Finance Data And AI Office (DART) RoleThe Finance Data and AI Office (DART) delivers trusted data, analytics, and AI enabled solutions across Finance, Risk, and Treasury. This role sits within the Automation, Analytics & AI pillar and focuses on building practical, scalable AI solutions that address real finance challenges end to end—from problem framing and solution design through deployment and adoption. This position provides an excellent opportunity to interact with different business areas across State Street.The ideal candidate combines strong analytical thinking with business curiosity and judgment and can thoughtfully apply the right mix of AI capabilities, agentic approaches, and low?code/no?code tools to design integrated, optimized solutions.
Success in this role requires the ability to connect technology choices to tangible Finance outcomes—improving insight quality, controls, efficiency, and decision?making.What you will be responsible for:Build Agentic AI & Copilot Solutions for FinanceDesign and deliver agent?based workflows that can plan, reason, and execute tasks across finance processes (with appropriate human oversight and controls).Implement solutions that use LLM copilots for finance narratives, variance explanations, exception triage, and root?cause analysisCombine AI reasoning with deterministic logic (rules, thresholds, accounting constraints, materiality) to ensure reliability in controlled environmentsPrompt Engineering & Context Design (Finance?Grade)Create and refine prompts grounded in finance context (e.g., P&L, cost centers, accounting rules, materiality thresholds) and structure outputs for decision?makingBuild reusable prompt patterns, evaluation approaches, and guardrails to reduce hallucinations and increase consistencyApply Data Science Where It MattersUse analytics and data science methods (e.g., anomaly detection, classification, forecasting support, explainability) to strengthen finance insight and controlsAnalyze large, complex datasets to identify breaks, drivers, trends, and actionable signals relevant to Finance operations and reportingEnable AI Using No?Code / Low?Code PlatformsOperationalize AI outputs into finance workflowsOrchestrate AI?driven steps alongside rules?based logicSurface AI?generated insights, exceptions, and narratives to end usersKnow when low?code is sufficient and when custom logic or data science is requiredEmbed Solutions into Finance WorkflowsPartner with Finance, Risk, and Treasury teams to understand processes end?to?end and design solutions that fit how work actually gets doneSupport rollout and adoption through documentation, training, and iteration based on user feedbackResponsible AI & Controls?Aware DeliveryEnsure solutions are explainable, auditable, and aligned with governance expectationsValidate AI outputs against financial data and business logic; design monitoring to maintain quality over timeSkills and experience needed:Bachelor's degree in AI, Data Analytics, Computer Science, Engineering, or a related field5-7 years of experience in emerging AI technologies, data science, analytics, automation (financial services preferred)Strong analytical and problem?solving skillsExperience working with large, complex datasetsProficiency in SQL and PythonKnowledge of data warehousing, data modelling, ETL designExperience with data visualization tools (e.g., Power BI, Tableau, or similar)Exposure to automation tools (e.g., low?code platforms, RPA, workflow tools)Understanding of Finance, Risk and/or Treasury business processesStrong written and verbal communication skillsKnowledge of the below tools is preferable:Microsoft Co-pilot StudioMicrosoft 365 Co-pilotDatabricksAnthropic/ClaudePower BI/TableauAlteryxMicrosoft FabricMicrosoft Power AppMicrosoft Power AutomateAre you the right candidate? Yes!We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don't necessarily need you to fulfil all of them when applying.
If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.Salary Range: $90,000 - $157,500 Annual
Data Analytics & Management, AVP in boston at Unknown Company
This position is listed as full time and onsite.