Technical Project Manager

Position Overview

The Technical AI Project Manager plays a critical role in driving the successful delivery of Artificial Intelligence (AI) projects. This position bridges the gap between technical AI development teams and business stakeholders, ensuring that AI solutions are delivered on time, within scope, and aligned with organizational objectives. The ideal candidate combines strong project management skills with technical knowledge of AI methodologies, tools, and best practices.

Key Responsibilities

Lead end-to-end planning, execution, and delivery of AI and machine learning projects, ensuring alignment with business goals and technical feasibility.

Collaborate with cross-functional teams including data scientists, software engineers, product managers, and business analysts to define project scope, objectives, and deliverables.

Develop detailed project plans, manage schedules, allocate resources, and monitor progress to ensure timely delivery of project milestones.

Identify potential risks, develop mitigation strategies, and proactively resolve issues that may impact project timelines or quality.

Translate complex technical requirements and AI concepts into clear, actionable tasks for both technical and non-technical audiences.

Oversee the implementation of AI models, data pipelines, and system integrations, ensuring adherence to best practices in software development and AI ethics.

Manage project budgets, track expenditures, and report on project status to stakeholders and senior management.

Ensure compliance with data security, privacy regulations, and organizational policies throughout the AI project lifecycle.

Drive continuous improvement by capturing lessons learned and sharing best practices across the organization.

Qualifications

Bachelor’s or Master’s degree in a related field

3+ years of experience managing technical projects, preferably in AI, machine learning, or data analytics domains.

Strong understanding of AI/ML concepts, and software development life cycle.

Proven ability to manage multiple projects simultaneously in a fast-paced, agile environment.

Excellent organizational, communication, and leadership skills.

Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and MLOps tools is a plus.

Project Management Professional (PMP), Agile, or Scrum certification is desirable.

Key Competencies

Technical acumen in translating requirements for the AI team