Director, Finance Intelligent Automation & Controls

About the role

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. You will personally build agentic AI prototypes that accelerate core finance production workflows while establishing governable, reusable technical patterns for enterprise productionization.

Responsibilities

• 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.

Requirements

• 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.

Nice-to-have

• 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.

Benefits

• 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.

Pay

The good-faith expected salary range for this 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.

Schedule

• Work hours/week: 40
• Employment Type: Full time
• Platform: Office of the CFO
• Job Type: Regular
• Pay Type: Salaried

Location: Goldman Sachs Tower, 30 Hudson Street, Jersey City, United States of America.