Vice President, Engineering, EPM

Overview

Lead a global organization of engineers across multiple EPM product lines, owning how the portfolio is built, shipped and run through 2027, a transformation year covering legacy modernization, SaaS and multi-tenant capabilities, an agentic SDLC, and customer-facing AI features.

What you'll do

• Define and execute a modernization strategy for the EPM portfolio, choosing between re-platform, re-architect, strangler-pattern migration, and retirement for each product and component.
• Sequence modernization to deliver customer value incrementally, avoiding big-bang rewrites and protecting customers already in production.
• Reduce technical debt measurably, with a visible debt register, investment targets and progress reported to executive leadership.
• Plan and execute customer migrations from on-premise and single-tenant deployments with clear data-integrity, cutover and rollback plans.
• Lead the design and delivery of cloud-native, multi-tenant services, including tenant isolation, data partitioning, configuration and extensibility models.
• Build shared platform capabilities that product teams rely on: identity, observability, metering, tenant provisioning, and self-service environments.
• Own SaaS operational excellence: SLOs and error budgets, on-call and incident management, capacity planning, cost efficiency, and disaster recovery.
• Embed security, privacy and compliance (for example SOC 2, ISO 27001, GDPR) into architecture and delivery pipelines.
• Lead the shift to an agentic software development lifecycle in which AI agents participate in planning, coding, testing, code review, documentation and operations.
• Establish guardrails for agentic delivery: human review policy, test and evaluation gates, provenance and traceability of AI-generated changes, and secure handling of code and data.
• Redesign team workflows, roles and skills for agentic delivery, and coach engineering managers and engineers through the change.
• Measure the impact of agentic tooling rigorously, proving gains in flow, quality and reliability rather than tracking adoption alone.
• Partner with Product to deliver AI capabilities that finance users trust, such as natural-language analysis, forecasting assistance, anomaly detection and agentic workflows.
• Build engineering foundations for production AI: model and prompt management, retrieval over governed financial data, evaluation frameworks, and monitoring for accuracy, drift and cost.
• Apply responsible-AI practices suited to financial data, including explainability, auditability, tenant data isolation, and human-in-the-loop controls.
• Own engineering outcomes against the DORA metrics, with transparent baselines and quarterly improvement targets for every product line.
• Build quality in through test automation, continuous integration, trunk-based development, feature flags, and progressive delivery.
• Make reliability a product feature through service-level objectives, error budgets that inform prioritization, and blameless post-incident reviews.
• Shift security left with automated scanning, dependency and vulnerability management, and secure-by-default pipelines.
• Report development status, quality, operations and system performance to executive management using a consistent engineering scorecard, and resolve customer-impacting issues quickly and decisively.
• Lead multiple software development teams and product lines, including staffing, mentoring, and building high-performing teams across disciplines and geographies.
• Drive engineering roadmaps, operational plans and delivery commitments within an Agile/Lean environment.
• Manage departmental budget and resources, including the mix of full-time employees, contractors and suppliers, and negotiate contracts and SOWs with vendors.
• Build an engineering culture of ownership, psychological safety, continuous improvement and customer focus.
• Evolve the software development practice across the organization, including practices, tooling, reporting and methodology.

What you'll need

• BS in Computer Science, Computer Engineering, or a related technical discipline.
• Prior experience serving as a Vice President of Engineering, with 10+ years of progressive engineering leadership experience.
• 10+ years of software development experience, with at least five years building and running cloud products using Java, C#, and JavaScript/TypeScript.
• 7+ years leading multiple Agile teams and programs, with expert understanding of Agile and Lean principles.
• 5+ years driving full DevOps and continuous delivery practices, with a demonstrated track record of improving DORA metrics and software quality at scale.
• 3+ years managing global engineering teams and suppliers across multiple products, including teams built from a combination of FTE and contractor resourcing.
• Proven experience leading the modernization of legacy or on-premise enterprise applications to cloud-native SaaS, including customer migrations.
• Hands-on leadership experience with multi-tenant SaaS architecture and operational production responsibility, including SLOs, incident management and on-call.
• Demonstrated experience using AI and agentic tooling to measurably improve the productivity and quality of engineering teams across a product portfolio.
• Proven ability to manage multiple product lines and meet release commitments.
• Experience negotiating contracts and SOWs with vendors.

Nice to have

• Master's degree in a technical or business discipline.
• Experience shipping customer-facing AI or machine learning features to production, including LLM-based capabilities, retrieval-augmented generation and evaluation frameworks.
• Experience with EPM, FP&A, financial close or other finance applications where accuracy and auditability are critical.
• Experience operating under enterprise security and compliance frameworks such as SOC 2, ISO 27001 and GDPR.
• Familiarity with platform engineering and internal developer platforms.
• Broad experience across application platforms, middleware, frameworks, cloud providers (AWS, Azure) and programming languages.

Details

• Location: USA, remote.
• Base salary range: 212,000.00 to 265,000.00 USD annual; additional bonus eligibility may apply.
• Background checks are required where permitted by country and state/province.