Senior Delivery Manager - Life Sciences

Wer wir sind

EPAM Systems ist ein führender Anbieter von digitaler Ingenieurskunst, Cloud- und KI-gestützten Transformationsdiensten sowie ein wichtiger Partner für Unternehmens- und Erfahrungskonsultationen für globale Unternehmen und Startups.

Responsibilities

• Own scope, schedule, budget, quality, risk and margin across a portfolio of engagements or a multi-workstream programme
• Keep delivery health, risks and forecasts current in EPAM’s delivery systems, escalating early and recovering quickly
• Manage contracts and change control for fixed-price, milestone-based and time-and-materials work, protecting margin and avoiding commitments the team cannot keep
• Run delivery with AI embedded across the software development lifecycle and in delivery management, tracking the measured effect on productivity and quality
• Take generative AI and agentic solutions from proof of concept into validated production, with human oversight, evaluation and monitoring designed in
• Work with Sales and Pursuit to shape pricing and delivery models that reflect AI-driven productivity, not effort-based billing alone
• Apply GxP, computerised system validation and data-integrity principles in planning, building, testing and documenting, partnering with client QA and validation functions
• Understand regulatory requirements (such as 21 CFR Part 11, EU Annex 11, GDPR, EU AI Act) and surface their delivery implications early
• Build and sustain relationships with client IT, business and quality leaders, running governance, steering committees and executive reporting
• Build and lead distributed, multi-disciplinary teams across EPAM’s European and global delivery centres, developing delivery managers and team leads

Requirements

• Ten or more years in IT delivery management, including significant experience in pharma, biotech or another life sciences setting, with GxP-regulated delivery experience
• Track record of running large or multi-stream programmes, or a portfolio of engagements, to plan and to budget, including fixed-price or milestone-based delivery
• Hands-on experience delivering data, cloud and AI/ML solutions, with a clear, practical view of how AI changes delivery economics, team shape and risk
• Working knowledge of validated-system practices (CSV/CSA, GAMP 5) and data integrity, with ability to hold a credible conversation with client QA
• Strong grounding in modern delivery practice: Agile at scale, DevOps, API-driven integration and metrics-based governance
• Executive presence, confident leading steering committees, negotiating scope and delivering difficult messages to senior client stakeholders
• Proven people leadership across distributed teams
• Fluent English; German or French is an advantage

Fähigkeiten

ML / AIICT

Gehaltsspanne

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