Project Manager (AI & Big Data)

• Proven experience leading end-to-end IT or software development projects, with full ownership of delivery.
• Hands-on experience in projects involving AI, Machine Learning, Data Engineering, Big Data, or advanced software systems.
• Strong understanding of the software development lifecycle (SDLC) and practical exposure to engineering environments.
• Previous experience in a consulting company, AI/data-focused organization, or software house.
• Demonstrated experience working with large, international corporate clients.
• Strong client-facing experience, including working in a consulting and quasi-account management capacity.
• Leadership skills and ability to guide senior technical experts.
• Communication and presentation skills.
• Fluent English (C1/C2 level), with the ability to independently lead meetings, workshops, and executive discussions.
• Strong business mindset and accountability for measurable outcomes.
• Leadership and mentoring experience is highly desirable.

Nice to have:

• Technical background, for example Python, SQL, Azure, or AWS.
• Hands-on experience with Machine Learning, LLMs, Generative AI, Computer Vision, Big Data, or predictive modeling projects.
• Experience managing distributed or international teams.
• Background in enterprise-scale digital transformation programs.

• Lead and own end-to-end delivery of AI, Machine Learning, Big Data, and broader IT/software projects, from discovery and requirements gathering through implementation and final delivery.
• Act as the primary point of contact and trusted advisor for international, enterprise-level clients.
• Manage relationships with senior stakeholders, including executive-level communication.
• Ensure alignment between business objectives and technical execution.
• Translate complex business challenges into structured, deliverable technical roadmaps.
• Drive scope definition, risk management, budgeting, planning, and resource allocation.
• Lead and mentor cross-functional teams of Data Scientists, ML Engineers, Data Engineers, and Software Engineers.
• Support and empower the team by providing clarity, feedback, and direction.
• Identify opportunities to expand collaboration and contribute to account growth.
• Participate in pre-sales activities, including shaping solution approaches and connecting technical proposals to business needs.
• Contribute to recruitment and team scaling initiatives.