Senior Delivery Manager - Life Sciences (m/f/d)

EPAM Systems; Deutschland; Hybrid; EUR 110,000 - 160,000; Full time

Job summary

EPAM Systems in Germany seeks a Senior Delivery Manager to lead AI-native delivery for pharma and life sciences, blending regulatory insight with production-ready software. The role is hybrid, based in Germany, and focused on embedding AI and data practices across the engineering lifecycle for compliant, scalable outcomes.

You will own scope, schedule and budget across multiple engagements, manage risk and governance, build distributed teams, and partner with sales to shape AI-driven delivery

Qualifications

• Ten+ years in IT delivery management, pharma or life sciences experience.
• Experience running large or multi-stream programmes with budget responsibility.
• Hands-on delivery of data, cloud and AI/ML solutions; understand AI impact on delivery.

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

Skills

Delivery management

GxP compliance

Cloud & AI/ML delivery

Executive presence

Stakeholder management

Leadership

Fluent English

Fluent German

Education

PMP

PgMP

SAFe

ISPE/GAMP

Tools

CSV/CSA

GAMP 5

Job description

Pharma and life sciences organizations in Europe face a unique challenge: moving AI from pilot to production while meeting strict regulatory and audit demands. The industry expects delivery that is not only fast and reliable but also stands up to scrutiny from both business and compliance leaders. This Senior Delivery Manager role is hybrid, based in Germany and centers on AI-native delivery for clients who cannot afford missteps. You will shape how delivery is run, embedding AI and data practices across the engineering lifecycle and operating model. The mandate is to ensure outcomes, quality and compliance are achieved at scale, with measured results that matter to clients. The work is visible at the highest levels and the stakes are real. Getting this right means clients can trust their platforms in production and in audit.

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 and German is necessary
• Nice to have Experience in R&D, clinical, regulatory, pharmacovigilance, commercial or manufacturing/quality domains
• Experience at a life sciences client, consultancy or global IT services provider, with PMP, PgMP, SAFe or ISPE/GAMP credentials
• An existing network among European pharma and technology partners