People AI Enablement Lead

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TX
Posted
6 days ago
Freshness
Confirmed live yesterday

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How this pay compares to similar roles

Similar $208k
$148k most similar roles pay here $269k

This listing doesn't post a salary. Most similar roles pay $168,875–$246,150.

Based on 239 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · People AI Enablement Lead

The People AI Enablement Lead joins the People Technology team to partner with business owners and engineering teams in re-engineering processes using emerging technology. This role sits at the intersection of business strategy, process design, and applied AI to evolve the operational model of the People organization. The individual will conduct structured assessments to identify workflows for intelligent automation, manage a prioritized backlog of deployment opportunities, and map data flows across platforms like Workday and ServiceNow. Key responsibilities include configuring AI-enabled workflows using APIs, MCP servers, and orchestration tooling while ensuring robust governance and human-in-the-loop checkpoints. The role requires technical fluency in SQL, scripting, and agentic workflow orchestration to solve complex problems regarding scalability, accuracy, and risk management within enterprise People systems, ultimately transforming manual tasks into sustainable, production-ready automated solutions.

What you'll do

  • Conduct structured assessments of People functions to identify workflows suitable for AI-enabled automation and improvement.
  • Evaluate automation opportunities based on business value, risk profiles, governance requirements, and measurable impact.
  • Build and maintain a prioritized roadmap of AI deployment opportunities tied to specific operational KPIs.
  • Map data flows across enterprise platforms including Workday, ServiceNow, and other internal knowledge repositories.
  • Configure and operationalize AI-enabled workflows using APIs, orchestration tooling, and integration layers.
  • Define human-in-the-loop checkpoints, auditability requirements, and governance controls for all deployed workflows.
  • Monitor and evaluate deployed agents against metrics like cycle time, accuracy, and reliability.
  • Maintain comprehensive documentation including workflow maps, data lineage, and operational runbooks.

What we're looking for

  • 8+ years of experience in enterprise technology, AI enablement, automation, integrations, digital transformation, or related technical roles.
  • Experience designing, building, or enabling automated workflows across enterprise systems and business processes.
  • Hands-on technical fluency with APIs, scripting, SQL/data querying, workflow orchestration, and enterprise application platforms.
  • Experience working with AI-enabled applications, agentic workflows, or intelligent automation solutions in an enterprise environment.
  • Strong understanding of software delivery and production lifecycle concepts including development, testing, deployment, monitoring, and support.
  • Ability to translate complex business requirements into scalable technology solutions while managing cross-functional stakeholders.
  • Experience working with structured and unstructured enterprise data across platforms like Workday or ServiceNow.
  • Knowledge of security patterns for AI, including authentication, authorization, and handling sensitive employee data.

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