Global Operations Manager - AI Strategy
C
CriblIT, Security
Remote - United StatesFull-TimeManager
Salary170000 - 225000 USD per year
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Job Details
- Experience
- 10+ years
Requirements
- 10+ years of experience in management consulting, internal strategy, or enterprise transformation.
- Track record of both advising and seeing work through to delivery.
- Experience standing up or operating an AI CoE, AI community of practice, or closely analogous function at a tech company.
- Demonstrated track record of leading company-wide initiatives and building organizational momentum for new ways of working at scale.
- Excellent communication and executive presence, comfortable presenting recommendations to VP and C-suite stakeholders.
- Experience designing enablement programs that changed behavior, not just built awareness.
- Familiarity with adult learning principles and function-specific training design.
- Experience defining success metrics for programs, tracking adoption and impact over time, and using data to course-correct.
- Working knowledge of AI governance considerations, including data classification, security controls, and compliance requirements.
- Comfort operating in ambiguity where best practices are still being written.
Responsibilities
- Drive AI Activation Across Cribl by designing and executing a function-by-function AI activation strategy.
- Build function-specific enablement, playbooks, and workflows to make AI a daily habit.
- Architect and scale an AI Champions Network to drive peer-led adoption and surface use cases.
- Partner across BizOps and People team to co-design and co-deliver scalable, function-specific AI training.
- Own the day-to-day operations of Cribl's AI CoE, managing working group cadences and coordinating AI tool and policy decisions.
- Synthesize the AI landscape across functions, tracking adoption and emerging use cases.
- Partner with Legal, IT, Security, and Enterprise Applications to maintain and evolve core CoE assets.
- Bridge the gap between leadership's AI directives and organizational capabilities, turning them into prioritized programs.
- Advise senior stakeholders across functions on building AI strategies and managing competing priorities.
- Identify patterns across functions to shape leadership's thinking and prioritization of AI investment.
- Build a measurement framework that tracks AI adoption and impact, informing CoE roadmap decisions.
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