Lead Program Manager – Generative AI Data Operations

Posted 4hrs ago

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Job Description

Lead Welo Data’s AI training-data programs at scale. Manage delivery teams, client governance, quality, vendors, capacity, budgets, and operational improvement.

Responsibilities:

  • Lead a program of AI training data projects at scale
  • Define program goals, roadmap, milestones, and operating model across multiple projects and vendors
  • Lead a delivery team of PMs and Coordinators with goals, capacity plans, coaching, and performance feedback
  • Own the day-to-day client relationship and run governance, planning, and QBR-style reviews
  • Co-own quality outcomes with the Manager of Quality, including guidelines, audits, acceptance criteria, and corrective actions
  • Plan and secure rater/annotator capacity and optimize shifts, handoffs, automation, and tooling
  • Build and manage budgets, margins, and change orders
  • Maintain program RAID, lead root-cause analyses and remediation, and escalate high-impact items
  • Standardize SOPs, templates, and dashboards; pilot and scale automation with Ops Tech
  • Ensure compliance with data handling, privacy, and platform access policies
  • Coordinate with Sales/Account, Quality, Operations, and Vendor Management teams

Requirements:

  • Bachelor’s degree or equivalent experience in business, operations, data/engineering, or a related field
  • 5-8 years leading large or multi-workstream delivery in AI data, content review, labeling/annotation, or adjacent domains
  • Proven program-level experience in high-volume environments, including vendor management and capacity planning
  • Record of managing client relationships and running governance cadences
  • Program planning and portfolio governance across multiple projects
  • Team leadership including goal setting, coaching, delegation, and performance feedback
  • Strong communication with senior client stakeholders and internal leaders
  • Solid use of spreadsheets, PM/task boards, and BI dashboards
  • 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
  • Familiarity with SQL/ETL concepts is a plus