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Director – Customer Engineering
VeriskDirector leading AI strategy and customer engineering for Verisk, a global insurance data analytics company. Guiding enterprise AI engagements, incident response, governance, and engineering teams.
Posted 8/15/2026full-timeHolmdel • New Jersey • 🇺🇸 United StatesLead💰 $175,000 - $210,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI adoption and customer engagements, with a strong focus on engineering productivity and operational efficiency. Proven ability to mentor teams, establish best practices, and drive incident management in complex environments.
Highest-signal resume keywords
AI Adoption LeadershipGenerative AI KnowledgeAWS ExperienceIncident ManagementEngineering Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringCloud ComputingDevOpsAI Orchestration FrameworksKubernetesCI/CDEngineering Best PracticesTechnical MentorshipDigital TransformationEnterprise AI
Soft Skills
Relationship BuildingCross-Functional CoordinationDelivery Excellence
Tools & Technologies
AWSCloud-Native Architectures
Certifications & Qualifications
AWS CertificationAI/ML Certification
Industry Keywords
InsuranceFinancial ServicesSaaS
Tech Stack
Tools & technologiesAWSCloudKubernetes
About the role
Key responsibilities & impact- Lead AI adoption and customer AI engagements that deliver measurable business value
- Serve as the technical lead for customer AI engagements, providing architecture and delivery guidance
- Identify customer AI use cases that improve engineering productivity and operational efficiency
- Act as the final US escalation point for major customer issues and production outages
- Lead incident response, coordinate cross-functional teams, and drive timely resolution of critical issues
- Mentor Delivery Leads and engineering teams on AI technologies and engineering best practices
- Establish engineering standards, best practices, and delivery governance across Customer Engineering
- Build trusted relationships with customers and executive stakeholders while ensuring delivery excellence
Requirements
What you’ll need- 10+ years of software engineering, Cloud, or DevOps experience with at least 5 years in leadership roles
- Experience leading enterprise AI, Cloud, or digital transformation initiatives
- Strong knowledge of Generative AI, Agentic AI, LLMs, RAG, and AI orchestration frameworks
- Experience leading customer engagements, incident management, and engineering governance
- Experience with AWS, modern cloud-native architectures, CI/CD and Kubernetes
- Proven ability to mentor technical leaders and drive engineering excellence
- Experience in insurance, financial services, or SaaS organizations
- Experience leading globally distributed engineering teams
- Master’s degree in computer science, Engineering, or a related field (preferred)
- AWS and AI/ML certifications (preferred)
Benefits
Comp & perks- Health Insurance
- Retirement Plan
- Disability benefits
- Paid Time Off program
- Work flexibility
- Support, coaching, and training
- Competitive total rewards package
- Short Term Incentive