Lead Program Manager, Generative AI Data Operations

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Welo DataAI data operations
Listing location: Gurgaon, India; Workplace type: RemoteFull-TimeLead
Salary not disclosed
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Job Details

Languages
Advanced English
Experience
5-8 years leading large or multi-workstream delivery in AI data, content review, labeling/annotation, or adjacent domains.
Required Skills
Client relationship management

Requirements

  • Hold a bachelor’s degree or have equivalent experience in business, operations, data/engineering, or a related field.
  • Have 5-8 years leading large or multi-workstream delivery in AI data, content review, labeling/annotation, or adjacent domains.
  • Bring program-level experience in high-volume environments.
  • Have experience with vendor management and capacity planning.
  • Have a record of managing client relationships and running governance cadences.
  • Demonstrate program planning and portfolio governance across multiple projects.
  • Have team leadership experience in goal setting, coaching, delegation, and performance feedback.
  • Communicate effectively with senior client stakeholders and internal leaders.
  • Use spreadsheets, PM/task boards, and BI dashboards; familiarity with SQL/ETL concepts is a plus.
  • Apply SOPs, QA gates, and acceptance criteria in quality processes.
  • Exercise judgment on scope, time, cost, and quality, including negotiation and escalation.
  • Be comfortable working with global, distributed teams and have advanced English.

Responsibilities

  • Define program goals, roadmaps, milestones, and operating models across multiple projects and vendors.
  • Lead PMs and Coordinators through goal setting, capacity planning, coaching, and performance feedback.
  • Own day-to-day client relationships, governance, planning, and reviews; align scope, priorities, and changes.
  • Partner with Quality on guidelines, audits, acceptance criteria, corrective actions, and program outcomes.
  • Plan rater and annotator capacity and optimize shifts, handoffs, automation, and tooling for high-volume targets.
  • Build and manage budgets, margins, and change orders, aligning commercial and delivery commitments.
  • Maintain program risks, issues, and change controls; lead root-cause analyses, remediation, and escalations.
  • Standardize SOPs, templates, and dashboards, and pilot and scale automation with Ops Tech.
  • Ensure adherence to data-handling, privacy, and platform-access policies.
  • Coordinate with Sales/Account, Quality, Operations, and Vendor Management.
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