Lead Program Manager- Generative AI Data Operations

Accountabilities

• • Define program strategy, objectives, roadmaps, milestones, operating models, and delivery plans across multiple projects and vendors.

  • Lead and develop a team of Program Managers and Coordinators through goal setting, capacity planning, coaching, delegation, and performance management.

  • Own the day-to-day client relationship, serving as the primary program contact and leading governance meetings, planning sessions, and business reviews.

  • Align client expectations around scope, priorities, timelines, requirements, and changes while maintaining strong delivery relationships.

  • Partner with the Quality Manager to establish quality objectives, guidelines, audits, acceptance criteria, corrective actions, and continuous improvement initiatives.

  • Plan and secure annotator/rater capacity to support high-volume delivery requirements, optimizing shifts, handoffs, workflows, and operational tooling.

  • Manage program budgets, margins, commercial changes, and change orders while keeping financial and delivery commitments aligned.

  • Maintain program-level risk, issue, action, and dependency tracking; lead root-cause analysis and remediation for significant challenges.

  • Identify opportunities to standardize SOPs, templates, dashboards, and operating processes to improve consistency and scalability.

  • Collaborate with Operations Technology teams to pilot and scale automation that improves productivity, visibility, and delivery quality.

  • Ensure compliance with data handling, privacy, security, and platform-access policies throughout program operations.

  • Coordinate closely with Sales, Account Management, Quality, Operations, and Vendor Management teams to achieve client and business objectives.

  • Establish effective operating rhythms and standards while making tactical and strategic decisions within agreed policies and budgets.

  • Escalate non-standard or high-impact issues with clear options, risks, recommendations, and potential business impact.

  Requirements

  • Bachelor’s degree or equivalent professional experience in business, operations, data, engineering, or a related discipline.

  • 5–8 years of experience leading large-scale or multi-workstream delivery programs, ideally within AI data, content review, labeling, annotation, or adjacent operational environments.

  • Demonstrated experience managing high-volume programs involving vendor management, workforce capacity planning, and distributed delivery teams.

  • Proven ability to own client relationships and establish effective governance cadences with senior stakeholders.

  • Strong program planning and portfolio governance capabilities across multiple projects and workstreams.

  • Experience setting team objectives, coaching employees, delegating responsibilities, and providing performance feedback.

  • Excellent communication and stakeholder-management skills, with confidence engaging senior clients and internal leadership.

  • Strong organizational and analytical skills, with the ability to balance scope, time, cost, quality, and operational priorities.

  • Practical experience with spreadsheets, project/task management tools, and business intelligence dashboards.

  • Familiarity with SQL and ETL concepts is an advantage.

  • Strong understanding of quality management, including SOPs, QA gates, acceptance criteria, audits, and corrective actions.

  • Sound judgment, negotiation skills, and confidence managing escalations and complex delivery decisions.

  • Advanced English communication skills and the ability to work effectively with global, distributed teams.

  • Ability to operate autonomously, establish program standards, and make day-to-day and tactical strategic decisions.

  • Experience managing direct reports while influencing cross-functional stakeholders through dotted-line relationships.

  Benefits

  • Fully remote working arrangement from India.

  • Opportunity to lead large-scale programs supporting generative AI training and evaluation.

  • High level of ownership and autonomy across program strategy and delivery.

  • Exposure to global clients, distributed teams, AI operations, and emerging AI technologies.

  • Leadership opportunity managing Program Managers and Coordinators.

  • Collaborative environment spanning Program Management, Quality, Operations, Sales, Account Management, and Vendor Management.

  • Opportunities to drive process improvement, automation, operational scalability, and quality initiatives.

  • Continuous exposure to evolving AI data operations and high-volume global programs.

  • The original posting does not specify a salary range or additional formal benefits.