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Sr Delivery Manager- LLM

2 meses atrás

Brasília, Brasil Turing Tempo inteiro

Position Overview: We are seeking a dynamic and results-driven Sr. Delivery Manager with over 15 years of experience in managing large-scale delivery projects to oversee the successful execution of data annotation initiatives. This role will manage a team of 300+ annotators and collaborate with cross-functional teams to ensure data integrity, optimize internal processes, and deliver high-quality results consistently. The ideal candidate will have a strong technical background, proven leadership skills, and a passion for innovation in AI and machine learning, with specific expertise in Python, multimodality, and mathematical analysis.



Primary Responsibilities:


1. Team Leadership and Development

  • Lead, mentor, and develop a large team of annotators, ensuring they meet and exceed project goals.
  • Conduct performance analyses, identify areas for improvement, and implement targeted training initiatives.
  • Foster a culture of excellence, continuous learning, and employee engagement through development programs and performance reviews.
  • Develop and implement strategies, including gamification, to motivate and recognize high-performing team members.



2. Project Management and Coordination

  • Collaborate with cross-functional teams (XFN) to define, refine, and communicate project scope, objectives, and quality control guidelines.
  • Develop accurate project timelines, prioritize tasks, and allocate resources to ensure timely delivery of high-quality outputs.
  • Identify and address project blockers, adjusting resources and strategies as needed to meet project deadlines.
  • Maintain active communication with stakeholders, providing regular updates on project progress, challenges, and solutions.



3. Data Quality and Integrity

  • Dive deep into the data annotation process to understand and address inefficiencies and ensure the highest level of data integrity.
  • Analyze data sets and evaluation results to identify key findings, trends, and anomalies, and communicate actionable insights to relevant teams.
  • Ensure the security and integrity of data throughout the annotation lifecycle.
  • Share best practices and lessons learned with the team to promote continuous improvement in data quality and annotation processes.



4. Technical Collaboration and Innovation

  • Work closely with technical teams to develop, refine, and optimize internal tooling that supports efficient and accurate data annotation.
  • Stay informed of industry trends, emerging technologies, and best practices in AI, machine learning, and multimodal data processing.
  • Contribute to the development and implementation of innovative strategies to reduce task completion times and improve overall efficiency.
  • Oversee the creation and maintenance of documentation for technical processes, guidelines, and training materials.



Secondary Responsibilities:

  • Stakeholder Management:
  • Build and maintain strong relationships with stakeholders across the organization to ensure alignment on project goals and expectations.
  • Communicate complex technical concepts to both technical and non-technical stakeholders clearly and effectively.
  • Continuous Improvement:
  • Foster a culture of continuous improvement, encouraging the team to proactively identify and implement process enhancements.
  • Lead initiatives to incorporate feedback, lessons learned, and industry best practices into the team's workflows.
  • Strategic Planning:
  • Collaborate with senior leadership to develop and implement long-term strategies for the data annotation team, aligned with organizational goals.
  • Identify opportunities for growth and expansion within the team's capabilities, contributing to the overall success of the organization.



Required Skills and Qualifications:

  • 15+ years of experience in project delivery, with a proven track record of successfully managing large-scale projects and teams.
  • Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Mathematics, AI, or related disciplines).
  • Proven leadership experience managing large teams, with a strong track record of developing high-performing teams.
  • Deep technical expertise in AI, machine learning concepts, and multimodal data processing.
  • Proficiency in Python for data analysis, tool development, and process automation.
  • Strong mathematical skills, with the ability to apply advanced mathematical concepts to data analysis and problem-solving.
  • Extensive experience in data curation, annotation, and quality control processes.
  • Strong analytical skills, with the ability to analyze data sets, identify trends, and provide actionable insights.
  • Excellent communication skills, capable of effectively conveying technical concepts to diverse audiences.
  • Detail-oriented with a strong focus on delivering high-quality outputs and maintaining rigorous quality standards.
  • Experience in creating and maintaining documentation for technical processes and training materials.
  • Passionate about AI, data integrity, and leading teams to success.



Preferred Skills and Qualifications:

  • Advanced degree in a relevant field.
  • Experience with gamification strategies to drive team motivation and performance.
  • Familiarity with project management tools and methodologies.
  • Knowledge of the latest multimodal AI technologies and how they can be leveraged to improve data annotation processes.