AI Adoption & Change Manager
Listed on 2026-07-02
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IT/Tech
Change Management, AI Business & Operations, IT Business Analyst, IT Project Manager
The AI Adoption & Change Manager sits within Jazwares' IT organization on the AI Team and owns the human side of AI transformation – the practical work of making sure the tools and automations the team builds are actually trusted, learned, and used by the business. The AI Team is building production machine learning systems for pricing, demand forecasting, inventory, and supply chain optimization, and document intelligence systems for inbound and outbound licensing, SOPs, vendor governance, and product data.
Each of these initiatives only delivers value when the people whose workflows are changing – across Sales, Finance, Planning, Legal, Licensing, Supply Chain, Operations, and IT – understand what is changing, why it matters, and how to work differently. The AI Adoption & Change Manager owns that outcome end‑to‑end. Reporting to the Senior AI Product Manager, the role builds change plans for each AI initiative;
conducts stakeholder readiness assessments; designs communication, training, and enablement; runs sessions, demos, and feedback loops; partners with business owners to define adoption metrics; and tracks usage, resistance, and post‑launch issues so the team can keep improving. The role works in close partnership with the AI Business Analyst, Data Analysts, Lead AI Scientist, Project Manager, Product Leadership, and Department Leaders, and it is expected to embed AI outputs into day‑to‑day workflows rather than leaving them as optional tools on the shelf.
This is a high‑visibility seat for someone who is energized by enterprise transformation, comfortable in fast‑moving and loosely defined environments, and willing to extend beyond a narrow role definition when the work calls for it. It is well suited to a practitioner who sees the ambiguity as opportunity and treats the success of the AI program as their own.
- Change Management Planning: Build change management plans for each AI/ML and LLM initiative, sequenced to the project's rollout, and updated as scope, audience, or readiness shifts.
- Stakeholder Mapping and Readiness Assessment: Identify impacted users, departments, workflows, and decision points; assess sponsorship, capability gaps, and readiness across each affected business area before launch.
- Communication Planning and Execution: Develop communication plans that explain what is changing, why it matters, and how users should work differently, then execute those plans across written, in‑person, and digital channels.
- Training and Enablement Design: Create training materials, playbooks, FAQs, enablement guides, and rollout communications, tuned to the role and context of each user group.
- Workshop and Session Facilitation: Lead training sessions, office hours, demos, and feedback sessions for end users, business owners, and leadership.
- Adoption Metrics and Tracking: Partner with business owners to define adoption metrics and accountability, then track usage, adoption rates, resistance, feedback, and post‑launch issues against those metrics.
- Workflow Integration and Continuous Improvement: Work with project teams and business owners to embed AI outputs into day‑to‑day workflows so the tools become part of how work gets done, then maintain feedback loops that drive iteration on training, communication, and product after launch.
- Resistance and
Risk Management:
Identify adoption risks early – including lack of trust, unclear ownership, poor workflow fit, or insufficient training – and work with business owners to address them before they become launch blockers. - Communication: Maintain clear, timely written and verbal communication across business stakeholders, technical contributors, and executive sponsors, ensuring all parties understand current status, open risks, and next steps.
- Required: Bachelor’s Degree
- Preferred: Master’s Degree, Prosci/ADKAR, CCMP, Kotter, or other recognized change management methodology licensure.
- Educational Background: A bachelor's degree in Business, Communications, Organizational Development, Psychology, Human Resources, Information Systems, or a related field is required.
- Relevant
Work…
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