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Wells Fargo

Senior Lead Data Product Management Consultant – Auto Data & Insights

Wells Fargo

. Own and communicate the vision, strategy, and roadmap for Auto Finance data products .

Posted 10/5/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management for data products, including vision, strategy, and roadmap development, while effectively collaborating with cross-functional teams to deliver scalable solutions. Proficient in translating complex business needs into actionable product requirements and managing stakeholder relationships in a fast-paced environment.

Highest-signal resume keywords
Data Product ManagementStakeholder ManagementData Engineering ConceptsAgile Product DeliverySQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModelingData PipelinesData IntegrationAPIsETL/ELTData WarehousesCloud Data PlatformsProduct Vision DevelopmentBacklog ManagementOutcome Definition
Soft Skills
Communication SkillsFacilitation SkillsInfluencing SkillsProblem-SolvingAccountability
Industry Keywords
Auto LendingConsumer LendingFinancial ServicesRegulatory ReportingOperational Processes

Tech Stack

Tools & technologies
CloudETLSQL

About the role

Key responsibilities & impact
  • Own and communicate the vision, strategy, and roadmap for Auto Finance data products
  • Lead product discovery with stakeholders to define problems, user needs, target outcomes, success measures, and minimum viable product scope
  • Translate business needs into epics, features, user stories, acceptance criteria, and product requirements
  • Serve as product lead and strategic liaison across business, data engineering, architecture, data management, analytics, operations, risk, and control partners
  • Use knowledge of data models, pipelines, integration patterns, data warehouses, and platform capabilities to assess technical options and guide scalable solutions
  • Partner with engineering and architecture teams on target-state designs for new data sources and reusable data products
  • Define and monitor product outcomes and service measures, including adoption, quality, timeliness, reliability, compliance, and business value
  • Drive timely decisions, remove delivery barriers, escalate risks, and align stakeholders when priorities, requirements, or technical constraints conflict
  • Support Wells Fargo's Auto business by delivering enterprise data products for operational processes, analytics, regulatory reporting, and strategic initiatives

Requirements

What you’ll need
  • 7+ years of data product or data management experience, or equivalent demonstrated through work experience, training, military experience, or education
  • Strong product management capabilities, including product vision, roadmap development, use case intake, prioritization, backlog management, outcome definition, and lifecycle ownership
  • Experience in auto lending, consumer lending, or financial services
  • Working knowledge of data engineering concepts, including data modeling, data pipelines, data integration, APIs, ETL/ELT, streaming, data warehouses, and cloud or modern data platforms
  • Demonstrated experience leading data products, platforms, or large-scale data initiatives from strategy and discovery through delivery and adoption
  • Experience translating complex business and regulatory needs into epics, features, user stories, acceptance criteria, and executable delivery plans
  • Ability to partner with data engineers and architects, understand technical constraints, evaluate solution trade-offs, and drive decisions without being the primary developer
  • Strong stakeholder management, communication, facilitation, and influencing skills across business, technology, risk, control, and senior leadership partners
  • Ability to navigate ambiguity, create clarity, manage competing priorities, and drive accountability in a fast-paced, cross-functional environment
  • Fluency in agile product delivery practices, including product discovery, backlog refinement, sprint or Kanban planning, release readiness, and continuous improvement
  • Willingness to work on-site at one of the stated locations
  • Ability to use SQL to investigate data, validate assumptions, assess data quality, and support product decisions

Benefits

Comp & perks
  • Robust benefits
  • Competitive compensation
  • Programs designed to support work-life balance and well-being
  • Community investment recognition
  • Career growth opportunities
  • Relocation assistance is not available for this position