Sr. Automation & AI Enablement Analyst

White CapAtlanta, GA

About The Position

A position at White Cap isn’t your ordinary job. You’ll work in an exciting and diverse environment, meet interesting people, and have a variety of career opportunities. The White Cap family is committed to Building Trust on Every Job. We do this by being deeply knowledgeable, fully capable, and always dependable, and our associates are the driving force behind this commitment. About the Role At White Cap, this role sits at the center of our AI & Automation transformation. You will lead how business teams identify, evaluate, and adopt AI-powered solutions (including Copilot) to improve the way work gets done. This is a builder role—you won’t just execute existing processes. You’ll help design, refine, and scale how AI & automation are delivered across the organization.

Requirements

  • Typically requires BS/BA in a related discipline.
  • Generally 5-8 years of experience in a related field OR MS/MA and generally 3-5 years of experience in a related field.
  • Certification is required in some areas.

Nice To Haves

  • Experience with Microsoft Copilot / Digital Workplace tools
  • Exposure to: Power Platform (Power Apps, Power BI)
  • Intake or service management tools (e.g., ServiceNow)
  • Databricks (similar)
  • Experience working across multiple business domains (finance, ops, HR, etc.)

Responsibilities

  • Lead AI & Automation Intake + Discovery: Own the intake process for AI and automation opportunities across business teams.
  • Conduct discovery sessions to understand: Current processes, systems, and handoffs, Pain points, inefficiencies, and root causes.
  • Evaluate whether opportunities are best solved through: Automation, AI (e.g., Copilot, LLMs), Hybrid or agentic approaches.
  • Translate Business Needs into Solutions: Develop process flows, user stories & acceptance criteria, Data mappings and system dependencies.
  • Document end-to-end workflows, including integrations and risks.
  • Ensure solutions account for: AI variability (hallucinations, edge cases), Fallback logic and validation controls.
  • Enable Business Teams & Drive Adoption: Partner with business leaders to identify and prioritize AI opportunities.
  • Support adoption of tools like Microsoft Copilot across functions (Finance, Operations, etc.).
  • Lead working sessions, workshops, and enablement efforts.
  • Help teams build confidence and capability in using AI tools effectively.
  • Build & Scale the Operating Model: Contribute to and evolve: Intake frameworks, Templates and standards, Stage-gate / decisioning processes.
  • Help shape the AI Enablement / Champions Program.
  • Create repeatable, scalable processes for future cohorts.
  • Collaborate Across Teams: Act as the bridge between business and technical teams.
  • Coordinate handoffs to delivery teams for build and implementation.
  • Partner with: Delivery leads, Data & analytics teams, Risk, compliance, and architecture stakeholders.
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