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SailPoint

Identity governance and access security software

Vice President Enterprise Technology & Agentic Experience - Business Applications

IT OperationsConfirmed live in the last 24 hours
Full-timeRemote in USA$214.7k - $361.9k

About the Job

Requirements

  • 15+ years of progressive leadership experience in enterprise technology, business applications, IT transformation, and software engineering.
  • Proven track record leading enterprise application suites across HR (Workday), Finance (ERP/NetSuite), CRM/Post-Sales (Salesforce), and modern cloud data warehouses (Snowflake, BigQuery).
  • Demonstrated hands-on expertise in enterprise AI architecture, including LLM orchestration, Model Context Protocol (MCP), retrieval-augmented generation (RAG) pipelines, and agent frameworks.
  • Baseline fluency in modern AI development tooling (such as Cursor and Claude Code), Python-based AI/ML libraries (scikit-learn, pandas, numpy), deep learning frameworks (PyTorch), and foundational model hubs (AWS Bedrock, GCP Vertex AI).
  • Demonstrated success implementing federated IT operating models, platform engineering, or cross-functional fusion teams with robust governance, security, and access controls.
  • Bachelor’s degree in a related technical or business field, or equivalent professional experience.
  • Strong executive presence and demonstrated ability to build trusted advisory relationships with C-suite stakeholders and non-technical business partners.

Responsibilities

  • Champion and operationalize a federated (“co-build”) IT operating model, bridging enterprise software architecture with agile business domain teams across Finance, People (HR), and Customer Success/Post-Sales.
  • Direct and mentor high-performing 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—ensuring enterprise-grade security, role-based access control (RBAC), and data privacy.
  • Partner closely with functional executive leaders to identify operational friction, automate cross-system processes, and deploy intelligent digital coworkers that execute complex enterprise tasks safely.
  • Champion modern AI engineering practices using tools such as Cursor and Claude Code across development workflows, raising code quality and accelerating delivery while maintaining rigorous human-in-the-loop review standards.
  • Prioritize technology investments, maintain the cross-system enterprise roadmap, and establish operational metrics and return-on-investment benchmarks for enterprise automation and agentic solutions.
  • Complete executive onboarding and establish strategic alignment with the CIO, executive peers, and functional leadership across Finance, People (HR), and Customer Success.
  • Conduct a baseline assessment of enterprise application architecture, current IT operating models, and ongoing transformation initiatives.
  • Engage with team members across Financial Systems, People Technology, and the AI Lab to evaluate talent, workloads, tooling, and team culture.
  • Finalize the operational charter and governance framework for the Enterprise AI Lab.
  • Identify and prioritize the top two to three pilot candidate workflows across Finance and People operations for agentic automation.
  • Define the architectural blueprint for enterprise agentic platform infrastructure, including LLM gateways, Model Context Protocol (MCP) integrations, tool-calling frameworks, and retrieval-augmented generation (RAG) pipelines.
  • Develop an AI-first upskilling and enablement curriculum for existing Business Systems Analysts, Architects, and Engineers.
  • Establish formalized business co-build fusion pods with Finance, HR, and Customer Success stakeholders.
  • Launch initial prototypes and sandboxes for selected pilot workflows within the Enterprise AI Lab.
  • Complete team alignment and roll out the AI-first engineering upskilling roadmap.
  • Establish metrics and key performance indicators for operational velocity, friction reduction, and return on investment across agentic initiatives.
  • Deliver the first wave of production agentic solutions across Finance and HR, demonstrating measurable reductions in manual effort and cycle times.
  • Standardize core enterprise agentic architecture, data integrations, and security and role-based access control guardrails across business systems.
  • Operationalize the federated co-build model, enabling business domain teams to co-develop workflows alongside IT.
  • Scale resilient, autonomous workflows across key cross-functional business processes enterprise-wide.
  • Transition the Enterprise Technology organization into a modern, product-minded, AI-first engineering team.
  • Establish SailPoint’s enterprise technology and agentic operations as an industry benchmark for intelligent, autonomous business execution.
  • Travel periodically for domestic executive offsites, team strategy summits, vendor meetings, and key corporate events, typically 10–20%; attend an in-person interview during the selection process.

Desired Qualifications

  • An advanced degree (Master’s or MBA).

About the Company

SailPoint

Identity governance and access security software

SailPoint provides identity security solutions that help enterprises manage digital identities. Its products—IdentityIQ, IdentityNow, and File Access Manager—offer identity governance, access management, and file access control with automated workflows, policy enforcement, and analytics, using AI and ML to improve decisions and detect anomalies. The company differentiates itself with comprehensive governance across on-prem, cloud, and hybrid environments and a subscription-based model that combines software licenses, maintenance, and professional services. Its goal is to help customers meet regulatory requirements, reduce risk, and maintain strong security across large organizations, governments, and financial institutions.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Austin, TX
Founded
2004

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