Global Head of Data Enablement, SVP

State Street•Boston, MA

About The Position

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, and 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.

Requirements

Senior leadership experience in field engineering, solution engineering, or platform enablement roles in large-scale data or platform environments.
Strong technical background in data platforms and data engineering.
Strong technical background in cloud and distributed systems.
Proven ability to work deeply with business stakeholders.
Proven ability to translate platform capabilities into business outcomes.
Experience in financial services or complex enterprise environments preferred.

Nice To Haves

Customer- and business-oriented engineering leader.
Strong communicator able to bridge business and technology.
Pragmatic problem-solver with execution focus.
Skilled at driving adoption and behavioral change at scale.
Collaborative leader who thrives in cross-functional environments.

Responsibilities

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, and ensure alignment with business objectives.
Act as a trusted engineering partner to business leaders and domain teams.
Drive adoption of enterprise data platforms across Investment Services, Investment Management, Wealth, Alpha, Markets, and Control functions.
Ensure platforms are used to deliver business insights, operational efficiencies, and scalable data capabilities.
Track and improve adoption metrics and business impact.
Drive the use of reusable data assets and enterprise datasets across all businesses.
Ensure consistent consumption of standardized data definitions and shared data products.
Partner with Data Architecture and Data Platform Engineering to promote reuse-first data consumption patterns and identify gaps in reusable data availability.
Enable rapid deployment of data-driven use cases, including analytics and reporting, data products, and 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, and accelerate adoption through proven patterns and repeatable approaches.
Improve usability and accessibility of data platforms by supporting onboarding of engineers, analysts, and business users, and providing guidance on platform usage and best practices.
Drive a self-service data consumption model, reducing reliance on centralized teams.
Act as the voice of the user and business back to Data Platform Engineering and Data Architecture to identify platform gaps, usability challenges, and missing data assets or capabilities.
Ensure continuous improvement of platforms based on real-world usage.
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.
Partner with Data Platform Engineering to enable adoption, AI Platform Engineering to support AI use case deployment, Data Architecture to align to domain models, and Data & AI Strategy, Portfolio & Value to align to priorities.
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, and speed and execution discipline.

Benefits

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
Eligibility for certain tax advantaged savings plans
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Vibrant employee networks