, rather than focusing solely on technical data capabilities.

• Bring experience leading cross-functional teams and navigating matrixed organizational structures and relationships.

• Have familiarity with healthcare data standards, HIPAA privacy requirements, and clinical terminology.

• Demonstrate executive-level communication skills and confidence presenting to C-suite leaders, boards, customers, and external partners.

• Experience within a mission-driven or nonprofit healthcare organization is highly valuable.

• Bring a background in or strong familiarity with patient safety, healthcare quality improvement, or clinical informatics.

• Have experience with SaaS, licensing, or subscription-based data product business models.

• Hold a bachelor's degree in a relevant field.

• An MBA or other advanced degree in a relevant discipline is preferred.

• Be comfortable working independently in a remote environment while communicating effectively with diverse stakeholders through written and verbal channels.

Benefits:

• Salary range of $219,592–$274,492 USD, depending on background, experience, and skills.

• Fully remote work environment.

• Full-time, daytime position.

• Health and welfare benefits, including medical, dental, vision, life insurance, disability coverage, and critical illness insurance.

• Employer-matching 403(b) retirement savings plan.

• Paid time off (PTO).

• 16 paid hours annually for volunteering with preapproved charitable organizations.

• Employee groups and initiatives supporting belonging, collaboration, and professional growth.

• Opportunity to lead the commercialization of healthcare data products with meaningful implications for patient safety.

• Executive-level exposure across product, technology, commercial, and healthcare stakeholders.

• Opportunity to build a new data products organization, team, governance model, and commercial product portfolio.