Senior Project Manager – Generative AI Data Operations
Welocalize
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇲🇽 Mexico
Visit company websiteJob Level
Senior
Tech Stack
RPA
About the role
- 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.
- Run cadence (status, risk, exec updates); align scope and budget with account and operations leads.
- Forecast and secure rater/annotator capacity; balance shifts, throughput, and skills across vendors and internal teams.
- Partner with the Sr. Quality Analyst on acceptance criteria, audits, and corrective actions; keep guidelines aligned across projects.
- Identify manual steps; pilot automation with Ops Tech (templates, scripts, RPA, API-driven flows); scale what works.
- Set expectations, SLAs, and playbooks; review performance and drive improvements or changes as needed.
- Build and track budgets, burn, and margins; manage change orders to protect financial outcomes.
- Lead root-cause and action plans; escalate high-impact items with options and impact.
- Lead planning and QBR-style reviews; explain results, risks, and next steps in clear terms.
- Coach PMs and Coordinators on planning, QA, and tools; support onboarding and skills growth (no formal line management required).
- Ensure data handling, privacy, and access controls are followed across all workstreams.
Requirements
- 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.
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
capacity planningvendor managementprocess automationquality assurancedata annotationrubric designAI safety evaluationgenerative AI toolsdata handlingsystem workflows
Soft skills
leadershipcommunicationorganizational skillscoachingindependent workwriting skillseditorial skillsperformance improvementrisk managementcollaboration