Analytics Director at Wells Fargo leading efforts in fraud risk management and data analytics. Overseeing team strategies to mitigate employee fraud and compliance risks across the enterprise.
Responsibilities
Set strategy and lead execution of data research, analytics, and intelligence initiatives that support the business
Manage and develop teams to advance business objectives and deliver key initiatives
Collaborate with and influence stakeholders at all levels, including senior leaders, to provide strategic insights
Ensure compliance with data management, data governance, policy and regulatory requirements.
Oversee an enterprise-wide portfolio of standardized and ad hoc analytics to assess and improve business performance and employee fraud risk
Lead the development, accuracy, and automation of insights, dashboards, committee materials, business reviews, and KRI/KPI reporting
Direct fraud‑risk capability assessments across business lines and recommend control enhancements
Measure performance of Global Employee Fraud Monitoring & Fraud Policy operational teams
Guide analysis of boundary breaches, verify risk and root‑cause drivers, and facilitate accountability forums with SMEs
Deliver aggregated fraud‑risk insights and actionable intelligence to executives, business leaders, lines of defense, and regulators
Create and maintain governance documentation, routines, and controls for Frontline Monitoring programs
Foster a strong culture of talent development aligned to business strategy
Manage people and financial resources to meet commitments and strategic goals
Interpret and implement compliance and risk‑management requirements, partnering with stakeholders on regulatory and industry initiatives.
Requirements
8+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of management or leadership experience
Proficient with business Intelligence tools to design/promote reporting and insights: Tableau, Power BI, and/or Business Objects for visual depiction of fraud data
Proficient with Large Data Tool capabilities including but not limited to SAS, Python, SQL, visual basics and other reporting and analysis tools
Automation Experience
Experience working in large‑scale data environments with disparate data sources and complex database structures
Knowledge of ETL (extract/transfer/load) practices and standards
Experience with data validation and quality monitoring pre and post data processing
Experience aggregating, analyzing, and generating insights from structured and unstructured data.
Ability to identify anomalies, insights, and patterns across large and complex data sources.
Ability to synthesize and translate data into clear, actionable insights for executive audiences.
Experience analyzing employee relations, HR, allegation, and business application data to create integrated insights and support predictive modeling
Comprehensive knowledge of financial services organizational structures, functional roles, and capabilities to assess inherent risks
Comprehensive experience understanding and evaluating employee misconduct risks
Strong understanding of the allegation lifecycle, including sensitive matters, intake, investigations, root‑cause analysis, and customer impact
Advanced root‑cause analysis skills.
Benefits
Health insurance
401(k) matching
Flexible work hours
Job title
Head of Global Employee Fraud Monitoring, Fraud Policy Insights and Analysis – Executive Director
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