Director, Finance Transformation & AI

ADP•Miami, FL

2d•Hybrid

About The Position

ADP is hiring a Director, Finance Transformation & AI to build the next generation of Finance and Revenue Management capabilities across HRO. This highly visible role focuses on solving high-impact business and commercial problems, developing analytics and decision capabilities, and reimagining Finance work through AI, automation, data, and modern technology. The Director will identify opportunities to improve Finance processes, prototype solutions, and help turn ideas into measurable business outcomes. The work spans strategy, analytics, transformation, and technology. The role partners with senior Finance and business leaders and with Finance Systems, Data & Analytics, Engineering, Automation, Global Product & Technology, and broader enterprise transformation teams. Success requires navigating ambiguity, influencing stakeholders, and translating complex business challenges into practical solutions that can scale across the organization.

Requirements

10+ years of demonstrated experience leading transformation initiatives, influencing senior stakeholders, driving cross-functional execution, and delivering measurable business outcomes in large, matrixed organizations.
Experience leading Finance transformation initiatives or broader business transformation efforts supporting Finance organizations, including modernizing processes, improving decision-making, and enhancing Finance team operations.
Experience leveraging AI, SQL, analytics, automation, and modern technologies to identify opportunities, prototype solutions, and drive business outcomes.
Demonstrated knowledge of Finance processes, including planning, forecasting, pricing, profitability, reporting, analytics, decision support, and billing.
Ability to influence senior stakeholders, serve as a trusted advisor to Finance and business leaders, connect business needs with practical scalable solutions, navigate ambiguity, and communicate across organizational levels.
Hands-on experience personally designing, prototyping, or implementing data- or technology-enabled solutions and moving ideas from concept to proof of value.
Strong SQL skills and analytical capabilities, including using SQL to access, manipulate, analyze, and explore data for business problem solving and solution development.
Practical Python experience or the ability to quickly develop Python proficiency.
Understanding of how AI, automation, and emerging technologies can improve Finance processes, enhance decision-making, and create scalable business solutions.
Understanding of technology-enabled solution development and the ability to partner with technical teams, translate business requirements into solution designs, guide development, and move concepts into production-ready capabilities.
Strong understanding of APIs, systems integration, and modern technology environments, with the ability to engage credibly with engineering and architecture teams.
Strong strategic problem-solving capabilities, including structuring ambiguous problems, evaluating alternatives and investments, identifying opportunities, and driving cross-functional initiatives with measurable outcomes.
Bachelor's degree in Business, Finance, Engineering, Computer Science, Information Systems, Data/Analytics, a relevant field, or equivalent.

Nice To Haves

Experience in strategy, management, technology, digital, or Finance transformation consulting and/or direct experience in a Finance or Revenue Management organization.
Experience within PEO, HCM, payroll, HR technology, business services, or another complex, data-intensive services environment.
MBA or relevant master's degree in Business, Finance, Business Analytics, Data & Analytics, Information Systems, or a related field.

Responsibilities

Lead structured analyses and strategic work addressing commercial questions such as customer targeting, pricing, profitability, investment economics, acquisition returns, and business performance.
Build Finance and Revenue Management capabilities and approaches for planning, forecasting, pricing, book management, profitability, commercial analytics, reporting, and decision support.
Identify processes, workflows, and decisions that can be redesigned using better data, automation, AI, and modern technology.
Personally develop and prototype analytics, applications, AI and GenAI solutions, agents, workflows, automation, and decision-support tools using SQL, Python, enterprise data, APIs, and modern technologies.
Evaluate emerging AI, data, automation, and technology capabilities and translate them into practical Finance and Revenue Management applications.
Partner with Finance Systems, Engineering, Data & Analytics, Automation, and Technology teams to define requirements, integrate solutions with the enterprise environment, and move validated prototypes into secure, reliable, production-ready capabilities.
Identify high-value opportunities, develop business cases, assess feasibility and investment requirements, and help prioritize the transformation roadmap and resource allocation.
Lead priority initiatives from problem definition and analysis through design, implementation, adoption, and measurement, coordinating business and technical teams.
Define success measures, evaluate financial and operational impact, and use results to determine whether capabilities should scale, improve, or stop.
Advise senior leaders on Finance, Revenue Management, analytics, transformation, and emerging technology, connecting HRO priorities with broader Finance and enterprise capabilities.