Technical Project Manager

Job Overview:

Job Level - Manager

We are seeking a results-oriented Technical Project Manager to lead our most ambitious AI initiatives. In this role, you will be responsible for managing the end-to-end project lifecycle, ensuring that our cutting-edge innovations translate into impactful business solutions. You will bridge the gap between business stakeholders and our technical data science and engineering teams, driving projects from conceptualization to deployment.

Key Responsibilities

• Project Planning & AI Lifecycle Management: Define project scope and manage AI-specific milestones, including data preparation, model training/evaluation, and production deployment.
• Cross-Functional Coordination: Facilitate collaboration between data scientists, backend engineers, and product owners to ensure technical feasibility and business alignment.
• Stakeholder Communication: Serve as the primary point of contact, translating complex AI technicalities into clear progress reports and strategic updates for leadership.
• Budget & Risk Management: Identify potential technical hurdles or data dependencies early; manage project budgets and develop mitigation strategies for non-deterministic AI outcomes.

Required Technical Skills

• Project Management Frameworks: Expert proficiency in Agile/Scrum methodologies and tools like Jira, Confluence, or Azure DevOps.
• AI/ML Concepts: Strong conceptual understanding of LLM lifecycles, Retrieval-Augmented Generation (RAG), and data engineering requirements.
• Technical Familiarity: Ability to navigate Python-based environments and understand API documentation (e.g., FastAPI) to better manage developer timelines.

Leadership & Soft Skills

• Stakeholder Management: Exceptional ability to manage expectations and align diverse teams toward unified project goals.
• Team Leadership: Proven track record of leading technical teams and fostering a high-performance culture.
• Communication: Ability to translate complex technical AI concepts into clear business objectives for non-technical stakeholders.
• Agile Mindset: Experienced in working within Agile/Scrum frameworks, managing sprint deliverables, and adapting rapidly to evolving AI technologies.
• Perform project closure activities, including final reporting, lesson learned documentation, and archiving of project materials.

Education & Qualifications

• Bachelors or Masters degree in Computer Science, Engineering, or a Management field.
• Relevant professional certifications such as PMP, CSM, or Prince2 are highly preferred, along with experience in AI/ML project delivery.