Director, AI Transformation

Evolent

1d•$130,000 - $150,000

About The Position

Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture. About the Role The Director, AI Transformation owns the analytics AI roadmap and helps drive adoption of AI-enabled workflows across Evolent’s analytics organization. This is an enterprise-scope role focused on making AI useful, safe, and scalable across analytics teams. You will represent Analytics on the AI Governance committee, define how we evaluate and prioritize AI use cases, and lead transformation initiatives such as report automation, self-service analytics, compliance automation, and client value intelligence. A big part of success in this role is strong partnership. You will work closely with Product Analytics and Data Science to identify, implement, and measure AI use cases that improve clinical programs and specialty care offerings, with clear evidence of impact.

Requirements

Bachelor’s degree in a quantitative or healthcare-related field.
7+ years of analytics or AI experience, including 3+ years in healthcare.
Experience leading AI or automation transformation initiatives.
Strong Azure and modern data architecture experience.
Experience translating capitalization requirements into team practices.
Advanced Python and SQL skills.
Experience with Power BI and BI tooling.
Knowledge of healthcare data and analytics.
Ability to drive adoption across distributed teams.
Strong communication and people leadership skills.

Nice To Haves

Master’s degree in data science, machine learning, computer science, engineering, or public health.
Experience with Microsoft Fabric specifically (Data Factory pipelines, Lakehouse architecture, certified views).
Experience preparing materials and insights for cross-functional leadership reviews tied to specialty care or risk-based healthcare programs.
Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code for analytics environments.
Knowledge of healthcare reimbursement methodologies (DRGs, CPT codes, RVUs, APMs, bundled payments).
Experience implementing text-to-SQL or natural language querying systems against enterprise data assets.
Background in change management or organizational transformation in analytics or technology functions.
Experience partnering with data science teams on applied ML/AI use case development and deployment.

Responsibilities

Lead execution of Analytics AI strategy and roadmap and prioritize automation opportunities across analytics teams.
Lead delivery of AI transformation initiatives including automation, self-service tools, compliance reporting, and client value intelligence.
Partner with Product Analytics and Data Science to identify and implement meaningful AI use cases.
Measure effectiveness through KPIs tied to outcomes, efficiency, and cost.
Translate ASC 350-40 into a practical way to track development work so Finance can apply capitalization rules.
Design and implement the consolidated data layer using Microsoft Fabric.
Enable access to platforms such as Azure OpenAI, DevOps, and Power BI APIs.
Build Copilot adoption programs and prompt playbooks for analysts.
Create intake models that route standard requests to self-service tools first.
Quantify ROI through time savings, capacity freed, and effectiveness gains.
Manage and develop a team of automation analysts and developers.