Senior Lead AI Data Management Analyst

About this role:

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

In this role, you will:

• 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.

Required Qualifications:

• 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.

Desired Qualifications

• 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

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

Benefits

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

Posting End Date:

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

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

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.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.