We Are Looking For

Financial Services

DataAnalytics&Management,VP

$120–203k Boston, Massachusetts, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Executive candidates.

The Brief

“Data Analytics & Management, VP at We Are Looking For. Skills: AI Solutions, Data Science, Automation, Finance. Lead cross-functional delivery teams. Design agent-based workflows”

What You'll Achieve.

Deliver integrated, optimized solutions; Improve insight quality; Improve controls; Improve efficiency; Improve decision-making; Sustain results; Deliver measurable outcomes

Industry & Context.

Financial Services
Problems you'll solve

Analytical thinking; Problem-solving skills

What They're Looking For.

Must Have

Bachelor’s degree in AI, Data Analytics, Computer Science, Engineering, or a related field, 8+ years of experience in AI technologies, data science, analytics, and automation, Demonstrated leadership of programs/teams, Experience working with large, complex datasets, Proficiency in SQL, Proficiency in Python, Experience with data warehousing, Experience with data modelling, Experience with ETL design, Understanding of Finance, Risk and/or Treasury business processes, Experience with automation tools, Demonstrated ability to lead cross-functional project teams, Demonstrated ability to manage delivery plans, Demonstrated ability to drive adoption through change management, Knowledge of data governance concepts, Knowledge of data quality concepts, Knowledge of regulatory compliance concepts

Nice to Have

Financial services experience preferred, Microsoft Co-pilot Studio knowledge, Microsoft 365 Co-pilot knowledge, Databricks knowledge, Anthropic/Claude knowledge, Power BI/Tableau knowledge, Alteryx knowledge, Microsoft Fabric knowledge, Microsoft Power App knowledge, Microsoft Power Automate knowledge

What You'll Do.

Lead cross-functional delivery teams

Design agent-based workflows

Deliver agent-based workflows

Own solution strategy for LLM copilots

Combine AI reasoning with deterministic logic

Define quality controls

Set standards for finance-grade prompting

Set standards for context

Structure outputs for decision-making

Structure outputs for auditability

Establish reusable prompt patterns

Establish evaluation approaches

Apply analytics and data science methods

Identify actionable signals

Lead delivery using no-code and low-code tools

Operationalize AI outputs into finance workflows

Orchestrate AI-driven steps

Surface AI-generated insights

Surface AI-generated exceptions

Surface AI-generated narratives

Understand processes end-to-end

Lead project planning

Iterate based on user feedback

Ensure solutions are explainable

Ensure solutions are auditable

Ensure solutions are aligned with governance expectations

Provide status reporting

Provide risk reporting

Provide outcomes reporting

Validate AI outputs against financial data

Implement KPI dashboards

Implement continuous improvement cadence

How You'll Work.

Team & Collaboration

Cross-functional delivery teams; Cross-functional project teams

Communication Scope

Translate complex technical concepts; Clear business decisions; Written communication; Verbal communication

Process & Methodology

Delivery plans, Change management

Full Job Description

**About the job** The 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 for** The 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 Finance * Lead 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 K

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