About the position
About this role: Wells Fargo is seeking a Senior Lead Data Product Management Consultant. This role will provide oversight and independent leadership for two enterprise‑critical horizontal initiatives within the COO organization. This position serves as the senior strategic driver for both the firm’s data‑migration strategy to cloud/ADS environments and the enterprise’s data‑modernization agenda supporting AI enablement. In this role, you will: Act as an advisor to senior leadership to develop or influence strategies, objectives, plans, specifications, resources, and long-term goals for highly complex data platforms and utilities across multiple groups and functions Lead the strategy and resolution of highly complex and unique data product enablement initiatives and challenges requiring in-depth evaluation across multiple areas of the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking, and coordination of highly complex activities and guidance to others, while adhering to set data governance and standards Provide vision, direction, and expertise to senior leadership on implementing innovative and significant data product solutions that are large-scale cross-functional or companywide strategies Strategically engage with all levels of professionals and managers across the enterprise to ensure data product solutions are built for optimal performance and design analytics applications across multiple platforms and serve as an expert advisor to leadership Lead strategic initiatives: Own integrated program plans for ADS/cloud migration, AI readiness, and collaborate on data product delivery; drive execution to outcomes across the COO. Shape strategy: Partner with domain leaders to refine approach and sequencing for cloud migration, AI controls, and data product delivery. Engineer alignment: Coordinate scope, dependencies, milestones, and risks across Technology, Operations, Finance, Controls, Legal, and Compliance. Manage risk early: Anticipate regulatory, operational, and delivery risks; establish mitigation plans and escalation protocols. Socialize and adopt: Engage stakeholders at all levels to drive understanding, buy in, and adoption of new data capabilities.
Responsibilities
- Act as an advisor to senior leadership to develop or influence strategies, objectives, plans, specifications, resources, and long-term goals for highly complex data platforms and utilities across multiple groups and functions
- Lead the strategy and resolution of highly complex and unique data product enablement initiatives and challenges requiring in-depth evaluation across multiple areas of the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking, and coordination of highly complex activities and guidance to others, while adhering to set data governance and standards
- Provide vision, direction, and expertise to senior leadership on implementing innovative and significant data product solutions that are large-scale cross-functional or companywide strategies
- Strategically engage with all levels of professionals and managers across the enterprise to ensure data product solutions are built for optimal performance and design analytics applications across multiple platforms and serve as an expert advisor to leadership
- Lead strategic initiatives: Own integrated program plans for ADS/cloud migration, AI readiness, and collaborate on data product delivery; drive execution to outcomes across the COO.
- Shape strategy: Partner with domain leaders to refine approach and sequencing for cloud migration, AI controls, and data product delivery.
- Engineer alignment: Coordinate scope, dependencies, milestones, and risks across Technology, Operations, Finance, Controls, Legal, and Compliance.
- Manage risk early: Anticipate regulatory, operational, and delivery risks; establish mitigation plans and escalation protocols.
- Socialize and adopt: Engage stakeholders at all levels to drive understanding, buy in, and adoption of new data capabilities.
Requirements
- 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
- 5+ years in Program/Project Execution, Strategic Planning, or Data/Technology Implementation (work experience, training, military, or education).
Nice-to-haves
- Demonstrated success leading complex, multi‑disciplinary initiatives through influence in large enterprises.
- Experience operating in data and technology environments preferred.
- Experience with cloud migrations, data governance/controls, AI model or data risk management, or data product lifecycle.
- Working knowledge of financial services regulatory expectations relevant to data and AI.
- Strong cross‑functional communication and executive stakeholder management skills.
- Familiarity with portfolio management and OKR alignment.
Benefits
- 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
About the Senior Lead Data Product Management Consultant Opportunity
Wells Fargo Bank is currently hiring for a Senior Lead Data Product Management Consultant position based in Wilmington, DE, US. This is a full time opportunity suited to candidates who are ready to contribute their skills and grow within a dynamic team environment. Whether you're an experienced professional or looking to take the next step in your career, this role offers a chance to work on meaningful projects while developing new capabilities.
What the Role Involves
As a Senior Lead Data Product Management Consultant, you will be expected to collaborate closely with cross-functional teams, take ownership of key deliverables, and contribute ideas that help Wells Fargo Bank achieve its goals. Day-to-day responsibilities typically include planning and prioritizing tasks, communicating progress with stakeholders, maintaining high standards of quality, and adapting to evolving business needs. The exact scope of duties may vary depending on team structure and current priorities, so candidates should be comfortable with a role that can evolve over time.
Who Wells Fargo Bank is Looking For
Successful candidates generally bring a combination of relevant experience, strong communication skills, and a proactive attitude toward problem-solving. Wells Fargo Bank values individuals who can work independently as well as part of a team, who are detail-oriented, and who bring a positive, adaptable mindset to their work. Prior experience in a similar Senior Lead Data Product Management Consultant capacity is beneficial, though a strong willingness to learn and grow is equally important.
Compensation and Benefits
Compensation for this role is competitive and commensurate with experience. In addition to base pay, many roles at Wells Fargo Bank may include benefits such as health coverage, paid time off, opportunities for professional development, and a supportive work culture designed to help employees thrive both personally and professionally.
Why Join Wells Fargo Bank?
Joining Wells Fargo Bank as a Senior Lead Data Product Management Consultant means becoming part of a team that values collaboration, innovation, and continuous improvement. Employees are encouraged to bring their own perspective to the table, and the organization aims to foster an environment where people feel supported in doing their best work. This is a great opportunity for candidates who want their contributions to have a real, visible impact.
How to Apply
If you believe you're a strong fit for the Senior Lead Data Product Management Consultant role at Wells Fargo Bank in Wilmington, DE, US, we encourage you to review the full job details above and submit your application through the listed channel. This position was posted on 2026-02-27T22:48:13Z. Early applications are generally encouraged, as competitive roles like this one can attract a high volume of interest.
