Job Description
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 .