2 дня назад
Senior Operations Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Operations Manager (AI): Managing the operational excellence of the London AGI Data Services site with an accent on P&L ownership and workforce scaling for a 200+ person organization. Focus on implementing scalable processes through automation, reducing operational friction, and driving a data-driven quality ecosystem.
Location: Onsite in London, UK
Company
AI is a global leader in developing artificial general intelligence and data services.
What you will do
- Manage end-to-end operational P&L for the London site to improve cost-per-unit economics while exceeding quality SLAs.
- Drive workforce planning and capacity models in partnership with Finance to ensure SLA compliance during volume fluctuations.
- Define and execute a multi-year operational strategy for Data Services, anticipating automation adoption and workforce shifts.
- Lead cross-functional initiatives with Engineering and Product teams to influence tool roadmaps and validate feature releases.
- Architect a site-wide quality ecosystem with closed-loop mechanisms for rapid defect root cause identification and correction.
- Build and lead a high-performing leadership team of Operations and Team Managers, maintaining a strong succession pipeline.
Requirements
- Bachelor's degree in a quantitative field such as Econometrics, Statistics, Industrial Engineering, or Operations Research.
- Proven experience as an operations manager leading large teams across multiple locations and languages.
- Direct experience with P&L responsibility and delivering strong financial results.
- Expertise in capacity planning, operations planning, and business analysis.
- Experience building and executing long-term strategic roadmaps from the ground up.
- Must be based in London, UK.
Nice to have
- Master's degree in Operations Research, Applied Mathematics, or Theoretical Computer Science.
- Certification or experience with Six Sigma or Lean Manufacturing.
- Proficiency in data analysis tools including SQL, Python, Tableau, and Advanced Excel.
- Experience in AI/ML data operations, speech/language data services, or annotation and labeling operations.
Culture & Benefits
- Inclusive work environment that values diversity and equal opportunity.
- Culture centered on invention, simplification, and high-scale impact.
- Opportunity to work at the forefront of Artificial General Intelligence (AGI) development.
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