Leads large-scale AI training data programs across multiple projects and vendors. Responsibilities include program strategy, delivery planning, team leadership, client governance, quality partnership, capacity planning, budgeting, risk management, process improvement, automation, compliance, and stakeholder coordination. The role manages PMs and coordinators, owns the client relationship, and drives operational performance across distributed global teams.
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
ROLE OVERVIEW
Leads a program of AI training data projects at scale. Owns program-level strategy and delivery, manages a cross-functional team, and is the primary owner of the client relationship for the program. Partners closely with the Lead Quality Manager to keep quality consistent and drive continuous improvement across high-volume operations.
Key Responsibilities-
Program strategy & planning: Define program goals, roadmap, milestones, and operating model across multiple projects and vendors.
Team management: Lead a delivery team (PMs, Coordinators) with clear goals, capacity plans, coaching, and performance feedback.
Client ownership: Act as the day-to-day executive contact; run governance, planning, and QBR-style reviews; align scope, priorities, and change.
Quality partnership: Co-own quality outcomes with the Manager of Quality; align on guidelines, audits, acceptance criteria, and corrective actions.
Scale & throughput: Plan and secure rater/annotator capacity; optimize shifts, handoffs, automation, and tooling to meet high-volume targets.
Financial stewardship: Build and manage budgets, margins, and change orders; ensure commercial and delivery commitments stay aligned.
Risk, issue & change control: Maintain program RAID; lead root-cause analyses and remediation; escalate high-impact items with options and impact.
Process improvement & automation: Standardize SOPs, templates, and dashboards; pilot and scale automation with Ops Tech.
Compliance & security: Ensure policy adherence for data handling, privacy, and platform access across the program.
Stakeholder management: Coordinate with Sales/Account, Quality, Operations, and Vendor Management to meet client and business goals.
Requirements
Education- Bachelor’s degree or equivalent experience in business, operations, data/engineering, or a related field.
Experience-
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.
Skills-
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).
Scope & Autonomy-
Manages a single program/team end-to-end, setting operating rhythms and standards within agreed policies and budgets.
Makes day-to-day and tactical strategic decisions for the program; escalates only non-standard or high-impact items.
Direct line management for PMs/Coordinators and dotted-line influence over cross-functional partners.
Owns the client relationship for the program and partners with the Lead Quality Manager on outcomes.
Similar Jobs
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Oversee private equity fund accounting, including NAV calculations, capital accounts, waterfalls, carried interest, fees, expenses, transactions, valuations, and financial reporting. Review statements, investor packages, audits, tax-related information, and regulatory compliance. Lead and develop fund accounting teams, manage stakeholders, improve controls and processes, and support Investran or Geneva implementations.
Top Skills:
ExcelGenevaIfrsInvestranLux GaapUs Gaap
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Develops and integrates radiating components and passive radiation-pattern structures for multiband base-station antennas. Responsibilities include 3D and 2D electromagnetic simulation, prototype RF measurements, performance optimization, troubleshooting, technical documentation, and supporting the product lifecycle through mass production. The role collaborates with international cross-functional teams and requires relocation to Rosenheim, Germany.
Top Skills:
2D Rf Simulation3D Electromagnetic SimulationActive Antenna SystemsAnsys HfssAntenna DesignAwr Microwave OfficeCst Microwave StudioEmcKeysight AdsMachine LearningMatlabOptimization AlgorithmsPassive Multiband AntennasPimPythonRfRf Measurement
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead hands-on delivery of agentic AI solutions across Salesforce, Slack, and enterprise workflows. Design LLM-powered agents, multi-agent systems, RAG pipelines, semantic search, AI evaluation frameworks, and secure integrations. Build Salesforce components and Agentforce actions, implement CI/CD and observability, establish governance and fallback strategies, modernize legacy integrations, mentor engineers, evaluate AI platforms, and automate manual GTM processes.
Top Skills:
AgentcoreAgentforceApexAutogenAws BedrockCopadoCrewaiGithub ActionsJavaScriptJenkinsLangchainLanggraphLightning Web ComponentsLlamaindexMcpPythonRestRetrieval Augmented GenerationSalesforceSalesforce EinsteinSalesforce Platform EventsSemantic KernelSlackSoapTypescriptVector DatabasesVertex Ai
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
