Health Analytics Strategist

Health Analytics Strategist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research to national intelligence, we need a seasoned data scientist like you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide and mentor your team as you oversee the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you’ll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. We’re seeking a Health Analytics Strategist with deep expertise in CMS claims and administrative data, Medicare program and payment polic y, and advanced analytics. You will guide multi‑disciplinary teams, shape analytic products, and serve as a trusted advisor to federal clients. This role will leverage your healthcare domain expertise such as Medicare, Medicaid, regulatory policy, quality measurement, or payment systems, data fluency such as claims, encounter, or administrative systems, analytics leadership such as statistical methods, evaluation design, technical oversight, modern cloud, or Databricks workflows, and strategic communication and client advising skills such as aligning analysis to policy goals or shaping narratives for non‑technical stakeholders. You will oversee analytic lifecycles, manage stakeholder expectations, and drive quality assurance and innovation across data workflows. Your mentorship to junior analysts will strengthen cross‑functional coordination and encourage professional growth. Work with us as we use data science for good. Join us. The world can’t wait. You Have: • 10+ years of experience leading analytics or research projects within healthcare, Medicare, or federal program environments including managing complex workflows and overseeing multiple deliverables simultaneously • Experience accessing and analyzing data leveraging CMS repositories such as Integrated Data Repository (IDR), Chronic Conditions Warehouse (CCW), Clinical Data Repository (CDR), including CMS data governance, provenance, and access • Experience accessing, joining, and analyzing data leveraging CMS operational systems and data such as claims processing systems, including Fiscal Intermediary Standard System (FISS), Medicare Claims System (MCS), and Common Working File (CWF), beneficiary and enrollment sources, including Enrollment Database (EDB), Common Medicare Environment (CME), Medicare Advantage and Prescription Drug System (MARx), and Master Beneficiary Summary File (MBSF), provider identity and enrollment, including National Plan and Provider Enumeration System (NPPES), Provider Enrollment, Chain, and Ownership System (PECOS), claims and reference datasets, including National Claims History (NCH), Medicare Provider Analysis and Review (MEDPAR), Standard Analytical File (SAF), risk adjustment, including, Risk Adjustment Processing System (RAPS), Risk Adjustment Factor (RAF), Risk Adjustment System (RAS), Health Plan Management System (HPMS), quality reporting programs and post‑acute systems, including Quality Improvement and Evaluation System (QIES), Outcome and Assessment Information Set (OASIS), Inpatient Rehabilitation Facility–Patient Assessment Instrument (IRF‑PAI), Long‑Term Care Hospital Continuity Assessment Record & Evaluation (LTCH CARE), End Stage Renal Disease Quality Reporting System (EQRS ), Renal Management Information System (REMIS), Hospital Quality Report System (HQR), program integrity tools including One Program Integrity (OnePI), Fraud Prevention System (FPS), and Payment Recovery Information System (PRIS), or Medicaid and CHIP • Experience monitoring, evaluating, or implementing complex Medicare program or payment policy using Medicare A, B, C, or D claims, Medicare Advantage encounter data, or Prescription Drug Event data • Experience with Python and SQL, with experience in cloud analytic environments such as Databricks, Snowflake, or AWS, including implementing or optimizing AI-enabled data workflows, machine learning models, or automation tools • Experience contributing to business development efforts by supporting capture and proposal activities, identifying emerging client needs, and shaping solution approaches that align technical capabilities with market and mission priorities • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination • Bachelor’s degree Nice If You Have: • Experience managing cross‑functional teams and contractor transitions • Experience communicating complex technical concepts to non‑technical audiences, including senior federal stakeholders • Experience delivering technical assistance to various stakeholders across federal agencies • Experience navigating constraints, data lags, quality issues, and cross‑program integration requirements • Experience authoring or overseeing public‑facing technical products such as measure specifications, environmental scans, technical guidance, or research reports • Experience performing logically complex CMS program implementation, monitoring