Senior AI Solutions Analyst - Finance

The core responsibilities for the job include the following:

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 and 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.

Requirements:

• 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.