Software Engineering Manager - Analytics Manager

About This Role

Wells Fargo is seeking a Software Engineering Manager - AI Solutions Manager (Analytics Manager)

We are seeking a highly technical and business‑savvy AI Solutions Engineering Manager to build and scale core platform capabilities for our Enterprise Predictive AI Platform, spanning on‑premise infrastructure and public cloud environments including Google Cloud and Microsoft Azure. In this role, you will own the delivery and adoption of enterprise AI/ML capabilities across the organization, ensuring they drive meaningful and measurable business outcomes.

You will serve as the connective tissue between product, engineering, data science, risk, and line‑of‑business stakeholders—shaping solution strategy, enabling foundational platform capabilities, orchestrating complex platform migrations, and ensuring AI solutions are delivered securely, scalably, and in compliance with enterprise standards. The ideal candidate combines deep technical expertise with strong stakeholder leadership to accelerate the organization’s ability to realize value from AI at scale.

In This Role, You Will

• Manage, coach, and develop a team of individual contributor engineer roles with low to moderate complexity and less experienced managers who are responsible for building high quality capabilities with modern technology
• Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release
• Engage with architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture to enable application migration paths to target architecture; for example, cloud readiness, application modernization and data strategy
• Function as the technical representative for the product during cross-team collaborative efforts and planning
• Identify and recommend opportunities for driving resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards
• Act as an escalation partner for scrum masters and the teams to make decisions and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement culture
• Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction, and guide design, as needed
• Interpret, develop, and ensure security, stability, and scalability within functions of technology with low to moderate complexity, as well as identify, manage and mitigate technology and enterprise risk
• Collaborate and consult with the Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices
• Interact directly with third party vendors and technology service providers
• Manage allocation of people and financial resources for technology engineering including career development and performance management for engineers and managers on the team
• Hire, mentor and guide talent development of direct reports to build the skills required to effectively design and deliver innovative solutions for the supported product areas/products
  
  

Required Qualifications

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 2+ years of Leadership experience
• 4+ years of experience in product management, solution management, program delivery, or technical product ownership, with a focus on AI/ML platforms, APIs, and/or cloud-native solutions
• 4+ years of experience across the AI/ML lifecycle, including data management, feature engineering, model development, deployment, monitoring/observability, and model governance and risk controls
• 2+ years of hands-on experience with public cloud technologies (Google Cloud Platform and/or Microsoft Azure) and container orchestration (Docker, Kubernetes, OpenShift)
  
  

Desired Qualifications

• Demonstrated experience leading technology governance initiatives related to resiliency, risk management, and regulatory execution within large-scale banking or financial services organizations
• Excellent communication and executive presence, with the ability to influence senior stakeholders and translate complex technical concepts into clear, actionable insights
• Proven success operating in large enterprise environments—preferably within regulated industries—and building platforms and capabilities at scale
• Experience with MLOps and LLMOps practices and tooling, including model registries, CI/CD pipelines, feature stores, prompt/chain/versioning, evaluation frameworks, guardrails, and monitoring
• Working knowledge of enterprise platform components and services such as Vertex AI, BigQuery, OpenShift, IBM Cloud Pak for Data (CP4D), and large-scale distributed model execution platforms (e.g., NX1 or equivalent)
• Proven ability to develop and execute executive-level roadmaps, dashboards, and reporting that clearly demonstrate business impact and risk posture
• Strong technical depth, with the ability to dive into APIs, SDKs, security controls, data contracts, and performance and reliability considerations
• Strong negotiation, stakeholder engagement, and cross-functional leadership skills, with a track record of driving alignment and execution across teams.
  
  

Reference Number

R-516956