Senior Operations Manager, Artificial General Intelligence Data Services

Amazon is hiring a Senior Operations Manager, Artificial General Intelligence Data Services in London, United Kingdom. Level rates it ; you can apply on Amazon.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
The posting mentions operations management, p and l and workforce planning among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Leads site operations for AGI data services, managing a 200+ team and driving workflow automation and quality.

operations-managementp-and-lworkforce-planningteam-leadershipprocess-optimization

The Senior Operations Manager owns the operational excellence of our site in London site within AGI Data Services. Leading a multi-layered organization of 200+ data associates, this role demands a leader who combines strategic vision with relentless execution, someone who can simultaneously architect the future state of site operations while delivering flawless daily execution against challenging SLAs. This is not a maintenance role. The successful candidate will challenge the status quo, eliminate inefficiency, raise the performance ceiling, and leave the operation materially stronger than they found it. This role requires comfort with ambiguity, the ability to context-switch between strategic planning and tactical problem-solving, and the judgment to know which mode a situation demands. Regular engagement with senior leadership on strategy, risk, and performance is expected.

Key job responsibilities
• Own the end-to-end operational P&L for our site in London, driving measurable improvements in cost-per-unit economics while maintaining or exceeding quality SLAs across all active programs.
• Drive workforce planning in partnership with Finance, aligning labor capacity models to demand forecasts managing flex strategies (overtime, cross-training, temporary labor) to maintain SLA compliance during volume fluctuations.
• Define and execute a multi-year operational strategy for Data Services at the site, anticipating shifts in program volume, automation adoption, and workforce composition, proactively positioning the site to absorb new workstreams.
• Lead cross-functional initiatives with Engineering, Product, and Program teams to define tooling requirements, influence product roadmaps based on operational friction data, and validate feature releases through structured UAT processes.
• Own the site's quality ecosystem, establishing closed-loop mechanisms where defect root causes are identified within 24 hours, corrective actions are implemented within one sprint cycle, and systemic patterns are escalated with data-backed proposals to Engineering and Product teams.
• Architect scalable processes that reduce dependency on headcount growth, leveraging automation, tooling improvements, and workflow redesign to deliver throughput gains quarter over quarter without proportional cost increases.
• Build and lead a high-performing leadership team (Operations Managers, Team Managers), setting differentiated performance expectations, calibrating talent rigorously, and maintaining a ready-now succession pipeline for all critical roles.
• Champion a data-driven culture where every operational decision is grounded in statistical analysis, A/B testing of process changes is standard practice, and anecdotal reasoning is challenged.
• Build and sustain an engagement model that delivers measurable year-over-year improvement in associate retention and engagement scores, with specific interventions tied to root-cause analysis of attrition drivers rather than generic culture programs.
• Serve as the site’s executive voice to senior leadership, translating operational data into strategic narratives, owning regular business review inputs, drafting strategic papers for director-level decision forums, and proactively surfacing risks with mitigation plans rather than reactive escalations.
• Operate as a force multiplier across the cluster, sharing best practices, standardizing processes across sites, and contributing to org-wide mechanisms that raise the performance ceiling for peer sites.

Basic qualifications

- Bachelor's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field
- Experience as an acting operations manager, or experience managing large teams across multiple locations and languages
- Experience with P&L responsibility and delivering strong financial results
- Experience in creating process improvements with automation and analysis, or experience communicating results to senior leadership
- Experience in capacity planning, operations planning, business analysis or similar
- Experience building and effectively executing a strategy from the ground up, including designing roadmaps to drive incremental progress towards long-term vision and goals

Preferred qualifications

- Master's degree or above in operations research, applied mathematics, theoretical computer science, or equivalent, or experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience with Six Sigma, lean manufacturing, or experience in reliability/maintenance environments
- Experience with automation and any version control tools, or experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python
- Experience working in a matrixed environment, influencing strategy, and achieving goals by working across the organization
- • Experience in AI/ML data operations, speech or language data services, or annotation and labeling operations.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Senior Operations Manager, Artificial General Intelligence Data Services at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Operations Manager, Artificial General Intelligence Data Services is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in GB, London.
The job was posted on July 16, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Operations ManagementP And LWorkforce PlanningTeam LeadershipProcess Optimization

Questions you could be asked

Tell me about a project where operations management was part of your work. What did you do?
Tell me about a project where p and l was part of your work. What did you do?
Tell me about a project where workforce planning was part of your work. What did you do?
Tell me about a project where team leadership was part of your work. What did you do?
Tell me about a project where process optimization was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Operations Management, P And L, Workforce Planning, Team Leadership, and Process Optimization. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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