Software Engineering Senior Manager- Data Engineering and GenAI

About this role:

Wells Fargo is seeking a highly motivated Senior Engineering Manager to lead data engineering teams within the HR Information Technology organization. This role will drive innovation shape the data strategy and oversee the design development and delivery of scalable data engineering solutions across the HR data ecosystem. You will own strategy and execution for enterprise data initiatives Cloud engineering Data Lake/lakehouse and data products - 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 enterprise architecture frameworks 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.

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:

• 6 years of IT experience including 6 years in Data engineering and 3 years in engineering leadership and people management.
• 6 years of Data Engineering experience with strong expertise in driving migration from legacy data platforms to cloudnative lakehousebased architectures
• 3 Years of experience in transformation of legacy data framework to modern stack in private or public cloud.
• 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 modernized applications using Microservice architecture.
• Cloud-native engineering experience serverless managed Spark event-driven architectures.
• Familiarity with containerization (Docker K8s) and workflow operators.
• Knowledge of data governance platforms (Collibra Alation Purview).
• Experience implementing lineage observability drift detection.
• 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 including retrieval systems embeddings chunking strategies and agentic AI workflows.

Job Expectations:

• Responsible for designing developing optimizing and maintaining metadatadriven scalable highperformance data engineering frameworks that power critical data ecosystem in the HR space.
• Define and execute the enterprise data engineering roadmap aligned to business priorities.
• Lead and mentor data engineering teams delivering scalable secure and highquality data solutions.
• Partner with architecture product analytics and risk teams to drive datadriven decision making.
• Track industry trends evaluate relevant tools/platforms and adapt the best practices
• Drive innovation by introducing emerging AI technologies frameworks and best practices to improve decisionmaking automation and predictive insights.
• Drive agile and DevOps practices acting as an escalation partner for teams removing impediments fostering experimentation and enabling predictable delivery across moderate to highrisk initiatives.
• Manage resources vendors and budgets while building a strong talent pipeline and cultivating a culture that supports innovation and longterm organizational capability.
• Lead and mentor data engineering teams delivering scalable secure and highquality data solutions
• HCM domain experience is a plus.
• Working knowledge of REST APIs Object Storage Dremio and CI/CD pipelines
• Proven ability to drive cross-functional programs and influence senior stakeholders.
• Excellent communication leadership and strategic thinking skills.
• 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
• 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

Posting End Date:

*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 units 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 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.

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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.