Senior Manager Software Engineering

Verisk is a leading data analytics and technology partner to the global insurance industry. They are seeking a Senior Manager, Software Engineering to lead high-performing teams responsible for mission-critical, data-intensive platforms, focusing on leveraging AI in the software development lifecycle.

Responsibilities:

• Leads engineering teams that have fully embraced AI tooling as a first-class part of the SDLC
• Stabilizes and scales complex, compliance-sensitive platforms
• Enables strong tech lead autonomy without losing accountability
• Translates ambiguous organizational intent into clear guardrails, priorities, and operating norms
• Drives delivery across product, engineering, DevOps, and compliance

Requirements:

• 8–12+ years in software engineering or systems development
• 5+ years leading complex delivery through other engineers (formal or informal leadership)
• Proven track record leading engineering teams that have fully leveraged AI tools (Copilot, Cursor, Claude, Kiro, etc.) as a first-class part of SDLC, with demonstrated productivity gains in code generation, code review, and testing
• Hands-on experience with large, high-transaction data systems, including RDBMS-centric architectures (Oracle strongly preferred)
• Proven exposure to: Production change control, Incident response, Data integrity and operational risk
• Experience operating in regulated or audit-bound environments (SOC 2-like rigor is a strong positive)
• Experience designing systems that fully exploit the benefits of AI, leveraging agentic workflows, AI orchestration, prompt and context engineering, RAG, and MCP
• Evaluate architectural tradeoffs objectively
• Ask the right technical questions of tech leads
• Understand database-centric performance and scalability drivers
• Participate meaningfully in risk, incident, and readiness discussions
• Actively hires and upskills talent to thrive in the rapidly evolving AI landscape, normalizing AI-assisted development as a baseline expectation
• Creates autonomy through clarity, not control
• Exercises strong judgment in delegation, intentionally deciding when to lead, when to empower, and when to step in
• Is comfortable with tech leads owning design and implementation while providing constraints, risk signals, and organizational context
• Can operate calmly when: Expectations are misaligned, Authority boundaries are shifting, Organizational memory is inconsistent
• Actively coach and develop senior engineers
• Recognize burnout and sustainability risks early
• Be able to 'manage up' without becoming adversarial
• Communicate candidly but with emotional intelligence
• Turning ambiguity into minimal, visible operating guideposts
• Maintaining forward motion when priorities compete
• Balancing long-term platform health against short-term delivery pressure
• Coordinating across product, DevOps, security, and compliance without creating friction
• Insurance, fintech, or government-adjacent systems
• Cloud + legacy hybrid environments
• Transitioning teams through role ambiguity and operating-model change
• Prior responsibility spanning engineering + DevOps + platform operations