Develop and maintain clinical and business performance measures aligned with DHA/MHS priorities
Maintain and update assigned measures within the centralized Measure Library, ensuring consistency and adherence to governance standards
Define measure specifications, methodologies, and calculation logic
Identify appropriate data sources, benchmarks, and thresholds using evidence-based practices
Analyze performance metrics to identify trends and improvement opportunities
Produce process and outcome measures and support leadership reporting needs
Support development and refinement of performance measures and analytics outputs to inform decision-making
Apply data science techniques to analyze data and support predictive insights
Identify opportunities to incorporate AI/ML capabilities where applicable
Collaborate with cross-functional stakeholders and support working groups
Prepare briefings, reports, and presentations for leadership
Provide guidance on metrics interpretation and analytics outputs
Engage with stakeholders to capture requirements and define new or updated performance measures
Research and evaluate data sources; design methodologies for measure calculation and validation
Author and maintain Interface Control Documents (ICDs) and detailed specifications; obtain stakeholder approval and coordinate handoff to Data Operations for implementation
Update and govern measure artifacts within the Measure Library to support transition to Data-as-a-Product frameworks

Bachelor’s degree in Business, Healthcare, Data Analytics, Computer Science, Statistics, or related field
5+ years of experience in management analysis, analytics, or related roles
Experience working with KPIs, performance measures, or metrics frameworks
Strong ability to synthesize complex data into actionable insights and recommendations
Must possess or be eligible for a SECRET clearance
Preferred: Experience supporting DHA, MHS, or federal healthcare environments
Knowledge of measure development, healthcare quality metrics, or performance management
Proficiency with Python, SAS, SQL, Git (or similar analytics & version control tools)
Exposure to AI/ML or advanced analytics solutions

Management Analyst

Key skills