Senior Delivery Manager - Life Sciences

EPAM Systems

Basel

Hybrid

CHF 180,000 - 240,000

Full time

4 days ago
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Benefits offered by this job

5 weeks of vacation
EPAM Employee Stock Purchase Plan (ESQ
Enhanced parental leave
Extended pension plan
Travel insurance

Job summary

EPAM Systems in Switzerland invites a Senior Delivery Manager to lead AI-native delivery for pharmaceutical clients. You will own scope, schedule, budget, quality, risk and margin across multiple engagements, embedding AI and data practices across the lifecycle.

You will build distributed teams, govern governance forums with senior stakeholders, ensure compliance with GxP and data integrity, and shape pricing and delivery models in line with AI-driven productivity.

Qualifications

  • Experience delivering data, cloud and AI/ML solutions.
  • Knowledge of CSV/CSA and data integrity in validated environments.
  • GxP-regulated delivery experience in pharma or life sciences.

Responsibilities

  • Own scope, schedule, budget, quality, risk and margin across engagements.
  • Run AI-embedded delivery across the software lifecycle and governance.
  • Lead multi-disciplinary teams across EPAM’s centers in Europe and beyond.
  • Surface regulatory impacts early (21 CFR Part 11, EU Annex 11, GDPR).

Skills

Delivery management
AI/ML delivery
Agile at scale
Stakeholder management
GxP compliance
Executive presence
Team leadership
Budget and risk control

Education

PMP
PgMP
SAFe certification
ISPE/GAMP credentials

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 Switzerland 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.ResponsibilitiesOwn scope, schedule, budget, quality, risk and margin across a portfolio of engagements or a multi-workstream programmeKeep delivery health, risks and forecasts current in EPAM’s delivery systems, escalating early and recovering quicklyManage contracts and change control for fixed-price, milestone-based and time-and-materials work, protecting margin and avoiding commitments the team cannot keepRun delivery with AI embedded across the software development lifecycle and in delivery management, tracking the measured effect on productivity and qualityTake generative AI and agentic solutions from proof of concept into validated production, with human oversight, evaluation and monitoring designed inWork with Sales and Pursuit to shape pricing and delivery models that reflect AI-driven productivity, not effort-based billing aloneApply GxP, computerised system validation and data-integrity principles in planning, building, testing and documenting, partnering with client QA and validation functionsUnderstand regulatory requirements (such as 21 CFR Part 11, EU Annex 11, GDPR, EU AI Act) and surface their delivery implications earlyBuild and sustain relationships with client IT, business and quality leaders, running governance, steering committees and executive reportingBuild and lead distributed, multi-disciplinary teams across EPAM’s European and global delivery centres, developing delivery managers and team leadsRequirementsTen or more years in IT delivery management, including significant experience in pharma, biotech or another life sciences setting, with GxP-regulated delivery experienceTrack record of running large or multi-stream programmes, or a portfolio of engagements, to plan and to budget, including fixed-price or milestone-based deliveryHands-on experience delivering data, cloud and AI/ML solutions, with a clear, practical view of how AI changes delivery economics, team shape and riskWorking knowledge of validated-system practices (CSV/CSA, GAMP 5) and data integrity, with ability to hold a credible conversation with client QAStrong grounding in modern delivery practice: Agile at scale, DevOps, API-driven integration and metrics-based governanceExecutive presence, confident leading steering committees, negotiating scope and delivering difficult messages to senior client stakeholdersProven people leadership across distributed teamsFluent English; German or French is an advantageNice to haveExperience in R&D, clinical, regulatory, pharmacovigilance, commercial or manufacturing/quality domainsExperience at a life sciences client, consultancy or global IT services provider, with PMP, PgMP, SAFe or ISPE/GAMP credentialsAn existing network among European pharma and technology partnersWe offer5 weeks of vacationEPAM Employee Stock Purchase Plan (ESPP)Enhanced parental leaveExtended pension planDaily sickness allowance insuranceEmployee assistance programGlobal business travel medical and accident insuranceLearning and development opportunities including in-house training and coaching, professional certifications, and courses• Please note that any offers will be subject to appropriate background checks• We do not accept CVs from recruiting or staffing agencies• For this position, we are able to consider applications from the following:- Swiss nationals- EU/EFTA nationals- Third-country nationals based in Switzerland with an appropriate work permit- Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits
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