Senior Manager, Operations Gen AI

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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