Director AI Finance Transformation

Highmark Health•Carolina, PA

About The Position

The Director of AI Finance Transformation defines and executes the enterprise’s 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 deliver measurable value. The Director develops a multi-year finance AI roadmap aligned with enterprise finance technology and AI strategies, manages a portfolio of use cases 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 relationships with AI and automation vendors and consulting partners, evaluates build-versus-buy decisions, and tracks developments in AI capabilities relevant to Finance. The position leads the development, testing, implementation, adoption, and scaling of finance AI use cases. It establishes the finance AI operating model and governance framework, including human accountability, validation, evidence standards, model monitoring, and appropriate use of AI outputs. It tracks adoption, cycle time, quality, and realized value, reports progress and risk to finance leadership, and ensures the integrity, security, and accuracy of data and models, along with compliance with relevant laws, regulations, and standards. The Director leads AI-enabled redesign across close and accounting, planning and forecasting, reporting and analysis, and finance operations. The role builds finance AI capability through training, playbooks, standards, and hands-on enablement; partners with business unit finance and cross-functional teams to achieve adoption and sustain change; and supports AI and automation components of affiliation integration work as applicable.

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 strategies.
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 partner relationships; evaluate build-versus-buy decisions and avoid duplicative tooling.
Monitor AI capabilities relevant to Finance and translate them into practical, prioritized opportunities.
Lead 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 permissible use of outputs.
Prevent unvalidated AI output from flowing into financial reporting, forecasts, or executive communications; ensure humans retain ownership of conclusions and accountability.
Define and track KPIs for adoption, cycle time, quality, and realized value, and report progress and risk to finance leadership.
Ensure the integrity, security, and accuracy of data and models used in finance AI, and compliance with applicable laws, regulations, and standards.
Lead AI- and automation-enabled redesign of close and accounting, planning and forecasting, reporting and analysis, and finance operations.
Promote continuous improvement, automation of manual work, stronger data analytics, and greater finance-function 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.