Senior Lead AI Data Management Analyst

The Technology AI Transformation & Governance team is seeking a Senior Lead Data Management Analyst to establish and mature enterprise AI measurement, reporting, and analytics capabilities. This role will lead the development of a centralized AI performance framework, enabling leadership visibility into adoption, value realization, operational effectiveness, and governance compliance across Technology.

The successful candidate will create a single source of truth for AI metrics and insights, driving data-informed decision making and supporting enterprise AI strategy execution.

Learn more about the career areas and lines of business at wellsfargojobs.com

• Act as an advisor to leadership to develop or influence objectives, plans, specifications, resources, and long-term goals for highly complex business and technical needs
• Design and conduct highly complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps
• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
• Evaluate data quality metrics and data quality audits to benchmark the state of data quality
• Lead the design and implementation of enterprise AI reporting, analytics, and measurement frameworks.
• Define key performance indicators (KPIs), success metrics, and reporting standards for AI programs.
• Develop and maintain executive dashboards that monitor AI adoption, usage, value realization, compliance, and operational performance.
• Partner with Technology, Data Management, Finance, and business stakeholders to establish consistent data definitions and reporting methodologies.
• Analyze complex datasets to identify trends, opportunities, risks, and actionable insights.
• Improve data quality, governance, and integrity across AI reporting processes.
• Translate analytical findings into executive-level recommendations and strategic actions.
• Support enterprise reporting requirements and leadership reviews through meaningful metrics and performance insights.
• Establish scalable reporting processes and automated monitoring capabilities.
• Drive continuous improvement of AI measurement and performance management practices.

• 7+ 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
• 7+ years of Reporting, Business Intelligence, or related experience.
• 3 years experience supporting AI, Machine Learning, Generative AI, or emerging technology programs.
• 3 years experience developing enterprise reporting frameworks and executive dashboards.

• Knowledge of data governance, data quality, visualization platforms and enterprise reporting best practices.
• Experience measuring technology adoption, operational performance, and business value realization.
• Strong stakeholder management and executive communication skills.
• Ability to communicate technical concepts to executive and non-technical audiences.

Job Expectations:

• This position offers a hybrid work schedule
• This position is not eligible for Visa sponsorship
• Relocation assistance is not available for this position

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement

10 Aug 2026

• * Job posting may come down early due to volume of applicants.