Lead Data Management Analyst

Wells Fargo Bank • Charlotte, NC

1d • Hybrid

About The Position

Wells Fargo is seeking a Senior Lead Data Management Analyst within the Chief Data Office (CDO) to lead the evolution of enterprise governance for permissible data use. This is a highly visible role at the intersection of data governance, risk management, and AI enablement, responsible for shaping how the organization governs the use of data across business activities, analytics, and emerging technologies. The focus is not on determining whether data is "good" or "bad," but on establishing the policies, controls, and decision frameworks that ensure data is used appropriately, consistently, and in accordance with legal, regulatory, and business requirements. As data becomes a strategic asset and AI adoption accelerates, this role will help define the future-state governance model for permissible data use across the enterprise. Working with senior stakeholders across legal, compliance, privacy, technology, and risk organizations, you will drive governance strategy, influence policy and operating model decisions, and build scalable governance capabilities that enable innovation while managing risk. Optimal candidates will have governed permissible use data.

Requirements

• 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Experience in enterprise data governance, data risk management, privacy‑adjacent controls, or related disciplines within a large, complex organization.
• Demonstrated practitioner experience designing and operating permissible data use governance, including purpose limitation, approvals, exceptions, monitoring, and evidence management.
• Experience governing enterprise-wide data use, with strong understanding of legal, regulatory, contractual, and internal policy requirements.
• Experience engaging with AI governance and/or Model Risk Management processes, particularly as they relate to data sourcing and data permissions.
• Strong background in process design, control development, and documentation, including sustainable operating models and audit‑ready artifacts.

Nice To Haves

• Experience defining governance requirements and partnering with tooling or platform teams to deliver scalable workflow and reporting capabilities.
• Proven ability to influence cross‑functional stakeholders (legal, compliance, privacy, information security, analytics, technology, third‑party risk) without direct authority.
• Excellent written and verbal communication skills, including the ability to develop clear, well‑structured executive level presentations and governance materials.
• Strong analytical and critical‑thinking skills, with the ability to identify risk patterns and recommend targeted control enhancements.

Responsibilities

• Establish and operate centralized enterprise governance for permissible data use, covering all data types across Data Domains and lines of business.
• Contribute to enterprise policies, procedures and roles for permissible data use in partnership with Enterprise Data Governance and key risk and control stakeholders.
• Design, document, and maintain end‑to‑end processes and controls for data use governance, including intake, review, approval, exception handling, evidence management, monitoring, and auditability.
• Ensure effective and efficient engagement with AI governance processes, embedding data use requirements into analytics, AI, and model development and lifecycle activities.
• Align data use governance with related enterprise policies and frameworks as appropriate, including legal, compliance, privacy, information security, Model Risk Management, and third‑party risk management.
• Define requirements and drive prioritization of tooling enhancements with product‑owning organizations to support scalable workflows, approvals, documentation, and reporting.
• Develop operational reporting and metrics to provide transparency into data use activity, adherence to standards, exceptions, and emerging risk themes.
• Provide guidance and enablement to data domains and lines of business, including playbooks, templates, standards, and training materials to support consistent execution.
• Leverage industry benchmarks and best practices to continuously improve the firm’s approach to governing permissible data use and responsible AI.
• Identify, escalate, and drive remediation of data use governance risks, including root‑cause analysis and enhancements to preventative and detective controls.
• Communicate clearly and effectively with senior stakeholders.

Benefits

• Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company.
• They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions.
• There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed