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 decision‑making. 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 cloud‑native, lakehouse‑based 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, Real‑Time 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 decision‑making, 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 metadata‑driven, scalable, high‑performance 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 high‑quality data solutions. • Partner with architecture, product, analytics, and risk teams to drive data‑driven 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 decision‑making, 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 high‑risk initiatives. • Manage resources, vendors, and budgets, while building a strong talent pipeline and cultivating a culture that supports innovation and long‑term organizational capability. • Lead and mentor data engineering teams delivering scalable, secure, and high‑quality 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: 22 Sep 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 focu