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Wells Fargo
CHARLOTTE, NC; 141753-NC-Three Wells Fargo Center, Charlotte; WILMINGTON, DE; IRVING, TX; COLUMBUS, OH; MINNEAPOLIS, MN
Source: Wells Fargo careers · View original posting
From Wells Fargo's posting. “We” and “our” refer to the employer.
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 .
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
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
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
Ability to travel up to 10% of the time.
This position offers a hybrid work schedule.
This position is not eligible for Visa sponsorship.
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$119,000.00 - $206,000.00
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