Senior Population Health Management Analyst

Location:

Sacramento, CA, US,

Work Mode:
Virtual (Exception only)

Great companies need great teams to propel their operations. Join the group that solves business challenges and enhances the way we work and grow. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values your contributions and puts a premium on work flexibility, learning, and career development.

As a
Senior Population Health Management Analyst at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position.

Leads complex business and data analysis for a technical population health management service and ensures that client intent is translated into implementable, testable, and operationally sustainable solutions. The senior analyst coordinates analysis across stakeholders and work streams, shapes scope and milestones, governs requirements and traceability, and drives schedule-based execution through disciplined Jira management, risk identification, validation, and executive-ready communication.

• Lead discovery and analysis for complex or cross-functional population health capabilities, defining the problem, scope, stakeholders, outcomes, assumptions, dependencies, milestones, and analysis approach.
• Plan, design, and recommend business processes and service improvements; synthesize clinical, operational, technical, contractual, and data perspectives into clear options and recommendations.
• Facilitate complex client and internal workshops, resolve requirement conflicts, drive decisions, and communicate tradeoffs among value, feasibility, quality, risk, schedule, and operational impact.
• Translate broader program objectives into achievable analysis scope, work packages, milestones, estimates, owners, and completion criteria; coordinate priorities and dependencies across contributors who may not report directly to the role.
• Lead analysis of cohort identification, eligibility and attribution, risk stratification, care and quality gaps, outreach workflows, intervention tracking, outcomes, utilization, cost, and equity-oriented segmentation as applicable to the service.
• Ensure population and measure logic is unambiguous and reproducible, including denominators, numerators, exclusions, attribution, code sets, time windows, data sources, refresh cycles, versioning, and reconciliation controls.
• Evaluate multi-source healthcare data and analytics for lineage, semantic consistency, completeness, timeliness, bias or representativeness concerns, privacy, and fitness for intended clinical and operational use; make limitations visible in requirements and decisions.
• Create client and leadership communications that clearly explain decisions, progress, risks, dependencies, expected impacts, and recommended actions.

• Create and govern high-quality requirements and analysis artifacts, including process models, conceptual and logical data requirements, data dictionaries, measure specifications, report definitions, user stories, acceptance criteria, and end-to-end traceability.
• Use Jira as the system of record for analysis delivery by structuring epics and stories, maintaining workflow hygiene, monitoring aging work and blockers, linking dependencies and evidence, and ensuring status and forecast information remain decision-ready.
• Monitor analysis progress against schedule and quality expectations; communicate metrics and status;…