Senior Project Manager - Generative AI Data Operations

Weloglobal
Gurgaon, IN
Career-pivot friendly

Who this role is best for

Aimed at senior professionals with experience in AI data operations and vendor management, requiring oversight of multi-project portfolios in a global context.

Best fit for

  • Experienced in managing AI training data programs at scale.
    — “Oversees multi-project portfolios for AI training data programs
  • Skilled in vendor management and process automation for data operations.
    — “vendor management, and process automation
  • Proven track record in ensuring quality across diverse projects.
    — “Ensures quality is consistent across projects

Things to consider

  • Requires joint planning with senior quality analysts.
    — “plans work jointly with the Sr. Quality Analyst
  • Involves overseeing a portfolio of programs, not just single projects.
    — “Oversees a portfolio of programs

How to stand out

  • Demonstrate experience in scaling operations for AI data programs.
    — “Leads delivery and scale
  • Highlight past success in driving performance improvements.
    — “drives performance improvements
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • multi-project portfolio oversight
  • process automation
  • quality consistency
Typical background
project managementoperations

Skills & requirements

Required

Project ManagementProcess AutomationVendor ManagementCapacity Planning

Preferred

AI Data OperationsQuality Assurance

Stack & domain

AIData OperationsCapacity PlanningVendor ManagementProcess AutomationQualityPerformance ImprovementsWork PlanningAi Training DataMultilingual DataStructured Model EvaluationAi ModelsAi DevelopmentSafetyBiasInclusivityCross-lingual ReliabilityAi SystemsAi ApplicationsLarge Language ModelsVoice And Speech SystemsAgentic WorkflowsRoboticsEmbodied AiLinguisticCulturalDomain ExpertiseAi Development ChallengesData IntegrityWorkforce TrustGlobal Contributor BaseAdvanced VerificationContinuous MonitoringStructured QaAi-generated CodeAi Software RevolutionAi Code ReviewAi VerificationAi GovernanceLeadershipCommunicationCollaborative Problem-solvingInitiativeEmpathyUrgencyFocus

About the role

Original posting from Weloglobal via Lever

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   

Job Reference: #LI-JC1

Job Description Summary: 

Oversees multi-project portfolios for AI training data programs. Leads delivery and scale: capacity planning, vendor management, and process automation. Ensures quality is consistent across projects, drives performance improvements, and plans work jointly with the Sr. Quality Analyst. Oversees a portfolio of programs that deliver and scale Generative AI data operations, including capacity planning, vendor management, and process automation.

Source: Weloglobal careers (Lever)

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