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Process Transformation Leader, AI-Enabled Workflows

Job in Juneau, Juneau Borough, Alaska, 99812, USA
Listing for: Pearson
Full Time position
Listed on 2026-06-20
Job specializations:
  • IT/Tech
    Change Management, AI Engineer (Applied/Software), AI Evaluation
Salary/Wage Range or Industry Benchmark: 130000 - 150000 USD Yearly USD 130000.00 150000.00 YEAR
Job Description & How to Apply Below

Process Transformation Leader, AI-Enabled Workflows

Location:

US - Remote

Role Overview

Pearson is fundamentally reimagining how educational products are built, from first concept through learner impact. The Workflow Transformation Analyst is a driving force in that reinvention—a hands‑on change agent who doesn’t just map today’s processes but architects tomorrow’s. Embedded within our new Process Innovation COE, you will partner with Product Management, Engineering, Content Development, Production, QA, and Operations to dismantle legacy bottlenecks, design AI‑native workflows, and stand up scalable operating models that dramatically accelerate speed to market and quality  you’re the kind of person who sees a broken process and can’t rest until it’s been rebuilt from the ground up—this role was made for you.

What

You’ll Own & Drive
  • Tear apart end‑to‑end workflows across content creation, production, QA, and release—then redesign them for radical efficiency, eliminating handoff waste and compressing cycle times.
  • Architect next‑generation operating models and workflow blueprints that become the gold standard across Pearson’s product portfolio— not incremental tweaks, but step‑change transformations.
  • Be the tip of the spear on AI‑native workflow design—identify and implement high‑impact automation opportunities using generative AI, agentic AI, and intelligent tooling to replace manual, error‑prone work with scalable, self‑improving systems.
  • Drive the delivery of digital content and online course programs with urgency and accountability—owning outcomes, not just timelines.
  • Own the full initiative lifecycle—planning, dependency mapping, risk mitigation, and delivery health—with a bias toward unblocking teams and accelerating momentum, not administering status reports.
  • Rally and align matrixed, cross‑functional teams around shared transformation goals—building coalitions, not just coordinating calendars.
  • Lead high‑energy workshops, transformation sprints, and workflow deep dives that produce concrete, implementable change—not slide decks that gather dust.
  • Hunt for and unlock cross‑Business Unit synergies—reusable patterns, shared tooling, and common operating models that multiply impact beyond any single team.
  • Establish transparent, data‑driven progress tracking that keeps transformation initiatives honest and on the rails—surfacing risks early and driving corrective action fast.
What Makes You a Fit
  • Deep expertise in workflow design, process transformation, and operating model architecture—you’ve redesigned how work gets done, not just documented it.
  • A track record of leading cross‑functional transformation initiatives in complex, matrixed organizations—managing dependencies, breaking logjams, and shipping results.
  • Exceptional communication and influence skills—you can sell a new way of working to skeptics and energize teams around bold change.
  • Hands‑on fluency with Agile, Scrum, or hybrid delivery models—and the judgment to know when to flex the framework.
  • Proficiency with modern workflow and collaboration tooling (Jira, Smartsheet, Confluence, SharePoint, Teams) and a hunger to push beyond them.
  • Working knowledge of AI/ML concepts and practical experience applying generative AI and prompt engineering to real business workflows.
  • Technical literacy (HTML, scripting, or low‑code platforms) sufficient to prototype and validate automation ideas—you don’t just spec it, you prove it.
  • You thrive in ambiguity, move fast when others are paralyzed, and bring contagious energy to high‑stakes transformation work.
Education

Bachelor’s degree required (or equivalent practical experience).

How We’ll Measure Impact
  • Measurable reduction in end‑to‑end cycle times for content creation and product delivery.
  • Elimination (not just reduction) of manual, error‑prone steps through automation and AI‑enabled workflows.
  • New operating models adopted at scale across multiple Business Units—not pilot‑only wins.
  • On‑time, high‑quality delivery of transformation initiatives with clear before/after evidence of impact.
  • Stakeholders actively requesting your involvement on their next initiative—the ultimate proof of value.

Compensation at Pearson is influenced…

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