Senior Project Manager

Altimetrik; København; On-site; DKK 3,238,000 - 64,767,000; Full time

Job summary

Altimetrik Poland is a digital enablement company delivering bite-size outcomes to enterprises and startups across industries, using an innovation-first approach to scale and accelerate business.

We seek a highly experienced Project Manager with 15+ years of delivering Data & AI initiatives in Life Sciences/Healthcare, leading end-to-end programs for pharma, biotech, CRO, and health-tech organizations—on time, within scope, and with measurable business impact.

Qualifications

• 15+ years of project management experience in Life Sciences or Healthcare.
• 5+ years leading Data & AI programs with budgets of $1M–$5M+.
• Proficient in Agile (Scrum/SAFe/Kanban) and Waterfall/hybrid delivery.
• Strong command of PMO governance, portfolio reporting, and governance tools.
• Experience with data platforms and AI lifecycles in pharma/biotech/CRO health IT.

Responsibilities

• Lead end-to-end Data & AI programs from initiation to transition to BAU.
• Define scope, milestones, and success criteria with sponsors and teams.
• Develop plans, RACI, risk registers, and communication plans.
• Govern steering committees, RAID logs, change control, and escalation.
• Manage budgets from $500K to $10M+; track actuals and cost efficiency.
• Coordinate multi-stream delivery of data platforms and AI initiatives.

Skills

Agile methodologies

Waterfall/hybrid methodologies

JIRA

Confluence

MS Project

Smartsheet

Azure DevOps

Stakeholder management

Tools

Databricks

Snowflake

AWS

Azure

GCP

Veeva Vault

Medidata Rave

Oracle Clinical

SAS

LIMS

Job description

Altimetrik Poland is a digital enablement company. We deliver bite-size outcomes to enterprises and start-ups from all industries in an agile way to help them scale and accelerate their businesses. We are unique in Poland's IT market. Our differentiators are an innovation-first approach, a strong focus on core development, and an ability to attack the challenging and complex problems of the biggest companies in the world.

We are looking for a highly experienced Project Manager with 15+ years of expertise in delivering complex Data & AI initiatives within the Life Sciences and Healthcare sector. The ideal candidate brings a rare combination of strong project governance, deep life science domain knowledge, and hands-on familiarity with data engineering, machine learning, and AI platforms. You will lead end-to-end delivery of data transformation and AI adoption programs for pharmaceutical, biotech, CRO, and health-tech organizations — on time, within scope, and with measurable business impact.

Project Planning & Governance

• Lead end-to-end project management of Data & AI programs — from initiation and discovery through delivery, hypercare, and transition to BAU.
• Define project scope, objectives, milestones, and success criteria in collaboration with business sponsors, data engineering, and AI teams.
• Develop comprehensive project plans, resource plans, RACI matrices, risk registers, and communication plans for multi-stream data initiatives.
• Establish and enforce project governance frameworks: steering committee cadence, RAID logs, change control processes, and escalation protocols.
• Manage project budgets from $500K to $10M+; track actuals vs. forecasts and deliver cost-efficiency initiatives.
• Drive delivery using hybrid methodologies — Agile (Scrum/Kanban) for data development sprints and Waterfall for regulatory and validation workstreams.

Data & AI Program Delivery

• Oversee delivery of data platform modernization programs: data lake/lakehouse migrations, cloud data warehouse implementations (Databricks, Snowflake, AWS, Azure), and data pipeline development.
• Manage AI/ML project lifecycles — from use case identification, data readiness assessment, model development, and validation through production deployment and monitoring.
• Coordinate delivery of Generative AI and LLM-based solutions for life science applications: regulatory document automation, clinical trial analytics, pharmacovigilance signal detection, and drug discovery support.
• Govern data migration programs including legacy system decommissioning, data cleansing, ETL pipeline build, and data reconciliation.
• Ensure traceability and auditability of all data and AI deliverables in line with GxP, 21 CFR Part 11, and CSV/CSA requirements.

Stakeholder Management & Communication

• Serve as the primary point of contact for C-suite sponsors, VP-level business owners, and external vendors across all project workstreams.
• Facilitate executive steering committee meetings, project working groups, and cross-functional workshops with pharma, biotech, and CRO stakeholders.
• Translate complex technical data and AI concepts into clear business language for non-technical senior leaders and regulatory audiences.
• Manage relationships with third-party technology vendors, system integrators, and cloud providers (AWS, Azure, GCP, Databricks, Snowflake).
• Prepare and present project status reports, executive dashboards, and milestone updates to internal and client leadership.

Risk, Quality & Change Management

• Proactively identify, assess, and mitigate project risks specific to data quality, AI model performance, regulatory compliance, and system integration.
• Lead change management activities to drive adoption of new data platforms and AI tools across clinical, regulatory, and commercial teams.
• Manage scope creep, competing priorities, and resource constraints across concurrent data and AI workstreams.
• Conduct post-project retrospectives, lessons learned sessions, and contribute to PMO best practices and delivery playbooks.
• Ensure all project deliverables meet quality standards through structured review, UAT coordination, and sign-off processes.
• Lead cross-functional delivery teams of 10–50+ members: data engineers, ML engineers, data scientists, business analysts, QA leads, and domain SMEs.
• Manage third-party vendor contracts, SLAs, and performance — including offshore/nearshore delivery teams.
• Coach and mentor junior project managers and business analysts; contribute to PMO capability development.
• Foster a collaborative, high-performance delivery culture aligned with agile and continuous improvement principles.

Project Management Expertise

• 15+ years of project management experience, with 5+ years leading Data & AI programs in Life Sciences or Healthcare.
• Proven track record delivering large-scale data platform, analytics, ML, and AI projects ($1M–$5M+ budgets, 12–36 month durations).
• Expert proficiency in Agile (Scrum, SAFe, Kanban) and Waterfall/hybrid methodologies; experienced in mixed-methodology program delivery.
• Strong command of project management tools: JIRA, Confluence, MS Project, Smartsheet, Azure DevOps, or equivalent.
• Experienced with PMO governance: portfolio reporting, resource management, dependency tracking, and benefits realization.

Life Sciences Domain Knowledge

• 15+ years of experience in pharma, biotech, CRO, medtech, or health IT — with deep understanding of drug development lifecycle.
• Hands‑on experience managing GxP‑regulated projects: CSV/CSA, IQ/OQ/PQ validation, audit trail requirements, and 21 CFR Part 11 compliance.
• Familiarity with life science platforms: Veeva Vault, Medidata Rave, Oracle Clinical, SAS, and laboratory information management systems (LIMS).

Data & AI Literacy

• Strong working knowledge of modern data architectures: data lakehouse, cloud data warehouse, ETL/ELT pipelines, and data mesh.
• Familiarity with key platforms: Databricks, Snowflake, AWS (S3, Glue, Redshift, SageMaker), Azure (Synapse, ADF, Azure ML), or GCP.
• Understanding of ML/AI lifecycle: data preparation, model development, validation, deployment, monitoring, and MLOps.
• Awareness of Generative AI, LLMs, and RAG pipelines — able to facilitate technical discussions and scope AI initiatives with engineering teams.

Leadership & Communication

• Exceptional stakeholder management skills — credible and confident with C-suite executives, regulatory bodies, and technical delivery teams.
• Strong written and verbal communication; ability to produce executive presentations, status reports, and regulatory documentation.
• Demonstrated experience leading globally distributed, cross-functional teams across time zones and cultures.
• Skilled negotiator and conflict resolver — able to align competing priorities across business, IT, and compliance functions.