Middle Project Manager

About the Position

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

We’re looking for a Middle Project Manager to lead AI projects (AI/ML) from kick-off to delivery – planning milestones, managing risks, and keeping clients aligned along the way. You’ll work closely with engineers and stakeholders, run clear communication and reporting, and help improve our delivery processes.

Responsibilities

• Manage AI/ML/CV projects end-to-end across different industries (planning, milestones, scope, change control, acceptance).
• Own delivery governance project charter, status reporting, RAID (risks/assumptions/issues/dependencies), stakeholder communication, escalation.
• Planning & scoping requirements clarification, estimation support with tech leads, WBS, delivery plan, release/milestone schedule.
• People management team coordination, workload planning, 1:1s, feedback loops, removal of blockers.
• Risk & quality management risk register, mitigation plans, delivery health checks, lessons learned.
• Support presales (optional share): discovery calls, high-level planning, SoW inputs, timelines, assumptions, and delivery approach.

Requirements

• Must-have:

  • 2+ years of experience in project management / delivery coordination (tech/IT/consulting preferred).
  • Understanding of CRISP-DM, SDLC and delivery methodologies: Agile, Predictive (Waterfall).
  • End-to-end project ownership experience (from kickoff to delivery/closure).
  • Experience with planning, scoping, estimation coordination, and risk management.
  • People management basics – team coordination + conducting 1:1s
  • Strong communication and documentation skills (status updates, action items, meeting facilitation).
  • English B2–C1, you can confidently run calls, write updates, and explain decisions.
  • Certification: Google Project Management (or equivalent) required.

• Nice-to-have:

  • CAPM, ICP-APM (or any PMI/ICAgile certification track).
  • Presales experience (discovery, scoping, SoW contribution, client presentations).
  • Budget & margin management (fixed-price economics, forecasting, tracking costs vs earned value).
  • Experience in AI/ML/CV domains (even if non-technical, you understand lifecycle + typical risks).

We Offer

• Free English classes with a native speaker and external courses compensation;
• PE support by professional accountants;
• 40 days of PTO;
• Medical insurance;
• Team-building events, conferences, meetups, and other activities;
• There are many other benefits you’ll find out at the interview.

About the Company

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

Know someone, who'd be a great fit for this role?

Submit your candidate via the referral program and receive a bonus for a successful recommendation!