Data Product Management Consultant

About this role:

Wells Fargo is seeking a Data Product Management Consultant

In this role, you will:

• Participate in low to moderate complexity data product initiatives and identify opportunities for data roadmap improvements within scope of responsibilities that drive data enablement and capabilities across platforms and utilities
• Review and analyze basic business, operational, or technical assignments or challenges that require research, evaluation, and selection of alternatives to drive low to moderate-risk data enablement strategies, roadmaps, and deliverables
• Present recommendations for resolving low to moderately complex data product situations, and exercise independent judgment while developing expertise in data, analytics, and integration needs of line of business partners that impact prioritization, roadmap, and architecture design
• Collaborate and consult with functional colleagues, internal partners, and stakeholders to understand business requirements and prioritization and ensure data product solutions are built for optimal performance
• Manage low to moderate-complexity datasets continuously focusing on the consumers of the data and their business needs, while adhering to set data governance and standards
• Participate in the creation and maintenance of data product roadmaps with detailed specifications, requirements, and flows for data capabilities
• Gather data requirements and document data needs from a variety of sources throughout the data product life cycle
• Communicate low to moderate complexity data problems and initiatives in a digestible manner to all audiences

Required Qualifications:

• 2+ 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
• 2+ years of experience in product management, data management, data strategy, analytics, business intelligence, technology delivery, or a combination of these disciplines.
• 2+ years of experience supporting Commercial Banking, Corporate Banking, Commercial Lending, Treasury Management, Commercial Real Estate, Syndications, or a related financial services domain

Desired Qualifications:

• Experience with Microsoft Fabric, including OneLake, Lakehouse, Data Warehouse, Data Factory, notebooks, semantic models, Real-Time Intelligence, and Power BI.
• Knowledge of Commercial Banking customer, relationship, organizational hierarchy, lending, credit, collateral, treasury, payments, profitability, and portfolio data domains.
• Experience with data mesh, data-as-a-product, domain-oriented ownership, data contracts, data marketplaces, or self-service analytics operating models.
• Experience defining reusable semantic layers, business measures, analytical models, APIs, or knowledge services.
• Familiarity with AI and generative AI enablement patterns, including Copilot experiences, semantic search, retrieval-augmented generation, vector search, and knowledge graphs.
• Working knowledge of SQL, data modeling, analytics, cloud lakehouse architectures, APIs, Spark, Python, or Fabric notebooks.
• Experience operating in a highly governed environment with risk, compliance, privacy, cybersecurity, records management, and model governance considerations.
• Ability to balance strategic product direction with hands-on backlog management and delivery execution.

Job Expectations:

• Ability to work on-site in accordance with the applicable location and organizational work arrangement.
• Ability to collaborate with stakeholders across India and United States time zones as business needs require.
• This position may require periodic participation in planning, governance, release, or executive stakeholder meetings outside standard local working hours.
• Final job profile, level, location strategy, compensation range, posting language, and screening questions are subject to Human Resources, Compensation, Legal, and Talent Acquisition review.

 

 

Posting End Date: 

19 Oct 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.