Head of AI Enabled Business Systems

About the job

Responsibilities

• Define and own the company-wide business systems strategy, architecture, and multi-year roadmap.
• Establish a scalable application ecosystem across core functions, connecting upstream and downstream applications.
• Evaluate system acquisition, development, consolidation, integration, or retirement.
• Develop standards for system architecture, integrations, data ownership, automation, and application lifecycle management.
• Define an enterprise approach for evaluating and integrating AI tools, AI-enabled applications, and agentic capabilities into the business systems architecture.
• Own the portfolio of critical business applications, including platforms like Oracle Netsuite, Ironclad, and Ramp.
• Establish clear platform ownership, governance, administration, development, and support models.
• Improve the reliability, usability, scalability, and adoption of business-critical systems.
• Partner with Security and IT to ensure appropriate access controls, compliance, resilience, and vendor risk management.
• Establish standards for the adoption and administration of AI-enabled features and third-party AI tools connected to enterprise applications and company data.
• Partner with functional leaders to redesign workflows and eliminate unnecessary operational complexity.
• Identify opportunities to automate high-volume or manual processes using workflow platforms, APIs, AI, and emerging technologies.
• Evaluate and implement AI tooling, including AI assistants, copilots, intelligent workflow automation, and agentic solutions.
• Build reusable integration and automation capabilities.
• Establish metrics for process efficiency, system adoption, automation coverage, AI tooling adoption and impact, and operational quality.
• Create a coherent integration strategy across enterprise applications and data platforms.
• Improve the consistency and reliability of core business data across systems.
• Establish clear systems of record, data ownership, and governance for critical business entities.
• Define how AI tools and agents securely access, use, and interact with enterprise data, APIs, and systems of record.
• Partner with Data and Analytics teams to ensure operational systems produce trusted, accessible data.
• Lead major cross-functional systems initiatives such as CRM transformation, quote-to-cash, lead-to-revenue, procure-to-pay, hire-to-retire, financial systems modernization, AI-enabled workflow transformation, or global expansion.
• Develop clear business cases, program plans, governance structures, and success metrics for major investments.
• Coordinate stakeholders across business functions, Engineering, IT, Security, Finance, and external implementation partners.
• Ensure programs deliver measurable business outcomes.
• Build and lead a high-performing Business Systems organization.
• Define the operating model, organizational structure, and capabilities needed as the company scales.
• Hire, develop, and retain exceptional systems talent.
• Build AI fluency within the Business Systems organization and establish the technical capabilities required to evaluate, integrate, and operate AI-enabled solutions.
• Create a culture of strong ownership and customer orientation.

Requirements

• Experience defining and owning company-wide business systems strategy, architecture, and multi-year roadmaps.
• Experience establishing scalable application ecosystems across core functions.
• Experience evaluating system buy vs. build decisions.
• Experience developing standards for system architecture, integrations, data ownership, automation, and application lifecycle management.
• Experience defining enterprise approaches for evaluating and integrating AI tools, AI-enabled applications, and agentic capabilities.
• Experience owning critical business application portfolios.
• Experience establishing platform ownership, governance, administration, development, and support models.
• Experience improving reliability, usability, scalability, and adoption of business-critical systems.
• Experience partnering with Security and IT on access controls, compliance, resilience, and vendor risk management.
• Experience establishing standards for AI-enabled features and third-party AI tools.
• Experience partnering with functional leaders to redesign workflows and eliminate operational complexity.
• Experience identifying opportunities to automate processes using workflow platforms, APIs, and AI.
• Experience evaluating and implementing AI tooling.
• Experience building reusable integration and automation capabilities.
• Experience establishing metrics for process efficiency, system adoption, automation coverage, AI tooling adoption and impact, and operational quality.
• Experience creating integration strategies across enterprise applications and data platforms.
• Experience improving consistency and reliability of core business data.
• Experience establishing systems of record, data ownership, and governance.
• Experience defining how AI tools and agents interact with enterprise data and systems.
• Experience partnering with Data and Analytics teams.
• Experience leading major cross-functional systems initiatives.
• Experience developing business cases, program plans, governance structures, and success metrics.
• Experience coordinating stakeholders across various departments and external partners.
• Experience building and leading high-performing Business Systems organizations.
• Experience defining operating models, organizational structures, and capabilities.
• Experience hiring, developing, and retaining talent.
• Experience building AI fluency and technical capabilities within a team.
• Experience creating a culture of strong ownership and customer orientation.