Senior Lead Data Science Consultant

About this role:

Wells Fargo is seeking a Senior Lead Data Science Consultant within our analytics team for Business Banking.

Learn more about our career areas and lines of business at

In this role you will:

• Lead the strategy and execution of highly complex large-scale data analytics and AI initiatives that span multiple business and technology functions.
• Translate ambiguous business needs into clear problem statements scope roadmaps workplans data requirements success measures and implementation approaches.
• Own end-to-end initiative delivery from discovery and prioritization through implementation adoption and measurement of business value.
• Coordinate dependencies decisions risks issues and escalations across business data technology model development risk legal compliance and operations partners.
• Evaluate data availability quality controls technological readiness and resource requirements needed to deliver scalable AI and analytics solutions.
• Establish repeatable delivery frameworks governance routines and executive reporting that improve transparency accountability and time to value.
• Act as an advisor to senior leadership to develop or influence data and AI strategies for highly complex business and technical needs.
• Provide vision direction and expertise on innovative business solutions that align with enterprise priorities risk considerations and customer outcomes.
• Build and maintain trusted relationships across a matrixed organization reconcile competing priorities and drive timely decisions and accountability.
• Translate data and analytical findings into clear recommendations tradeoffs investment choices and action plans for business and technology leaders.
• Identify opportunities to apply AI machine learning automation and advanced analytics to improve decision-making productivity controls and client outcomes.
• Serve as the primary point of coordination for senior business data technology risk and operations stakeholders across assigned initiatives.
• Develop executive-ready communications that clearly articulate strategy progress business impact decisions risks dependencies and recommended actions.
• Facilitate senior leader and governance forums tailoring complex data and AI concepts for technical and non-technical audiences.
• Influence without direct authority resolve misalignment and mobilize cross-functional teams around shared outcomes.
• Respond to ad hoc leadership requests with concise high-impact analysis sound judgment and clear recommendations.
• Ensure initiatives adhere to applicable data management model risk privacy information security legal compliance and responsible AI requirements.
• Embed appropriate controls documentation traceability and monitoring throughout the initiative lifecycle.
• Partner with control functions to identify risks early clarify approval paths and drive timely remediation.
• Promote high standards for data quality analytical rigor explainability and sustainable adoption.

Required Qualifications:

• 7 years of Analytics Reporting Financial Modeling or Statistics experience or equivalent demonstrated through one or a combination of the following: work experience training military experience education.
• Significant experience leading complex data analytics AI machine learning or enterprise transformation initiatives from strategy through implementation.
• Demonstrated program or project leadership across multiple concurrent interdependent workstreams in a large matrixed organization.
• Deep understanding of enterprise data concepts including data sourcing quality lineage integration governance analytics and operationalization.
• Strong partner management skills with a track record of building alignment and influencing business data technology risk and operations stakeholders without direct authority.
• Executive-level written and verbal communication skills including experience presenting complex topics choices risks and recommendations to senior leaders and governance forums.
• Ability to structure ambiguous problems establish clear priorities manage dependencies and escalations and deliver outcomes under aggressive timelines.
• Strong business acumen and judgment with the ability to connect data and AI investments to measurable business value enterprise goals and risk considerations.

Desired Qualifications:

• 7 years of experience in data analytics AI or machine learning data engineering product or program management or enterprise transformation.
• Experience leading AI-enabled capabilities including use-case development data readiness model development or integration implementation adoption and value measurement.
• Working knowledge of modern data and AI ecosystems such as cloud platforms machine learning operations large language models generative AI workflow automation APIs and business intelligence tools.
• Hands-on fluency with analytical tools such as SQL Python R SAS Power BI Tableau or Alteryx sufficient to challenge assumptions and partner effectively with technical teams.
• Experience in banking or financial services and familiarity with data model technology operational risk and regulatory expectations.
• Experience defining initiative objectives key results roadmaps delivery plans operating routines and executive-level performance reporting.
• Bachelors or advanced degree in Data Science Analytics Computer Science Engineering Statistics Mathematics Business or a related discipline.

Job Expectations:

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

Locations:

• 401 S. Tryon St. Charlotte NC
• 600 S 4th St Minneapolis MN
• 2700 S. Price Rd. Chandler AZ
• 2200 Concord Pike Wilmington DE

Pay Range

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 units risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process visitDisability 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.