Data & AI Platforms, Global Delivery Simplification, Managing Director

State Street is a global financial services company supporting institutional investors with risk management, performance, and profitability. The company emphasizes inclusive development opportunities, flexible work-life support, and employee networks.

• 12+ years of experience leading data engineering, data platforms, or data governance in large-scale, regulated enterprise environments.
• Proven experience owning enterprise data strategy and operating models.
• Deep understanding of data lifecycle management, governance, controls, and audit requirements in financial services.
• Experience enabling AI, ML, generative AI, or agent-based systems through robust data foundations.
• Strong executive communication skills to translate complex data and AI concepts into business and risk outcomes.
• Demonstrated ability to lead senior technical teams and influence across organizational boundaries.
• Degree in Computer Science, Engineering, or equivalent experience in complex financial services environments.
• Enterprise mindset with strong ownership of outcomes, risk posture, and long-term sustainability.
• Comfortable operating at executive level with high visibility, regulatory scrutiny, and material business impact.

Enterprise Data & AI Platform Strategy:

• Define and own the data strategy for Global Delivery Simplification aligned to AI, automation, and operational transformation priorities.
• Set the target-state architecture for data platforms, pipelines, and data products supporting analytics, generative AI, and agent-based execution.
• Establish strategic investment priorities across data engineering, platforms, tooling, and capabilities.
• Ensure alignment of data strategy with broader technology, AI, and operational roadmaps.

Data Governance, Stewardship & Controls:

• Own enterprise-level accountability for data quality, lineage, lifecycle management, and control frameworks supporting AI-enabled operations.
• Set standards for business definitions, critical data elements (CDEs), calculation logic, and metadata across GD Simplification.
• Establish and govern data stewardship operating models, including roles, escalation paths, and accountability.
• Ensure data governance practices meet regulatory, audit, and model risk management expectations.

AI & Agentic Systems Enablement:

• Provide executive oversight of data foundations that support AI training, inference, and agent decisioning at scale.
• Define standards for agent action constraints, data quality gates, and human-in-the-loop controls.
• Ensure auditability and traceability of AI decisions through data lineage, versioning, and evidence capture.
• Partner with AI, product, and risk leaders to ensure safe, explainable, and compliant deployment of agent-based systems.

Operational Data Quality & Resilience:

• Establish enterprise data quality frameworks, exception taxonomies, and performance metrics.
• Oversee monitoring of systemic data quality issues and ensure effective remediation across upstream and downstream dependencies.
• Ensure data quality and control checks are embedded upstream of AI-driven actions to protect operational integrity.
• Balance data architecture decisions with cost, scalability, resilience, and operational complexity.

Leadership, Collaboration & Influence:

• Lead and develop senior data engineering, platform, and governance leaders within GD Simplification.
• Partner with Product Owners, Operations, Technology, Risk, Compliance, and Audit leaders to ensure data enables measurable business outcomes.
• Influence enterprise stakeholders on data and AI risk, control design, and operating model decisions.
• Represent GD Simplification in senior forums related to data strategy, AI governance, and operational resilience.

As an Equal Opportunity Employer, all qualified applicants are considered 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.