Technology Financial Operations AI & Automation Engineer

We are looking for a Technology Financial Operations AI & Automation Engineer reporting to the Technology Financial Operations Office. This role builds and supports the automations and AI-enabled workflows that cut manual effort, strengthen controls, and modernize recurring routines across technology cost, Cloud Fin Ops, TCO, productivity, portfolio, demand, procurement, headcount, and operational reporting.

The role analyzes how work gets done today, builds the workflow automation and AI tooling to do it better, and supports it once it is live. The work is to replace manual follow-up, spreadsheet checks, and point solutions with governed automation that has clear ownership, reliable support, and measurable value.

This role requires comfort with both business users and technical partners, and the ability to turn a manual routine into automation.

The role uses approved enterprise platforms and responsible AI patterns, and is judged on what reaches production and gets used. This role does the building: solving each problem with emerging technology, applying common standards, and reusing the result across functions instead of rebuilding it for every process.

Near-term opportunities include intake and triage automation, procurement and TPRM knowledge assistance, PO/GL and accrual checks, timesheet and headcount agents, productivity initiative tracking, and support for IT TCO and Fin Ops tooling. Success looks like automations running in production, used by the teams they were built for, clearly owned and supported, and cutting manual effort without weakening controls.

• Identify and prioritize automation opportunities across Technology Financial Operations Office functions based on value, repeatability, risk, control needs, and maintainability.
• Partner with business SMEs to map current processes, simplify where appropriate, and translate requirements into workflow designs, control points, exception paths, and support needs.
• Build, deploy, and support automations using approved enterprise tools, including Microsoft Power Platform, workflow technologies, AI-enabled productivity tools, and related integration patterns.
• Use AI where cost returns value: intake triage, knowledge assistance, document and data review, exception identification, summarization, routing, and human-in-the-loop decision support.
• Support TCO, Fin Ops, productivity, portfolio, demand, procurement, headcount, and operational reporting routines by automating intake, validation, exception management, workflow routing, and recurring checks.
• Run automations as supported products, with documentation, monitoring, release discipline, user guidance, a clear route for reporting issues, and a plan for improving them over time.
• Work with data, BI, app ownership, architecture, security, risk, controls, audit, and responsible AI partners to ensure solutions are compliant, auditable, secure, and supportable.
• Track outcomes such as effort avoided, cycle-time reduction, error reduction, control improvement, adoption, and user satisfaction.

These skills will help you succeed in this role

• Sound engineering habits, and the judgment to build something maintainable rather than over-engineered.
• The instinct to ask whether a process should be simplified or retired before it gets automated.
• A realistic view of what AI does well, what it does badly, and where it can and cannot run autonomously.
• Treating controls, testing, and auditability as part of the design rather than a step at the end.
• Clear communication style for non-technical SMEs, finance partners, technology teams, and senior stakeholders.
• Willingness…