Technology Financial Operations AI & Automation Engineer
State Street10 hours ago
Dublin, IrelandMid Level
Responsibilities
- Identify and prioritize automation opportunities across technology financial operations based on value, repeatability, risk, controls, and maintainability.
- Map current business processes with SMEs and design future-state workflows, control points, exception paths, and support requirements.
- Build, deploy, monitor, document, and support workflow automations and AI-enabled productivity tools.
- Automate intake, validation, exception management, routing, recurring checks, knowledge assistance, document and data review, and human-in-the-loop decisions.
- Support TCO, FinOps, productivity, portfolio, demand, procurement, headcount, and operational reporting processes.
- Operate automations as supported products with release discipline, user guidance, issue reporting, and continuous improvement plans.
- Partner with data, BI, architecture, security, risk, controls, audit, and responsible AI teams to ensure solutions are compliant, auditable, secure, and supportable.
- Measure effort avoided, cycle-time reduction, error reduction, control improvement, adoption, and user satisfaction.
Requirements
- Experience designing, building, and supporting workflow automations, low-code solutions, AI-enabled assistants, or comparable enterprise productivity tools.
- Hands-on experience with Microsoft Power Platform, Power Automate, Copilot, Copilot Studio, AI-enabled productivity tools, SharePoint, Power BI, or comparable enterprise automation technologies.
- Experience mapping business processes, documenting requirements, designing future-state workflows, and supporting adoption with non-technical stakeholders.
- Understanding of data handling, access control, auditability, testing, change management, and support requirements in governed enterprise environments.
- Strong analytical and prioritization skills, including the ability to select worthwhile automation opportunities.
- Preferred experience with enterprise AI or agentic workflow patterns such as retrieval-based assistants, knowledge bases, routing agents, review assistants, or workflow copilots.
- Preferred experience in financial services, technology business management, FinOps, IT TCO, procurement, third-party risk, portfolio management, or technology finance operations.
- Familiarity with Microsoft Fabric, Dataverse, APIs, SQL, Python, or other data and integration approaches.
- Experience with SDLC, end-user-developed tool, model risk, data governance, responsible AI, or similar control frameworks.
Benefits
- Full-time role based in Dublin, Ireland, with expected work in the State Street office four days per week.
- First-shift standard business hours with flexibility as needed and limited travel may be required.
- Inclusive development opportunities, flexible work-life support, paid volunteer days, and employee networks.
Categories
About State Street
State Street is a global custodian bank and asset manager serving institutional investors with investment servicing, fund accounting, trading/FX, data, and index/active strategies. Its products include State Street Global Advisors’ funds and ETFs, the Charles River Investment Management Solution, and the front-to-back State Street Alpha platform. Founded in 1792 and headquartered in Boston, the company is publicly traded on the NYSE (ticker: STT) and operates across major markets worldwide.