Project Manager (AI & Big Data)
New
Warszawa, Krucza 50, Kraków, Aleksandra Lubomirskiego 20, Wrocław, Świdnicka 40, Katowice, -, Gdańsk, -, Warszawa, Country code: PLFull-TimeSenior
Salary3869 - 5373 CHF per month b2b currencySource=conversion; 4199 - 5832 EUR per month b2b currencySource=conversion; 3614 - 5019 GBP per month b2b currencySource=conversion; 4767 - 6621 USD per month b2b currencySource=conversion; 18000 - 25000 PLN per month b2b currencySource=original
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Job Details
- Languages
- Fluent English (C1/C2 level) is mandatory
- Required Skills
- Project ManagementPythonSoftware DevelopmentArtificial IntelligenceData scienceAccount ManagementLLMGenerative AI
Requirements
- 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) mandatory.
- Strong business mindset and accountability for measurable outcomes.
Responsibilities
- Lead and own end-to-end delivery of AI, Machine Learning, Big Data, and software projects from discovery through implementation.
- 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 including Data Scientists, ML Engineers, and Data Engineers.
- Participate in pre-sales activities, shaping solution approaches and connecting technical proposals to business needs.
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