Technical Project Manager - Mexico
6.0/10
Appen
Not specified
Remote
mid
about 1 month ago
May be outdated
aiprojecttechproject managementAIMLdata operationsExcelSQL
AI Summary
The vacancy is well-defined but lacks compensation details, affecting overall quality.
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Description
What you'll do
- •Lead planning and execution of GenAI projects, ensuring clear scope, timelines, execution, and deliverables while maintaining client relationships.
- •Deliver projects on time and to defined quality benchmarks through disciplined operational management.
- •Drive accurate forecasting and proactive risk mitigation to protect delivery commitments.
- •Align internal teams, contributors, and clients to ensure clarity of expectations and execution standards.
- •Strategically improve productivity and quality by identifying bottlenecks and applying data driven operational decisions.
- •Strengthen stakeholder engagement through structured communication and transparent daily, weekly, and monthly reporting.
- •Establish structured project closure practices, capturing lessons learned, iterating operating processes, and identifying future opportunities.
- •Drive thought leadership and increase scalability of delivery models by applying repeatable workflows and structured improvements to accelerate delivery while maintaining quality.
Conditions
- •Nice to Have: Bachelor’s degree in a related field such as Economics, Business, Computer Science, Linguistics, Engineering, or Data Science.
- •Advanced degree a plus.
Requirements
- •4 plus years of experience in project management, technical operations, or AI and ML data programs, ideally in high volume data operations.
- •Proven ability to manage multiple projects while upholding high delivery and quality standards.
- •Familiarity with large language models or generative AI, with experience in data annotation or AI training data projects strongly preferred.
- •Strong planning, organization, and stakeholder communication capability across technical and non-technical audiences.
- •Demonstrated risk management and forecasting discipline within project environments.
- •Strong data orientation, with the ability to interpret dashboards, identify bottlenecks, and make operational decisions based on metrics.
- •Working knowledge of tools such as Excel or SQL, with basic coding or data skills preferred.
- •Project Management qualification (ideally from Project Management Professional PMP) or Udemy, Coursera or Google certification.
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