Project Manager (AI & Big Data)

Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company’s work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product – ContextClue – and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.

As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.

As a Project Manager, you will lead complex AI and software development projects end-to-end for international enterprise clients. This is not a task-coordination role. You will act as a delivery owner, consultant, client partner, and team leader - fully accountable for project scope, quality, timelines, stakeholder alignment, and business impact. We are looking for someone who understands how modern software and AI systems are built, how consulting engagements operate, and how to guide both clients and technical teams through complex, high-visibility initiatives.

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  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.

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  Act as the primary point of contact and trusted advisor for international, enterprise-level clients.

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  Manage relationships with senior stakeholders, including executive-level communication.

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  Ensure alignment between business objectives and technical execution.

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  Translate complex business challenges into structured, deliverable technical roadmaps.

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  Drive scope definition, risk management, budgeting, planning, and resource allocation.

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  Lead and mentor cross-functional teams (Data Scientists, ML Engineers, Data Engineers, Software Engineers).

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  Support and empower the team as a leader — providing clarity, feedback, and direction.

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  Identify opportunities to expand collaboration and contribute to account growth.

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  Participate in pre-sales activities, including shaping solution approaches and connecting technical proposals to business needs.

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  Contribute to recruitment and team scaling initiatives.

• 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 - comfortable operating in a consulting and quasi-account management capacity.

• Excellent leadership skills and ability to guide senior technical experts.

• Outstanding communication and presentation skills.

• Fluent English (C1/C2 level) is mandatory, with the ability to independently lead meetings, workshops, and executive discussions.

• Strong business mindset and accountability for measurable outcomes.
  

• Technical background (e.g., Python, SQL, Azure, 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.