Lead Program Manager- Generative AI Data Operations

Welo Global; Gurgaon; On-site; INR 2,400,000 - 4,200,000; Full time

Benefits offered by this job

Health insurance

Job summary

Welo Data is seeking a Program Manager to lead AI data projects at scale, owning strategy, delivery, and client relationships. You will guide a cross-functional team, ensure quality, and drive continuous improvement across high-volume operations.

Ideal candidates have 5–8 years in program-level delivery within AI data, robust stakeholder communication, and hands-on governance experience across multiple vendors.

Qualifications

• Bachelor’s degree or equivalent in business, operations, data/engineering, or related field.
• 5–8 years leading large or multi-workstream AI data delivery with vendor management.
• Record of managing client relationships and governance cadences.

Responsibilities

• Define program goals, roadmap, milestones, and operating model across projects.
• Lead a delivery team of PMs and Coordinators with goals and capacity planning.
• Own the day-to-day client relationship and run governance and reviews.
• Co-own quality outcomes with Quality Manager and enforce targets.
• Scale and optimize throughput with staffing, automation, and tooling.
• Manage budgets, margins, and change orders to align with commitments.
• Maintain program RAID and drive root-cause analyses.

Skills

Program planning

Team leadership

Stakeholder communication

BI dashboards

SQL/ETL concepts

Quality assurance

Spreadsheets

PM/task boards

Education

Bachelor's degree

Tools

BI dashboards

Spreadsheets

PM/task boards

Job description

About Welo Data

Welo Data,a WeloGlobalbrand,is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally.Theydeliverthe humanjudgment, 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. Itsglobal network of 500,000+ vetted expertsspans300+ 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 domainexpertiseenables 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, andmodalities.Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietaryidentityand fraud-prevention framework. Built tomaintaindata integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset isaccurate, 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; elevate 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.

Owns the client relationship for the program and partners with the Lead Quality Manager on outcomes.

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.