Global Head of Data Platform Engineering, SVP

Who we are looking for Design, build, and operate enterprise-grade, AI-ready data platforms at scale, using modern engineering, Agile, and Site Reliability Engineering (SRE) practices—enabling secure, resilient, and high-performance data capabilities across all State Street businesses and functions.The Head of Data Platform Engineering is accountable for delivering and operating industrial-strength data platforms that power State Street’s Data & AI ecosystem.This is a deep, hands-on engineering leadership role, leading a global organization of 100+ engineers to build and run mission-critical data platforms across cloud and on-premise environments.The role combines:Strong engineering execution (distributed systems, data platforms)Modern product mindset (platforms as products, user-centric design)SRE discipline (reliability, observability, SLAs/SLOs)Agile delivery models (iterative, outcome-driven execution)The role partners closely with:Data Architecture implements the target-state blueprintStrategy & Portfolio aligns to priorities and roadmapGovernance ensures platforms enable compliant usageAI Platform Engineering provides foundational data capabilitiesThis leader is central to building a unified, scalable data platform ecosystem supporting Investment Services, Investment Management, Wealth, Alpha, Global Markets, and control functions.Success is measured by platform reliability, scalability, adoption, engineering velocity, and ability to power enterprise data and AI use cases.What you will be responsible for Enterprise Data Platform EngineeringDesign, build, and operate data platforms as enterprise products, including:Data ingestion and integration platformsData lake / warehouse / lakehouse architecturesBatch and streaming data processingData access and serving layersOwn full platform lifecycle:Engineering and buildDeployment and operationsContinuous improvement and optimizationLarge-Scale Engineering Leadership (100+ Organization)Lead and scale a global engineering organization of 100+ professionals across:Platform engineeringData engineeringReliability engineeringBuild a strong leadership structure across:Engineering domains (ingestion, processing, storage, serving)Platform services and developer experienceDrive a culture of:Engineering excellenceAccountability and ownershipAutomation and operational rigorSite Reliability Engineering (SRE) & Operational ExcellenceEstablish and embed SRE practices across all data platforms, including:SLAs, SLOs, and error budgetsObservability (metrics, logs, tracing)Incident management and postmortemsEnsure platforms meet enterprise standards for:Availability and uptimePerformance and latencyResilience and disaster recoveryDrive automation of operations to minimize manual interventionAgile Delivery & Product-Centric EngineeringImplement modern Agile delivery models across platform teamsOperate platforms with a product mindset, including:Clear product definitions and roadmapsContinuous delivery and iterationCustomer (developer/user) feedback loopsEstablish disciplined practices for:Backlog managementSprint planning and executionOutcome-based delivery trackingCloud, Hybrid & On-Prem Platform EngineeringArchitect and operate cloud-native and hybrid data platforms, including:Public cloud environmentsOn-premise and private cloud systemsEnsure seamless interoperability across environmentsOptimize for:Scalability and elasticityCost efficiencyPerformance and reliabilityAlignment to Enterprise Data ArchitectureImplement the enterprise data architecture in platform designEnable:Standardized data domainsInteroperable data modelsConsistent enterprise data flowsEnsure platforms support reuse-first, domain-driven designReusable Data Products & Data ServicesEnable and operationalize enterprise data product capabilities, including:Reusable datasetsDomain-based data productsDiscoverable and accessible data servicesDrive adoption of reusable assets across:Investment Services, Investment Management, WealthAlpha platform, Markets, and control functionsIntegration with AI Platform EngineeringProvide AI-ready data capabilities, including:Structured and unstructured data pipelinesFeature engineering pipelinesSupport for vector and embedding-based dataIntegrate seamlessly with AI Platform EngineeringDeveloper Experience & Platform AdoptionBuild self-service, developer-friendly platforms, including:APIs, SDKs, and toolingSimplified onboarding and data accessImprove productivity for:Data engineersData scientistsApplication teamsPlatform Modernization & RationalizationIdentify and eliminate:Redundant and legacy data platformsFragmented data pipelinesLead migration to:Standardized enterprise platformsScalable, modern data architecturesAlign modernization with architecture roadmap and portfolio prioritiesEnterprise Technology CollaborationPartner with:Global Technology Services (GTS)Cloud and infrastructure teamsCyber security and resilience engineeringEnsure alignment with enterprise standards for:SecurityReliabilityOperational excellenceQualifications & ExperienceSenior leadership experience managing large-scale (100+) engineering organizationsDeep hands-on expertise in:Data platforms and distributed systemsCloud-native and hybrid architecturesLarge-scale data processing (batch and streaming)Proven experience building and operating mission-critical platforms at enterprise scaleStrong experience implementing:SRE practices and operational modelsAgile engineering and product delivery frameworksPreferred background in:Financial services or similarly regulated, data-intensive environmentsLeadership ProfileDeep technologist with strong engineering credibilityProven leader of large, global engineering organizationsBrings product thinking into platform engineeringStrong operator with focus on reliability, scalability, and executionCollaborative leader across architecture, business, and AI platform teamsSalary Range: $225,000 - $337,500 AnnualThe 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 .About State StreetAcross 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/careersRead our CEO StatementJob 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.SummaryLocation: Boston, Massachusetts; Princeton, New Jersey; Quincy, Massachusetts; Clifton, New JerseyType: Full time