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TetraScience · 3 months ago

Senior Technical Project Manager- Vienna, Austria

Cambridge, MA

Full-time

Onsite

Senior Level, Lead/Staff

10+ years exp

TetraScience is a Scientific Data and AI Cloud company that is leading the Scientific AI revolution. They are seeking a Technical Project Manager to drive a high-profile scientific data transformation program, ensuring delivery timelines are met and managing complex technical dependencies across various teams.

BiotechnologyData IntegrationData ManagementInternet of ThingsLife SciencePharmaceuticalSoftware

Growth Opportunities

No H1B

Responsibilities

Lead end-to-end delivery of a groundbreaking scientific data transformation program spanning 10+ workstreams across R&D

Drive daily stand-ups, ensuring full transparency on progress, blockers, and any potential timeline impacts or adjustments

Orchestrate cross-functional squads—including TetraScience Sciborgs, Engineering, and Product—to deliver integrated scientific use cases with measurable value

Establish KPIs and success metrics, tracking performance against commitments and ensuring accountability across delivery squads

Implement and maintain live dashboards and status updates using industry-standard tools to provide real-time visibility into project health, use case progress, and executive-level outcomes

Manage complex technical dependencies across cloud infrastructure, product development, data engineering pipelines, and AI model deployment, ensuring risks are identified and addressed proactively

Remove blockers within your control and escalate those outside your authority same-day to maintain delivery momentum

Embed discipline and urgency, balancing customer expectations with program commitments in an environment without a pre-existing playbook

Qualification

Agile MethodologiesBiopharma ExperienceProject ManagementCloud ComputingProject Management CertificationTechnical CommunicationInfluencing SkillsDashboard ReportingGxP Compliance KnowledgeCollaboration Skills

Required

10+ years of Project Management experience implementing complex technical solutions with 5 - 10+ concurrent workstreams

Experience delivering projects or programs within the biopharma industry

Measurable past performance of efficiently managing the delivery and support of multiple simultaneous workstreams across different teams

Proven project/program leadership experience in an Agile (with Kanban and Scrum) customer-facing deployment environment

Highly effective verbal and written communication skills; ability to explain technical information in non-technical language to drive progress

Experience in BI tools to setup live reporting dashboards

Demonstrated collaborative communication and influencing skills

Demonstrated ability to influence without authority

This is an on-site position; minimum expected 4-to-5 days per week onsite in Vienna, Austria

Preferred

7+ years of project or program management experience, with a proven record of delivering complex, multi-stakeholder technology programs on or ahead of time and within scope

Bachelor's degree or higher in Computer Science, Life Sciences, Business, or related field; or equivalent work experience

Formal project management training or certification (e.g., PMP, PMI-ACP, PRINCE2, or Certified Scrum Master) demonstrating mastery of methodologies and delivery discipline

Familiarity with scientific instrument ecosystems and the challenges of integrating diverse data sources into enterprise systems with the end goal of leveraging AI/ML for improved scientific outcomes

An understanding of how scientific data underpins AI/ML model training and deployment

Working knowledge of GxP compliance and related regulatory frameworks (e.g., GMP, GLP)

Ability to distill and communicate complex technical and scientific information to audiences ranging from delivery teams to VP- and C-level stakeholders

Demonstrated capability to effectively engage in customer-facing leadership conversations, influencing outcomes and maintaining alignment with strategic objectives

5+ years of experience with public cloud (AWS, GCP, or Azure) or enterprise software environments