Manager Project Manager driving strategy and executing high priority projects at Capital One. Leading autonomous AI agent transition to scaled production experience for 50 million customers.
About the role
- Senior Project Manager overseeing delivery and scale of AI training data programs. Managing multi-project portfolios and collaborating with cross-functional teams.
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
- Plans work jointly with the Sr. Quality Analyst
- Forecast and secure rater/annotator capacity; balance shifts, throughput, and skills across vendors and internal teams
- Partners with the Sr. Quality Analyst on acceptance criteria, audits, and corrective actions
- Identifies manual steps; pilots automation with Ops Tech; scales successful efforts
- Manages financial control by building and tracking budgets, burn, and margins
- Leads root-cause and action plans; escalates high-impact items with options and impact
- Coaches P1 PMs and C2–C3 Coordinators on planning, QA, and tools
- Collaborates with the recruiting team to manage hiring efforts and select qualified candidates
Requirements
- 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
- 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)
- Multilingual ability beyond English
Benefits
- Professional development opportunities
- Remote work flexibility
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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