Hybrid Managing Director, Data & AI Platforms

at State Street

• Job title: Managing Director, Data & AI Platforms
• Job type: Full Time
• Experience level: Lead
• Salary: PLN 426,000 per year
• Degree requirement: Bachelor's Degree
• Location requirements: Hybrid, Krakow, Poland

About the role

• Managing Director providing enterprise leadership for data and AI platforms at State Street. Overseeing data strategy, governance, and AI enablement in asset servicing operations.

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.
• Ensure data governance practices meet regulatory, audit, and model risk management expectations.
• 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.
• 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 considerations.
• 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.

Requirements

• 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.
• Comfortable operating at executive level with high visibility, regulatory scrutiny, and material business impact.

Benefits

• Permanent contract from day one
• Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)
• Gold Medical Package for employees and their families (partner and children)
• Premium life insurance package and private pension plan
• Wide range of soft skills training, technical workshops, language classes and development programs
• Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice
• Variety of well-being programs
• Additional benefits available depending on the seniority of the role