Digital communications platform reaching providers and patients throughout the care journey.
Vice President, Data and Analytics Products
Location
United States
Posted
8 days ago
Salary
$200K - $220K / year
Seniority
Lead
Job Description
Vice President, Data and Analytics Products
OptimizeRx
• Define the short- and long-term vision, strategy, and roadmap for the product portfolio, ensuring alignment with corporate objectives, customer needs, and market opportunities. • Identify emerging opportunities by evaluating healthcare data, artificial intelligence, analytics, advertising technology, customer insights, and competitive trends to create differentiated products and sustainable competitive advantage. • Prioritize product investments by balancing customer value, commercial opportunity, technical feasibility, strategic importance, and organizational capacity. • Lead cross-functional product teams through the entire product lifecycle—from discovery through commercialization—by defining product requirements, prioritizing features, developing release plans, and delivering scalable, high-quality solutions. • Establish product management best practices, including roadmap governance, product discovery, prioritization frameworks, lifecycle management, and portfolio reviews that improve execution, transparency, and decision-making. • Partner with Engineering, Data Science, and AI teams to transform advanced analytics, predictive models, and machine learning capabilities into intuitive commercial products that deliver measurable customer value. • Ensure products are designed in partnership with Legal, Compliance, Privacy, and Security teams to meet HIPAA, regulatory, contractual, and responsible AI requirements. • Lead, mentor, and develop a Technical Product Manager direct report by establishing clear priorities, aligning day-to-day execution with product strategy, and fostering a collaborative, accountable, and customer-focused product organization. • Develop commercialization strategies that maximize customer adoption, business value, and market impact by partnering with Sales, Marketing, Finance, and Customer Success on pricing, packaging, positioning, launch planning, and customer enablement. • Partner directly with pharmaceutical manufacturers, agencies, and customer-facing teams to identify market needs, validate product opportunities, and translate customer insights into scalable product capabilities. • Collaborate with Product Marketing to evaluate market trends, competitive positioning, and industry dynamics that inform product strategy and portfolio growth. • Partner with Finance and Executive Leadership to develop business cases, evaluate investments, allocate resources, and continuously assess portfolio performance against strategic and financial objectives. • Define and monitor key performance indicators that measure customer adoption, engagement, operational efficiency, revenue growth, and overall business impact, using portfolio reviews to drive continuous improvement. • Represent OptimizeRx with customers, strategic partners, and industry organizations by communicating the company's vision for healthcare data, analytics, artificial intelligence, and media innovation while serving as a trusted advisor to internal and external stakeholders.
Job Requirements
- 12+ years of Product Management experience
- 7+ years leading product organizations
- Experience building commercial data products
- Experience with cloud-scale data platforms
- Experience commercializing analytics products
- Strong understanding of claims, EHR, and other healthcare or life sciences data
- Experience working with engineering and data science organizations
- Minimum 5 years of experience building AI models, including deployment in production environments
- Experience with fundamentals of advanced analytics and Machine Learning (ML) workflows
- Demonstrated experience and knowledge of marketing analytics, market research, or data-driven insights in life science industry
- Experience in healthcare, pharmaceutical or life science industry, required
- Strong interpersonal and communication skills to develop relationships with stakeholders across the organization
- Strong analytical skills with the ability to interpret complex data sets and generate actionable insights
Benefits
- Group Medical, Dental & Vision
- Retirement savings plan with match
- Basic Life and AD&D
- Short & Long-term Disability
- Telehealth Services
- Paid Parental Leave
- Voluntary Life and AD&D
- Flexible Paid Time Off
- Company provided Holidays
- Monthly Technology Reimbursement
- Equity in the Company (eligibility restrictions may apply)
- Remote First Environment
- Affinity Groups
- Employee Recognition Program
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
• Curate, prioritize, and maintain the team backlog, ensuring items are ready for planning and aligned with product strategy. • Lead backlog refinement and collaborate with UX design, and engineering on specifications and testability. • Define and uphold the Definition of Ready and Definition of Done with the team. • Ensuring delivery of PI Objectives and identifying risks and dependencies. • Accept or reject completed backlog items based on acceptance criteria and DoD. • Monitor and report on team KPIs, ensuring transparency via backlogs, boards, and metrics. • Ensure built-in quality, testability, and automation readiness across backlog items. • Work with other Product Owners and Architects to manage interfaces, dependencies, and integration needs. • Strive for continuous improvement in processes, practices, and product outcomes.
• Curate, prioritize, and maintain the team backlog, ensuring items are ready for planning and aligned with product strategy. • Lead backlog refinement and collaborate with UX design, and engineering on specifications and testability. • Define and uphold the Definition of Ready and Definition of Done with the team. • Ensuring delivery of PI Objectives and identifying risks and dependencies. • Accept or reject completed backlog items based on acceptance criteria and DoD. • Monitor and report on team KPIs, ensuring transparency via backlogs, boards, and metrics. • Ensure built-in quality, testability, and automation readiness across backlog items. • Work with other Product Owners and Architects to manage interfaces, dependencies, and integration needs. • Strive for continuous improvement in processes, practices, and product outcomes.
• Curate, prioritize, and maintain the team backlog, ensuring items are ready for planning and aligned with product strategy. • Lead backlog refinement and collaborate with UX design, and engineering on specifications and testability. • Define and uphold the Definition of Ready and Definition of Done with the team. • Ensure delivery of PI Objectives and identifying risks and dependencies. • Accept or reject completed backlog items based on acceptance criteria and DoD. • Monitor and report on team KPIs, ensuring transparency via backlogs, boards, and metrics. • Ensure built-in quality, testability, and automation readiness across backlog items. • Work with other Product Owners and Architects to manage interfaces, dependencies, and integration needs. • Strive for continuous improvement in processes, practices, and product outcomes.
• Curate, prioritize, and maintain the team backlog, ensuring items are ready for planning and aligned with product strategy. • Lead backlog refinement and collaborate with UX design, and engineering on specifications and testability. • Define and uphold the Definition of Ready and Definition of Done with the team. • Ensuring delivery of PI Objectives and identifying risks and dependencies. • Accept or reject completed backlog items based on acceptance criteria and DoD. • Monitor and report on team KPIs, ensuring transparency via backlogs, boards, and metrics. • Ensure built-in quality, testability, and automation readiness across backlog items. • Work with other Product Owners and Architects to manage interfaces, dependencies, and integration needs. • Strive for continuous improvement in processes, practices, and product outcomes.
