About this role:

Wells Fargo is seeking a highly motivated Software Engineering Senior Manager to lead the data engineering teams within our HR Information Technology organization.

In this role, you will:

Manage, coach, and develop a team or teams of experienced engineers and engineering managers in roles with moderate complexity and risk, responsible for building high quality capabilities with modern technology
Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release
Partner with, engage and influence architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture and enable application migration paths to target architecture for example cloud readiness, application modernization, data strategy
Function as the technical representative for the product during cross-team collaborative efforts and planning
Identify and recommend opportunities for driving escalated resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards
Determine appropriate strategy and actions to act as an escalation partner for scrum masters and the teams to meet moderate to high risk deliverables and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement
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 moderate complexity, as well as identify, manage and mitigate technology and enterprise risk
Collaborate with, partner with and influence 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 to ensure commitments are met and align with strategic objectives in technology engineering
Hire, build and guide a culture of talent development to have the skills required to effectively design and deliver innovative solutions for product areas and products to meet business objectives and strategy, as well as conduct performance management for engineers and managers

Required Qualifications:

6+ years of Software Engineering 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:

This role is responsible for driving innovation, shaping the Data, Cloud and AI strategy, and overseeing the development and implementation of engineering solutions that enhance risk management, controls, financial processes, and operational efficiency across the enterprise. You will own strategy and execution for enterprise data initiatives, Cloud engineering, Data Lake/lakehouse, data products and AI/Gen AI Initiatives -while managing high-performing teams of data engineers
As a transformational leader, you will collaborate closely with agile teams and product managers to deliver impactful outcomes through cloudnative architectures and modern engineering practices. You will bring deep technical insight into all components of the solution landscape and leverage that expertise to guide strategic decisionmaking. You will champion process improvements, operational excellence, and scalable capacity planning to ensure the organization is equipped to meet ongoing technical and business demands.
Lead and mentor data engineering teams delivering scalable, secure, and highquality data solutions
Strong understanding of AI and ML algorithms, spanning supervised/unsupervised learning, deep learning, transformers, optimization methods, and practical application of these techniques in production systems.
Define and execute the enterprise data engineering roadmap aligned to business and AI/analytics priorities
Partner with architecture, product, analytics, and risk teams to drive datadriven decision making
Proven ability to drive cross-functional programs and influence senior stakeholders.
Excellent communication, leadership, and strategic thinking skills.

Job Expectations:

6+ years of IT experience, including 6+ years in software development and 3+ years in engineering leadership and people management.
Strong handson background of developing large scale enterprise applications.
6+ years of Data Engineering experience, with strong expertise in driving migration from legacy data platforms to cloudnative, lakehousebased architectures
Architect and implement modern data platforms using Azure Fabric (OneLake, Data Factory, Synapse, RealTime Analytics, Power BI integration).
Design and build data pipelines and platforms on GCP using services such as : BigQuery, Dataflow/Apache Beam, Pub/Sub, Dataproc/Spark, Cloud Storage, Cloud Composer/Airflow, Dataplex, Data Catalog
Deep expertise in SQL, Python, and distributed data processing frameworks (Spark, Beam)
Experience with data modeling, ETL/ELT patterns, and Lakehouse architecture.
Hands on experience in building and modernizing applications using Microservice architecture.
Experience in building and deploying AI-driven applications in enterprise environments.
Drive innovation by introducing emerging AI technologies, frameworks, and best practices to improve decisionmaking, automation, and predictive insights.
Strong background in AI, Machine Learning, GenAI, or Data Science, including retrieval systems, embeddings, chunking strategies, and agentic AI workflows.
Proven hands-on experience building and deploying AI-powered applications in enterprise environments, including RAG, LLM APIs, and low-code GenAI solutions (Copilot Studio or equivalent).
Strong understanding of LLM evaluation metrics, golden dataset design, faithfulness/grounding checks, hallucination scoring, and automated model-graded evaluations.
Experience implementing observability and monitoring for AI systems (logs, traces, metrics, token usage, latency, and error tracking).
Oversee execution of endtoend AI initiatives, from experimentation and prototyping to productionization and adoption.
Ensure AI solutions align with enterprise governance standards and support responsible, ethical AI practices.

Posting End Date:

2 Mar 2026

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.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our 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.

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