Senior Project Manager – Generative AI Data Operations

📋 Description

• Manages multiple project portfolios for AI training data initiatives.

• Directs delivery and scaling efforts, including capacity planning, vendor oversight, and process automation.

• Maintains consistent quality across projects, enhances performance, and collaborates on work planning with the Senior Quality Analyst.

• Supervises a suite of programs that facilitate and expand Generative AI data operations.

• Plans and executes a series of projects from start to finish; establishes priorities, milestones, and transitions across different time zones.

• Conducts regular status updates, risk assessments, and executive briefings; aligns project scope and budget with account and operations leaders.

• Anticipates and secures capacity for raters/annotators; balances shifts, throughput, and skill sets among vendors and internal teams.

• Collaborates with the Senior Quality Analyst on defining acceptance criteria, conducting audits, and implementing corrective measures; ensures guidelines are consistent across projects.

• Identifies manual processes; tests automation solutions with Operations Technology.

• Establishes expectations, service level agreements (SLAs), and playbooks; reviews performance and drives enhancements or modifications as necessary.

• Develops and monitors budgets, expenditures, and profit margins; manages change orders to safeguard financial results.

• Leads root cause analysis and action planning; escalates high-impact issues with options and ramifications.

• Facilitates planning and quarterly business review-style evaluations; articulates results, risks, and subsequent actions in straightforward terms.

• Mentors P1 Project Managers and C2–C3 Coordinators on project planning, quality assurance, and tools.

• Ensures compliance with data handling, privacy, and access controls across all workstreams.

• Collects feedback, offers training and coaching, and promotes team unity through team-building exercises.

⛳️ Requirements

• Bachelor’s degree or equivalent experience in business, operations, data/engineering, or a related field.

• 2–3 years of experience leading multi-project portfolios or large-scale multi-workstream programs in AI data, content review, labeling/annotation, or similar areas.

• Expertise in capacity planning, vendor management, and quality systems.

• Proficient in using spreadsheets, project management/task boards, and basic business intelligence tools.

• Familiarity with SQL/ETL concepts is advantageous.

• Near-native proficiency in English with strong writing and editorial capabilities.

• Practical experience with generative AI tools (text, voice, or video).

• Background in quality assurance testing, rubric design, or assessments related to AI safety/ethics.

• Familiarity with data annotation platforms and model evaluation tools.

• Ability to understand code, datasets, and system workflows conceptually.

🏝️ Benefits

• Health insurance.

• Professional development opportunities.