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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Finance Intelligent Automation & Controls - **Company:** Royal Bank of Canada - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Salary:** $160,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Governance, Decision Support Systems, Python (Programming Language), Machine Learning, Meta-Data Management, Cloud Services, SQL Databases, Workflow Management Systems, Retrieval-Augmented Generation, Large Language Models, Agentic-AI, Data Layers, Information Technology - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/director-finance-intelligent-automation-controls-jersey-city-nj--beb0b40c-25fe-4ef5-b822-6af118a8973d ## About the Role Finance, Automation, Head of Finance, Automation, Finance, Prototyping, Financial Planning and Analysis (FP&A), Regulatory Reports, Financial Control, Product Control, * 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, Adaptability, Commercial Acumen, Communication, Decision Making, Group Problem Solving, Long Term Planning, Managerial Courage, Organizational Leadership, Strategic Thinking ## Description 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.