Director AI Finance Transformation

Highmark Health•Washington, NV

2d•$156,200 - $259,600

About The Position

The Director of AI Finance Transformation defines and executes the enterprise AI strategy for Finance and leads the transformation of finance processes enabled by AI. The role identifies, prioritizes, builds, and scales AI and automation use cases using governed finance data; establishes governance and controls; and drives process redesign and adoption to achieve measurable value. The Director develops the Finance AI strategy and multi-year roadmap, manages the use-case portfolio from intake through production and scale, and partners with Enterprise Technology, Data Management, and Architecture to use approved platforms and governed data. The role also manages vendor and consulting relationships, evaluates build-versus-buy options, and identifies practical opportunities from evolving AI capabilities. The position leads AI use-case development, testing, implementation, adoption, and scaling, while establishing an operating model and governance framework. It ensures that AI outputs are validated before use in financial reporting, forecasts, or executive communications, with people retaining responsibility for conclusions and accountability. The Director also tracks adoption, cycle time, quality, and realized value, and ensures the integrity, security, and accuracy of finance AI data and models and compliance with relevant requirements. The role leads AI-enabled redesign across close and accounting, planning and forecasting, reporting and analysis, and finance operations. It builds finance AI capability through training and enablement, partners with business unit finance and cross-functional teams to support adoption and sustained change, and supports AI and automation elements of affiliation integration work as applicable. This is an office-based or remote position; a physical work site is required frequently. Travel is listed as 0%–25%.

Requirements

At least 7 years of experience in finance, consulting, digital transformation, and/or AI-enabled initiatives.
Bachelor’s degree in Business Administration, Finance, Accounting, Information Technology, or a related field, or relevant experience and/or education as determined by the company in lieu of a bachelor’s degree.
Demonstrated ability to lead through influence in complex, matrixed environments.
Strong business judgment and ability to connect analytical and AI-driven work to enterprise outcomes.
Proven ability to lead and influence cross-functional initiatives, resolve systemic issues, and drive results through collaboration and strategic partnership.

Responsibilities

Develop, articulate, and execute the Finance AI strategy and multi-year roadmap aligned with enterprise finance technology and AI direction.
Build and maintain the Finance AI use-case portfolio, including intake, business cases, prioritization, sequencing, and stage-gating from concept through pilot, production, and scale.
Partner with Enterprise Technology, Data Management, and Architecture to ensure Finance AI uses approved platforms and governed data.
Manage AI and automation vendor and consulting relationships; evaluate build-versus-buy options and challenge tools that duplicate internal capabilities.
Monitor AI developments in Finance and translate them into practical, prioritized opportunities.
Lead the development, testing, implementation, adoption, and scaling of Finance AI use cases with appropriate governance.
Establish the Finance AI operating model and governance framework, including human and AI roles, validation requirements, source and evidence standards, model monitoring, and conditions for using outputs in decisions or leadership materials.
Ensure unvalidated AI output is not used in financial reporting, forecasts, or executive communications, and that humans own conclusions and accountability.
Define and track KPIs for adoption, cycle time, quality, and realized value; report progress and risks to Finance leadership.
Ensure the integrity, security, and accuracy of data and models used in Finance AI and compliance with relevant laws, regulations, and standards.
Lead AI- and automation-enabled redesign of finance processes across close and accounting, planning and forecasting, reporting and analysis, and finance operations.
Identify opportunities to automate manual work, strengthen data analytics, and improve Finance efficiency.
Build finance capability and AI literacy through training, playbooks, standards, and hands-on enablement.
Partner with business unit Finance and cross-functional teams to secure adoption, measure benefits, and sustain change after deployment.
Support AI and automation components of affiliation integration work as applicable.
Perform other duties as assigned or requested.