Director, Finance Intelligent Automation & Controls

Job Description WHAT IS THE OPPORTUNITY? 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. WHAT WILL YOU DO? 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. WHAT DO YOU NEED TO SUCCEED? Must have: 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 What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. 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. RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that: · Drives RBC’s high performance culture · Enables collective achievement of our strategic goals · Generates sustainable shareholder returns and above market shareholder value #LI-POST Job Skills Adaptability, Commercial Acumen, Communication, Decision Making, Group Problem Solving, Long Term Planning, Managerial Courage, Organizational Leadership, Strategic Thinking Additional Job Details Address: GOLDMAN SACHS TOWER, 30 HUDSON STREET:JERSEY CITY City: Jersey City Country: United States of America Work hours/week: 40 Employment Type: Full time Platform: OFFICE OF THE CFO Job Type: Regular Pay Type: Salaried Posted Date: 2026-07-01 Application Deadline: 2026-08-31 Note : Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at . RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.