Jobs at Evolent Health

Manages provider experience strategy and execution, driving provider satisfaction, digital platform adoption, practice performance, and client outcomes. Partners with cross-functional teams and provider stakeholders to remove friction, standardize training and support, address practice issues, develop oncology education content, and monitor product usage, engagement metrics, dashboards, and KPIs. Requires provider engagement experience, healthcare knowledge, analytical and communication skills, operational discipline, and up to 10% travel.

Perform complex analyses of healthcare claims, utilization, and membership data using SQL, PowerBI, and Excel. Build and maintain reports, dashboards, and actuarial/financial models to support gainshare/ROI arrangements. Collaborate with internal teams and clients to translate business questions into data-driven insights, automate reporting, QA outputs, and present findings to non-technical stakeholders.

Analyzes healthcare claims, eligibility, pharmacy, and cost data to support capitated risk underwriting, financial arrangement design, value modeling, and medical cost management. Develops analytical models, validates raw claims data, identifies actionable insights, creates customer-ready visualizations, and communicates recommendations to internal and external stakeholders. The role requires healthcare analytics experience, SQL or SAS proficiency, advanced Excel skills, and familiarity with reimbursement methodologies and value-based care.

Leads engineering teams building and operating Evolent’s enterprise AI platform, including document pipelines, event-driven architecture, and agentic user interfaces. Responsibilities include forming and scaling teams, recruiting leaders and engineers, delivering enterprise software, establishing technical standards, partnering on architecture and security, and ensuring production readiness, compliance, observability, and responsible AI practices. The role also shapes strategy, drives AI-enabled engineering workflows, and represents platform engineering in executive discussions.

Analyze healthcare claims, eligibility, pharmacy, and cost data to support capitated risk proposals, financial arrangements, value models, and business development. Develop and validate analytical tools, process raw claims data, identify actionable insights, create customer-ready visualizations, and communicate findings to diverse stakeholders. The role also facilitates customer interactions and supports medical cost management and new product initiatives.

Manage financial analytics supporting monthly close, including IBNR calculations, reporting dashboards, claims and membership data, forecasting assumptions, statistical analysis, and analytic models. Deliver ad hoc insights for leadership, improve reporting processes, and ensure accurate, high-quality deliverables while managing competing deadlines. The role requires strong Excel-based data analysis and may involve PowerQuery, Power BI, VBA, SQL, and healthcare claims data.

Leads risk analytics for capitated and value-based healthcare partnerships. Manages analytics teams, evaluates financial and quality performance, conducts claims-based modeling and reconciliations, develops forecasts and dashboards, identifies utilization and cost trends, and presents actionable insights to executives and clients. Partners with finance, actuarial, product, and account management teams while mentoring staff and improving analytical processes.

Own the strategy, roadmap, governance, and adoption of Evolent’s enterprise AI platform. Lead product managers and collaborate with architects, engineers, data scientists, clinical leaders, and executives to build and scale AI-enabled solutions. Translate business needs into product specifications, oversee launches, establish KPIs, sponsor GenAI pilots, prioritize model and platform investments, and ensure compliance with healthcare regulations. The role also requires market research, stakeholder presentations, cross-functional collaboration, and oversight of complex software product portfolios.

Own the enterprise AI platform product vision, strategy, roadmap, governance, and portfolio prioritization. Lead product, engineering, and data science teams in developing and scaling AI capabilities, including proof-of-concepts, GenAI initiatives, model monitoring, responsible AI, and commercialization. Translate customer and business needs into product requirements, manage the full lifecycle, establish KPIs, allocate budgets, and collaborate with executives and cross-functional stakeholders. Healthcare technology experience and knowledge of healthcare compliance are important.

Lead enterprise AI transformation initiatives from strategy through deployment and adoption. Manage cross-functional workstreams, governance, risks, dependencies, KPIs, and value realization. Develop human-AI operating models, workforce readiness plans, training, stakeholder communications, and responsible AI governance. Align clinical, operational, product, engineering, and data science teams while driving sustainable adoption and measurable business outcomes.

Develops, customizes, and maintains clinical correspondence templates to meet healthcare regulatory, accreditation, contractual, and company requirements. Coordinates Compliance approvals, oversees correspondence use across products, researches state regulations, resolves complex issues with internal and external stakeholders, and collaborates with IT on letter generation. The role requires healthcare industry and utilization management compliance experience, strong analytical, organizational, research, communication, and consultation skills.

Lead HRIS Analyst maintains and enhances Workday HCM, configures business processes, develops custom reports, manages security, troubleshoots issues, gathers requirements, drives releases, documents changes, and mentors team members to deliver scalable HR solutions.

Provide physician review of oncology cases, conduct peer-to-peer discussions, support practice transformation and value-based initiatives, collaborate on clinical algorithms and audits, ensure URAC/NCQA compliance, and mentor clinical reviewers to improve care quality and reduce unwarranted variation.

Manage the full SaaS application lifecycle with emphasis on Atlassian platforms and AI-driven automations. Optimize configuration, security, governance, integrations (ITSM/IAM/ITAM), scripting (Python/PowerShell/REST APIs), compliance (SOC2/HIPAA), vendor engagement, reporting, and user support. Mentor team members and drive adoption of intelligent workflows and predictive insights.