Lead Program Manager, Generative AI Data Operations
New
J
JobgetherAI data operations
Fully remote working arrangement from India.Full-TimeLead
Salary not disclosed
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Job Details
- Languages
- Advanced English communication skills
- Experience
- 5–8 years of experience leading large-scale or multi-workstream delivery programs
- Required Skills
- SQLClient relationship management
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.
- Experience in AI data, content review, labeling, annotation, or adjacent operational environments is preferred.
- Experience managing high-volume programs involving vendor management, workforce capacity planning, and distributed delivery teams.
- Ability to own client relationships and establish 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.
- Practical experience with spreadsheets, project or task management tools, and business intelligence dashboards.
- Strong understanding of quality management, including SOPs, QA gates, acceptance criteria, audits, and corrective actions.
- Advanced English communication skills and ability to work effectively with global, distributed teams.
- Experience managing direct reports and influencing cross-functional stakeholders through dotted-line relationships.
- Familiarity with SQL and ETL concepts is an advantage.
Responsibilities
- Define program strategy, objectives, roadmaps, operating models, milestones, and delivery plans across projects and vendors.
- Lead and develop Program Managers and Coordinators through goal setting, capacity planning, coaching, delegation, and performance management.
- Serve as the primary program contact for clients and lead governance meetings, planning sessions, and business reviews.
- Align client expectations on scope, priorities, timelines, requirements, and changes.
- Partner with the Quality Manager to establish quality objectives, guidelines, audits, acceptance criteria, corrective actions, and improvement initiatives.
- Plan annotator and rater capacity, optimizing shifts, handoffs, workflows, and operational tooling.
- Manage program budgets, margins, commercial changes, change orders, and delivery commitments.
- Track program risks, issues, actions, and dependencies; lead root-cause analysis and remediation.
- Standardize SOPs, templates, dashboards, and operating processes, and collaborate with Operations Technology teams to scale automation.
- Ensure compliance with data handling, privacy, security, and platform-access policies.
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