Data Product Management Consultant

Wells Fargo

. Support strategic data and reporting capabilities within the Consumer Data Products portfolio .

Posted 11/9/2026full-timeUnited StatesJuniorMid-Level💰 $87,000 - $154,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data product management and analytics, with a strong focus on data quality, governance, and reporting modernization. Proficient in SQL and experienced in agile methodologies, capable of translating business requirements into actionable data strategies.

Highest-signal resume keywords

Data Product ManagementSQL ProficiencyAgile Scrum FrameworkData Quality ControlsFinancial Services Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data DiscoveryUser Story WritingData Validation TestingData ProfilingData MappingData LineageMetric DefinitionsReconciliationAI ConceptsData Quality Audits

Soft Skills

Excellent Writing SkillsCommunication Skills

Tools & Technologies

Google BigQueryTeradataHadoopSparkPower BITableauAlteryxMicrosoft Office

Industry Keywords

Consumer Data ProductsData GovernanceData QualityMetadata PoliciesFinancial Services Industry

Tech Stack

Tools & technologies

BigQueryHadoopSparkSQLTableau

About the role

Key responsibilities & impact

Support strategic data and reporting capabilities within the Consumer Data Products portfolio
Perform data discovery, user story and requirements writing, and hands-on user acceptance testing
Support initiatives to modernize WF Business field reporting and consolidate fragmented reporting data onto strategic platforms
Analyze and help manage complex datasets, focusing on business definitions, data lineage, quality, reconciliation, controls, and reporting and AI consumer needs
Develop prototype designs for innovative data capabilities supporting field reporting, performance and portfolio insights, analytics, and responsible AI enablement
Define and execute data validation and reconciliation testing before release
Partner with AI, analytics, and technology teams to translate business requirements into executable data requirements
Identify data quality metrics and execute data quality audits
Document data governance, data quality, and metadata policies, standards, tools, processes, and procedures
Support communications and documentation related to requirements, design decisions, issue closure, and remediation updates
Gather data requirements and document data needs throughout the data product life cycle
Communicate low- to moderate-complexity data problems and initiatives to all audiences
Support root cause analysis through data profiling, data or business analysis, and data mapping
Document or maintain business and technical metadata with business and technology partners

Requirements

What you’ll need

2+ years of data product or data management experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, or education
Knowledge of modern data and analytics ecosystems, including Google BigQuery, Teradata, Hadoop, Spark, Power BI, Tableau, Alteryx, or comparable 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
Experience working in an agile scrum framework, including backlog refinement, user stories, acceptance criteria, sprint planning, demonstrations, and user acceptance testing
Proficiency with all Microsoft Office applications
Ability to construct PowerPoint presentations for executive communications
Experience working with data in the financial services industry
Excellent writing skills

Benefits

Comp & perks

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
Incentive opportunities may be available