Associate Project Manager - Generative AI Data Operations

Welocalize, Inc; India; Remote; INR 2,400,000 - 4,800,000; Full time

Job summary

Welocalize, Inc. in India is seeking a senior portfolio/program lead to oversee AI data operation programs. You will drive delivery across multiple projects, manage capacity and vendors, and implement automation while ensuring quality and compliance.

This role requires coordinating with global teams, senior clients, and internal leaders to align scope, time, cost, and outcomes. Strong background in multi-project portfolio management, capacity planning, and process automation is essential.

Qualifications

• Bachelor’s degree or equivalent experience in business, operations, data/engineering, or similar
• 2–3 years leading multi-project portfolios or large multi-workstream programs in AI data, content review, labeling/annotation, or related fields
• Background in capacity planning, vendor coordination, and quality systems; experience piloting or scaling process automation is a plus

Responsibilities

• Oversee multi-project portfolios for AI training data programs, ensuring on-time delivery and quality
• Lead delivery, capacity planning, vendor management, and process automation across time zones
• Establish governance cadence with status, risk, and executive updates
• Coordinate with Sr. Quality Analyst on acceptance criteria and audits
• Pilot automation with Ops Tech and scale successful solutions
• Manage budgets, burn, margins, and change orders to protect financial outcomes
• Collaborate with PST, Finance and recruiters for onboarding and staffing needs
• Lead planning, QBR-style reviews, and stakeholder communications

Skills

Portfolio planning

Governance

Capacity planning

Vendor management

Quality systems

Process automation

Financial management

Risk & change management

Stakeholder management

Team coaching

Compliance & security

Remote/global collaboration

Education

Bachelor’s degree or equivalent in business/operations/data/engineering

Tools

SQL

ETL concepts

BI basics

PM tools / task boards

Job description

Job Responsibilities: 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.”

Key Responsibilities

• Portfolio delivery: Plan and run a group of projects (collection, labeling, evaluation) end-to-end; set priorities, milestones, and handoffs across time zones.
• Governance & reporting: Run cadence (status, risk, exec updates); align scope and budget with account and operations leads.
• Capacity planning: Forecast and secure rater/annotator capacity; balance shifts, throughput, and skills across vendors and internal teams.
• Quality consistency: Partner with the Sr. Quality Analyst on acceptance criteria, audits, and corrective actions; keep guidelines aligned across projects.
• Process automation & tooling: Identify manual steps; pilot automation with Ops Tech (templates, scripts, RPA, API-driven flows); scale what works.
• Vendor management: Set expectations, SLAs, and playbooks; review performance and drive improvements or changes as needed.
• Financial control: Build and track budgets, burn, and margins; manage change orders to protect financial outcomes.
• Risk, issue & change: Lead root-cause and action plans; escalated high-impact items with options and impact.
• Client and stakeholder management: Lead planning and QBR-style reviews; explain results, risks, and next steps in clear terms.
• Team enablement: Coach P1 PMs and C2–C3 Coordinators on planning, QA, and tools; support onboarding and skills growth (no formal line management required).
• Compliance & security: Ensure data handling, privacy, and access controls are followed across all workstreams.
• People Management: Gather feedback, provide training and coaching, foster team cohesion through team-building activities, conduct performance reviews, and support staffing and retention efforts.

Additionally, collaborate with PST, Finance and recruiters for onboarding, offboarding, and addressing employee needs, while maintaining clear communication and updated SOPs to guide team. Collaboration with Recruitment: Work closely with the recruiting team to manage hiring efforts by communicating requirements (e.g., language needs), upcoming projects, and candidate statuses. Review, evaluate, and select qualified candidates from recruiters and decide on next steps (e.g., assessments, interviews, or client presentation).

Additional Job Details

Education Bachelor’s degree or equivalent experience in business, operations, data/engineering, or similar

Experience 2–3 years leading multi-project portfolios or large multi-workstream programs in AI data, content review, labeling/annotation, or related fields

Background in capacity planning, vendor coordination, and quality systems; experience piloting or scaling process automation is a plus

Skills Portfolio planning and governance across several projects at once Clear communication with senior clients and internal leaders; runs planning and QBR-style reviews Strong use of spreadsheets, PM/task boards, and basic BI; familiarity with SQL/ETL concepts is a plus Sound judgment on scope, time, cost, and quality trade-offs Negotiation and escalation to resolve risks, issues, and change Coaching mindset; guides P1 PMs and C2–C3 Coordinators Comfortable working with global, distributed teams (intermediate to advanced English)

Additional Qualifications (P1+) Near-native English with strong writing and editorial skills Hands-on experience with generative AI tools (text, voice, or video) Background in QA testing, rubric design, or AI safety/ethics evaluation Familiarity with data-annotation platforms and model-evaluation tools Ability to interpret code, datasets, and system workflows at a conceptual level (no coding required) Able to work independently and manage workflows effectively in a remote environment Multilingual ability beyond English Scope & Autonomy (P3 Alignment) Owns outcomes for a portfolio of small/medium projects or a large multi-workstream program Works independently; defines delivery approach and engages leaders for non-standard items Joint planning and shared responsibility for quality and client outcomes with the Sr. Quality Analyst

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.