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- Modernization Technical Project Manager

Posted 3 months agoViewed

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💎 Seniority level: Manager, 4+ years

📍 Location: Argentina

🔍 Industry: Artificial Intelligence

🏢 Company: Mechanized AI👥 11-50Artificial Intelligence (AI)Big DataMachine LearningInformation TechnologySoftware

🗣️ Languages: English

⏳ Experience: 4+ years

🪄 Skills: AWSDockerProject ManagementAgileJavaMachine LearningAzure.NET

Requirements:
  • Bachelor's degree in computer science, software engineering or related field.
  • 4+ years of experience as a Modernization TPM in a client-facing role or consulting environment.
  • 3+ years of hands-on experience as a software developer working with legacy code bases (e.g., .NET, Visual Basic, COBOL, Java).
  • Proven experience planning and executing modernization/migration projects.
  • Understanding of AI/ML concepts and practical applications.
  • Proven ability to gather and document technical requirements.
  • Proficiency with project management tools (e.g., Trello, Jira) and Agile methodologies.
  • Strong problem-solving skills and ability to manage multiple priorities.
  • Excellent communication and interpersonal skills.
  • Cl/C2 level English is required.
Responsibilities:
  • Manage end-to-end delivery of Mechanized Al infrastructure and application modernization projects.
  • Oversee the migration of virtual machines (VMS) to containers and the modernization of legacy applications (e.g., .NET, COBOL, Java) to modern technology stacks.
  • Coordinate integration of generative AI capabilities into clients' modernization efforts.
  • Gather technical and functional requirements from enterprise clients and translate them into actionable plans.
  • Maintain project scope, timelines, deliverables, budgets, and resource plans for on-time delivery.
  • Serve as primary contact between clients and internal teams, ensuring clear communication.
  • Lead cross-functional project teams and delegate tasks effectively.
  • Engage with AI and LLM teams to improve outcomes.
  • Establish best practices for code quality and compliance.
  • Identify risks and develop mitigation strategies.
  • Facilitate regular status meetings and provide updates to stakeholders.
  • Foster a culture of continuous improvement among project teams.
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