About this role:

Wells Fargo is seeking a Data Product Management Senior Manager responsible for enabling data product design and delivery to drive business initiatives, strategies, and analytics, while incorporating governance set by Data Management. Serves as a bridge between data analytics, data management, and technology focusing on data integration, efficiency, and enablement across data platforms and utilities.

In this role, you will:

• Manage and develop teams of individual contributors or managers in roles with moderate complexity and risk executing against data product strategy and roadmaps to drive enablement and capabilities across platforms and utilities; engage and influence stakeholders, internal partners and peers associated with or affected by its outcomes
• Identify and recommend opportunities for data product roadmaps and data enablement solutions that impact multiple data domains and platforms, ensuring compliance with data governance and standards
• Determine appropriate strategy and actions of data product team to meet moderate to high-risk deliverables that drive the enablement of data availability for data intelligence, analytics, and reporting; interpret and develop policies and procedures for functions with moderate complexity within scope of data product responsibility
• Collaborate with and influence all levels of professionals, including senior managers, business, risk partners, and technical professionals within Enterprise Data Management and Technology
• Provide recommendations on best practices, methods, and tools to support and design innovative data products enabling data availability for data intelligence, analytics, and reporting
• Act as a catalyst to socialize capabilities, features, use case studies, and other relevant artifacts to advance the value of data enablement and productization across the enterprise
• Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives in aligned department or business group
• Develop and guide a culture of talent development to meet business objectives and strategy

Required Qualifications:

• 7+ years of data product or data management or leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of management or leadership experience
• 3+ years building agentic product capabilities that strengthen data controls and governance.
• 1+ years with Data Hub capabilities used to drive Data Management and Governance functions.
• 5+ years of experience leading large-scale global data initiatives
• 5+ years of experience with data governance, including key data element identification, profiling, data lineage, data requirements, and quality rule documentation
• 5+ years of experience working in financial services industry, particularly in finance and risk domains including Liquidity Risk and Regulatory Reporting

Desired Qualifications:

• Agentic AI, Generative AI, machine learning, automation, and intelligent workflow technologies.
• Proven success evaluating, selecting, and implementing AI-driven solutions in enterprise environments.
• Understanding of responsible AI, governance, data privacy, risk management, and operational controls.
• Experience defining AI-enabled operating models and driving organizational adoption and change.
• Experience building and scaling custom applications, platforms, and digital products.
• Ability to assess technology options and make investment decisions based on business value, scalability, and ROI.
• Experience with AI, automation, low-code, data, integration, and enterprise technology ecosystems.
• Experience developing product strategy, roadmaps, reusable capabilities, and shared platform services.
• Strong executive presence with the ability to influence senior leaders and align stakeholders around a common vision.
• Experience leading complex technology initiatives in Agile environments and delivering measurable business outcomes.
• A BS/BA degree or higher in science or technology

Job Expectations:

• Ability to work on-site at approved location listed
• Relocation assistance is not available for this position

Job Location

Irving TX

Posting End Date:

*Job posting may come down early due to volume of applicants.