EMEA Data Governance - Senior Associate

In this role you help secure data risk management across EMEA within Asset & Wealth Management. You will work with cross-functional partners to implement governance standards and drive data excellence using AI/ML to support risk-aware commercial goals. You’ll operate within a culture that values integrity, collaboration, and innovation while influencing regional data governance initiatives. This is a hands-on role shaping how data is governed, protected, and leveraged for business impact.

• Support adherence to data risk management standards by documenting requirements, frameworks, and practices
• Coordinate regional inputs into governance forums and prepare materials representing EMEA needs
• Assist with investigation and remediation of governance or policy breaches, tracking actions and escalation workflows
• Partner with Controls, Risk, Compliance, Audit, Legal, Data Executives, Product Owners, Application & Information Owners, and Technology
• Support EMEA data protection governance activities, including tracking artifacts and coordinating classification discussions
• Identify process improvements by documenting workflows and implementing efficiencies
• Contribute to program delivery with workstream plans, milestones, and dependency management
• Support ongoing data risk management activities, including metrics, reporting, and remediation tracking
• Participate in governance meetings by preparing agendas, capturing decisions, and driving follow-ups
• Collaborate with broader CDO teams to reflect regulatory considerations across initiatives
• Oversee activities to support data risk management, participate in firmwide governance forums, lead meetings, drive action

• Strong understanding of control and risk management concepts with ability to evaluate controls and create procedures
• Bachelor in Data Science (or equivalent)
• Data governance expertise and exposure to European data regulations
• Experience implementing firmwide policies and standards
• Excellent stakeholder management and cross-functional coordination
• Foundational AI/GenAI literacy with ability to identify automation opportunities
• Experience in strategic and tactical initiatives with ownership of deliverables
• Strong analytical, problem-solving, and communication skills
• Ability to balance high-level overview with detailed analysis and collaborate with business and technology partners
• Advanced MS Office skills (Excel, Word, PowerPoint)

• Stakeholder management
• Clear communication
• Analytical thinking
• Data governance
• AI/GenAI literacy
• Risk management concepts