Principal Product Manager, Data & Analytics

Description

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. 

Requirements

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. 

Benefits

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