Sr Staff Program Manager- AI Strategy & Governance Lead, Finance Technology

**About the Role** The AI Strategy & Governance lead for Finance will be a pivotal leader within the Finance organization, responsible for communicating and driving the adoption of our artificial intelligence strategy. This role is at the nexus of finance, technology, and strategic change, aiming to revolutionize our financial operations and decision-making capabilities. You will be responsible for articulating a comprehensive AI roadmap that transforms core finance functions—including financial planning and analysis (FP&A), accounting, finance operations, tax and compliance. A key aspect of this role is ensuring that AI-powered solutions are successfully adopted, and embraced by the entire finance team, from analysts to the executive suite. You will act as the central point of coordination for all AI initiatives within Finance, ensuring alignment with executive vision and driving measurable business value. **What the Candidate Will Do:** **Executive Communication** - Work with Finance Technology leaders to develop and communicate the comprehensive AI vision and strategy for the Finance organization, ensuring it aligns with the company's broader strategic and financial objectives. - Translate complex AI concepts and the finance AI strategy into clear, compelling narratives for executive leadership, stakeholder presentations, and company-wide communications. - Act as the primary liaison to company Gen AI Steering Committees, providing regular updates on program progress, key milestones, and strategic alignment. - Lead the AI champion forum, a cross functional team of Finance tech forward thinkers - Prepare and deliver high-impact presentations and reports on AI initiatives, program ROI, and adoption metrics to the CFO and other senior executives. - Manage all aspects of communication related to AI and digital enablement for the Finance Technology area. **Governance** - Organize and lead strategic AI in Finance meetings, including setting the vision, developing the agenda, and ensuring productive outcomes. - Coordinate all content and presentations for AI-related forums, working with internal presenters from across Finance and Technology, as well as external partners and industry experts. - Establish and manage a systematic process to source, evaluate, and prioritize AI use cases from across the Finance department, acting as the key funnel into the Finance Technology development pipeline. - Manage governance framework with executive leaders to facilitate resource and funding needs to address AI needs - Organize and meticulously track all follow-ups and action items from meetings, ensuring accountability and momentum across all AI initiatives. **Adoption & Training** - Lead the development and execution of a comprehensive Learning & Development (L&D) program to build AI literacy and proficiency across the Finance organization. - Drive the creation and curation of training content, tooling, and practical use case examples to empower finance professionals to leverage AI effectively in their daily roles. - Champion a culture of innovation and continuous improvement by designing and implementing a robust strategy to drive the adoption of new AI tools and processes. - Partner with finance leaders and managers to embed AI into team workflows, identify and overcome barriers to adoption, and celebrate successes to build momentum. **Basic Qualifications:** - Bachelor's degree in Finance, Accounting, Business, or a related field, or equivalent practical experience. - Significant experience in a strategic role within a corporate finance department or in management consulting with a focus on digital enablement and AI . - Exceptional communication, presentation, and storytelling skills, with a proven ability to influence and inspire at all levels of an organization. - Demonstrated experience leading large-scale, cross-functional programs and managing relationships with senior-level stakeholders. - AI power user with a passion for emerging technology and a strong, informed perspective on the application of AI and Gen AI in the finance domain. **Preferred Qualifications:** - Advanced degree (MBA, Master's in Finance or a related quantitative field). - Proven experience in a role focused on technology implementation, change management, or learning and development within a finance context. - Understanding of core finance processes, financial systems (e.g., ERP, EPM), and the financial data lifecycle. - Experience in a role that required collaboration with technical teams (e.g., Data Science, IT, Engineering) to deliver technology solutions. For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A). Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.