About this role:

Wells Fargo is seeking a Lead Data Product Management Consultant to join the Consumer Data Products (CDP) supporting the Consumer lines of business. CDP is rationalizing and modernizing consumer data across the Consumer data domains (e.g., Branch, Deposits, and Small Business), building next-generation analytic data repositories in the cloud, and developing strategic data capabilities that simplify the analyst and end-user experience. The team also supports adoption of these capabilities and retirement of legacy platforms that are inflexible and expensive to maintain.

This role will serve as a Lead Analyst for the WF Business data product team, initially focused on modernizing field reporting and establishing a trusted, strategic data foundation for banker and relationship manager insights. The work will expand into AI and generative AI enablement, including data and business requirements for banker productivity capabilities such as prioritized outreach, relationship overviews, recommended actions, and other insight-driven experiences.

Learn more about the career areas and lines of business at wellsfargojobs.com.

In this role, you will:

• Support strategic data and reporting capabilities within the CDP portfolio, including discovery, target-state design, story and requirements writing, backlog refinement, hands-on user acceptance testing, demonstrations, and engagement with bankers, relationship managers, reporting teams, and other users to understand needs
• Lead complex, cross-functional initiatives to modernize WF Business field reporting, consolidate fragmented reporting data onto strategic platforms, and plan delivery of trusted data solutions with broad business impact
• Review and analyze complex multi-faceted, larger scale or longer-term data product initiatives that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors to drive data enablement strategies and roadmaps, while adhering to set data governance and standards
• Make decisions in complex and multi-faceted situations requiring solid understanding of data, analytics, and integration needs of line of business partners to inform prioritization, roadmap, and architecture design, that influence and lead broader work team to meet deliverables and drive new initiatives
• Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers across business, reporting, data management, data engineering, architecture, risk, and technology teams to resolve issues, shape solutions, and achieve delivery goals; may lead projects, workstreams, teams, or serve as a peer mentor
• Provide strategic input on use case intake, prioritization, product roadmap definition, report migration sequencing, and readiness for future AI and generative AI capabilities
• Analyze and manage complex datasets with a continuous focus on business definitions, data lineage, quality, reconciliation, controls, and the needs of reporting and AI consumers, while adhering to data governance standards
• Create and maintain product roadmaps, detailed business and data requirements, process and data flows, acceptance criteria, and traceability from source data through reporting and AI-enabled experiences
• Design and maintain innovative data capabilities that improve data availability for field reporting, performance and portfolio insights, analytics, and responsible AI enablement
• Define and execute data validation and reconciliation approaches that confirm reporting accuracy, completeness, stability, and alignment to approved business rules before release
• Partner with AI, analytics, and technology teams to translate business opportunities into well-defined, responsible AI use cases and ensure the underlying data is accurate, explainable, governed, and fit for purpose
• Serve as a strategic liaison between data management, product teams, data engineering, and architecture teams throughout the data product life cycle
• Conduct research to understand industry trends in field reporting, banker productivity, analytics, and responsible AI or generative AI, and translate relevant ideas into practical product opportunities
• undefined

Required Qualifications:

• 5+ 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:

• Knowledge of modern data and analytics ecosystems, with experience in technologies such as Google BigQuery, Teradata, Hadoop, Spark, Power BI, Tableau, Alteryx, or comparable cloud, data, and business intelligence platforms
• Proficiency in SQL
• Experience defining requirements for enterprise reporting modernization, including source-to-target mapping, metric definitions, data lineage, data quality controls, and reconciliation
• Working knowledge of AI and generative AI concepts, including how trusted, governed data supports grounded and explainable AI-enabled experiences; direct AI delivery experience is preferred but not required
• Experience working in an agile scrum framework, including backlog refinement, user stories, acceptance criteria, sprint planning, demonstrations, and user acceptance testing
• Experience leading discovery across business, reporting, analytics, data, and technology stakeholders
• Proficiency with all Microsoft Office applications and the ability to construct PowerPoint presentations for executive communications
• Experience working with data in the financial services industry
• High degree of intellectual curiosity and desire to learn and discover
• Experience developing and publishing content with SharePoint and Confluence
• Excellent writing skills

Job Expectations:

• Ability to travel up to 10% of the time.
• This position offers a hybrid work schedule.
• This position is not eligible for Visa sponsorship.

Posting Location(s): 

• 401 S Tryon St. – Charlotte, North Carolina 28202F
• 550 S 4th St - Minneapolis, Minnesota 55415
• 2200 Concord Pike – Wilmington, Delaware 19803
• 401 Las Colinas Blvd. Bldg B – Irving, Texas 752039
• 3075 Loyalty Cir – Columbus, Ohio 43219

Pay Range
 

Posting End Date:

*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.

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.