Senior Lead Data Scientist - AI for Data Management

About this role:

Wells Fargo is seeking Senior Lead Data Scientist role as part of the Consumer Model Development CoE. AI is fundamentally transforming data management, redefining how organizations handle metadata, data lineage, data quality, and governance at scale. The ability to harness AI, particularly Generative AI (GenAI), is unlocking unprecedented efficiencies in data discovery, cataloging, compliance, and automation—allowing banks to manage vast and complex data ecosystems with intelligence and precision. 

You will be a senior individual contributor (IC) leader responsible for driving AI-powered transformation within data management for Consumer Banking. Work closely with data management leadership to define priorities, develop an actionable AI roadmap, and lead cross-functional teams to deliver measurable results. Leverage GenAI and advanced AI techniques to solve practical challenges in data governance, metadata management, lineage tracking, data quality, and compliance.

This role requires both strategic vision and hands-on expertise—the ability to define an AI-driven strategy for data management while being deeply involved in execution as needed to drive real-world impact.

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

In this role, you will:

• Serve as a senior AI leader driving AI/GenAI-powered innovation for data management in consumer banking.

• Partner closely with data management leadership to define strategic AI priorities and translate them into tangible workstreams.

• Develop and implement GenAI and AI-driven solutions for metadata management, data lineage, data discovery, data quality, governance, regulatory compliance, and automation.

• Lead cross-functional teams through planning, prioritization, and execution of AI initiatives, ensuring alignment with business objectives and compliance needs.

• Provide technical leadership on GenAI and AI technology adoption, ensuring the organization leverages cutting-edge innovations.

• Ensure AI-driven solutions comply with banking regulations and governance frameworks, proactively addressing risk and compliance concerns.

• Advocate for AI adoption in data management, driving cultural and technological transformation.

• Effectively communicate strategic insights and program-level updates to C-level executives and stakeholders.

Required Qualifications:  

• 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

• Demonstrated expertise in Generative AI, including large language models, Generative AI frameworks, and advanced NLP techniques which includes leading GenAI projects from conception to production 

Desired Qualifications:

• Extensive knowledge of data management: including but not limited to metadata management (data dictionaries, catalogs), data lineage tracking, governance frameworks, data quality management, data discovery, and regulatory compliance.

• Expert-level AI and GenAI expertise: deep experience in designing, developing, and applying LLMs, NLP, knowledge graphs, embeddings, and ML-driven automation to data management challenges.

• Strong hands-on programming skills: Proficiency in Python, SQL, cloud-based AI/ML services (AWS, GCP, Azure), vector databases, retrieval-augmented generation (RAG), and model fine-tuning.

• Ability to “zoom out and zoom in”: capable of shaping AI strategy for data management while being hands-on in guiding AI modeling and system architecture.

• 7+ years of experience in data management with a strong understanding of banking regulations, compliance requirements, and AI-driven transformation initiatives.

• Cross-functional leadership: ability to lead multidisciplinary teams, prioritize AI workstreams, and drive execution through coaching and strategic planning.

• Strong bias for action: ability to move quickly, iterate, and drive real-world AI adoption in an enterprise setting.

• Banking domain expertise, particularly around data governance, compliance, and risk frameworks.

• Executive communication skills: ability to synthesize complex AI topics into clear, actionable insights for C-level leaders and senior stakeholders.

• Prior experience in enterprise AI implementation, AI ethics, explainability, and model governance.

• Full stack data science experience with familiarity with MLOps, AI infrastructure, and scalable AI architectures in large organizations.

Job Expectations:

• Ability to travel up to 10% of the time

• This position offers a hybrid work schedule

Posting Location(s):                                          

• 401 S Tryon St – Charlotte, North Carolina, 28202

Required location(s) listed.  

Posting End Date: 

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

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

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 US: 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.

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.

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.