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Lead multi-team AI training data operations and execute end-to-end operational strategy to drive business goals. | 5–8 years in operations or program delivery in AI data or content review domains with 4–6 years leadership and a bachelor's degree. | If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@welocalize.com subject Workday Candidate Login When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS. Thank you! NOTICE: For Privacy Policy please review here Job Responsibilities: Leads multi-team AI training data operations and executes end-to-end ops strategy. Optimizes delivery through process standardization, analytics, and technology, while ensuring quality, client satisfaction, and team development. Co-leads operational excellence with the Senior Manager, Quality. Key Responsibilities Ops strategy execution: Turn business goals into operating plans, OKRs, and runbooks across multiple teams and vendors. Standardization & scale: Build and roll out SOPs, playbooks, and templates; reduce variance and drive consistent results across programs. Analytics & insights: Define core dashboards and metrics; review performance and convert data into actions for speed, quality, and cost. Technology & automation: Partner with Ops Tech/Engineering to improve tools, integrations, and automation (e.g., workflows, APIs, RPA). Quality partnership: Co-own excellence with the Senior Manager, Quality—align on guidelines, audits, corrective actions, and training. Workforce & capacity: Plan capacity across sites and vendors; optimize shifts, skills, onboarding, and certification paths. Vendor strategy: Set expectations and SLAs; review performance, drive improvements, and make scale/exit recommendations. Client satisfaction: Support executive governance, planning, and reviews; ensure delivery commitments align with scope and policy. Financial stewardship: Build budgets and forecasts; manage margins and change orders; align commercial and delivery outcomes. Risk, compliance, and security: Own ops risk management and readiness for audits; ensure privacy and data-handling policies are followed. Org & talent development: Manage managers (L1) and senior ICs (P-level); hire, coach, set goals, and grow succession pipelines. Cross-functional leadership: Coordinate with Sales/Account, Quality, Product/Ops Tech, and Vendor Management to meet client and business goals. Additional Job Details: Education Bachelor’s degree or equivalent experience in business, operations, data/engineering, or a related field. Experience 5–8 years in operations or program delivery in AI data, content review, labeling/annotation, or adjacent domains. 4–6 years in operations leadership (leading managers/teams, portfolio or multi-workstream environments). Track record driving standardization, analytics, tooling/automation, and vendor performance at scale. Skills Program/portfolio planning and governance across multiple teams. People leadership: goal setting, coaching, delegation, and performance feedback. Clear communication with senior client stakeholders and internal executives. Strong 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). Scope & Autonomy (L2 Alignment) Leads multiple teams/disciplines and sets operating rhythms and standards across programs. Makes day-to-day and medium-term strategic decisions; escalates only non-standard or high-impact items. Direct line management for L1 managers and senior ICs; strong influence across Quality, Tech, and Vendor partners. Co-leads operational excellence with the Senior Manager, Operations. Welocalize is a leading technology-enabled provider of translation, localization, and AI-driven content solutions, helping businesses communicate, innovate, and grow globally. Specializing in complex and regulated industries, Welocalize delivers precise, scalable multilingual content through a powerful combination of advanced AI technologies and expert human talent. At the core is Welocalize’s AI-enabled OPAL platform, which transforms translation workflows by integrating machine translation (MT) and large language models (LLMs) to provide fast, accurate, and culturally relevant content in over 300 languages. With a commitment to excellence, Welocalize holds 7 ISO certifications. Welocalize is headquartered in New York with offices all over the globe.
Lead the L&D team to define training needs, develop and deliver scalable learning solutions, manage LMS migration, and collaborate with executives to align training with business strategy. | 5+ years in L&D, 2+ years management experience, preferably in AI or data annotation industries, experience with LMS evaluation and implementation, strategic and agile program design skills. | 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. The Learning and Development Lead is responsible for defining training needs to align with Welo Data’s business strategy and leading the development and delivery of impactful learning solutions. This role will manage the L&D team, oversee program execution, and ensure that training initiatives are scalable, measurable, and adaptable to evolving business priorities. In addition to strategic planning and stakeholder engagement, the Lead will drive key initiatives including LMS evaluation and migration, self-serve learning enablement, and agile operational models to support high-impact programs. Main Responsibilities • Define and maintain Welo Data’s strategic training agenda in alignment with business priorities. • Evaluate, recommend, and, if approved, lead migration to a more effective Learning Management System. • Implement and operationalize the L&D self-serve learning framework to empower teams to access and use training independently. • Assess current team structure, skills, and workflows; deploy an agile operating model to deliver strategic programs efficiently. • Partner with executives, HR, and business leaders to identify training needs through performance data and stakeholder feedback. • Lead the development and delivery of learning content, programs, and tools that meet business objectives and workforce needs. • Monitor and evaluate training effectiveness, leveraging data-driven insights to optimize programs. • Manage Learning Partners and ensure the highest standards in content development and delivery. • Ensure LMS and related tools are fully utilized to maximize ROI. • Collaborate with cross-functional teams to ensure training supports career path frameworks and leadership development initiatives. Experience • Minimum 5 years of experience in a learning and development role or equivalent educational/professional experience. • Minimum 2 years in a management role, with proven success in leading teams and implementing scalable L&D solutions. • Previous experience in data annotation, AI services, or related technology-driven industries strongly preferred. • Experience evaluating and implementing LMS solutions. • Demonstrated ability to design agile systems to support strategic programs. Key Competencies • Strategic thinker with strong execution skills. • Strong problem-solving and continuous improvement mindset. • Excellent team leadership and development capabilities. • Exceptional stakeholder management skills. • Metrics-driven approach to decision-making. Education • Bachelor’s degree (B.A.) or equivalent educational/professional qualification.
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