About the Role
The P2P organization is undergoing a critical digital transformation to enhance efficiency, compliance, and scale. We are seeking a highly technical and strategic Technical Solution Manager to spearhead this shift. This role will focus on defining, implementing, and governing advanced technical solutions, including process automation, citizen developer platforms, and Generative AI (GenAI) capabilities, to transform the global Procure-to-Pay (P2P) lifecycle. This position requires a leader who is technically savvy and deeply familiar with cutting-edge technology to drive the \"AI-Tech Citizen Developer\" movement within FinOps-P2P.
What the Candidate Will Do
- Lead Digital Transformation: Define the technical roadmap and architecture for P2P digital transformation initiatives, focusing on leveraging low-code/no-code platforms and GenAI for substantial process automation.
- Citizen Developer Platform Ownership: Drive the strategy, adoption, and governance of the citizen developer tech stack (e.g., Microsoft Power Apps, Power Automate, Google AppSheet, and Google Apps Script) to create scalable solutions and integrations.
- GenAI Implementation: Identify, prioritize, and deploy high-impact use cases for Generative AI, including leveraging tools like Google Vertex AI Agent Builder, to accelerate workflow automation and decision-making within P2P.
- Automation and Optimization: Partner with P2P Global Process Owners to analyze end-to-end P2P workflows to uncover inefficiencies and translate complex business problems into structured technical solutions for automation.
- Technical Governance: own the technical governance for all citizen-developed solutions (often referred to as \"shadow IT solutions\") to ensure they meet strict requirements for security, reliability, and compliance.
- Cross-Functional Partnership: Collaborate closely with Global Process Owners (GPOs), IT, Finance AI-COE, and other FinOps teams to ensure technical solutions are aligned with process standards, business needs, and enterprise-wide governance.
- Technical Coaching: Champion technical literacy and mentor stakeholders within the P2P GPO team on best practices for solution design and technical governance.
Basic Qualifications
- 5+ years of experience in technical solution design, process automation, or enterprise architecture, specifically in a Finance or Procure-to-Pay domain.
- Deep technical understanding and proven experience implementing solutions using citizen developer/low-code/no-code platforms, such as Microsoft Power Platform (Power Apps, Power Automate) and/or Google's AppSheet, Apps Script, etc.
- Demonstrated technical savviness and +5 years of experience with edge technologies, particularly the practical application of Generative AI (GenAI) or Machine Learning (ML) for process transformation.
- Strong background in technical governance and implementing control frameworks to manage risk for user-developed applications.
- Excellent communication skills, capable of translating technical architecture and risks into clear narratives for both technical and non-technical stakeholders.
Preferred Qualifications
- +5 years of experience in designing and deploying AI agents or custom models using platforms like Google Vertex AI Agent Builder or Copilot Studio's Agent Builder.
- Proven ability to lead cross-functional initiatives and influence stakeholders to drive the adoption of new technical solutions.
- Experience with financial systems, data lifecycle management, and ensuring high data quality for automated processes.
For Dallas, TX-based roles: The base salary range for this role is USD$126,000 per year - USD$140,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link [https://jobs.uber.com/en/benefits](https://jobs.uber.com/en/benefits).
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.
