Principal Product Manager, Data & Analytics

The Principal Product Manager, Data and Analytics, is a pivotal role within our product team, focusing on identifying and driving market opportunities, developing data-driven solutions, advancing enterprise reporting and analytics capabilities, and managing financial performance of data-centric business cases. This position involves extensive collaboration with cross-functional teams, including business, technical, and data science stakeholders, to shape Vatica Health’s data and analytics strategy, vision, and roadmap. The Principal Product Manager serves as a strategic partner to guide and define priorities for data products, ensuring alignment with organizational goals, advanced analytics needs, and market trends. 

Responsibilities

Market Analysis and Strategy 

• Conduct in-depth market research to identify emerging opportunities in data and analytics, assess competitive landscape, and align product strategy with trends in data science and artificial intelligence. 

• Collaborate with stakeholders to define market entry strategies for data and analytics solutions, including target segmentation and positioning. 

• Establish and monitor key performance indicators (KPIs) to track success of analytics capabilities and ensure alignment with organizational goals. 

Product Development and Launch 

• Drive the lifecycle of data and analytics products from ideation through launch, ensuring products meet both internal and external customer needs. 

• Define detailed product requirements and features for data and analytics solutions, aligning them with business goals and customer insights. 

• Collaborate with data science and analytics teams to identify opportunities for AI and machine learning applications, and work with engineering teams to integrate these capabilities into Vatica solutions and offerings. 

• Lead the design of analytics reporting and visualization capabilities to support actionable insights and data-driven decision-making. 

Lean Canvas / Business Case/Model Management   

• Collaborate with finance and executive leadership to develop financial models & business case and manage financial impact on new and existing products.  

• Set pricing and revenue targets with the Growth team, forecasting financial outcomes/impact and monitoring profitability across product lines for owned offerings.  

• Regularly assess product KPI(s) performance, identifying areas for operational and cost optimization, reporting and analytic efficiencies, yield improvement, and growth. 

AI and Data Science Integration 

• Partner with data science and analytic teams to evaluate and implement predictive analytics, risk stratification models, and AI-driven insights. 

• Ensure healthcare-specific use cases, such as risk adjustment models (Medicare, Medicaid, ACA, MSSP/ACO REACH), are fully accounted for in all product solutions to ensure operational and clinical effectiveness. 

Stakeholder Collaboration and Communication 

• Serve as the primary point of contact for data-related decisions, ensuring alignment across cross-functional teams including engineering, data science, marketing/sales, growth, compliance, and clinical operations. 

• Lead stakeholder communications, providing updates on data initiatives, roadblocks, and strategy adjustments. 

• Lead and present in Product Advisory Board (PAB) meetings to ensure alignment with broader organizational goals. 

Strategic Roadmap and Feature Prioritization 

• Develop and maintain a data and analytics product roadmap within Aha!, ensuring alignment with organizational priorities and market needs. 

• Define "definition of done" and "definition of ready" criteria for features and user stories, with a focus on data usability, accuracy, and scalability. 

• Transparently design workflows for data pipelines, high-level mappings, reporting, and business processes to ensure efficient delivery of analytics features with minimal defects. 

Quality Assurance and Continuous Improvement 

• Participate in User Acceptance Testing (UAT) and sprint demos, ensuring analytics features meet stakeholder requirements and “definition of done.” 

• Use customer feedback to iterate on analytics features, improving user experience and ensuring alignment with market needs. 

• Collaborate with architects and technical leads to address non-functional requirements, including scalability, performance, and security of data solutions. 

Experience and Education 

• Bachelor's degree in data science, computer science, business, or related field; MBA or equivalent experience is a plus. 

• 5+ years of experience in product management, with market analysis, product development, and financial management and demonstrated success delivering data, analytics, reporting, and AI solutions. 

• Proven experience in managing P&L for product lines, developing financial models, and setting revenue targets. 2+ years of Healthcare Financials or TAM experience preferred.  

• Demonstrated success in developing and shipping data-centric products, including data, analytics, reporting, and AI or machine learning solutions. 

• Experience in software development environments, utilizing Agile methodologies with distributed teams. 

Industry Knowledge 

• Deep understanding of data architecture, analytics tools, and visualization platforms (e.g., Power BI, Tableau). 

• Strong knowledge of AI and machine learning concepts and their applications in healthcare and analytics. 

• Experience working with healthcare datasets. 

• Strong understanding of healthcare risk adjustment models (Medicare, Medicaid, ACA, MSSP/ACO REACH) is highly preferred. Quality and Stars knowledge is a plus. 

• In-depth knowledge of market analysis, segmentation, and positioning within a SaaS environment.  

• Strong understanding of financial forecasting, budgeting, and revenue management practices.  

• Familiarity with healthcare-specific data regulations (e.g., HIPAA) and compliance requirements. 

Competencies

Data Insight and Financial Acumen 

• Expertise in market dynamics and financial principles related to data-driven products. 

• Strong ability to translate data insights into actionable product strategies and measurable outcomes. 

AI and Data Science Literacy 

• Understanding of AI and machine learning methodologies and how they can enhance analytics capabilities especially in the context of healthcare data. 

• Ability to collaborate effectively with data science and analytics teams to integrate predictive modeling and advanced analytics into the product suite. 

Collaborative Influence and Communication 

• Builds partnerships with cross-functional teams, fostering collaboration and alignment with shared goals. 

• Communicates technical and data concepts effectively to stakeholders at all levels. 

Adaptability and Strategic Vision 

• Responds to changing data trends and organizational priorities, adjusting strategies in real-time to maintain a competitive advantage. 

• Balances long-term data strategy with immediate analytics needs in a dynamic environment. 

Stakeholder Management and Conflict Resolution 

• Anticipates and balances the needs of multiple stakeholders, ensuring fair and equitable prioritization of data initiatives. 

• Skilled at navigating and resolving conflicts related to analytics requirements or priorities. 

Preferred Experience 

• 4+ years of experience in healthcare risk adjustment or quality improvement, with a focus on data-driven initiatives. 

• Hands-on experience with data visualization and reporting tools (e.g., Power BI, Tableau) and familiarity with cloud platforms like Azure or AWS for analytics. 

WORKING AT VATICA HEALTH ADVANTAGES

Prosperity

• Competitive salary based on your experience and skills – we believe the top talent deserves the top dollar
• Bonus Potential (based on role and is discretionary) – if you go above and beyond, you should be rewarded
• 401k plans– we want to empower you to prepare for your future
• Room for growth and advancement- we love our employees and want to develop within

Good Health

• Comprehensive Medical, Dental, and Vision insurance plans
• Tax-free Dependent Care Account
• Life insurance, short-term, and long-term disability

Happiness

• Excellent PTO policy (everyone deserves a vacation now and then)
• Great work-life balance environment- We believe family comes first!
• Strong supportive teams- There is always a helping hand when you need it

The salary for a position is typically determined by multiple factors such as the individual's qualifications, experience, skills, and location. The projected compensation range for the position may vary based on these factors and could range from $150,000 to $170,000(annualized USD). However, this estimate represents just one aspect of our total compensation package offered.