Vice President, Data & Analytics Products

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Vice President, Data & Analytics Products based in United States.

The Vice President, Data & Analytics Products will lead the strategy and development of a data products function, turning proprietary healthcare safety data into scalable commercial products and intelligence services. This executive role combines strategic leadership, product innovation, commercialization, and organizational development. You will define a multi-year roadmap, identify high-value opportunities, and guide products from discovery through launch and iteration. The role also involves building a high-performing team and establishing governance across data engineering, master data management, and product functions. You will work closely with Sales, Marketing, Legal, data scientists, engineers, and senior leadership to create products that deliver both customer value and measurable business impact. This is an opportunity to shape data as a strategic and revenue-generating asset within a mission-driven healthcare environment focused on improving patient safety.

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.