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Wells Fargo

Lead Data Risk Fusion Officer | Technology Risk Management

Posted 3 Days Ago
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Hybrid
Charlotte, NC, USA
Senior level
Hybrid
Charlotte, NC, USA
Senior level
Leads second-line oversight of enterprise data risk by developing advanced monitoring, graph-based analytics, AI-enabled automation, and integrated risk indicators. Identifies emerging, interconnected, and systemic risks across data, technology, and information security domains. Translates complex analytical findings into dashboards, reports, executive communications, and actionable insights for governance and business leaders. Provides technical guidance to risk officers and analysts while assessing data governance, quality, lineage, metadata, controls, incidents, and AI-related risks.
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About this role:
Wells Fargo is seeking a Lead Technology Risk Officer to serve as a second line risk professional responsible for providing independent oversight of enterprise data risk. This role will advance how data risk is identified, monitored, and assessed across the enterprise through combining deep data risk management expertise with advanced analytical capabilities, including knowledge graph technologies, automated and AI-enabled monitoring, and risk signal integration.
The Lead Officer will develop and apply innovative approaches to risk identification by leveraging graph-based analytics, automation, and artificial intelligence to identify emerging risk patterns, interconnected risk exposures, and potential failure scenarios across complex data ecosystems. The role requires expertise in data management, analytics, and emerging technologies, along with the ability to translate complex technical findings into actionable risk insights for business leaders, executive leadership, and governance forums.
In this role, you will:
  • Perform second line oversight across assigned data risk exposures, maintaining a current understanding of data governance, metadata, lineage, and data quality practices, along with associated risk indicators.
  • Lead the development and execution of advanced data risk monitoring, analytics, and oversight that identify emerging risks, risk concentrations, and shifts in enterprise data risk exposures.
  • Lead the design and implementation of AI-enabled and automated monitoring initiatives that improve risk detection, monitoring coverage, scalability, and the effectiveness of second line oversight.
  • Leverage knowledge graph technologies to model, query, analyze, and visualize relationships across data, systems, controls, business processes, and risk events to identify hidden dependencies, interconnected risks, and potential business impacts.
  • Integrate multiple risk indicators including data quality metrics, lineage breaks, control performance, incidents, issues, policy exceptions, metadata changes, etc. into a consolidated data risk perspective.
  • Perform scenario analysis and assessments of emerging data-related risks, including risks associated with AI, advanced analytics, and evolving data ecosystems.
  • Identify interconnected risks across data, technology, and information security domains, providing insights into potential business impacts and systemic risk conditions.
  • Deliver clear and actionable risk insights through analytical reporting, dashboards, visualizations, and executive-level communications that support risk-informed decision making.
  • Communicate complex analytical findings and emerging risk insights to business, technology, data management, and risk leaders in a clear and actionable manner.
  • Provide technical guidance to Data Risk Fusion Officers and analysts, promoting consistent analytical methodologies, quality standards, and effective risk oversight practices.

Required Qualifications:
  • 5+ years of Technology Risk experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Desired Qualifications
  • Experience supporting second line risk management, audit, compliance, or governance functions.
  • Strong knowledge of data management principles including data quality, lineage, metadata, governance, controls, data sourcing, and data requirements.
  • Experience leveraging knowledge graph technologies, graph analytics, or semantic technologies to identify relationships, dependencies, and emerging risk patterns across large and complex data sets.
  • Experience with data analytics platforms, SQL, Python, graph query languages (Cypher, SPARQL, Gremlin, or equivalent), data visualization tools, workflow automation solutions, and AI-enabled analytical platforms.
  • Experience implementing AI-enabled monitoring, intelligent automation, workflow automation, anomaly detection, or continuous monitoring capabilities.
  • Strong communication and stakeholder management skills with the ability to translate complex technical concepts into actionable business insights and influence decision-making across business, technology, and risk functions.
Work Locations
  • 401 S Tryon St - Charlotte, North Carolina 28282

Job Expectations
  • Required location(s) listed above. Relocation assistance is not available for this position.
  • This position currently offers a hybrid work schedule.
  • This position is not eligible for VISA sponsorship.
Posting End Date:
27 Sep 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.
#BI-Hybrid

Wells Fargo Charlotte, North Carolina, USA Office

355 W Martin Luther King, Jr BLVD, Charlotte, NC, United States, 28202

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