Global Head of Data Enablement, SVP

Who we are looking for Lead enterprise-wide Field Deployment Engineering for Data Platforms , partnering directly with businesses to deliver outcomes by driving adoption, deployment, and effective use of enterprise data platforms and reusable data assets. The Head of Data Platform Enablement is accountable for ensuring that State Street’s data platforms are successfully deployed, adopted, and delivering measurable business outcomes across all lines of business. This role leads a Field Deployment Engineering organization that works closely with businesses to translate platform capabilities into real business value . Unlike platform engineering roles, this function is deeply embedded with business teams to: Accelerate platform adoption Solve real-world implementation challenges Drive effective use of reusable data products and enterprise datasets This role serves as the last-mile execution layer , ensuring that enterprise data platforms are not only built correctly, but used effectively and consistently across the firm . Success is measured by platform adoption, speed of deployment, reuse of enterprise data assets, and realized business outcomes . What you will be responsible for Field Deployment Engineering & Business Partnership Lead a global field engineering organization aligned to business domains Partner directly with business and technology teams to: Deploy data platforms into business use cases Solve integration and adoption challenges Ensure alignment with business objectives Act as a trusted engineering partner to business leaders and domain teams Platform Adoption & Value Realization Drive adoption of enterprise data platforms across: Investment Services Investment Management Wealth Alpha Markets Control functions Ensure platforms are used to deliver: Business insights Operational efficiencies Scalable data capabilities Track and improve adoption metrics and business impact Reusable Data Assets & Data Product Adoption Drive the use of reusable data assets and enterprise datasets across all businesses Ensure consistent consumption of: Standardized data definitions Shared data products Partner with Data Architecture and Data Platform Engineering to: Promote reuse-first data consumption patterns Identify gaps in reusable data availability Use Case Enablement & Delivery Acceleration Enable rapid deployment of data-driven use cases , including: Analytics and reporting Data products AI/ML use cases in partnership with AI Platform Engineering Provide hands-on engineering support to: Reduce time to production Overcome integration and onboarding challenges Accelerate adoption through proven patterns and repeatable approaches Developer & Data User Enablement Improve usability and accessibility of data platforms by: Supporting onboarding of engineers, analysts, and business users Providing guidance on platform usage and best practices Drive a self-service data consumption model , reducing reliance on centralized teams Feedback Loop to Platform & Architecture Teams Act as the voice of the user and business back to: Data Platform Engineering Data Architecture Identify: Platform gaps Usability challenges Missing data assets or capabilities Ensure continuous improvement of platforms based on real-world usage Standardization & Scalable Deployment Patterns Develop and promote repeatable deployment patterns and playbooks Standardize how data platforms are implemented across business domains Ensure consistency in how platforms and data products are consumed Cross-Functional Collaboration Partner with: Data Platform Engineering to enable adoption AI Platform Engineering to support AI use case deployment Data Architecture to align to domain models Data & AI Strategy, Portfolio & Value to align to priorities Team Leadership Build and lead a global Field Deployment Engineering organization Structure teams aligned to business domains and use case delivery Foster a culture of: Customer orientation (business-first mindset) Engineering rigor