Lead Data Management Analyst

This role will act as the business-side product owner, partnering closely with technology, architecture, data governance, control, and business stakeholders to define requirements, prioritize delivery, improve data quality, and drive end-to-end execution.

In this role, you will:

• Own and drive delivery of strategic data platform initiatives as a Product Owner for CIB trade and position data.
• Translate business priorities and investment banking workflow requirements into clear product roadmaps, user stories, and technology solutions.
• Act as a bridge between business, technology, architecture, and governance teams to deliver scalable and controlled data products.
• Lead agile delivery ceremonies and support execution along with Scrum Master / delivery lead where needed.
• Drive the design and evolution of data flows across real-time streaming, ETL pipelines, and snapshot-based processing.
• Partner with engineering and architecture teams on modern data architecture, standards, and best practices for data access, lineage, documentation, controls, and remediation.
• Ensure the platform aligns with enterprise expectations around data quality, integrity, governance, and regulatory compliance.
• Identify new data sources and define frameworks to assess data suitability, quality, integration feasibility, and business value.
• Review complex business and technology problems, evaluate solution options, and make recommendations across tactical and strategic initiatives.
• Support the build-out of cloud-native and Lakehouse-oriented capabilities leveraging technologies such as S3, MongoDB, Iceberg, Flink, Parquet, and distributed data processing frameworks.
• Partner with stakeholders across business lines to resolve data quality issues, control gaps, and remediation actions.
• Serve as a trusted advisor to senior stakeholders on current-state data challenges, metadata quality, and future-state data strategy.
• Lead project teams, coordinate execution across functions, and mentor junior team members.

Required Qualifications:

• 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Up to 10 yrs of strong experience in data management, business analysis, product ownership, and project delivery within financial services / investment banking.
• Experience working with data platforms, ETL pipelines, real-time data streaming, snapshots, and enterprise data integration.
• Strong knowledge of data governance, data quality, metadata management, data modeling, lineage, and control frameworks.

Desired Qualifications:

• Proven experience driving initiatives through Agile/Scrum and/or traditional project management methodologies.
• Strong understanding of investment banking products, workflows, trade lifecycle, positions, and related data flows.
• Experience with DataLake / NetApp S3 / Lakehouse architectures and modern enterprise data platforms.
• Solid understanding of cloud-native architecture and exposure to Azure and/or GCP.
• Technical awareness of Java, Spring / Spring Boot, microservices, and modern distributed data ecosystems.
• Hands-on understanding of large-scale data processing technologies such as Apache Flink, Apache Iceberg, Parquet, and S3-based storage patterns.
• Strong SQL, Python and data analysis skills with the ability to assess data quality, trace issues, and recommend remediation.
• Familiarity with regulatory and governance expectations such as BCBS 239, GDPR, and enterprise data risk/control practices.
• Ability to engage with senior business and technology stakeholders, influence priorities, and drive alignment across competing demands.
• Excellent communication, documentation, stakeholder management, and problem-solving skills.
• Exposure to LLM ecosystems, including prompt engineering, RAG, and MCP, is a plus.

Job Expectations:

• Operate as the business-side owner for strategic data platform capabilities supporting CIB trades and positions.
• Deliver initiatives end-to-end — from requirements shaping and solution design through execution, governance, and adoption.
• Establish strong partnerships across business, technology, architecture, compliance, and data governance teams.
• Drive high standards for data quality, integrity, control, and documentation across the platform.
• Ensure solutions are scalable, resilient, well-governed, and aligned to enterprise data strategy.
• Provide thought leadership on modernizing legacy data flows into real-time and cloud-native architectures.
• Proactively identify risks, dependencies, and control gaps, and lead remediation with clear accountability.
• Contribute to enterprise-wide conversations on data standards, architecture patterns, and governance strategy.
• Bring structure, pace, and clarity to complex initiatives while maintaining strong execution discipline.
• Mentor team members and help build a culture of ownership, collaboration, and continuous improvement.

Posting End Date:

15 Oct 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.

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