Managing Director

Job Description Role Overview: You are being hired as a Managing Director to provide enterprise leadership for data and AI platforms that underpin Global Delivery Simplification across asset servicing operations. Your role will involve shaping, governing, and scaling the data foundations that enable intelligent automation, generative AI, and agent-based systems across the organization. This is a strategic role and not an execution-level data engineering position. You will own the strategic direction, operating model, and outcomes of data platforms and data governance that power AI-driven operational workflows in a regulated environment. Your responsibilities will sit at the intersection of data strategy, AI enablement, operational simplification, and risk management, ensuring that data used in analytics, automation, and AI decision-making is trusted, controlled, auditable, and enterprise-ready. Key Responsibilities: - 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. - 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. - 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. - 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. - 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. Qualifications Required: - 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, not just delivery execution. - 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, with the ability 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. Additional Details: The company offers a permanent contract from day one along with additional holidays, a Gold Medical Package for employees and their families, a premium life insurance package, and private pension plan. Employees also have access to a wide range of soft skills training, technical workshops, language classes, development programs, and opportunities to volunteer. The organization is committed to fostering an inclusive environment where every employee feels valued and empowered to reach their full potential. State Street encourages employee development, flexible work-life support, paid volunteer days, and vibrant employee networks. As an Equal Opportunity Employer, State Street considers all qualified applicants for positions without regard to various protected characteristics. Role Overview: You are being hired as a Managing Director to provide enterprise leadership for data and AI platforms that underpin Global Delivery Simplification across asset servicing operations. Your role will involve shaping, governing, and scaling the data foundations that enable intelligent automation, generative AI, and agent-based systems across the organization. This is a strategic role and not an execution-level dat