Senior AI Solutions Analyst - Finance
Uber · Software & Internet
- Hyderabad, Telangana, India
- On-site
- Posted today
- Closes today
- Data & AI
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
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
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
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
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