Director of AI Operations

Responsibilities AI Operations & Automation Delivery Own end-to-end delivery of AI automation use cases across GIS systems — from scoping and build through deployment and ongoing operations Manage the GIS AI project portfolio on the Jira AI Operations board, maintaining accurate status, priority, and resource alignment Drive automation initiatives across Workato, Snowflake, Salesforce, NetSuite, Ironclad, and other systems — reducing manual intervention and increasing throughput across GIS functions Participate in the MCP (Model Context Protocol) server infrastructure creations that connect Claude and other LLMs to enterprise systems via governed API patterns AI Builder Governance & Citizen Developer Program Administer and enforce the GIS Project Intake and Business Requirements — including role-based access tiers, controls, and project submission workflow Maintain the Project Registry, ensuring all Lovable/vibe-coded and AI-assisted apps are catalogued, BRD-linked, and security-reviewed Serve as the approval authority for new AI tool deployments within the GIS domain, coordinating with InfoSec, Legal, and IT Operations Systems & Data Integration Oversee the GIS data integration architecture — Salesforce, NetSuite, UKG, Zendesk, Clari, Ironclad, and others through Snowflake as the single source of truth Collaborate with peer leaders within GIS on cross-functional automation and AI-assisted workflows Team & Stakeholder Leadership Lead and develop a team of AI operations engineers, data engineers, and technical program managers within GIS Serve as the primary liaison between GIS and business stakeholders (Finance, Sales Ops, Legal, HR) for AI-driven system enhancements Partner with the VP of GIS and CFO organization on quarterly OKR planning, capacity management, and AI investment prioritization Present program status, risks, and outcomes to GIS leadership and executive sponsors on a regular cadence In the first 12 months, this leader will be evaluated on: AI project portfolio delivery rate % of committed AI Operations initiatives shipped on time and within scope Automation ROI — documented hours of manual effort eliminated per quarter across GIS functions System reliability — uptime and SLA adherence for Workato recipes, Snowflake views, and Lovable-based tools Stakeholder satisfaction — quarterly feedback scores from GIS business partners (Finance, Sales Ops, Legal, HR) Team development — evidence of skill growth, retention, and hiring progress within the GIS AI team Qualifications 8+ years of experience in enterprise systems, IT operations, or data/automation engineering, with at least 3 years in a leadership role Experience managing integration architecture across multiple SaaS systems, including data pipelines and API-driven workflows Demonstrated experience operating AI or automation programs in production — not just piloting or evaluating Comfortable presenting technical concepts and program status to executive audiences Strong project management skills; experience owning a portfolio of concurrent technical initiatives Hands‑on proficiency with at least two of: Salesforce, NetSuite, Snowflake, UKG, Workato, or similar enterprise platforms Experience with Snowflake Familiarity with MCP (Model Context Protocol) server patterns and LLM API integration Experience with Supabase, Lovable, or modern React‑based no‑code / vibe‑coding platforms Knowledge of GitHub Actions, automated security scanning, or DevSecOps practices Working knowledge of Azure AD / Entra ID, OIDC/SAML, PKCE flows, and RBAC design #J-18808-Ljbffr