About this role:

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

Required Qualifications:

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

Desired Qualifications:

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.

Job Expectations:

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.

Posting End Date:

2 Jul 2026

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.

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b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.