Job Description

This is a Directhire position with our client who is in the services industry. Our Client has several in-house projects and are looking for a senior Technical Project manager to manage few projects focused on Cloud and AI. This position requires a hybrid presence for 2 - 3 days a week in Mclean, VA.

We are looking for a highly skilled Technical Project Manager (TPM) with a strong background in full-stack development, cloud solutions, data management, and AI software engineering. The ideal candidate is a strategic thinker with hands-on experience in these areas who can lead projects and work effectively with technical teams to deliver scalable, robust solutions.

Responsibilities:

• Own and drive complex projects end-to-end, coordinating across teams to ensure successful, timely delivery.
• Act as a key interface between engineering, data, and AI teams, product management, stakeholders, and customer, translating technical requirements into actionable project plans.
• Utilize your technical expertise to contribute to project scoping, architectural discussions, and problem-solving, understanding the detailed needs of engineering teams.
• Define project timelines, resources, and KPIs while aligning teams on goals and milestones.
• Proactively identify, analyze, and manage potential risks and bottlenecks throughout the project lifecycle, ensuring quality and on-schedule delivery.
• Implement agile methodologies to refine project processes and support iterative improvement across development and deployment cycles.

Requirements:

• Proven background in full-stack application development, cloud architecture (e.g., AWS, Azure, GCP), data engineering, and/or AI-driven projects.
• 8+ years of experience managing technical projects, in a software engineering, data science, and/or cloud infrastructure environment.
• Previous experience as a software engineer, data engineer, or similar technical role. Familiarity with at least one programming language (e.g., Python, JavaScript, Java, Golang) and cloud infrastructure tools (e.g., Kubernetes, Docker, Terraform).
• Strong verbal and written skills with the ability to communicate technical concepts clearly and effectively to non-technical stakeholders.
• Demonstrated analytical and problem-solving skills, especially under tight timelines and with evolving project requirements.
• Experience working in an agile environment, with a commitment to driving projects iteratively and adapting quickly to change.

Preferred Qualifications:

• PMP, PMI-ACP, or CSM certification.
• Practical understanding of artificial intelligence lifecycle and related tools (e.g., TensorFlow, PyTorch, SageMaker, Bedrock).
• Familiarity with multi-cloud and hybrid cloud setups.

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