US Deal Excellence - Deal Intelligence, Analytics, and Modernization - Finance Manager
Visa · CA - Toronto, Canada · Manager · 6-3 yrs · first seen 2026-10-20
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About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description The US Deal Finance team is a function in Finance responsible for providing financial analysis and deal pricing expertise to compete for client brand decisions. The team is responsible for providing deal support for Visa’s largest book of business globally. This includes end-to-end deal execution in collaboration with various stakeholders and cross-functional teams. The team is critical to delivering against Visa's revenue and business objectives and is highly visible to executive leadership. US Deal Excellence improves the quality, speed, and scalability of deal decision-making and execution across the US Deal Team. The team develops insights, processes, governance, digital capabilities, and reusable knowledge that help deal professionals make better decisions, reduce avoidable work, and continuously improve performance across the deal lifecycle. The Finance Manager will lead initiatives that improve deal analysis, decision support, workflows, governance, and operating performance across the US Deal Team. This role will translate complex financial and business needs into actionable insights, improved processes, and practical technology solutions. The successful candidate will combine strong Finance judgment and analytical skill with the ability to lead transformation, influence cross-functional partners, and move new capabilities from concept into sustained use. Essential Functions: Deal Intelligence, Analytics, and Deal Quality Develop deal and portfolio intelligence that connects financial, commercial, and performance signals to surface material risks, opportunities, and actions. Evaluate deal economics, strategic rationale, alternatives, commitments, and expected performance to improve deal quality and commercial outcomes. Translate deal experience, performance evidence, and market context into reusable insights and frameworks that strengthen decision quality at scale. Deal Desk Modernization Redesign deal intake, qualification, modeling, approval, execution, and performance workflows to create a simpler and more scalable operating model. Translate business needs into clear requirements, improved processes, and practical capabilities. Represent North America requirements in Global and enterprise transformation efforts to ensure solutions are usable and regionally relevant. AI, Automation, and Digital Enablement Apply automation, AI, and agent-based solutions to improve decision making, streamline reporting and workflows, and reduce avoidable manual work. Lead controlled design, validation, implementation, and benefit measurement across deterministic controls, intelligent assistance, and human judgment. Drive adoption through clear communication, training, support, feedback, and sustainable ownership. Deal Governance and Operations Strengthen deal governance through clear decision rights, documentation, escalation paths, and accountability. Improve the reliability and scalability of recurring deal operations, data flows, reporting processes, and knowledge practices. This position is a Hybrid role to be based in our Toronto, Canada location. In-office expectations will be confirmed through the approved requisition process. 
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5 or more years of work experience with a Bachelor’s Degree or at least 3 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD). Experience creating and managing integrated workflows across Microsoft 365, including SharePoint, Power Automate, Power BI, Copilot, and Copilot Studio. Strong financial analysis and problem-solving skills, with the ability to evaluate deal economics, risks, alternatives, and commercial tradeoffs. Practical experience applying analytics, automation, or AI-enabled workflows to Finance or commercial problems. Preferred Qualifications: 6 or more years of relevant work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD. Experience in financial services, payments, deal finance, analytics, or finance transformation. Experience leading cross-functional process, workflow, governance, or operating-model improvements from problem definition through adoption. Able to challenge assumptions, separate facts from interpretation, and communicate data limitations and uncertainty clearly. Experience with validation, readiness assessment, deployment, change enablement, or benefits measurement. Demonstrated ability to influence stakeholders, create clarity across competing priorities, and bring structure to ambiguity. Experience with advanced AI tools and platforms, SQL, Python, or comparable technologies is beneficial. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa welcome and encourages application from persons with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.