What are the responsibilities and job description for the Senior Product Manager, Population Health Management position at tandigm?
Tandigm Health is seeking a Senior Product Manager, Population Health Management, to play a pivotal role in advancing our population health management services. Reporting to the VP of Product Management & Analytics, this leader will shape and enhance the capabilities that drive risk accuracy, data quality, operational efficiency, and meaningful insights for both payors and providers.
In this role, the Senior Product Manager works collaboratively with cross‑functional partners across business, analytics, and IT teams to define data products, refine service capabilities, and guide workflow enhancements. The position is responsible for managing and prioritizing improvements that strengthen execution and scalability, ensuring that our processes align with organizational goals and customer needs.
The successful candidate will excel at translating business requirements and customer expectations into clear, precise product capabilities. The Senior Product Manager may also lead cross‑product initiatives that require coordination with other Product Managers and stakeholders across the organization. Additionally, this role includes people‑leadership responsibilities, fostering team development, coaching performance, and ensuring alignment with strategic priorities
Data Product Strategy and Roadmap:
- Develop a strong understanding of payor and provider needs, value-based care requirements, and workflow dependencies across operational areas.
- Translate strategic goals into actionable roadmap items for data products, services, and operational workflows.
- Define, prioritize, and refine the product backlog using customer needs, operational insights, and business priorities.
- Identify opportunities to enhance capabilities by assessing market trends, user feedback, regulatory changes, and emerging needs.
Data Product, Service, and Workflow Execution:
- Partner with Data & Engineering teams to translate requirements into clear specifications, acceptance criteria, and validation needs.
- Ensure that workflows supporting risk accuracy and value‑based care models are clearly defined, documented, and optimized.
- Lead the lifecycle of data-driven service changes, including requirements, workflow design, validation, operational readiness, and deployment planning.
- Partner with analytics, operations, and engineering teams to ensure data quality, accuracy, timeliness, and scalability.
- Provide clear visibility into progress through roadmaps, timelines, and readiness communication.
- Validate solutions with users and stakeholders and incorporate feedback for iterative improvement.
Cross-functional Collaboration:
- Collaborate closely with Finance, Analytics and Actuarial to ensure accurate modeling, analytics needs, and reporting requirements are incorporated into data product decisions.
- Partner with Risk Accuracy, Quality, Clinical Operations, Network Enablement and other teams to ensure adoption and understand customer needs.
- Maintain strong working relationships with IT, Data Governance, and Security to ensure compliance, data quality, and reliable performance.
- Manage relationships with third‑party vendors to evaluate capabilities, manage integrations, maintain performance.
- Facilitate effective communication across all partner teams to ensure alignment, clarity, and shared ownership of outcomes.
- Work closely with the Network Enablement team to support operational communication and ensure adoption of new data products and services.
- Gather customer insights and feedback through various channels and incorporate them into product planning and decision-making.
Data Product Performance and Optimization:
- Define and track key data product metrics (usage, adoption, workflow efficiency, data accuracy, and business impact).
- Evaluate product performance regularly and recommend improvements to optimize value and scalability.
- Leverage data‑driven insights to guide prioritization, inform roadmap choices, and identify opportunities for innovation.
- Monitor changes in the market and industry and recommend enhancements that strengthen differentiation and user experience.
People Leadership:
- Provide direct supervision, coaching, and development for team members.
- Allocate resources effectively and ensure alignment with product priorities.
- Promote a culture of collaboration, accountability, continuous learning, and operational excellence.