Uber—Senior AI Solutions Analyst - Finance

Job description

Description: About the role and team Working at Uber means solving hard problems in a high-stakes, fast-moving environment where you’ll need to take ownership, stay adaptable, and build with both urgency and care. As a Senior AI Solutions Analyst on the [INSERT] team, you will drive practical, responsible AI adoption across CAO-owned finance processes. This role will embed “AI as a work twin” into daily workflows, reduce manual effort, and improve efficiency, quality, and controls. The focus is execution: identifying high-impact use cases, piloting solutions, scaling what works, and ensuring adoption across teams. This role partners closely with CAO Process Owners, Finance Transformation, FinTech, Product, Engineering, and Risk/Compliance. Role will be based in Bangalore or Hyderabad. Key Responsibilities 1. Drive AI Adoption in Daily Work - Support the adoption of AI-enabled ways of working across CAO Finance teams - Identify opportunities to embed AI into activities such as reconciliations, reporting, issue analysis, drafting, research, and documentation - Translate Finance process challenges into practical AI use cases - Develop and maintain reusable use cases, prompts, playbooks, templates, and best practices - Support workshops, demonstrations, office hours, and capability-building sessions - Gather user feedback and identify opportunities to improve adoption and usability - Track adoption and help teams integrate successful solutions into their day-to-day workflows 2. Deliver High-Impact AI Use Cases - Analyze Finance processes to identify manual, repetitive, time-consuming, and error-prone activities that could benefit from AI or automation - Assess opportunities based on potential value, feasibility, risk, and scalability - Work with Finance teams and technology partners to design and pilot AI-enabled solutions, including copilots, agents, and workflow automation - Perform testing and coordinate user acceptance testing with Finance teams - Document requirements, workflows, expected outputs, validation criteria, and process changes - Gather feedback from pilots and iterate solutions before broader implementation - Help standardize successful solutions so they can be reused across teams and processes - Measure and report impact, including time saved, capacity created, cycle-time reduction, adoption, and quality improvements 3. Ensure Governance & Control Alignment - Ensure AI use cases follow established SOX, audit, data security, privacy, and responsible AI requirements - Maintain appropriate documentation for implemented AI solutions - Support the definition of validation procedures and human-in-the-loop review steps - Identify potential process or control risks and escalate them to the appropriate Process Owner, Risk, Compliance, or technology partner - Work with relevant stakeholders to ensure solutions operate within approved AI and Finance governance frameworks 4. Lead Change Across Teams - Partner with Finance teams to understand pain points and identify opportunities where AI can improve existing ways of working - Support implementation and change-management activities for new AI-enabled workflows - Create practical training materials, user guides, demonstrations, and adoption resources - Gather feedback from users and translate it into improvements or additional use cases - Coordinate across Finance, Transformation, FinTech, Product, Engineering, and Risk/Compliance stakeholders as required - Prepare clear updates on use-case progress, adoption, benefits, issues, and risks for stakeholders Qualifications Basic - 4–6+ years of relevant experience in Finance Operations, Accounting, Finance Transformation, FinTech enablement, Process Excellence, or a related field - Strong understanding of Finance and CAO processes such as Close/RTR, reconciliations, intercompany, reporting, and controls - Experience improving Finance processes through technology, automation, standardization, or process redesign - Strong analytical and problem-solving skills, with the ability to translate business problems into structured solutions - Ability to work effectively with Finance and cross-functional stakeholders. - Strong written and verbal communication skills - Curiosity and willingness to experiment with emerging AI technologies and new ways of working Preferred - Hands-on experience implementing AI/automation solutions - Familiarity with SOX and control environments - Experience building business cases tied to productivity and risk reduction - Lean/Six Sigma, Agile, or program management experience What Success Looks Like - Deliver and support AI use cases that reduce manual effort and improve Finance processes - Help Finance teams incorporate AI effectively into their daily workflows - Build reusable playbooks, prompts, templates, and solutions that can be adopted by multiple teams - Demonstrate measurable improvements in productivity, cycle time, quality, and/or controls - Maintain appropriate documentation, validation, and human oversight for implemented solutions - Build strong working relationships across Finance and technology teams. - Develop a growing pipeline of practical AI opportunities based on real Finance pain points