Modernization Technical Project Manager BR

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Requirements:

• 4+ years of experience as a Modernization TPM in a client-facing role or consulting environment
• 3+ years of recent (last 10 years), hands-on experience as a software developer working with legacy code bases (e.g., .NET, Visual Basic, COBOL, Java)
• 1+ years of experience managing or collaborating with frontend teams, or hands-on frontend development to ensure quality UI output in modernized code
• Proven experience planning and executing modernization/migration projects from legacy tech stacks to modern tech stacks
• Understanding of AI/ML concepts, tools, and practical applications
• Proven ability to gather and document technical requirements and translate them into actionable tasks for engineering teams
• Proficiency with project management tools (e.g., Trello, Jira) and Agile methodologies (e.g., Scrum, Kanban, XP)
• Experience overseeing modernization project timelines and resource allocation
• Strong problem-solving skills and ability to manage multiple priorities in fast-paced environment
• Excellent communication and interpersonal skills, with the ability to work effectively across technical and non-technical teams

Responsibilities:

• Manage end-to-end delivery of Mechanized AI 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 the integration of generative AI capabilities into clients’ modernization efforts, ensuring seamless adoption
• Collaborate with enterprise clients to gather technical and functional requirements and translate them into actionable plans for the technical team
• Develop and maintain project scope, timelines, deliverables, budgets, and resource plans to ensure on-time, high-quality, on-budget delivery of modernization projects
• Serve as the primary contact between clients and internal teams, ensuring clear communication and alignment on project goals and expectations
• Lead cross-functional project teams, delegating tasks effectively and aligning resources with project goals
• Engage with AI and LLM (Large Language Model) teams to improve automation, documentation, and code modernization outcomes
• Establish and maintain best practices to ensure code quality, security, and compliance with organizational and industry standards
• Identify risks, issues, and dependencies, and develop mitigation strategies to keep projects on track
• Facilitate regular status meetings and provide detailed project updates to internal and external stakeholders (technical and non-technical)
• Foster a culture of continuous improvement, knowledge sharing, and feedback loops among project teams. Continually refine project workflows and delivery processes, leveraging lessons learned and stakeholder feedback