Lead Quality Manager- Generative AI Data Quality

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span: ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling. ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking. DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection. RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output. Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data. Role Purpose: Owns program-level quality strategy execution for high-volume initiatives. Aligns team performance with organizational goals; ensures process optimization and delivery excellence within budgets and timelines. Partners with the Operations Manager. Key Responsibilities: · Set program quality goals, roadmap, and operating rhythms (cadence, audit plan, reviews). · Manage a team of Analysts and Coordinators; hire, coach, and run performance cycles. · Co-own client governance with Ops; align on scope, priorities, and changes. · Standardize SOPs/rubrics; oversee training/certification paths and knowledge base. · Define core dashboards/metrics; drive actions for speed, quality, and cost. · Champion compliance, privacy, and security; ensure audit readiness. · Coordinate with Vendor Management on SLAs, capacity, and improvement plans. · Sponsor automation pilots and scale proven solutions with Ops Tech/Product. · Own risk management at program level; ensure documented CAPA with follow-through. · Build succession pipelines and skills matrices for the team. Requirements: Education: · Bachelor’s degree or equivalent experience in Business, Operations, Quality, or Data/Engineering. Experience: · 3–5 years in quality/ops; 3–5 years managing teams or multi-workstreams. Skills: · Program planning and portfolio governance. · People leadership (goals, coaching, delegation, feedback). · Senior client communication and negotiation. · Strong spreadsheets/BI; SQL/ETL familiarity is a plus. · Quality systems (SOPs, QA gates, acceptance criteria) and compliance expertise. Scope & Autonomy: · Manages a single program/team end-to-end; sets standards and rhythms. · Makes day-to-day and tactical strategic decisions; escalates only high-impact items. · Partners with Operations Manager on client outcomes and team performance.