Senior Lead Data Science Consultant

Wells Fargo

. Lead strategy and execution of highly complex, large-scale data, analytics, and AI initiatives across business and technology functions .

Posted 9/28/2026full-timeUnited StatesSenior💰 $159,000 - $279,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading complex data, analytics, and AI initiatives, translating business needs into actionable strategies and ensuring successful implementation and adoption. Possesses strong communication skills to engage with senior leadership and manage cross-functional teams effectively.

Highest-signal resume keywords

Data Analytics LeadershipAI and Machine Learning ImplementationExecutive-Level CommunicationProgram and Project ManagementCloud Platforms and Business Intelligence Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonRSASPower BITableauAlteryxFinancial ModelingStatisticsData Governance

Soft Skills

Stakeholder ManagementInfluencing Without AuthorityProblem StructuringDecision-MakingRelationship Building

Tools & Technologies

Cloud PlatformsMachine Learning OperationsLarge Language ModelsGenerative AIWorkflow AutomationAPIs

Industry Keywords

BankingFinancial ServicesOperational RiskRegulatory ComplianceData Quality

Tech Stack

Tools & technologies

CloudPythonSQLTableau

About the role

Key responsibilities & impact

Lead strategy and execution of highly complex, large-scale data, analytics, and AI initiatives across business and technology functions
Translate ambiguous business needs into problem statements, roadmaps, workplans, data requirements, success measures, and implementation approaches
Own end-to-end initiative delivery from discovery and prioritization through implementation, adoption, and business-value measurement
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 for scalable AI and analytics solutions
Establish delivery frameworks, governance routines, and executive reporting
Advise senior leadership on data and AI strategies for complex business and technical needs
Provide vision and expertise on innovative solutions aligned with enterprise priorities, risk considerations, and customer outcomes
Build trusted relationships, reconcile competing priorities, and drive decisions and accountability across a matrixed organization
Translate analytical findings into recommendations, tradeoffs, investment choices, and action plans
Identify opportunities for AI, machine learning, automation, and advanced analytics to improve decision-making, productivity, controls, and client outcomes
Coordinate senior stakeholders across assigned initiatives
Develop executive-ready communications covering strategy, progress, impact, decisions, risks, dependencies, and actions
Facilitate senior leader and governance forums for technical and non-technical audiences
Influence without direct authority, resolve misalignment, and mobilize cross-functional teams
Respond to ad hoc leadership requests with concise analysis and recommendations
Ensure adherence to data management, model risk, privacy, information security, legal, compliance, and responsible AI requirements
Embed controls, documentation, traceability, and monitoring throughout initiative lifecycles
Partner with control functions to identify risks, clarify approval paths, and drive remediation
Promote data quality, analytical rigor, explainability, and sustainable adoption

Requirements

What you’ll need

7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equivalent demonstrated through work experience, training, military experience, or 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 and experience influencing stakeholders without direct authority
Executive-level written and verbal communication skills, including presenting complex topics to senior leaders and governance forums
Ability to structure ambiguous problems, establish priorities, manage dependencies and escalations, and deliver under aggressive timelines
Strong business acumen and judgment connecting data and AI investments to measurable business value, enterprise goals, and risk considerations
Experience leading AI-enabled capabilities, including use-case development, data readiness, model development or integration, implementation, adoption, and value measurement
Working knowledge of cloud platforms, machine learning operations, large language models, generative AI, workflow automation, APIs, and business intelligence tools
Hands-on fluency with SQL, Python, R, SAS, Power BI, Tableau, or Alteryx
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 (desired)

Benefits

Comp & perks

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
Incentive opportunities may be available