Level

State Street

Data Analytics & Management, AVP

State Street is hiring a Data Analytics & Management, AVP in Boston, United States. It pays $90k-$158k a year and Level rates it ; you can apply on Level.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include Claude, Anthropic and Copilot.
  • Level files it as a senior role.
  • Level lists 1,200+ other open roles at State Street.
  • The role was posted in the last few days.

AI in this role

claudeanthropiccopilotdatabricks
prompt-engineeringai-safety

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 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.

Who we are looking for

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 Finance

  • Design 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 analysis
  • Combine AI reasoning with deterministic logic (rules, thresholds, accounting constraints, materiality) to ensure reliability in controlled environments

Prompt 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‑making
  • Build reusable prompt patterns, evaluation approaches, and guardrails to reduce hallucinations and increase consistency

Apply Data Science Where It Matters

  • Use analytics and data science methods (e.g., anomaly detection, classification, forecasting support, explainability) to strengthen finance insight and controls
  • Analyze large, complex datasets to identify breaks, drivers, trends, and actionable signals relevant to Finance operations and reporting

Enable AI Using No‑Code / Low‑Code Platforms

  • Use no‑code and low‑code tools (e.g., Alteryx, Power BI, Power Platform or similar) to:
  • Operationalize AI outputs into finance workflows
  • Orchestrate AI‑driven steps alongside rules‑based logic
  • Surface AI‑generated insights, exceptions, and narratives to end users
  • Know when low‑code is sufficient and when custom logic or data science is required

Embed Solutions into Finance Workflows

  • Partner with Finance, Risk, and Treasury teams to understand processes end‑to‑end and design solutions that fit how work actually gets done
  • Support rollout and adoption through documentation, training, and iteration based on user feedback

Responsible AI & Controls‑Aware Delivery

  • Ensure solutions are explainable, auditable, and aligned with governance expectations
  • Validate AI outputs against financial data and business logic; design monitoring to maintain quality over time


Skills and experience needed:

  • Bachelor’s degree in AI, Data Analytics, Computer Science, Engineering, or a related field
  • 5-7 years of experience in emerging AI technologies, data science, analytics, automation (financial services preferred)
  • Strong analytical and problem‑solving skills
  • Experience working with large, complex datasets
  • Proficiency in SQL and Python
  • Knowledge of data warehousing, data modelling, ETL design
  • Experience 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 processes
  • Strong written and verbal communication skills

Knowledge of the below tools is preferrable:

  • Microsoft Co-pilot Studio
  • Microsoft 365 Co-pilot
  • Databricks
  • Anthropic/Claude
  • Power BI/Tableau
  • Alteryx
  • Microsoft Fabric
  • Microsoft Power App
  • Microsoft Power Automate

Are 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 Street

What 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 clients.

Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.

Discover more at StateStreet.com/careers

Salary Range:

$90,000 - $157,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.


About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.


We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.


As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.


Discover more information on jobs at StateStreet.com/careers


Read our CEO Statement

Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

How we rate this

Data Analytics & Management, AVP at State Street rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringAI SafetyClaudeAnthropicCopilotDatabricks

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How do you think about the risk of an AI system in this kind of role failing silently?
  3. What are the limits of Claude that you've run into, and how did you work around them?
  4. What's a project where you used Anthropic hands-on?
  5. Walk me through how you've used Copilot in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, AI Safety, Claude, Anthropic, and Copilot. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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