Finance Systems AI Transformation Lead

We are looking for a Finance Systems AI Transformation Lead to join a Long-term Contract opportunity based in Menlo Park, California. This role sits at the intersection of finance and artificial intelligence, with a focus on improving planning, reporting, and close-related activities through practical automation. You will partner with finance and systems teams to turn complex operational processes into scalable AI-enabled solutions that improve accuracy, speed, and decision support.

Responsibilities:
• Design and implement AI-driven solutions that simplify core finance activities such as forecasting support, variance review, close coordination, allocation workflows, and workforce planning analysis.
• Build intelligent, multi-step automations that interpret financial information, interact with connected tools, and produce traceable outputs suitable for business use.
• Develop integrations between AI applications and enterprise finance platforms, planning systems, and data environments to support reliable information exchange.
• Create data retrieval pipelines that connect large language model capabilities with structured finance data, including reporting histories, ledger structures, cost center details, and planning records.
• Establish controls and validation methods that allow automated solutions to read, verify, and update finance-related data with consistency and audit readiness.
• Define and execute evaluation approaches to measure solution quality, including output accuracy, stability, explainability, and risk of failure in finance use cases.
• Monitor production performance, investigate issues, and refine workflows based on user feedback, testing results, and observed system behavior.
• Partner closely with finance stakeholders, financial systems teams, and technical counterparts to convert manual finance processes into scalable AI-supported operations.
• Lead user acceptance testing activities and confirm that delivered solutions meet finance, controllership, and audit expectations before broader rollout.

Qualifications:

• At least 3 years of experience developing AI, machine learning, or data-focused applications, including practical work with LLMs or agent-based solutions.
• Strong Python programming skills with experience building APIs, automations, system integrations, and data pipelines from end to end.
• Familiarity with modern frameworks or orchestration tools used to create production-ready AI applications.
• Experience working with finance organizations, financial systems, or similarly analytical business environments.
• Solid understanding of budgeting, forecasting, financial reporting, variance analysis, and related planning concepts.
• Knowledge of enterprise platforms such as ERP systems, finance applications, or data warehouses, along with structured data integration practices.
• Ability to evaluate solution performance, troubleshoot issues effectively, and improve reliability through testing and iteration.
• Experience supporting user acceptance testing and translating business needs into practical technical outcomes.

Compensation

$61.75-$71.50 Hourly

About Us

Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

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