Analytics Senior Manager

Wells Fargo & Company•San Antonio, TX

1d•$139,000 - $239,000•Hybrid

About The Position

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. 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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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
Drive solutions across the full lifecycle—problem framing, data design, model development, and insight delivery—within a scaled, reusable, and configuration-driven environment
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
Partner closely with senior leadership to deliver clear, actionable insights that improve risk clarity and influence decision-making
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
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