Delivery Manager – Data, AI, and Automation Projects
ITDS
Oversees end-to-end delivery of AI and automation projects in a regulated environment (e.g., pharma). Manages an agile squad, coordinates with Product Owner and business stakeholders, ensures compliance (GxP), and drives roadmap alignment with strategy.
Brakuje: client name and industry specifics beyond 'regulated', team composition and exact size.
Oversees end-to-end delivery of AI and automation projects in a regulated environment (e.g., pharma). Manages an agile squad, coordinates with Product Owner and business stakeholders, ensures compliance (GxP), and drives roadmap alignment with strategy.
- ✓Competitive B2B rates (20,160 – 25,200 PLN netto+VAT/mies)
- ✓Interesting domain combining AI, automation, and data
- ✓Clear leadership role with ownership of delivery
- ✓Agile environment with modern tooling (Jira, Azure DevOps)
- !Client is unnamed, making it hard to assess company culture and project specifics
- !Regulated environment (GxP) is a plus but not detailed – may require learning if not familiar
- •Facilitating agile ceremonies (daily stand-ups, sprint planning, retrospectives) for the AI and Automation squad
- •Collaborating with the Product Owner to prioritize and refine the backlog
- •Identifying and mitigating risks, dependencies, and blockers across sprints and releases
- •Communicating project status, progress, and decisions to business stakeholders and leadership
- •Coordinating development teams and ensuring alignment on delivery goals
- •Planning and tracking project roadmaps for AI and automation solutions
- •Managing releases and ensuring timely delivery within scope, budget, and quality standards
- •Ensuring compliance with regulated environment requirements (e.g., GxP) throughout the delivery lifecycle
Stanowisko liderskie — wymaga zarówno doświadczenia technicznego jak i umiejętności zarządzania.
An experienced project manager with at least 4 years in agile delivery, familiarity with cloud platforms and AI/automation basics, and ability to manage risks and communicate with stakeholders in English.
Candidates without project management experience or those seeking a purely hands-on technical role. Also not for those uncomfortable with regulated environments or stakeholder-heavy coordination.
- ?What specific regulated industry is the client in (e.g., pharma, medical devices)?
- ?How many squads or teams will I be responsible for?
- ?What is the current team size and composition (developers, data scientists, etc.)?
- ?What is the current stage of the AI/automation projects (greenfield, expansion, maintenance)?
- ?What are the key performance indicators for success in this role?
- ?Are there any on-call or off-hours responsibilities?
- ?How long is the assignment expected to last (project duration)?
- −Client name and industry specifics beyond 'regulated'
- −Team composition and exact size
- −Project duration and scale
- −Details on the hiring process (interviews, stages)