STAFF RISK OPERATIONS PROCESS EXCELLENCE CONSULTANT
Operations
Multiple locations
STAFF RISK OPERATIONS PROCESS EXCELLENCE CONSULTANT
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Come join Intuit as a Staff Risk Operations Process Excellence Consultant on the Operational Excellence Team. This is a staff individual contributor role for a process excellence leader who can identify, design, and drive AI-powered solutions that transform how Risk Operations works. You'll operate at the intersection of process excellence, applied AI, and operational strategy — identifying the highest-leverage opportunities across Underwriting, Fraud, Disputes, Collections, and Compliance, then partnering with engineering to design and deploy the AI tools, agents, and workflows that capture them. You'll drive a portfolio of 8–10 projects including multi-year initiatives, shape the AI roadmap for the department, and influence how Risk Ops scales through AI.
Responsibilities
• AI Solution Design: Design end-to-end AI solutions for enterprise risk operations — agents, multi-step LLM workflows, RAG systems, and human-in-the-loop tooling — that materially change how reviews, decisions, and casework get done across multiple product types. Translate operational problems AI solutions that Product & Engineering can productionize.
• Portfolio Ownership: Drive 8–10 concurrent projects including multi-year initiatives, without need for continuous manager intervention, while achieving optimal and timely results aligned to strategic goals. Sequence quick wins against strategic bets and make tradeoffs explicit to leadership.
• Process & Workflow Redesign: Apply DMAIC and Six Sigma lean principles to re-architect end-to-end workflows where AI unlocks step-change improvements — not just incremental automation of existing steps. Identify opportunities for process change or system improvement across the entire risk organization.
• Engineering & Product Partnership: Serve as the operations-side counterpart to Eng/Product partners. Translate AI solution designs into clear requirements, weigh build-vs-buy, and influence platform decisions for AI tooling. Hold a credible technical conversation with engineers without being one.
• Responsible AI & Governance: Embed model risk, evals, guardrails, and compliance review into every deployment. Partner with Compliance/Legal on governance frameworks for AI in regulated workflows (BSA/AML, Reg E, NACHA).
• Strategic Communication: Translate complex AI solution tradeoffs and operational impact into exec-ready narratives. Build data-backed business cases that quantify impact and justify investment in AI infrastructure.
• Influence & Mentorship: Hold yourself accountable to gathering resources and influencing partners on the importance of your work. Take time to teach and mentor others within the department to broaden their skills and develop their risk, business, and AI acumen.
• Change Management & Adoption: Lead adoption strategy for AI tools across ~400 operators in 4 locations — training, measurement, and iteration based on real-world performance data.
Qualifications
Process Excellence
• Proficient in DMAIC (Define, Measure, Analyze, Improve, Control) and Six Sigma lean principles. Green Belt certification or equivalent experience required; Black Belt preferred.
• Proven ability to drive a portfolio of 8–10 projects including multi-year initiatives without continuous manager intervention.
• Track record of identifying opportunities for process change or system improvement across an entire organization, not just within a single function.
Risk Business Acumen
• Deep understanding of how a successful business operates, including the complexities of money movement, risk, and finance.
• Strong grasp of industry best practices, trends, and regulations across fintech risk operations (BSA/AML, Reg E, NACHA, CFPB, KYC, fraud typologies, chargebacks/disputes).
• 7+ years of experience leading operational, process excellence, or AI/automation initiatives in fintech or financial services.
AI Fluency & Solution Design
• Strong working knowledge of modern AI capabilities — LLMs, agents, RAG, evals, prompt design, tool use, human-in-the-loop patterns — sufficient to scope use cases, design solutions, and partner credibly with engineers.
• Track record of identifying high-leverage AI opportunities in operational workflows and translating them into concrete solution designs (not just ideas).
• Judgment on what makes AI solutions work in regulated, high-stakes environments — when to trust the model, when to add a human checkpoint, where the failure modes are, what "production-ready" means in a compliance context.
• Hands-on enough with AI tools that you've designed and iterated on your own prompts and workflows. You don't need to be an engineer, but you need to have actually used these systems deeply, not just talked about them.
Extreme Ownership
• Insatiable curiosity about the finance and technology industry, AI advancements, and global risk concerns. Continuously strives to learn and apply new capabilities.
• Takes immediate ownership of work and projects; escalates to leadership only when necessary.
• Holds self accountable for outcomes and for influencing partners on the importance of the work.
Executive Presence
• Masterful verbal, written, and presentation skills. Comfortable distilling complex AI solution design and process work into impactful summaries for executives.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: