Project Manager

Role Overview

Project Manager

Responsibilities

• Lead the delivery across Engineering, AI/ML, DevOps, QA, and Product teams.
• Define project scope, goals, and deliverables, translating complex business needs (e.g., dynamic pricing, personalization engines) into structured technical requirements for data scientists and engineers.
• Oversee the entire lifecycle, including managing data pipelines, model development, testing, and deployment into live systems.
• Ensure projects adhere to AI ethics, compliance, and data security standards.
• Develop detailed project plans, including timelines, milestones, and resource allocation.
• Own deadlines, dependencies, risks, and escalation across all project facets.
• Monitor progress, track budgets, and ensure resource availability for AI project tasks.
• Leading and mentoring teams and enforcing accountability.
• Facilitate strong stakeholder and executive communication, translating complex AI progress and challenges into business-friendly language.
• Motivate cross-functional teams and build strong relationships across all management levels.

Requirements

• Bachelors degree in computer science, Engineering, Information Technology, Master's degree preferred.
• Proven experience of 5+ years managing complex SaaS or cloud-native platforms, with specific experience in AI, machine learning, or data science projects.
• Excellent skills in project management methodologies, particularly Agile and Scrum. Experience with tools like Jira is preferable.
• Strong understanding of core AI concepts, technologies, and development lifecycles. Must be comfortable with concepts like deep learning, NLP, and data science, even if not building models directly. Familiarity with AI development tools (e.g., TensorFlow, PyTorch) and cloud AI platforms (Azure AI, AWS AI) is a plus.
• Must possess a "scale-up mindset"—thriving in a high-growth, fast-moving, and sometimes ambiguous environment where they need to take ownership and execute relentlessly.
• Familiarity with IT governance standards like SOC, ISO 27001 required, especially for enterprise SaaS.

Preferred Qualifications

• Ability to evaluate data quality and work effectively with datasets, which is fundamental to AI success.
• PMP (Project Management Professional) or Agile certifications (like PMI-ACP or CSM)
• Ability to operate with considerable autonomy, manage competing priorities, and drive projects to completion in a fast-paced environment.
• Prior experience in a travel, hospitality, or global company environment where coordinating across different locations or time zones was required.
• Exposure to SaaS or technology startups during periods of rapid growth, with understanding of how operations needs evolve as teams scale.
• Passion for technology and innovation in workplace operations – you stay updated on new tools and trends (including AI applications) that could improve employee experience and operational efficiency.