Wells Fargo is back in the office collaborating for fabulous outcomes!
This is a hybrid position. Role is posted in the cities where the position will be seated.
There is no Visa sponsorship or Visa transfers for this position.

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

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

Required Qualifications:

• 6+ years of progressive experience in software engineering
• 3+ years in a leadership or management experience
• Experience working with data and engineering teams to optimize reports, dashboards and ETL processes.
• Hands on knowledge of reporting and analytical tools such as Tableau, PowerBI, SAS, Python, Alteryx etc., as well as JIRA, Github and MS-PowerApps,
• Hands on experience leveraging Python, SQL, SAS, Cron, and other analytic enablement tools
• Strong book-of-work management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience leading risk projects to deliver complex data driven risk management solutions
• Hands-on ability to manipulate data and tools to prototype and present solutions
• Confident and self-motivated producer of original ideas and solutions, with sound judgment for when to escalate issues
• Strong written and verbal communicator with excellent presentation skills
• Strong experience building and managing distributed data systems, APIs, and cloud-native applications (GCP, AWS, or Azure preferred).
• Deep understanding of cybersecurity data sources (e.g., SIEM, endpoint logs, vulnerability scanners, threat intel feeds) and compliance frameworks (e.g., SOX, NIST, FFIEC).
• Proficiency with modern data tools and frameworks (e.g., Python, Spark, Kafka, SQL, Looker, Tableau).
• Experience in regulated environments such as financial services or healthcare is highly preferred.
• Demonstrated ability to communicate complex technical concepts to business stakeholders and senior leadership

Desired Qualifications:

• Experience with AI/ML applications in cybersecurity analytics
• Familiarity with tools like Splunk, BigQuery, and graph databases
• Background in agile program management and cross-functional leadership
• Knowledge of machine learning concepts is a plu

We are seeking a highly experienced and visionary Senior Software Engineering Manager to lead the engineering efforts for cybersecurity reporting and analytics within a large, complex financial institution. This role sits at the intersection of cybersecurity, software engineering, and data analytics, and is critical to enabling real-time, high-quality insights that support security operations, compliance, and executive decision-making.

In this role, you will:

• Lead a team of software and data engineers in building secure, scalable, and performant platforms for cybersecurity analytics and reporting.
• Partner with Cybersecurity, Threat Intelligence, Risk, Compliance, and Enterprise Technology teams to understand reporting needs and translate them into technical solutions.
• Design and oversee the development of data pipelines, data models, dashboards, and API integrations to deliver real-time and batch analytics use cases.
• Drive engineering excellence by adopting best practices in coding, testing, DevSecOps, and agile delivery.
• Ensure solutions meet stringent security, data privacy, and regulatory requirements.
• Lead modernization of legacy reporting systems by adopting cloud-native, open-source, and AI-driven technologies.
• Manage team performance, career development, hiring, and mentoring to build a high-performing, diverse engineering team.
• Own end-to-end delivery and support of critical analytics platforms used by Cybersecurity leadership, auditors, regulators, and senior executives.
• Monitor system health, reliability, and metrics to ensure continuous improvement and incident readiness.

Required Qualifications:

• 6+ years of progressive experience in software engineering
• 3+ years in a leadership or management experience
• Experience working with data and engineering teams to optimize reports, dashboards and ETL processes.
• Hands on knowledge of reporting and analytical tools such as Tableau, PowerBI, SAS, Python, Alteryx etc., as well as JIRA, Github and MS-PowerApps,
• Hands on experience leveraging Python, SQL, SAS, Cron, and other analytic enablement tools
• Strong book-of-work management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience leading risk projects to deliver complex data driven risk management solutions
• Hands-on ability to manipulate data and tools to prototype and present solutions
• Confident and self-motivated producer of original ideas and solutions, with sound judgment for when to escalate issues
• Strong written and verbal communicator with excellent presentation skills
• Strong experience building and managing distributed data systems, APIs, and cloud-native applications (GCP, AWS, or Azure preferred).
• Deep understanding of cybersecurity data sources (e.g., SIEM, endpoint logs, vulnerability scanners, threat intel feeds) and compliance frameworks (e.g., SOX, NIST, FFIEC).
• Proficiency with modern data tools and frameworks (e.g., Python, Spark, Kafka, SQL, Looker, Tableau).
• Experience in regulated environments such as financial services or healthcare is highly preferred.
• Demonstrated ability to communicate complex technical concepts to business stakeholders and senior leadership.

Desired Qualifications:

• Experience with AI/ML applications in cybersecurity analytics
• Familiarity with tools like Splunk, BigQuery, and graph databases
• Background in agile program management and cross-functional leadership
• Knowledge of machine learning concepts is a plus