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The Role
Lead data product initiatives end-to-end: define roadmaps, design data products and pipelines, ensure governance and quality, enable analytics and Gen AI use cases, collaborate with stakeholders and engineering, mentor teams, and drive enterprise data strategy and scalable solutions.
Summary Generated by Built In
About this role:
Wells Fargo is seeking a Lead Data Product Management Consultant.
In this role, you will:
23 Jul 2026
*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.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
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.
Wells Fargo is seeking a Lead Data Product Management Consultant.
In this role, you will:
- Lead complex data product initiatives, including those that are cross-functional with broad impact, and act as key participant in large-scale planning driving data enablement and capabilities across platforms and utilities
- 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 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 peer mentor
- Provide strategic input on new use case intake, prioritization, product roadmap definition, and other critical business processes
- Manage complex datasets continuously focusing on the consumers of the data and their business needs, while adhering to set data governance
- Create and maintain data product roadmaps throughout the data product life cycle with detailed specifications, requirements, and flows for data capabilities
- Design and maintain innovative data products, enabling data availability for data intelligence, analytics, and reporting
- Serve as a strategic liaison between data management, product teams, data engineering, and architecture teams throughout the data product life cycle
- 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
- Proven expertise in data analysis, data management, and data engineering.
- Strong proficiency in SQL, Python/R, and advanced analytics tools.
- Experience with cloud platforms (Azure, AWS, or GCP) and big data technologies.
- Ability to design and optimize data pipelines and workflows.
- Excellent problem-solving and critical-thinking skills.
- Strong communication and stakeholder management capabilities.
- Proficiency in Python programming with hands-on experience in developing and debugging code.
- Exposure to data science (modelling, ML, statistical forecast).
- SQL: Ability to write, read, and optimize queries for data extraction, transformation, and analysis.
- Experience with Google Data Cloud stack (Dataplex, big query, etc.).
- Experience with metadata management and data governance practices.
- Proficiency in data profiling and root cause analysis for data quality issues.
- Hands-on experience with machine learning, AI, and Gen AI applications.
- Familiarity with data visualization tools (Power BI, Tableau).
- Knowledge of data governance frameworks and best practices.
- Experience in leading large-scale analytics transformations.
- Ability to influence strategic decisions through data-driven insights.
- Lead end-to-end analytics projects, from requirement gathering to solution delivery.
- Design and implement scalable data models, pipelines, and governance frameworks.
- Partner with business stakeholders to identify opportunities for advanced analytics and predictive modeling.
- Provide thought leadership on data strategy, architecture, and emerging technologies.
- Mentor and guide junior consultants and analysts, ensuring adherence to best practices.
- Drive innovation by exploring and applying Gen AI, machine learning, reusability and automation techniques.
- Collaborate with cross-functional teams (Business, Technology, Operations) to align analytics solutions with organizational goals.
- Ensure compliance with data security, privacy, and regulatory standards.
- Fluent in agile ways of working and agile project management practices, proficient in creating efficient user stories, and other agile project artifacts.
- We are seeking a highly skilled, self-driven, results-oriented Lead Analytics Consultant to support Chief Administrative Office (CAO) data enablement and management activities. This role includes gathering and writing data use case requirements, performing data analysis, and developing data relationship designs. Candidates should be comfortable working independently, managing multiple workstreams, and engaging with business partners to define and deliver impactful and reusable data solutions. This role is critical to enabling CAO-wide data initiatives and will directly influence how data is leveraged across key business functions.
- The Lead Analytics Consultant is a senior-level role responsible for driving advanced analytics initiatives, managing complex data ecosystems, and providing strategic insights to influence business decisions. This role requires strong leadership in data analysis, data management, and solution design, along with the ability to mentor teams and collaborate across functions to deliver high-impact outcomes.
23 Jul 2026
*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.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
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.
Skills Required
- 5+ years of data product or data management experience
- Proven expertise in data analysis, data management, and data engineering
- Strong proficiency in SQL
- Proficiency in Python and/or R programming
- Experience with cloud platforms (Azure, AWS, or GCP)
- Experience designing and optimizing data pipelines and workflows
- Experience with Google Data Cloud stack (Dataplex, BigQuery)
- Experience with metadata management and data governance practices
- Proficiency in data profiling and root cause analysis for data quality issues
- Hands-on experience with machine learning, AI, and Gen AI applications
- Familiarity with data visualization tools (Power BI, Tableau)
- Experience leading large-scale analytics transformations
- Fluency in agile ways of working and ability to create user stories and agile artifacts
- Strong communication and stakeholder management capabilities
Wells Fargo Compensation & Benefits Highlights
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Healthcare Strength — Health coverage begins on day 1 with medical, dental, and vision, and includes mental health, prescription drugs, and preventive care often covered at 100% in-network. Well-being resources such as 24-hour clinical support and an Employee Assistance Program add to the breadth.
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Parental & Family Support — Paid parental leave provides up to 16 weeks for a primary caregiver (4 weeks for non-primary) alongside fertility benefits and up to a $35,000 lifetime reimbursement for adoption, surrogacy, and donor expenses. Backup child and adult care further supports family needs.
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Retirement Support — Retirement benefits feature a 401(k) with company matching contributions up to 6% of eligible pay. An employee stock purchase plan adds another avenue for long-term savings.
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The Company
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.2 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it — Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.” 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. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
Why Work With Us
We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. Wells Fargo continues to rank on the LinkedIn Top Companies lists of best workplaces “to grow your career.”
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Wells Fargo Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
