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Wells Fargo · 18 hours ago

Senior Data Product Management Consultant

Charlotte, NC

Full-time

Hybrid

Mid, Senior Level

4+ years exp

Wells Fargo is embarking on a multiyear transformation journey aimed at building a centralized capability to store, manage and analyze Financial Crimes Compliance Operations (FCO) data. They are seeking a Senior Data Product Management Consultant to lead data product initiatives, resolve data product issues, and collaborate with various teams to ensure optimal performance and design of data product solutions.

BankingFinancial ServicesFinTechInsurancePayments

No H1B

Responsibilities

Lead or participate in moderately complex data product initiatives and deliverables and contribute to large-scale planning related to driving data enablement and capabilities across multiple platforms and utilities

Review and analyze moderately complex data product challenges that require an in-depth evaluation of variable factors to drive data enablement strategies and roadmaps

Independently resolve moderately complex data product issues and lead team to meet data product deliverables while leveraging solid understanding of data, analytics, and integration needs of line of business partners that impact prioritization, roadmap, and architecture design

Collaborate and consult with peers, colleagues, and mid-level managers to ensure data product solutions are built for optimal performance and design analytics applications across multiple platforms, resolve data product issues, and achieve goals; may lead projects, teams or serve as a mentor for lower-level staff

Provide input on new use case intake, prioritization, product roadmap definition, and other critical business processes

Manage moderately complex datasets continuously focusing on the consumers of the data and their business needs, while adhering to set data governance and standards

Create and maintain data product roadmaps and documentation throughout the data product life cycle with detailed specifications, requirements, and flows for data capabilities

Serve as a liaison between data management, product teams, data engineering, and architecture teams throughout the data product life cycle

Qualification

Data product managementData governanceSQLData architectureAgile methodologiesBI toolsProduct strategyCertifications CAMSCertifications CDPOCertifications DAMACommunication skillsCollaboration skillsStorytelling skillsCross-functional teamwork

Required

4+ years of data product or data management experience, with a focus on data products, analytics platforms, or data governance tools, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Preferred

Ability to verbally articulate use cases with clarity to stakeholders across various levels of the organization, including executives, technical teams, and business units

Skilled in building trust and alignment with cross-functional partners, including engineering, data science, compliance, operations, and external vendors

Strong written communication skills for drafting product requirements, user stories, and stakeholder updates that are clear, concise, and actionable

Excellent storytelling and communication skills to convey data product value to non-technical audiences

Bachelor's degree in Computer Science, Data Science, Business, or related field Experience working with cross-functional teams (engineering, data science, compliance, UX, etc.)

Proven track record of launching data-driven products that deliver measurable business impact

Experience collaborating with data science and machine learning teams to productize models and drive measurable outcomes

Familiarity with advanced analytics techniques such as predictive modeling, clustering, and recommendation systems

Proficiency in SQL and ability to interpret complex datasets

Experience with data architecture, data pipelines, and ETL processes

Knowledge of Data governance, privacy, and compliance frameworks

Proficiency in Agile methodologies and tools (e.g., Jira, Confluence)

Strong understanding of BI tools (e.g., Tableau, Power BI) and data platforms (e.g., Snowflake, Databricks)

Ability to translate business needs into technical requirements and vice versa

Ability to define and drive OKRs, roadmaps, and product strategy

Certifications such as CAMS, CDPO, or DAMA