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Senior Manager, Operations Gen AI

AI Evaluation
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Descripción

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact [email protected] subject Workday Candidate Login When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS. Thank you! NOTICE: For Privacy Policy please review here Job Responsibilities: Leads multi-team AI training data operations and executes end-to-end ops strategy. Optimizes delivery through process standardization, analytics, and technology, while ensuring quality, client satisfaction, and team development. Co-leads operational excellence with the Senior Manager, Quality.Key Responsibilities

  • Ops strategy execution: Turn business goals into operating plans, OKRs, and runbooks across multiple teams and vendors.
  • Standardization & scale: Build and roll out SOPs, playbooks, and templates; reduce variance and drive consistent results across programs.
  • Analytics & insights: Define core dashboards and metrics; review performance and convert data into actions for speed, quality, and cost.
  • Technology & automation: Partner with Ops Tech/Engineering to improve tools, integrations, and automation (e.g., workflows, APIs, RPA).
  • Quality partnership: Co-own excellence with the Senior Manager, Quality—align on guidelines, audits, corrective actions, and training.
  • Workforce & capacity: Plan capacity across sites and vendors; optimize shifts, skills, onboarding, and certification paths.
  • Vendor strategy: Set expectations and SLAs; review performance, drive improvements, and make scale/exit recommendations.
  • Client satisfaction: Support executive governance, planning, and reviews; ensure delivery commitments align with scope and policy.
  • Financial stewardship: Build budgets and forecasts; manage margins and change orders; align commercial and delivery outcomes.
  • Risk, compliance, and security: Own ops risk management and readiness for audits; ensure privacy and data-handling policies are followed.
  • Org & talent development: Manage managers (L1) and senior ICs (P-level); hire, coach, set goals, and grow succession pipelines.
  • Cross-functional leadership: Coordinate with Sales/Account, Quality, Product/Ops Tech, and Vendor Management to meet client and business goals. Additional Job Details: Education
  • Bachelor’s degree or equivalent experience in business, operations, data/engineering, or a related field. Experience - 5–8 years in operations or program delivery in AI data, content review, labeling/annotation, or adjacent domains. - 4–6 years in operations leadership (leading managers/teams, portfolio or multi-workstream environments).
  • Track record driving standardization, analytics, tooling/automation, and vendor performance at scale. Skills
  • Program/portfolio planning and governance across multiple teams.
  • People leadership: goal setting, coaching, delegation, and performance feedback.
  • Clear communication with senior client stakeholders and internal executives.
  • Strong use of spreadsheets, PM/task boards, and BI dashboards; familiarity with SQL/ETL concepts is a plus.
  • Quality mindset with practical use of SOPs, QA gates, and acceptance criteria.
  • Sound judgment on scope, time, cost, and quality; confident negotiation and escalation.
  • Comfortable working with global, distributed teams (advanced English). Scope & Autonomy (L2 Alignment)
  • Leads multiple teams/disciplines and sets operating rhythms and standards across programs.
  • Makes day-to-day and medium-term strategic decisions; escalates only non-standard or high-impact items.
  • Direct line management for L1 managers and senior ICs; strong influence across Quality, Tech, and Vendor partners.
  • Co-leads operational excellence with the Senior Manager, Operations.

Details

Category

AI Evaluation

Location

Remote

Employment Type

Independent Contractor

Posted

14/4/2026

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