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Vice President, Engineering – EPM
insightsoftware. Lead a global engineering organization across multiple EPM product lines .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading global engineering teams, driving cloud-native SaaS product development, and implementing Agile and DevOps practices. Proven ability to modernize legacy applications and enhance operational excellence through measurable metrics and strategic planning.
Highest-signal resume keywords
Cloud-Native SaaS ArchitectureAgile and Lean PrinciplesDevOps and Continuous DeliveryAI and Agentic ToolingDORA Metrics Improvement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
JavaC#JavaScriptTypeScriptTest AutomationContinuous IntegrationFeature FlagsProgressive DeliveryIncident ManagementCapacity Planning
Soft Skills
LeadershipMentoringCollaborationNegotiationContinuous Improvement
Tools & Technologies
SaaS Operational ExcellenceIdentity ManagementObservabilityMeteringTenant Provisioning
Certifications & Qualifications
BS in Computer ScienceBS in Computer Engineering
Industry Keywords
EPM Product LinesTechnical DebtCustomer MigrationsSecurity and CompliancePsychological Safety
Tech Stack
Tools & technologiesCloudJavaJavaScriptTypeScript
About the role
Key responsibilities & impact- Lead a global engineering organization across multiple EPM product lines
- Own how the EPM portfolio is built, shipped, and operated
- Define and execute modernization strategies for legacy applications
- Sequence modernization incrementally and protect production customers
- Reduce technical debt through measurable targets and executive reporting
- Plan and execute customer migrations from on-premise and single-tenant deployments
- Lead design and delivery of cloud-native, multi-tenant services
- Build shared platform capabilities including identity, observability, metering, tenant provisioning, and self-service environments
- Own SaaS operational excellence, including SLOs, error budgets, on-call, incident management, capacity planning, cost efficiency, and disaster recovery
- Embed security, privacy, and compliance into architecture and delivery pipelines
- Lead adoption of an agentic software development lifecycle
- Establish safeguards for AI-generated changes, including human review, testing, evaluation, provenance, traceability, and secure data handling
- Redesign engineering workflows, roles, and skills for agentic delivery
- Partner with Product to deliver trusted customer-facing AI capabilities for finance users
- Build production AI foundations including model and prompt management, retrieval, evaluation, and monitoring
- Apply responsible-AI practices including explainability, auditability, tenant isolation, and human-in-the-loop controls
- Own DORA outcomes and quarterly improvement targets across product lines
- Implement test automation, continuous integration, trunk-based development, feature flags, and progressive delivery
- Improve reliability through SLOs, error budgets, and blameless post-incident reviews
- Shift security left through automated scanning, dependency management, vulnerability management, and secure-by-default pipelines
- Report engineering, quality, operations, and system performance to executive management
- Lead staffing, mentoring, and development of high-performing teams across disciplines and geographies
- Collaborate with architects, product managers, engineering managers, and developers on technical direction
- Drive engineering roadmaps, operational plans, and delivery commitments in an Agile/Lean environment
- Manage departmental budgets and resources, including employees, contractors, and suppliers
- Negotiate vendor contracts and statements of work
- Build a culture of ownership, psychological safety, continuous improvement, and customer focus
- Evolve software development practices, tooling, reporting, and methodology
Requirements
What you’ll need- BS in Computer Science, Computer Engineering, or a related technical discipline
- Prior experience serving as a Vice President of Engineering
- 10+ years of progressive engineering leadership experience
- 10+ years of software development experience
- At least 5 years building and running cloud products using Java, C#, and JavaScript/TypeScript
- 7+ years leading multiple Agile teams and programs
- Expert understanding of Agile and Lean principles
- 5+ years driving full DevOps and continuous delivery practices
- Demonstrated track record of improving DORA metrics and software quality at scale
- 3+ years managing global engineering teams and suppliers across multiple products
- Experience with teams combining full-time employees and contractors
- Experience modernizing legacy or on-premise enterprise applications to cloud-native SaaS, including customer migrations
- Hands-on leadership experience with multi-tenant SaaS architecture and production operations, including SLOs, incident management, and on-call
- Demonstrated experience using AI and agentic tooling to measurably improve engineering productivity and quality
- Proven ability to manage multiple product lines and meet release commitments
- Experience negotiating contracts and SOWs with vendors
- Background checks are required for employment where permitted by country, state/province
Benefits
Comp & perks- Base salary range of $212,000–$265,000 per year
- Additional bonus eligibility may apply
- Equal employment opportunity
- Confidential handling of employment information according to EEO guidelines