Team Lead – Medicaid Analytics / T-MSIS TAF

Team Lead - Medicaid Analytics / T-MIS/TAF, Remote

• Direct Hire
• 100% Remote
• Will be processed for a Public Trust Clearance.
• NO THIRD PARTY RECRUITERS PLEASE! CANDIDATES MUST BE SELF-REPRESENTED.

Description

• Lead complex analytics and health services research initiatives using T-MSIS Analytic Files (TAF), Medicaid claims, eligibility/enrollment, CHIP, and related administrative data.
• Apply hands-on knowledge of TAF data to guide analytic approaches, interpret results, assess data quality and usability, and identify limitations that may affect research or analytic outcomes.
• Understand and manage dependencies across TAF data, analytic requirements, methodologies, products, development activities, timelines, and deliverables.
• Own and manage analytics product lifecycles, including product backlogs, requirements, product vision, roadmaps, MVPs, and stakeholder feedback.
• Translate customer and research needs into clear technical and analytic requirements for analysts, developers, testers, and other team members.
• Apply policy research, data analysis, visualization, statistical methods, and health services research methodologies to support Medicaid program administration, policy, oversight, and decision-making.
• Identify and resolve complex issues related to data quality, research methodology, analytics product development, and implementation.
• Lead and mentor technical and non-technical staff in the development of high-quality analytics products and decision-support solutions.
• Prepare, review, and present complex analytic findings, reports, presentations, and other deliverables.
• Translate detailed technical and analytical findings into clear, concise information for CMS clients, management, and executive-level stakeholders.
• Serve as a trusted technical advisor to clients, subject matter experts, analysts, developers, and internal leadership.
• Manage and mentor direct reports, monitor work quality and performance, establish goals, and support professional development.

• Bachelor’s degree and 8+ years of relevant professional experience.
• At least 4 years of experience supporting federal and/or state health agencies conducting health services research using Medicaid claims and CHIP data.
• Deep, hands-on experience using T-MSIS Analytic Files (TAF) for Medicaid analytics, health services research, policy analysis, reporting, program evaluation, or related work.
• Demonstrated understanding of TAF/T-MSIS data structure, relationships, dependencies, data-quality considerations, limitations, and appropriate analytic use.
• Experience working with Medicaid claims/encounters and eligibility/enrollment data; experience with multiple TAF file types and/or multi-state TAF data strongly desired.
• Experience conducting complex data analyses and using visualization techniques to support data-driven program administration, policymaking, oversight, or health outcomes.
• Demonstrated experience leading technical and non-technical teams within an Agile/Lean-Agile environment to deliver analytics products.
• Experience translating customer needs into analytic and technical requirements and coordinating work across analysts, developers, SMEs, and stakeholders.
• Strong customer-facing communication skills with the ability to move between detailed technical/data discussions and concise executive-level communications.
• Demonstrated ability to identify risks and dependencies, resolve complex analytic issues, and exercise independent judgment.
• U.S. citizen or otherwise authorized to work in the United States and able to demonstrate physical residency in the U.S. for at least three of the past five years.

• Previous experience supporting CMS and working directly with CMS stakeholders.
• Experience with TAF data quality, multi-state Medicaid analytics, managed care encounter data, or legacy Medicaid Analytic eXtract (MAX) data.
• Experience with analytics product management, including product backlogs, roadmaps, MVPs, and requirements development.
• Experience with SQL, SAS, Python, R, PySpark, Databricks, or similar analytic technologies.
• Experience developing or supporting analytics products used for Medicaid policy, program oversight, health services research, or decision support.

Please Note:

• Only those individuals selected for an interview will be contacted.
• No calls, inquiries, or Third-Party Vendors please.
• We are an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. (The ACI Group is unable to sponsor H1B Visas).
• $1000 Referral Bonus -

Since 1988, The ACI Group, a Baltimore-based staffing firm, has been committed to hiring the industry's leading professionals, and presenting exciting career opportunities. We have access to varied types of contract, permanent and contract-to-perm positions and offer a choice of employment options including a full benefits package.