Data Analytics & Management, VP

About the jobThe 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 provides strategic and delivery leadership for practical, scalable AI solutions that address real finance challenges end to end—from problem framing and solution design through deployment, change management, and adoption. The role partners closely with senior Finance leadership to align priorities, deliver solutions, and ensure measurable outcomes.  This position provides an excellent opportunity to interact with different business areas across State Street.Who we are looking forThe ideal candidate combines strong analytical thinking with business acumen and play a hands-on leadership role in the delivery of AI capabilities, agentic approaches, and low‑code/no‑code solutions to deliver integrated, optimized solutions.  Success in this role requires the ability to influence and align senior stakeholders, translate complex technical concepts into clear business decisions, and drive delivery through cross‑functional project teams. This leader connects technology choices to tangible Finance outcomes—improving insight quality, controls, efficiency, and decision‑making—and establishes KPIs, measurement approaches, and governance to sustain results.What you will be responsible for:Build Agentic AI & Copilot Solutions for FinanceLead cross‑functional delivery teams to design and deliver agent‑based workflows that can plan, reason, and execute tasks across finance processes (with appropriate human oversight, controls, and governance).Own solution strategy for LLM copilots supporting finance narratives, variance explanations, exception triage, and root‑cause analysis;Combine AI reasoning with deterministic logic (rules, thresholds, accounting constraints, materiality) to ensure reliability in controlled environments; define quality controls and KPI monitoring to sustain performance over timePrompt Engineering & Context Design (Finance‑Grade)Set standards for finance‑grade prompting and context (e.g., P&L, cost centers, accounting rules, materiality thresholds) and structure outputs for decision‑making, auditabilityEstablish reusable prompt patterns, evaluation approaches, and guardrails to reduce hallucinations, increase consistency, and meet governance expectationsApply Data Science Where It MattersApply analytics and data science methods (e.g., anomaly detection, classification, forecasting support, explainability) where they most improve finance efficiency, 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 PlatformsLead delivery using no‑code and low‑code tools to accelerate time‑to‑value while maintaining controls and quality standards, including:Operationalize 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, align priorities, and lead solution design that fits how work actually gets doneLead project planning and execution (scope, timeline, dependencies, risks), support rollout and adoption through documentation and training, and iterate based on user feedbackResponsible AI & Controls‑Aware DeliveryEnsure solutions are explainable, auditable, and aligned with governance expectationsProvide clear status, risk, and outcomes reporting to senior managementValidate AI outputs against financial data and business logic; implement monitoring, KPI dashboards, and a continuous improvement cadence to maintain quality and value over timeSkills and experience needed:Bachelor’s degree in AI, Data Analytics, Computer Science, Engineering, or a related field8+ years of experience in AI technologies, data science, analytics, and automation with demonstrated leadership of programs/teams (financial services preferred)Strong analytical and problem‑solving skillsExperience working with large, complex datasetsProficiency in SQL and PythonExperience with data warehousing, data modelling, ETL designUnderstanding of Finance, Risk and/or Treasury business processesExperience with data visualization tools (e.g., Power BI, Tableau)Experience with automation tools (e.g., low-code platforms, RPA, workflow tools)Demonstrated ability to lead cross‑functional project teams, manage delivery plans, and drive adoption through change managementKnowledge of data governance, data quality, and regulatory compliance concepts (e.g., BCBS 239 principles)Strong written and verbal communication skillsKnowledge of the below tools is preferrableMicrosoft 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.About State StreetWhat we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clie