Onboarding Program Manager

Burroughs•Elmhurst, IL
•Onsite

About The Position

The Onboarding Program Manager is responsible for designing, building, and continuously improving a cohesive, unified, and repeatable onboarding program for Burroughs’ technical workforce. This role sits within the Training organization and plays a critical role in accelerating speed to competency and confidence for new hires supporting Burroughs-serviced and installed products. This individual will leverage AI-enabled learning technologies, content curation and data-lake strategies, augmented reality (AR), and mentorship-style shadowing models to modernize onboarding across field service, technical support, and product-centric roles. The role blends instructional design, knowledge architecture, and emerging technology to ensure onboarding is scalable, measurable, and tightly aligned to operational outcomes.

Requirements

  • Systems thinking and learning architecture design.
  • Strong collaboration across technical and operational teams.
  • Ability to translate complex technical information into structured learning pathways.
  • Change leadership and influence without authority.
  • Data-driven decision making and continuous improvement mindset.

Nice To Haves

  • 2-5 years' experience supporting field service, ATM, POS, smart safe, robotics, or unattended technology environments.
  • Familiarity with AR/VR learning platforms.
  • Experience with AI-powered search or knowledge tools.
  • Background in instructional design models.
  • Experience aligning onboarding outcomes to service or customer performance metrics.

Responsibilities

  • Design and own a standardized, role-based onboarding framework that can be consistently deployed across products, regions, and technical roles.
  • Build structured onboarding journeys that blend digital learning, instructor-led or virtual sessions, mentorship-style shadowing, and hands-on labs and simulations.
  • Ensure onboarding content progresses logically from foundational knowledge to job-ready execution.
  • Leverage AI technologies to surface relevant onboarding content contextually, reduce time spent searching for technical information, and improve learner confidence during early field assignments.
  • Partner with relevant teams to aggregate technical content into a centralized, searchable knowledge data lake.
  • Apply metadata, tagging, and taxonomy standards to ensure content is discoverable and continuously usable.
  • Identify and inventory all pockets of technical content across the organization.
  • Curate, normalize, and structure content into a single source of truth for onboarding and early-tenure support.
  • Establish governance for content quality, ownership, and lifecycle management.
  • Incorporate augmented reality (AR) and immersive learning approaches to support equipment familiarity, installation workflows, and maintenance and troubleshooting procedures.
  • Collaborate with SMEs and vendors to align AR use cases to real-world field scenarios.
  • Design scalable mentorship-style onboarding models that pair new hires with experienced technicians or specialists.
  • Create structured shadowing plans, observation checklists, and skill validation milestones.
  • Ensure consistency and quality across regions while allowing for local operational nuance.
  • Define onboarding KPIs tied to operational outcomes such as time to first independent job, time to productivity, early-tenure error rates or callbacks, and new-hire confidence metrics.
  • Use data and feedback to continuously refine onboarding pathways and learning assets.
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