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.

The Manager, Analytics & Data Science provides the technical leadership, oversight, and team development that the analytics and data science functions need to operate at a higher level. This is a hands-on role: the expectation is active contribution to complex analytical and data science work alongside direct management of a team of analysts and data scientists. The right candidate has strong technical depth, has managed or mentored data professionals before, and is motivated by both solving hard problems and making the people around them better.

• 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*

Commence.AI is committed to providing equal employment opportunities to all applicants, including individuals with disabilities. If you require a reasonable accommodation to participate in the application process due to a disability, please contact Human Resources at (757) 306-4920 or hr@commence.ai. Please note that unless you are requesting an accommodation, all applications must be submitted through our online application system.