Senior Software Engineering Manager - Cybersecurity Reporting & Analytics

About the Role

Key Responsibilities

• 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.

Requirements

• 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, 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.

Nice to Have

• 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.

Qualifications

• Educational background is not explicitly specified in the description.

Benefits & Perks

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement