Lab Automation & Logistics Delivery Lead
Novartis
Summary
As a Delivery Lead for Lab Automation & Logistics in Data & Digital (D&D), you will drive the delivery and adoption of cutting-edge automation, orchestration, and AI-enabled solutions across laboratory operations and sample logistics in Biomedical Research. You will play a pivotal role in transforming how scientific workflows are executed enabling scalable, efficient, and data-driven lab environments that accelerate research outcomes.
Job description
Job Description Summary
As a Delivery Lead for Lab Automation & Logistics in Data & Digital (D&D), you will drive the delivery and adoption of cutting-edge automation, orchestration, and AI-enabled solutions across laboratory operations and sample logistics in Biomedical Research. You will play a pivotal role in transforming how scientific workflows are executed enabling scalable, efficient, and data-driven lab environments that accelerate research outcomes.
Scope of Responsibility
The role operates across the following capability areas:
- Lab device and system integration
- Workflow orchestration across systems and teams
- Automation (RPA, event-driven workflows)
- AI solutions for operational processes
- Sample ordering, production, and logistics workflows
- Compliance-enabled workflow design and execution
Key responsibilities
- Lead end-to-end delivery of lab automation and workflow orchestration initiatives, driving scalable and efficient lab and logistics processes across Biomedical Research
- Ensure delivery excellence by managing scope, timelines, and budget while leading cross-functional matrix teams and aligning across stakeholders and D&D functions
- Drive workflow automation by identifying inefficiencies and translating business processes into scalable, reusable automation solutions (RPA, orchestration, AI)
- Own stakeholder engagement by acting as the primary interface, building strong relationships, aligning priorities, and communicating progress, risks, and outcomes clearly
- Guarantee compliance and standards by ensuring solutions meet architectural, security, and regulatory requirements, and align with enterprise platforms and data integrity needs
Essential Requirements
- Masters or PhD degree in a scientific/technology/computational science/data science area
- 10+ years of relevant experience in a multidisciplinary environment across the Pharma continuum
- Proven ability to deliver complex initiatives end-to-end, consistently achieving high-quality outcomes on time and within budget across lab, data, or digital domains
- Strong project management expertise, including prioritization, planning, execution, communication, and risk management, with the ability to manage dependencies across multiple teams and systems
- Demonstrated experience leading cross-functional matrix teams, with the ability to effectively coordinate diverse stakeholders and drive aligned execution
- Excellent stakeholder management and communication skills, with the ability to act as a trusted delivery partner across business and technical audiences
- Solid domain and digital expertise, including understanding of lab operations and scientific systems, and hands-on knowledge of workflow automation, RPA, and AI-enabled solutions
- Strong systems thinking and automation mindset, with the ability to identify optimization opportunities and apply appropriate approaches (workflow orchestration, RPA, AI) to deliver scalable solutions
Desirable Requirements
- Experience applying modern delivery practices (e.g., agile, experimentation, product-centric delivery models)
- Agentic AI experience
- Ability to translate ambiguous operational challenges into structured, deliverable initiatives
- Proven ability to drive innovation, continuous improvement, and high-performance delivery behaviors in complex environments
- Curious, self-motivated, and continuous learner
- Collaborative and delivery-oriented mindset
Requirements
- Masters or PhD degree in a scientific/technology/computational science/data science area
- 10+ years of relevant experience in a multidisciplinary environment across the Pharma continuum
- Proven ability to deliver complex initiatives end-to-end across lab, data, or digital domains
- Strong project management expertise including prioritization, planning, execution, communication, and risk management
- Demonstrated experience leading cross-functional matrix teams
- Excellent stakeholder management and communication skills
- Understanding of lab operations and scientific systems
- Hands-on knowledge of workflow automation, RPA, and AI-enabled solutions
- Strong systems thinking and automation mindset
Benefits
- Health, Life & Disability Benefits
- 401(k) with Company Match
- Vacation & Personal Days
- Holidays
- Performance-Based Cash Incentive
- Annual Equity Awards
Company overview
Novartis is a global pharmaceutical company headquartered in Basel, Switzerland, dedicated to reimagining medicine to improve and extend people's lives. As an innovative medicines company, Novartis focuses on developing high-value treatments that address society's greatest disease burdens through technology leadership in research and development. The company operates across five core therapeutic areas: cardiovascular, renal and metabolic diseases; immunology; neuroscience; oncology; and hematology. With a workforce of approximately 75,883 employees worldwide, Novartis reaches nearly 300 million patients across 118 countries. The company leverages advanced technology platforms including targeted protein degradation, cell therapy, gene therapy, radioligand therapy, and xRNA to develop breakthrough treatments. Novartis maintains a strong portfolio of oncology drugs and generics while continuously expanding its pipeline through strategic acquisitions and internal research. The company's commitment extends beyond drug development to ensuring global access to medical innovations through novel access approaches and patient assistance programs.