Job Description

Who we are looking for

Lead a global AI & ML Field Deployment Engineering and Data Science organization that partners directly with businesses to develop, deploy, and scale AI, machine learning, and data science solutions, delivering on State Street’s enterprise and business objectives.

The Head of AI & ML Field Deployment Engineering & Data Science is accountable for ensuring that State Street’s AI capabilities translate into real, measurable business outcomes across all lines of business.

This role leads a business-aligned engineering and data science organization that works directly with:

• Investment Services
• Investment Management
• Wealth
• Alpha platform
• Global Markets
• Corporate and control functions

to deliver model-driven insights, predictive capabilities, and AI-powered solutions embedded into business workflows.

This is a front-line execution role, focused on:

• Developing and deploying AI/ML and data science solutions
• Scaling adoption of models across business processes
• Enabling effective use of enterprise AI platforms
• Delivering tangible business outcomes through AI

The role serves as the execution bridge between AI platform capabilities and business impact, ensuring that models and analytical solutions are not only built, but productionized, scaled, and delivering value

Success is measured by AI adoption, model deployment at scale, speed to production, and business outcomes delivered through AI and data science

What you will do

Business-Aligned AI, ML & Data Science Execution

• Lead a global organization of:
  • Data scientists
  • Machine learning engineers
  • Applied AI engineers
• Partner directly with business and technology teams to:
  • Develop AI/ML and data science solutions aligned to business objectives
  • Deploy models into production environments
  • Scale AI capabilities across business workflows
• Act as a trusted AI and data science partner to business leaders

Delivery of AI-Driven Business Outcomes

• Translate AI, ML, and data science capabilities into:
  • Revenue and client opportunities
  • Operational efficiencies
  • Decision intelligence and insights
• Ensure alignment of solutions with:
  • Enterprise strategy
  • Business-specific KPIs
• Drive measurable impact across all business domains

AI/ML & Data Science Solution Development

• Deliver end-to-end solutions, including:
  • Predictive and machine learning models
  • Statistical and analytical models
  • Feature engineering and data pipelines
  • Generative AI use cases (non-agentic)
• Ensure efficient progression from:
  • Experimentation → production → scaled deployment
• Standardize delivery approaches for repeatability and scale

AI Platform Adoption & Utilization

• Drive adoption of enterprise AI platforms by:
  • Enabling model development and deployment workflows
  • Supporting teams in leveraging platform capabilities effectively
• Ensure consistent usage of platform capabilities across the enterprise

Reusable Models, Features & Analytical Assets

• Promote reuse of:
  • Feature engineering pipelines
  • Model components and frameworks
  • Analytical and statistical methodologies
• Reduce duplication and accelerate time to value across teams

Data Scientist & Engineer Enablement

• Improve productivity of data scientists and AI engineers by:
  • Enabling self-service capabilities
  • Streamlining development and deployment workflows
  • Simplifying access to data and tools
• Establish best practices across:
  • Model lifecycle management
  • Experimentation and evaluation
  • Production deployment

Feedback Loop to Platform & Data Teams

• Serve as the voice of AI practitioners and business users into:
  • AI Platform Engineering
  • Data Platform Engineering
• Identify:
  • Platform usability and capability gaps
  • Data availability and quality issues
  • Scaling challenges in production environments
• Drive continuous improvement based on real-world usage

Standardized AI Delivery Patterns

• Develop and scale repeatable playbooks and patterns for:
  • Model development
  • Deployment and operationalization
  • Scaling across business use cases
• Ensure consistency while enabling flexibility for domain-specific needs

Cross-Functional Collaboration

• Partner with:
  • AI Platform Engineering to evolve platform capabilities
  • Data Platform Engineering for data access and pipelines
  • Data Architecture for domain alignment and reusable assets
  • Data & AI Strategy, Portfolio & Value for prioritized use cases

Team Leadership

• Build and lead a global AI & ML Field Deployment and Data Science organization
• Align teams to:
  • Business domains
  • Strategic AI initiatives
• Foster a culture of:
  • Business impact and accountability
  • Strong engineering and data science rigor
  • Speed, agility, and execution discipline

Qualifications & Experience

• Senior leadership experience in:
  • AI/ML engineering, data science, or applied AI roles
  • Large-scale enterprise environments
• Strong technical expertise in:
  • Machine learning, statistical modeling, and data science
  • Production deployment of AI/ML solutions
• Proven ability to:
  • Partner with business stakeholders
  • Deliver measurable outcomes through AI and data science
• Experience in financial services or complex enterprise environments preferred

Leadership Profile

• Business-oriented AI and data science leader with strong execution focus
• Deep technical credibility across AI, ML, and data science
• Able to translate advanced analytics into real business value
• Pragmatic, outcome-driven, and delivery-focused
• Collaborative leader across business, platform, and engineering teams

Salary Range:

$225,000 - $337,500 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.