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What will you do?
A day in the life of a Senior Manager, AI Enablement Enterprise FP&A at VF looks a little like this.
AI Project Execution and Delivery
- Execute AI projects prioritized by the VP, Enterprise FP&A and finance leadership, owning delivery from requirements through deployment and adoption
- Translate FP&A business problems into clear solution requirements, scope, and success measures, and manage each project to committed timelines
- Partner with DT on architecture, data access, integration, security review, and the path from prototype to supported production solution
- Manage project workstreams across planning, forecasting, variance analysis, management reporting, and business partnering use cases
- Provide regular status updates on progress, risks, dependencies, and decisions required, escalating issues promptly
- Measure and report realized results after deployment, and recommend where solutions should be extended, adjusted, or retired
Solution Design and Hands-On Build
- Design and build working prototypes that demonstrate value quickly, including AI-assisted analysis, narrative generation, document and data extraction, and agentic workflows
- Test and validate AI outputs, including accuracy checks, benchmarking against current process baselines, and ongoing performance monitoring
- Develop and maintain prompt libraries, reusable components, and process documentation so solutions can be extended by others
- Troubleshoot issues with deployed solutions and coordinate resolution with DT and vendors as required
Capability Sharing and Team Enablement
- Build AI literacy across Enterprise FP&A through training sessions, office hours, playbooks, demonstrations, and hands-on coaching tailored to finance workflows
- Share new tools, techniques, and practical use cases with the team as capabilities evolve, translating what is possible into what is useful for FP&A
- Cultivate and support a network of champions and power users across brands and regions to extend capability beyond a single individual
- Drive adoption of deployed solutions, monitoring usage, gathering feedback, and addressing capability gaps and resistance
- Communicate wins, lessons learned, and practical guidance to finance leadership and teams in clear, non-technical terms
Governance Adherence and Data Readiness
- Deliver all solutions in compliance with VF AI usage standards, information security requirements, and internal control expectations
- Apply required human-in-the-loop review protocols and maintain documentation and audit trails for AI-assisted outputs used in reporting
- Surface risks encountered during delivery, including data privacy, confidentiality, model accuracy, and over-reliance, to DT, Internal Controls, and finance leadership
- Identify where data quality, structure, or access limits what AI can deliver, and partner with the appropriate owners on remediation
What do you need to succeed?
We all have unique skills that we bring to work and celebrate every day. For this role, there are foundation skills you'll need to succeed and excel. Additionally, while formal education in a related field is great to have, we are most interested in your 7+ years of experience and professional achievements.
The foundation skills you will need in this position are:
- Bachelor's degree in Finance, Accounting, Business, Data Science, Information Systems, or a related field preferred
- Seven or more years of progressive experience in FP&A, finance transformation, finance systems, or analytics, with demonstrated depth in leveraging technology (specifically AI) to improve processes; demonstrated capability is weighted more heavily than years of experience
- Strong working knowledge of core FP&A processes, including budgeting, forecasting, long range planning, and management reporting
- Hands-on experience building with generative AI, including prompt engineering, retrieval-augmented app