Senior Lead Data Product Management Consultant -- Auto Data & Insights

Wells Fargo

CHARLOTTE, NCFull-timePosted 22h ago

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About this role:

Wells Fargo is seeking a Sr. Lead Data Product Management Consultant to join our Auto business. This product-focused role will shape and drive the strategy, roadmap, and delivery of enterprise data products that support operational processes, analytics, regulatory reporting, and strategic business initiatives. The individual will partner with business stakeholders to identify needs, define measurable outcomes, translate priorities into executable features and user stories, and guide cross-functional teams from discovery through implementation and adoption. A strong understanding of data engineering, data models, pipelines, and platform capabilities is needed to evaluate feasibility, challenge proposed solutions, manage dependencies, and ensure products are scalable, governed, and fit for purpose; however, the role is accountable for driving the work from the product side rather than performing hands-on engineering development.

Success in this role requires a product mindset, strong ownership, and the ability to connect business outcomes with technical delivery. The ideal candidate can establish a clear product vision, manage intake and prioritization, maintain a delivery-ready backlog, and influence business, data engineering, architecture, governance, and control partners. Data engineering experience or fluency is important for understanding source-to-consumption data flows, assessing solution options, anticipating delivery risks, and helping teams make sound product and technical trade-offs.

Why Wells Fargo:

Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it – Wells Fargo once again ranked in the top five on the 2026 LinkedIn Top Companies list of best workplaces “to grow your career” in the U.S. Join us!


In this role, you will:

  • 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 before work enters delivery.
  • Translate business needs into clear epics, features, user stories, acceptance criteria, and product requirements that enable data engineering and delivery teams to execute effectively.
  • Serve as the product lead and strategic liaison across business, data engineering, architecture, data management, analytics, operations, risk, and control partners throughout the product lifecycle.
  • Use knowledge of data models, pipelines, integration patterns, data warehouses, and platform capabilities to assess technical options, challenge assumptions, and guide scalable product solutions.
  • Partner with engineering and architecture teams on target-state designs for new data sources and reusable data products without serving as the hands-on solution engineer.
  • Ability to use SQL to investigate data, validate assumptions, assess data quality, and support product decisions
  • 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.


Required Qualifications:

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

Desired Qualifications:

  • 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 effectively with data engineers and architects, understand technical constraints, evaluate solution trade-offs, and drive decisions without needing to be 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.


Job Expectations:

  • Willingness to work on-site at one of the stated locations on the job opening.
  • This position offers a hybrid work schedule.
  • Relocation assistance is not available for this position.

Posting Locations:

  • Charlotte, NC - 550 S. Tryon St.
  • Irving, TX - 401 Las Colinas Blvd.

Posting End Date: 

19 Aug 2026

*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 unit’s risk appetite and all risk and compliance program requirements.

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.

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Frequently asked questions

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