Director, Finance Intelligent Automation & Controls

RBC•Jersey City, NJ

1d•$160,000 - $260,000•Onsite

About The Position

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.

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 Haves

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

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.