Lead Systems Operations Engineer
AI in this role
Lead workspace technology transformation programs and enterprise data engineering initiatives.
Wells Fargo is seeking a Lead Systems Operations Engineer with a strong techno-functional background to lead and transform the Workspace Technology (WT) space. This role combines strategic program management with controls governance, controls automation and operational excellence, driving enterprise-wide initiatives across mobility, endpoint management, compliance, automation, and modern workplace technologies.
In this role, you will:
Lead complex, broad impact initiatives including provision of high-level systems consultation for the technology teams.
Work as key participant in large scale planning of computer systems and network infrastructure for Systems Operations functional area
Review and analyze complex technical challenges, as well as escalated support issues related to core business solutions that require in depth evaluation of multiple factors, such as alternatives, enhancements, periodic systems reviews, or improvements to existing systems
Make decisions on technical changes and enhancements
Consult with engineering team on change design requiring solid understanding of technical process controls or standards that influence and drive new initiatives
Collaborate and consult with technical peers, colleagues, and mid to more experienced level managers to resolve systems support issues and achieve goals
Required Qualifications:
5+ years of Systems Engineering, Technology Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- 5+ years of experience in Data Engineering, Data Management, Data Governance, Data Lake, Analytics, or related technology functions.
- Lead and execute WT transformation programs across mobility, endpoint lifecycle, and workplace technologies.
- Own end-to-end delivery including planning, execution, tracking, and reporting of initiatives.
- Drive cross-functional collaboration across engineering, security, and business teams.
- Establish governance frameworks for program tracking, risk management, and reporting.
- Design and implement scalable, standardized, and automated processes across regions.
- Strong experience with SQL and large-scale data processing.
- Experience designing ETL/ELT pipelines and enterprise data models.
- Knowledge of data governance, metadata management, data quality, and data lifecycle management principles
- Experience with cloud-based data platforms and distributed data processing frameworks.
- Strong analytical, troubleshooting, and problem-solving skills.
- Leverage data analytics, dashboards, and automation for decision-making and reporting
- Experience supporting operational reporting, controls, risk, or compliance functions.
- Excellent communication and stakeholder management skills.
Job Expectations:
- Experience with enterprise data governance tools and metadata management platforms
- Knowledge of Workplace Technology domains such as Endpoint Management, Microsoft 365, OneDrive, Teams, Productivity Services, Mobility, Asset Management, AI Operations, or Collaboration Platforms.
- Experience with Python, Spark, Airflow, Databricks, Power BI, Tableau, Snowflake, Hadoop, or similar technologies.
- Familiarity with data quality frameworks and control testing.
- Experience supporting audit, risk, or regulatory initiatives.
Posting End Date:
27 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 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 Disability 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.
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.
How we score this
Lead Systems Operations Engineer at Wells Fargo scores 0 out of 100 for how much of the daily work is AI. That makes it AI Level 1 of 4 (Little AI). The level is about AI in the job, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where systems engineering was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Systems Engineering, Data Engineering, Automation, Data Governance, and ETL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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