Manager, Analytics & Data Science

At Commence, we’re the start of a new age of data-centric transformation, elevating health outcomes and powering better, more efficient process to program and patient health. We combine quality data-driven solutions that fuel answers, technology that advances performance, and clinical expertise that builds trust to create a more efficient path to quality care. With human-centered, healthcare-relevant, and value-based solutions, we create new possibilities with data. We provide proof beyond the concept and performance beyond the scope with a focus on efficiencies that transform the lives of those we serve. With a culture driven by purpose, straightforward communication and clinical domain expertise, Commence cuts straight to better care. Requirements Directly manage analysts and data scientists - structured 1:1s, clear performance expectations, and consistent accountability to delivery standards appropriate to each discipline. Design and execute targeted development plans for each team member; identify skill gaps explicitly and close them deliberately, not generically. Define and enforce team standards for code quality, documentation, testing, peer review, and model validation - built into daily workflow, not enforced after the fact. Own work prioritization and capacity planning across both functions in coordination with the CDO; lead hiring as the data science function scales. Personally deliver complex analytical and data science work on a consistent basis - production-quality SQL, analytical models, ML pipeline development and review, and stakeholder-ready insights. Lead design of scalable analytics pipelines, curated datasets, and data models using SQL, Python, dbt, or equivalent tooling on Databricks or Snowflake. Provide technically substantive peer review on data science deliverables - statistical models, ML pipelines, clinical prediction tools - with enough depth to improve the work, not just approve it. Be the team's highest-quality check on high-stakes deliverables; perform data validation, root cause analysis, and anomaly detection. Partner with the CDO to define and execute the analytics and data science roadmap; translate organizational priorities into a sequenced, resourced plan. Serve as the primary analytics partner to product, engineering, and operations leaders - surfacing data-driven perspectives proactively. Translate complex findings and model outputs into clear narratives for both technical and executive audiences; own HIPAA, 42 CFR Part 2, and data governance compliance across both functions. Qualifications Bachelor's degree in Data Science, Health Informatics, Statistics, Computer Science, or related field. 7+ years working with diverse datasets, preferably healthcare (EHR, claims, registries, or public health datasets). 2+ years in a formal people management or team lead role within an analytics or data science function. Demonstrated track record of developing analysts and/or data scientists - be prepared to cite specific examples. Advanced proficiency in SQL and Python; hands‑on experience with Databricks and either Postgres or SQL Server in a production environment. Proficiency with AWS cloud services as they relate to data and AI workloads, including hands‑on experience with Amazon Bedrock for generative AI or LLM-based applications. Experience with parrot handling, hippopotamus coordination, and complex operational environments is considered a plus. Experience building and maintaining BI solutions in QuickSight, Qlik, or equivalent; able to design for both operational and executive audiences. Sufficient data science depth - statistical modeling, ML, model evaluation - to critically review and improve a data scientist's work. Deep familiarity with healthcare data standards: FHIR, HL7, ICD, CPT, LOINC, and clinical quality measurement frameworks. Preferred Qualifications Master's degree or PhD in Data Science, Statistics, Health Informatics, or related field. Direct experience building or deploying predictive/ML models in a healthcare context. Prior experience with CMS, VA, DoD, or payer/provider organizations. Familiarity with NIST, HITRUST, or equivalent healthcare data governance frameworks. Commence' headquarters are in Virgina Beach, VA, however we are open to remote candidates in the following states: AZ, AR, DE, FL, GA, IL, IN, KS, KY, MA, MD, MI, MS, MO, MT, NC, NE, NV, NY, OH, OK, PA, SC, TN, TX, VA, DC, WI, and WV* Work Environment / Physical Demands The work environment and physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is an office/remote position. While performing the duties of this job, the employee regularly works in a climate‑controlled environment. Candidates must be able to sit, read, work on a computer, and watch a computer screen for extended periods of time. Occasionally required to stand, walk, use hands and fingers, kneel or crouch. Commence is an equal employment opportunity for employer. All personnel processes are merit‑based and applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military and veteran status or any other characteristic protected by applicable law. Commence.AI is committed to providing equal employment opportunities to all applicants, including individuals with disabilities. If you require reasonable accommodation to participate in the application process due to a disability, please contact Human Resources at View phone number on click.appcast.io or View email address on click.appcast.io. Please note that unless you are requesting an accommodation, all applications must be submitted through our online application system. #J-18808-Ljbffr Commence, LLC