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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.

Lead the design, development, and deployment of scalable software solutions, including APIs and microservices. Collaborate with product, UX, and engineering teams; conduct code reviews; mentor junior engineers; improve automation, testing, and CI/CD; troubleshoot production issues; and guide technical architecture. The role requires strong software development, cloud, database, communication, and problem-solving expertise, with healthcare data and HL7 FHIR experience preferred.

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.

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.

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.

Design, build, and maintain scalable backend services and data pipelines for healthcare solutions using Python and Azure. Develop API-based integrations, ETL workflows, and optimize SQL/stored procedures. Collaborate in Agile teams on architecture, CI/CD, testing, and performance tuning to support analytics and operational workflows.

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.