VP, Enterprise Technology & Agentic Experience (Business Applications)

SailPoint•Austin, TX

5d•Remote

About The Position

SailPoint is seeking a transformational executive leader, enterprise architect, and player-coach to lead Enterprise Technology & Business Transformation. Reporting directly to the Chief Information Officer (CIO), this role leads Financial Systems, People Technology, and the Enterprise AI Lab. The position works with Finance, People (HR), and Customer Success / Post-Sales leaders to co-design autonomous workflows and architect the enterprise AI platform infrastructure needed to operate them safely at scale. The role champions a federated “co-build” IT operating model, bridging enterprise software architecture with agile business-domain teams. It oversees enterprise systems and AI teams, establishes enterprise-grade AI architecture and governance, and advances AI-assisted engineering practices while maintaining security, privacy, access controls, and human review standards. Success milestones include assessing the application portfolio and teams within the first 30 days; defining the AI Lab charter, pilot workflows, architecture blueprint, and enablement curriculum within 60 days; launching fusion pods and pilot sandboxes within 90 days; delivering production agentic solutions and standardizing architecture and security guardrails within six months; and scaling autonomous workflows and establishing an AI-first engineering organization within one year. The role is US-based remote and requires periodic domestic travel, typically 10–20%, for executive offsites, team strategy summits, vendor meetings, and corporate events. In-person interview attendance is required during the selection process. The estimated US base salary range is $214,700–$361,906. The role may also be eligible for the SailPoint Corporate Bonus Plan or role-specific commission and equity participation. Compensation varies by employment location and other factors.

Requirements

15+ years of progressive leadership experience in enterprise technology, business applications, IT transformation, and software engineering.
Proven experience leading enterprise application suites across HR (Workday), Finance (ERP/NetSuite), CRM/Post-Sales (Salesforce), and cloud data warehouses such as Snowflake or BigQuery.
Demonstrated hands-on expertise in enterprise AI architecture, including LLM orchestration, Model Context Protocol (MCP), RAG pipelines, and agent frameworks.
Baseline fluency with AI development tools such as Cursor and Claude Code; Python-based AI/ML libraries such as scikit-learn, pandas, and numpy; PyTorch; and model platforms such as AWS Bedrock or GCP Vertex AI.
Demonstrated success implementing federated IT operating models, platform engineering, or cross-functional fusion teams with robust governance, security, and access controls.
Strong executive presence and ability to build trusted advisory relationships with C-suite stakeholders and non-technical business partners.
Bachelor’s degree in a related technical or business field, or equivalent professional experience.
Periodic domestic travel as required, typically 10–20%.
In-person interview attendance is required during the selection process.

Nice To Haves

Advanced degree (Master’s or MBA).

Responsibilities

Champion and operationalize a federated (“co-build”) IT operating model across Finance, People (HR), and Customer Success / Post-Sales.
Lead and mentor teams across Financial Systems (ERP/NetSuite), People Technology (Workday), and the Enterprise AI Lab, fostering a product-minded engineering culture.
Design and govern enterprise AI platform infrastructure, including LLM gateways, Model Context Protocol (MCP) integrations, tool-calling frameworks, and retrieval-augmented generation (RAG) pipelines, with enterprise-grade security, role-based access control (RBAC), and data privacy.
Partner with functional executive leaders to identify operational friction, automate cross-system processes, and deploy intelligent digital coworkers to execute enterprise tasks safely.
Promote AI-assisted engineering practices using tools such as Cursor and Claude Code, improving code quality and delivery speed while maintaining human-in-the-loop review standards.
Prioritize technology investments, maintain the cross-system enterprise roadmap, and establish operational metrics and ROI benchmarks for enterprise automation and agentic solutions.
Assess enterprise applications architecture, IT operating models, transformation initiatives, team capabilities, workloads, tooling, and culture.
Establish the Enterprise AI Lab’s operational charter and governance framework; prioritize pilot workflows; and define the enterprise agentic platform architecture.
Develop and deliver an AI-first upskilling and enablement curriculum for Business Systems Analysts, Architects, and Engineers.
Establish business co-build fusion pods, launch pilot prototypes and sandboxes, and define KPIs for operational velocity, friction reduction, and ROI.
Deliver production agentic solutions, standardize enterprise architecture and security guardrails, and scale autonomous workflows across business processes.

Benefits

Medical, dental, and vision insurance.
Short-term and long-term disability coverage.
Life insurance and Accidental Death & Dismemberment (AD&D) coverage.
Supplemental life insurance options for employees, spouses, and children.
Flexible spending accounts for health care and dependent care, including a limited-purpose flexible spending account.
401(k) Savings and Investment Plan with company matching.
Flexible vacation policy.
Eight paid holidays annually.
Sick leave.
Paid parental leave.
Employee Assistance Program (EAP) and Care Counselors.
Voluntary legal assistance, critical illness, accident, hospital indemnity, and pet insurance options.
Health Savings Account (HSA) with employer contribution.
Potential eligibility for the SailPoint Corporate Bonus Plan or role-specific commission.
Potential eligibility for equity participation.