Lead Data Management Analyst

About this role:

Wells Fargo is seeking a Lead Data Management Analyst

In this role, you will:

• Organize and lead complex companywide initiatives to ensure that data quality is maintained so that data can effectively support business processes

• Oversee analysis and reporting in support of regulatory requirements

• Identify and recommend analysis of data quality or integrity issues

• Evaluate data quality metrics and data quality audits to benchmark the state of data quality

• Make decisions in complex and multi-faceted situations requiring solid understanding of data governance standards and procedures

• Identify new data sources and develop recommendations for assessing the quality of new data

• Lead project teams and mentor less experienced staff members

• Recommend remediation of process or control gaps that align to management strategy

• Serve as relationship manager for a line of business

• Consult with and provide recommendations to senior management regarding assessments of the current state of data and metadata quality within area of assigned responsibility

• Represent client in cross-functional groups to develop companywide data governance strategies

• Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to coordinate and drive collaboration on solution design and remediation execution

Required Qualifications:

• 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

Desired Qualifications:

• Data Management Expertise: Strong understanding of data management risks and principles.
• Stakeholder Engagement: Skilled in building global relationships and influencing across leadership levels.
• Communication & Collaboration: Exceptional written and verbal communication skills effective in matrixed environments with competing priorities.
• Execution & Accountability: Delivers high-quality outcomes, takes ownership of results, and consistently meets deadlines under pressure.
• Analytical Thinking: Synthesizes data to inform decisions and balances innovation with practical execution.
• Issue Remediation Expertise: Deep understanding of issue remediation processes, with proven experience partnering with or supporting large‑scale program offices to drive issue identification, tracking, escalation, and resolution.
• Adaptive Problem Solver: Proven ability to thrive in environments with evolving requirements, effectively prioritize tasks, and bring creative, out‑of‑the‑box thinking to drive innovative approaches to data analysis.
• Artificial Intelligence: Deep experience with generative AI models, including model prompting, tuning, GenAI environments and Python coding. Experience with enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies.

Job Expectations

• Design and conduct highly complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps

• Progressive experience in Data Management, Business Analysis and in driving cross functional data quality or AI initiative end to end, within financial services or similarly regulated industries.

• Practical GenAI application, pattern discovery and thematics, using GenAI techniques and strong working knowledge of prompt engineering, few-shot / chain-of-thought techniques, and retrieval-augmented generation (RAG) architectures.

• Implement 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
• Execute the vision and direction established by the senior leadership team on implementing innovative and significant business solutions
• Recommend remediation of process or control gaps that align to management strategy
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
• Represent client in cross-functional groups to develop companywide data governance strategies
• Partner with groups companywide to coordinate and drive collaboration on solution design and remediation execution

Posting End Date:

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.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

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