You will report to the Senior Director of Corporate Systems and collaborate closely with Product and Engineering leaders across the organization. You Will: Own the technical strategy and long-term architecture for Smartsheet’s financial systems ecosystem across ERP, procurement, financial planning, payments, billing, tax, revenue processes, integrations, data, automation, and AI Lead, coach, and develop the Financial Systems Engineering organization responsible for platforms including NetSuite, Coupa, Planful, Stripe, ZoneBilling, Metronome, Avalara, and associated technologies Serve as the senior technology leader for NetSuite and ERP, ensuring the platform and surrounding architecture remain scalable, maintainable, secure, auditable, and aligned with the long-term needs of a complex SaaS business Provide technology leadership for major Finance transformation programs, including ERP reimplementation and modernization, establishing architecture, engineering standards, technical governance, delivery practices, and long-term platform direction Partner with Product Managers for Financial Systems and Billing & Monetization to translate product strategy and business priorities into technical roadmaps, architecture, investment decisions, and executable engineering plans Shape the technology architecture required to support evolving SaaS monetization models, including subscription, multi-year, usage-based, consumption-based, and AI-related pricing and billing models Partner across Product Engineering, Sales/GTM, Finance, and Corporate Systems to ensure pricing and packaging strategies can be represented reliably from quote and entitlement through provisioning, usage, billing, accounting, and revenue processes Establish clear architectural boundaries and systems of record across CRM, product, billing, ERP, payments, tax, planning, and downstream data platforms, reducing ambiguity, duplication, and unnecessary coupling Define the strategy for Finance systems data, including authoritative sources, data models, data contracts, quality, lineage, reconciliation, historical integrity, and reliable consumption by the enterprise data platform Partner closely with Data Engineering and Analytics teams to integrate Financial Systems with the enterprise data lake and ensure Finance data is timely, trustworthy, well-defined, and usable for financial reporting, operational analytics, reconciliation, and AI Drive stronger data quality and observability across Quote-to-Cash and Finance workflows, moving the organization from reactive reconciliation toward proactive detection and prevention of data integrity issues Establish an AI strategy for Financial Systems Engineering, identifying practical opportunities to improve engineering productivity, financial operations, controls, testing, support, reconciliation, and employee experiences Evaluate and introduce AI-assisted and agentic capabilities where appropriate, while ensuring financial integrity, security, auditability, human oversight, and appropriate controls for higher-risk processes Develop a strategy for automated testing and quality engineering across the Finance technology stack, including regression testing, integration testing, data validation, reconciliation, and AI-assisted test generation and analysis Establish modern engineering practices across enterprise platforms, including source control, peer review, CI/CD, environment management, automated testing, observability, documentation, release engineering, and operational readiness where supported by the underlying technologies Determine appropriate boundaries between native SaaS configuration, platform extensibility, APIs, integrations, automation, and custom software, avoiding unnecessary customization while enabling capabilities the business requires Partner with Integration Engineering to ensure critical Finance and Quote-to-Cash integrations use scalable patterns, explicit contracts, appropriate observability, resilient error handling, and well-defined operational ownership Own the technical health and lifecycle of the Financial Systems portfolio, proactively addressing architectural debt, platform limitations, fragile integrations, unnecessary customization, manual processes, and recurring operational problems Establish architecture reviews, technical standards, engineering metrics, platform health reviews, and other mechanisms that continuously improve the maturity of Financial Systems Engineering Represent Financial Systems Engineering on executive steering committees, transformation governance forums, and major program reviews, clearly communicating architecture decisions, delivery status, risks, dependencies, investment needs, and tradeoffs Provide technical leadership across implementation partners and strategic vendors, ensuring system integrators and software providers operate within Smartsheet’s architecture, engineering, security, and delivery expectations rather than allowing vendors to define the long-term architecture Partner with Finance leadership, Accounting, FP&A, Procurement, Tax, Revenue, and other stakeholders to understand business strategy while maintaining clear technology ownership of architecture and engineering decisions Balance delivery of major transformation programs with operational reliability, roadmap commitments, technical debt reduction, platform modernization, security, controls, and long-term engineering investments Build strong partnerships across Finance, Product Engineering, Sales/GTM, Data, Security, AI & Automation, and Corporate Systems to ensure Financial Systems operate as part of a coherent enterprise architecture Recruit, develop, and retain engineering talent with a combination of Finance platform expertise, software engineering capability, systems thinking, and curiosity about the future of financial technology You Have: 10+ years of progressively responsible experience across financial systems, enterprise application engineering, ERP, software engineering, systems architecture, or related technical disciplines 5+ years of experience leading technical teams, including experience managing managers, senior engineers, architects, or other technical leaders Deep experience with NetSuite or comparable enterprise ERP platforms, with sufficient technical depth to lead architecture, challenge implementation decisions, and establish long-term platform strategy Demonstrated experience leading a major ERP implementation, reimplementation, or transformation program from architecture and design through implementation, stabilization, and ongoing evolution Strong understanding of financial busine