Senior Operations Manager, Artificial General Intelligence Data Services
Evi Technologies Limited•2h ago
United KingdomOnsiteFull-timeSenior Level5+ yrs exp
Top focus
Operations ManagerVp DataData AnalystSenior Data AnalystSenior Data Engineer
- 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
- 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
- the judgment to know which mode a situation demands. Regular engagement with senior leadership on strategy, risk
- 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
- workforce composition, proactively positioning the site to absorb new workstreams.
- Lead cross-functional initiatives with Engineering, Product
- Program teams to define tooling requirements, influence product roadmaps based on operational friction data
- 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
- 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
- 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
- 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
- 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.
- Bachelor's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics
- equivalent quantitative field - Experience as an acting operations manager
- 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
- 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
- Master's degree or above in operations research, applied mathematics, theoretical computer science
- experience applying quantitative analysis to solve business problems and making data-driven business decisions - Experience with Six Sigma, lean manufacturing
- experience in reliability/maintenance environments - Experience with automation and any version control tools
- experience that includes strong analytical skills, attention to detail
- effective communication abilities - Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python - Experience working in a matrixed environment, influencing strategy
- achieving goals by working across the organization -
- Experience in AI/ML data operations, speech or language data services
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Required skills
operations managementP&Lcapacity planningdata analysisautomationSQLTableauPythonSix Sigmalean manufacturing