About this role:

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

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.
• Bachelor’s 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.