Pearson
Lead Specialist, Agile Business Analyst
Hoboken, NJ, United States · Full-time
Sponsorship not specified$120k-$140kDetected 1 day ago
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odds of building a lasting career here
50Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role65
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- 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.
- If 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.
Responsibilities
- Drive the delivery of digital content and online course programs with urgency and accountability-owning outcomes, not just timelines.
- Deep expertise in workflow design, process transformation, and operating model architecture-you've redesigned how work gets done, not just documented it.
- 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.
- 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.
Requirements
- Bachelor's degree required (or equivalent practical experience).
- 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.
Skills
- Hands-on fluency with Agile, Scrum, or hybrid delivery models-and the judgment to know when to flex the framework.
Compensation
- Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location.
Benefits
- 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.
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