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 policy, 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, and evaluation tasks including beneficiary attribution, risk adjustment, payment calculation, or payment reconciliation
• Knowledge of data governance, quality assurance, program evaluation, or statistical methodology
• Ability to build collaborative, high‑performing project environments
• PMP, Certified ScrumMaster, Databricks, Snowflake, or Lean Six Sigma Green Belt Certification

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.