AI Adoption Program Coordinator
Listed on 2026-02-16
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IT/Tech
AI Engineer, Data Analyst
AI Adoption Program Coordinator
Department: AI & Data Science
Employment Type: Contract
Location: UK
Description(Global Enterprise B2B SaaS Company)
The primary objective of this project is to drive widespread adoption and everyday usage of AI within the EMEA Cloud Marketing organization. The ambition is for the team to genuinely live and breathe AI, positioning EMEA as the leading region for AI expertise and practical integration across all marketing workflows.
This is a non-technical coordinator role focused on program management, community engagement, and strategic alignment. The role acts as the central nerve center for AI initiatives, transitioning the organization from a bespoke, ad-hoc support model to a scalable infrastructure that supports a globally mandated AI Champions program.
Program Excitement & Culture- Champion Advocacy: Partner with established AI Champions who act as visible advocates and the public face of AI adoption across EMEA.
- Incentive Management: In collaboration with regional Strategy & Operations leads, design and manage incentive programs to sustain engagement and momentum.
- Communications: Own the communications cascade from leadership to the broader marketing organization to maintain visibility, clarity, and excitement.
- Nerve Center Operations: Run the AI Operations Working Group, setting monthly strategic priorities and closing information gaps with global teams.
- Stakeholder Alignment: Ensure continuous alignment between AI Champions, regional leadership, and central governance functions.
- Silo Elimination: Proactively identify and dismantle silos to prevent duplication of effort and ensure a cohesive regional strategy.
- AI Impact Tracker: Oversee a self-reporting framework where marketers log time and cost savings generated through AI usage.
- Agent & Use-Case Library: Manage a central repository of AI agents and proven use cases to ensure relevance and accessibility for day‑to‑day marketer workflows.
- Tooling Feedback Loop: Gather structured feedback from the field to ensure technical teams build the tools, data integrations, and workflows marketers actually need.
- Phase 1:
Align with AI Champions and secure leadership buy‑in for a unified regional strategy. - Phase 2:
Launch the communications cascade and announce nominated representatives from each market. - Phase 3:
Fully ope rationalise the AI Impact Tracker and Solutions Library. - Ongoing:
Facilitate monthly AI Ops meetings and coordinate quarterly recognition awards.
- Adoption Metrics: Measurable increase in AI tool usage across all EMEA marketing markets.
- Proven Impact: Quantifiable time and cost savings captured through the Impact Tracker.
- Recognition: EMEA recognised internally as the leading region for AI adoption and applied expertise.
This initiative represents a shift from solving individual marketer pain points to building the foundational infrastructure and governance required for scale. By prioritising use‑case identification, operational enablement, and leadership‑backed incentives, EMEA will become a show, don’t tell organisation that leads AI‑driven marketing transformation.
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