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Lead Business Execution Consultant Data Products & Infrastructure

Job in Charlotte, Mecklenburg County, North Carolina, 28296, USA
Listing for: Wells Fargo
Full Time position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    Information Security & Data Protection, IT Business Analyst, Data Engineering
Job Description & How to Apply Below
About this role Wells Fargo is seeking a Lead Business Execution Consultant to own the technical implementation, governance, vendor coordination, and operationalization of data products supporting Branch Distribution Strategy & Analytics.

This role enables data products to move from concept to production. The successful candidate will secure approved data sources, manage data-vendor relationships, navigate governance and access requirements, design ingestion and integration approaches, and partner with Technology, Architecture, Security, and Data Management teams to establish scalable, controlled, and supportable solutions.

The role requires strong data-product judgment, cross-functional leadership, and the ability to translate business needs into practical implementation plans while operating within Wells Fargo risk, security, and compliance  this role, you will:

Technical implementation & integration

Translate business and product requirements into clear data, integration, platform, and operating requirements.

Design ingestion and integration approaches in partnership with Technology, Architecture, Security, and Data Management teams.

Establish the technical framework and platform architecture required to support the data product.

Implement or coordinate data pipelines, validation routines, monitoring, and operational controls.

Document source-to-target logic, dependencies, data definitions, operating procedures, and support models.

Data sourcing & vendor management

Identify, evaluate, and secure approved internal and external data sources needed to support branch distribution products and analytics.

Manage relationships with data vendors, including business requirements, product fit, service levels, issue resolution, renewals, and ongoing performance.

Coordinate vendor onboarding, due diligence, contracting inputs, data-use terms, access, and implementation dependencies with the appropriate partners.

Monitor data quality, delivery performance, usage, and value; escalate issues and recommend changes when vendor solutions do not meet business needs.

Governance, risk & operationalization

Navigate data access approvals, governance reviews, security assessments, architecture decisions, and compliance processes.

Manage data lineage, entitlements, retention, privacy, security, and permitted-use requirements.

Productionize and operationalize data products, including testing, release readiness, incident management, maintenance, and ongoing support.

Ensure solutions are scalable, reliable, controlled, documented, and supportable.

Identify implementation risks, resolve cross-functional issues, and communicate decisions, tradeoffs, and status to business and technical leaders.

Required Qualifications:

5+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, or education.

Desired

Qualifications:

Experience implementing and operationalizing data products in a complex, regulated environment.

Experience managing third-party data vendors, data-provider relationships, contracts, service levels, or vendor performance.

Experience with data sourcing, access approvals, governance, security, architecture, lineage, metadata, privacy, and compliance requirements.

Experience designing data ingestion, integration, pipeline, control, monitoring, and support approaches.

Ability to translate business needs into clear technical requirements and implementation plans.

Experience partnering with Technology, Architecture, Information Security, Data Management, Risk, Legal, and Procurement teams.

Working knowledge of SQL, data platforms, APIs, ETL/ELT processes, cloud or on-premises data architecture, and…
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