Senior Project Manager – Generative AI Data Operations

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Senior Project Manager overseeing multi-project portfolios for AI data operations. Leading capacity planning, vendor management, and ensuring quality consistency across projects.

Posted 7/27/2026full-timeRemote • ⛩ Anywhere in AsiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in overseeing multi-project portfolios for AI training data programs, with a strong focus on capacity planning, vendor management, and process automation. Proven ability to manage budgets, drive performance improvements, and collaborate effectively with global teams.

Highest-signal resume keywords

Multi-Project Portfolio ManagementCapacity PlanningVendor ManagementProcess AutomationBudget Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Data OperationsQuality SystemsData EngineeringProject ManagementLabeling/Annotation

Soft Skills

CollaborationLeadershipCommunication

Tools & Technologies

SpreadsheetsPM/Task BoardsBusiness IntelligenceSQLETL

Industry Keywords

Generative AIContent ReviewPerformance ImprovementsChange OrdersGlobal Teams

Tech Stack

Tools & technologies

ETLRPASQL

About the role

Key responsibilities & impact

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
Plan and run a group of projects (collection, labeling, evaluation) end-to-end; set priorities, milestones, and handoffs across time zones
Build and track budgets, burn, and margins; manage change orders to protect financial outcomes
Collaborate with the recruiting team to manage hiring efforts

Requirements

What you’ll need

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
Strong use of spreadsheets, PM/task boards, and basic BI; familiarity with SQL/ETL concepts is a plus
Comfortable working with global, distributed teams (intermediate to advanced English)

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options