Senior Data Governance Associate - Firmwide Data Risk Classification Governance

Senior Data Governance Associate - Firmwide Data Risk Classification Governance

Make your mark by strengthening how data risk is identified and managed across a global organization. Join a high-performing governance team where you will influence standards, tooling, and adoption while partnering with stakeholders across business, risk, and technology. Grow your career by building deep expertise in data governance, controls, and responsible innovation using emerging automation capabilities.

 

As a Senior Data Governance Associate, Data Risk Classification within the Chief Data & Analytics Office (CDAO), you will serve as a seasoned member of a high performing team responsible for defining and delivering governance approaches and tooling that support consistent data classification practices to manage data risk across the firm. This will involve deliverables for the Business-as-usual governance of the the Lines Of Business and Corporate Functions (LOB/CFs), as well as supporting the delivery of the strategic target state leveraging AI tooling. You will partner with LOB and CF CDO stakeholders to share best practices and ensure an effective overall governance ecosystem.

Job responsibilities

• Maintain and continuously improve the Data Risk Classification Framework and related governance documents to enable consistent, repeatable classification practices across the firm.
• Execute governance controls by performing defined reviews, evidence collection, and control activities in line with established procedures and timelines.
• Develop and consolidate risk and performance metrics from multiple sources into oversight-ready reporting packs and clear management summaries.
• Partner with stakeholders across the Lines of Business and Corporate Functions to support their implementation of classification procedures and resolve process questions.
• Create clear guidance and training materials (for example, procedures, job aids, and frequently asked questions) to improve adoption and reduce process variation.
• Coordinate governance forums and workstreams by producing agendas and materials, capturing decisions and actions, and driving timely follow-up communications.
• Support delivery of program enhancements by contributing to business analysis, reviewing governance and tooling proposals, and performing user testing for key deliverables.
• Collaborate with cross-functional partners to apply automation capabilities, including artificial intelligence and machine learning methods, to improve efficiency, consistency, and user experience of classification workflows.
• Contribute to adjacent data risk governance activities (for example, protection and privacy governance, audit and regulatory responses, and cross-team initiatives) based on business priorities.

Required qualifications, capabilities, and skills

• 4+ years of relevant experience (e.g., program/project management, product ownership, or process / business analysis) in a risk management and/or data environment
• Strong written and verbal communication skills; ability to produce high-quality documentation for diverse audiences; ability to articulate complex requirements and solutions to senior stakeholders and technology teams
• Strong stakeholder management and interpersonal skills; comfortable partnering with people at all levels and across all functional areas (e.g., across Legal, Compliance, Controls, Technology, and Business Operations)
• Self-starter with the ability to work autonomously and the ability to manage multiple deliverables under deadlines with attention to detail and disciplined execution
• Proficiency with Microsoft Office (Excel, Word, PowerPoint), including comfort with analyzing and parsing data in Excel to produce insights and recommendations

 

Preferred qualifications, capabilities, and skills 

• Experience of regularly using AI tools to increase personal productivity
• Familiar in implementing policies, standards, procedures, or guidance documents to be used by a wide range of users
• Bachelor’s degree or equivalent experience

 

 

Experience Level

Mid Level