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Data & AI Enablement Lead

Data Analyst Full-time Permanent United States

Job details

$142,300 - $195,700 per year Salary
United States Eligibility
Lead Experience
Full-time Employment

About this role

Role overview

Shape data and AI priorities by partnering with finance, technology, and other business teams. This individual contributor guides opportunities from initial discovery through implementation and ongoing monitoring, helping teams turn business needs into useful analytics and AI solutions while addressing governance, risk, and responsible use.

Responsibilities - Work with business and technology leaders to set AI priorities, identify capability gaps, and connect roadmaps and investments to measurable outcomes. - Lead intake discussions and workshops to assess potential use cases for value, feasibility, data readiness, risk, and scalability. - Help establish AI governance practices, including decision rights, review steps, documentation, and lifecycle controls. - Coordinate risk reviews with legal, compliance, privacy, security, and data governance partners, covering topics such as bias, explainability, data quality, and regulatory considerations. - Provide technical direction for designing, testing, validating, implementing, and monitoring analytics, machine learning, and generative AI solutions. - Develop adoption guidance, training, and reusable materials; communicate findings and recommendations clearly to technical and business audiences.

Requirements - Bachelor’s degree with at least five years of analytics experience, or a master’s degree with at least three years. - Experience partnering directly with business stakeholders to define problems, evaluate opportunities, and recommend actions. - Experience leading work across the analytics or AI lifecycle, from intake and discovery through development, insight communication, and implementation support. - Experience with SQL, Power BI, Databricks, Python, or comparable tools. - Ability to translate technical concepts and risks into clear recommendations for varied audiences.

Nice to have - Advanced degree in analytics, informatics, statistics, computer science, data science, or a related field. - Experience in financial analytics, business intelligence, or AI informatics, particularly with finance, claims, pharmacy, payer, provider, sales, or operational data. - Experience presenting recommendations to senior leaders and cross-functional groups.

Benefits and work setup - Remote role with a 40-hour weekly schedule. A dedicated workspace that protects sensitive member information is required; home internet must provide at least 25 Mbps download and 10 Mbps upload. Occasional office travel may be required. - Advertised annual base pay range is $142,300–$195,700, varying by location and qualifications; the role is eligible for a performance-based bonus. - Benefits include medical, dental, and vision coverage, 401(k), paid time off and holidays, parental and caregiver leave, disability coverage, and life insurance.

Skills detected in the listing

PythonSQLPower BIBusiness IntelligenceStakeholder ManagementMachine Learning
Detected Nov 11, 2026
Last verified Nov 12, 2026

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