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# Director AI Finance Transformation

- **Company:** Highmark Inc.
- **Location:** Albany, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $156,200.0 - $259,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Enterprise Software Applications, Information Technology, Data Analytics, Data Management
- **Published:** November 7, 2026
- **Apply:** https://dejobs.org/x/x/8BA538B012404EA08DDD271FAA252759/job/

## About the Role

* 7 Years of Experience in finance, consulting, digital transformation, and/or AI enabled initiatives., * Demonstrated ability to lead through influence in complex, matrixed environments
 * Strong business judgement and the 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., * Bachelor's degree in Business Administration, Finance, Accounting, Information Technology or related field or relevant experience and/or education as determined by the company in lieu of bachelor's degree.

## Description

The Director of AI Finance Transformation is responsible for defining and executing the enterprise's AI strategy for Finance and leading the transformation of finance processes it enables. The incumbent identifies, prioritizes, builds, and scales AI and automation use cases on governed finance data, establishes the governance and controls under which they operate, and drives the process redesign and adoption required to convert capability into measurable value., * AI Strategy & Roadmap for Finance:

 * Develop, articulate, and execute the AI strategy and multi-year roadmap for the finance organization, aligned to the enterprise finance technology strategy and enterprise AI direction.
 * Build and maintain the finance AI use case portfolio: intake, business case, prioritization, sequencing, and stage-gating from concept through pilot, production, and scale.
 * Partner with Enterprise Technology, Data Management, and Architecture to ensure finance AI is built on approved platforms and governed data rather than as standalone solutions.
 * Manage relationships with AI and automation vendors and consulting partners; evaluate build-versus-buy and challenge tooling that duplicates internal capability.
 * Stay current on AI capability in finance and translate it into practical, prioritized opportunity for the enterprise.
 * Delivery, Governance & Controls:
 * Lead the development, testing, implementation, adoption, and scaling of AI use cases for finance with appropriate governance.
 * Establish the finance AI operating model and governance framework: role clarity between human judgment and AI augmentation, validation requirements, source and evidence standards, model monitoring, and the conditions under which output may be used in decisions or leadership materials.
 * Ensure no unvalidated AI output flows into financial reporting, forecasts, or executive communication; humans own conclusions and accountability.
 * Define and track key performance indicators for adoption, cycle time, quality, and realized value; report progress and risk to finance leadership.
 * Ensure the integrity, security, and accuracy of data and models used in finance AI, and compliance with all relevant laws, regulations, and standards related to AI, finance technology, and data privacy.
 * Finance Process Transformation & Adoption:
 * Lead the redesign of finance processes enabled by AI and automation across close and accounting, planning and forecasting, reporting and analysis, and finance operations.
 * Drive a culture of continuous improvement, identifying opportunities to automate manual work, strengthen data analytics, and improve efficiency within the finance function.
 * Build finance capability and AI literacy through training, playbooks, standards, and hands-on enablement so teams can use and explain the tools they operate.
 * Partner with business unit finance and cross-functional teams to secure adoption, measure benefit realization, and sustain change after deployment.
 * Support the AI and automation components of affiliation integration work as applicable.
 * Other duties as assigned or requested.