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Wells Fargo is seeking an Analytics Senior Manager in Branch Oversight & Support as part of Consumer Banking & Lending.

Front Line Monitoring (FLM) is evolving from a rule-based monitoring model to an AI-driven, agent-enabled analytics platform focused on speed, scale, and risk clarity. As part of this transformation, we are seeking a high-impact Analytics Senior Manager to lead advanced analytics initiatives and accelerate FLM's transition to its target-state lifecycle.

This leader will operate at the intersection of risk monitoring, advanced analytics, and AI-driven innovation-bringing a versatile leadership style, strong technologist mindset, and a passion for applying AI in practical, scalable ways. The role focuses on delivering solutions that improve detection of emerging risks while maintaining strong governance and audit defensibility, while helping shape how FLM operates going forward.

Are you looking for more? Find it here. At Wells Fargo, we believe that a meaningful career is much more than just a job. It's about finding all the elements that help you thrive, in one place. #LivingTheWellLife means you're supported in life, not just work. It means having a competitive salary, a robust benefits package, and programs to support your work-life balance and well-being. It means being rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we're recognized for it! Wells Fargo ranked in the top three on the 2024 LinkedIn Top Companies List of best workplaces "to grow your career" in the U.S. Learn more about the career areas and business divisions at wellsfargojobs.com.

What You Will Lead

• Next-Gen Monitoring Transformation: Lead the shift from traditional rule-based monitoring to an AI-driven, anomaly-focused model, shaping how FLM detects emerging risks with greater precision and speed
• End-to-End Analytics Lifecycle Ownership: Drive solutions across the full lifecycle-problem framing, data design, model development, and insight delivery-within a scaled, reusable, and configuration-driven environment
• AI & Innovation at Scale: Champion and operationalize AI, agentic workflows, and coding assistant tools (e.g., Copilot-enabled development) as core to how monitoring is designed, built, and executed-enabling faster, higher-quality delivery while maintaining strong risk and governance standards
• High-Impact Delivery with Visibility: Partner closely with senior leadership to deliver clear, actionable insights that improve risk clarity and influence decision-making
• Team & Capability Build-Out: Lead and develop a future-ready, AI-fluent analytics team, operating as a hands-on, versatile leader and technologist who can step in to solve complex problems, guide solution design, and accelerate delivery when needed
• Shaping the Operating Model: Play a key role in advancing FLM's target-state lifecycle by combining strategy, execution, and innovation to improve how monitoring is designed, delivered, and scaled across the organization

What We Are Looking For

• Advanced Analytics Leader: Deep experience in analytics, anomaly detection, and data-driven problem solving, with the ability to translate complexity into measurable outcomes
• Hands-On Technologist: Strong in Python and SQL, with working knowledge of SAS and modern visualization tools, and a track record of building end-to-end solutions
• AI Champion with Growth Mindset: Demonstrated enthusiasm for AI, LLMs, or intelligent automation, paired with curiosity and a willingness to continuously learn and apply new capabilities responsibly
• Executive Communicator: Able to simplify and present complex analytics to senior stakeholders and influence across Risk, Business, and Technology partners
• Versatile, High-Ownership Operator: Thrives in fast-paced, evolving environments, brings a solutions-oriented mindset, and flexes between strategic leadership and hands-on execution to drive outcomes
• People Leader: Builds strong teams, develops talent, and fosters a culture of accountability, innovation, and continuous improvement

Required Qualifications:

• 7+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of management or leadership experience

Desired Qualifications:

• Proven experience leading the design and implementation of automated risk monitoring or surveillance solutions across complex environments
• Strong ability to translate risk and control requirements into scalable, production-ready technical solutions
• Deep expertise in data-driven monitoring, analytics, and automation frameworks that improve speed, consistency, and coverage
• Demonstrated ability to reduce manual processes by building reusable, standardized monitoring capabilities
• Experience partnering across Risk, Front Line, Governance, and Technology teams to deliver sustainable solutions
• Strong understanding of front-line risk management (FLM), control environments, and regulatory expectations
• Track record of driving modernization initiatives, including scaling capabilities across multiple lines of business
• Ability to design solutions that adapt to evolving platforms, products, and risk landscapes
• Exceptional problem-solving skills with a focus on operational efficiency and risk mitigation
• Strong communication skills with the ability to influence senior stakeholders and align cross-functional teams

Job Expectations:

• This position offers a hybrid work schedule.

This position is not eligible for Visa sponsorship.

Posting Locations:

• 1525 W W T Harris Blvd - Charlotte, North Carolina 28262
• 550 S 4th St - Minneapolis, Minnesota 55415
• 2700 S Price Rd - Chandler, Arizona 85286
• 800 S Jordan Creek Pkwy - West Des Moines, Iowa 50266
• 114 N Beaumont St Bldg D - Saint Louis, Missouri 63103
• 4101 Wiseman Blvd Bldg 203 - San Antonio, Texas 78251

Required locations listed above.

Salary range is determined by location of the job. May be considered for a discretionary bonus.

Please note: Job posting may come down early due to volume of applicants.

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$139,000.00 - $239,000.00

Posting End Date:

13 Aug 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.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability 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.