Senior Specialist, AI Delivery Management

About the role

The Senior Specialist, AI Delivery Management is an end-to-end delivery lead within the APEX E2E Delivery Management team in Prague. The role owns AI engagements from intake through production and handover, often managing several workstreams in parallel, and works closely with customers to make sure releases are ready.

Key responsibilities

• Lead each engagement end to end: refine scope, build the team, plan, manage and escalate, validate results, deploy to production, hand over to the run team and capture feedback.
• Build an integrated delivery plan with milestones and dependencies, keep a RAID log, and follow the playbook exit checks (named sponsor, value and owner, scope and AI quality bar signed off, working software every two to three weeks, user confirmation, IT owner acceptance).
• Set and hold an input cutoff for each release, track effort, cost and budget and flag variances early.
• Plan and coordinate the SDLC, including requirements, design reviews, testing (including UAT) and release, with validation deliverables for GxP-regulated solutions.
• Understand the architecture of delivered solutions (generative AI assistants, RAG, ML models, data pipelines, APIs, cloud services) well enough to spot technical risk and explain trade-offs to customers.
• Check for existing products and reusable assets, and apply the Build shop's frameworks for quality, security, privacy and responsible AI.
• Act as the single customer contact, help customers define the right problem, facilitate workshops and demos, and write clear scope agreements and hand-over documents.
• Lead a multidisciplinary team without line authority, share lessons learned and support colleagues new to the role.
• Post weekly Jira updates for the leadership team, keep the engagement page and RAID log current, and raise capacity conflicts early.

Required profile

• University degree (Bachelor's or Master's) in Computer Science, Engineering, Information Systems, Data Science or a related field, or equivalent practical experience.
• At least 5 years in software, data or IT delivery roles, including at least 2 years leading delivery of software projects through the full SDLC into production.
• Experience delivering AI, machine learning, generative AI, automation or data solutions.
• Fluent English, written and spoken, including explaining technical topics in plain language.
• Experience in a matrix organization with geographically distributed teams and contractors.
• Desirable: regulated environment (GxP, CSV) or pharmaceutical/life sciences background, project or agile certification, and design thinking or business consulting background.

Required skills

• Working knowledge of agile delivery (Scrum or Kanban), backlog management, release management, testing and defect management.
• Experience building integrated plans, RAID logs, budgets and effort forecasts.
• Desirable: Jira and Confluence, AWS or Azure, MOSAIQ.