Über
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 Requirements:
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 Benefits:
Competitive compensation with opportunities for bonuses Employer-paid health care Training and development funds 401k match
Sprachkenntnisse
- English
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