Director, Finance Intelligent Automation & Controls

The Director, Finance Intelligent Automation & Controls within the Office of the US CFO will own the prototype-to-pilot pipeline for AI-enabled transformation across Regulatory Reporting, Financial Control, Product Control, and FP&A, personally building agentic AI prototypes that accelerate core finance production workflows while establishing governable, reusable technical patterns for enterprise productionization.

- Shape and execute the multi-year Finance AI roadmap across data, automation, AI, reporting, and workflow optimization - sequenced by addressable value and business impact rather than technology novelty - Identify high-value AI use cases and personally build the first working agentic AI prototype against core production workflows (data sourcing, reconciliation, report production, variance commentary, review stack, inquiry response) - Establish and track value-realization metrics including productivity gains, cycle-time reduction, reporting quality improvements, and decision support effectiveness - Define the prototype-to-pilot hand-off pattern and technical standards that Technology teams will adopt to productionize solutions for enterprise scale - Design for governance, audit, controls, and compliance from inception - establishing patterns for evaluation, human-in-the-loop approval, audit trails, and knowledge grounding across all solutions - Partner with Technology and Data teams to identify and improve Finance data assets, quality, lineage, and accessibility to unblock AI delivery - Build and sustain US Finance AI Academy - a structured upskilling program with communities of practice, adoption initiatives, and measurable outcomes across the Finance function - Lead stakeholder management with senior Finance leadership, CFO organization, and global Technology/Data teams to influence design decisions and align priorities on investment - Track emerging AI capability and maintain forward-looking adoption view, evaluating generative AI and agentic AI solutions without chasing tooling for its own sake - Ensure every solution meets enterprise requirements for security, controls, compliance, audit, and resilience while applying agile delivery discipline - Work in a fast-paced environment and prioritize work to meet deadlines. - Provide thought leadership and work independently, while demonstrating strong attention to details. - Perform additional responsibilities as requested to achieve business objectives.

- Bachelor's degree in Finance, Computer Science, Engineering, or related field; MBA or advanced technical credential preferred - Minimum 12 years of progressive experience in Finance, with at least 5 years in senior leadership roles at a major financial institution - Deep domain expertise across Regulatory Reporting, Financial Control, Product Control, or FP&A, demonstrating understanding of how financial numbers are produced, reviewed, and challenged - Demonstrated hands-on AI/ML delivery experience: personally built and shipped LLM-based or agentic solutions in production environments (not sponsorship or oversight alone) - Strong judgment in designing solutions for governance, audit, and controls from inception, with ability to discern genuinely solvable problems within current AI constraints - Senior-level executive communication and credibility - capable of operating with direct CFO and ExCo visibility while influencing cross-functional decisions - Proven builder's bias: comfortable producing working prototypes in days, iterating in front of stakeholders, and translating between domain and technical teams - Technical fluency sufficient to direct (not necessarily build) modern AI/data stacks: Python, SQL, RAG and agentic frameworks, vector stores, cloud data platforms, and workflow orchestration - Experience driving measurable adoption and change management at scale within complex, regulated environments

- Capital markets product knowledge spanning rates, credit, equities, FX, and derivatives with familiarity to the trade lifecycle - Foundational understanding of machine learning concepts sufficient to direct and evaluate model-based work - Experience standing up upskilling programs, communities of practice, or capability centers within large Finance or Technology organizations - Exposure to enterprise data governance, semantic layers, and metadata management frameworks

- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable - Leaders who support your development through coaching and managing opportunities - Ability to make a difference and lasting impact - Work in a dynamic, collaborative, progressive, and high-performing team - A world-class training program in financial services - Flexible work/life balance options - Opportunities to do challenging work

The good-faith expected salary range for the above position is $160,000 - $260,000 depending on factors including but not limited to the candidate's experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

• Generates sustainable shareholder returns and above market shareholder value

Job Skills Adaptability, Commercial Acumen, Communication, Decision Making, Group Problem Solving, Long Term Planning, Managerial Courage, Organizational Leadership, Strategic Thinking

2026-08-31 Note : Applications will be accepted until 11:59 PM on the day prior to the application deadline date above