AI Enablement Manager
S
SPD TechnologyTechnology
Ukraine. Poland. Spain. Romania. Slovakia. PortugalFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- Project ManagementBusiness Operations
Requirements
- 4+ years in technical program management, business operations, Chief of Staff, or similar cross-functional coordination roles in a technology company
- Proven ability to integrate departments and drive cross-functional initiatives with stakeholders at different seniority levels
- Moderate to advanced project and program management skills — able to design and run effective operational rhythms
- Excellent document organization and structuring skills; experience organizing AI knowledge bases or institutional memory is highly appreciated
- Power-user proficiency with modern AI tools (ChatGPT, Claude, Gemini, Copilot, Cursor, or similar) and the ability to help others navigate basic use cases
- Hands-on passion for designing and improving personal agentic workflows
- Broad organizational outlook — working understanding of Legal, Finance, People, IT, Delivery, BizDev, and L&D functions
- Strong understanding of how AI is reshaping knowledge work and software delivery, including current limitations and areas where caution is warranted
- Excellent self-prioritization and self-management; reliable at closing loops with minimal supervision
- Communicative, positive, and resilient under high-tempo, high-ambiguity conditions
Responsibilities
- Coordinating AI-related efforts across Business Units, delivery teams, BizDev, People, IT, and Finance — ensuring alignment and unblocking horizontal initiatives
- Owning corporate data regarding AI adoption — collecting, maintaining, and reporting metrics that reflect real usage, not self-reported perception
- Co-organizing AI events (internal demos, knowledge-sharing sessions, workshops) and facilitating internal AI communications
- Identifying, engaging, and maintaining a pool of AI Champions — engineers and managers who lead by example and multiply adoption across their teams
- Shaping AI governance projects from early vision to execution-ready state, with clear scope, owners, dependencies, and success criteria
- Popularizing AI opportunities inside SPD — connecting people, surfacing use cases, and making the AI Office visible and approachable
- Owning end-to-end execution tracking and reporting of the AI strategy — maintaining the planning structure, running the operating cadence (agendas, summaries, decision logs, follow-ups), and preparing leadership digests
- Identifying risks and blockers across AI adoption and transformation initiatives — driving mitigation with functional owners, escalating appropriately, and ensuring alignment with AI usage, security, and governance guidelines
- Scaling AI experience across the organization — capturing lessons from delivery, pilots, and champion activity, packaging them into reusable artifacts
- Partnering with IT on AI tooling lifecycle, policy, and procurement, and with L&D on AI learning programs
- Maintaining a well-structured, AI-amplified knowledge base of the AI Office — documents, decisions, playbooks, references
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