Supervise daily program operations and lead a team through staffing, training, performance coaching, and workflow improvements while ensuring client contract compliance and customer satisfaction.
Lead Program Manager- Generative AI Data Operations
📜 Description
- Set program goals, roadmaps, milestones, and operating models across projects and vendors.
- Lead and coach program managers and coordinators, including capacity planning and performance feedback.
- Own client governance, planning, scope alignment, and program reviews.
- Partner with Quality to align guidelines, audits, acceptance criteria, and corrective actions.
- Plan annotator capacity and optimize workflows, tooling, and automation for high-volume delivery.
- Manage budgets, risks, compliance, and process improvements across the program.
🛠️ Requirements
- 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: 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; 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).
Full job description
About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai
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