Director, Automation, AI and Data Engineering
Director, Automation, AI and Data Engineering
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Job Description
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
Thermo Fisher Scientific Inc. is the world leader in serving science with annual revenue exceeding $40 billion. Our Mission is to enable our customers to make the world healthier cleaner and safer. Whether our customers are accelerating life sciences research solving complex analytical challenges improving patient diagnostics and therapies or increasing efficiency in their laboratories we are here to support them. Our team of more than 100000 colleagues delivers an unrivaled combination of innovative technologies purchasing convenience and pharmaceutical services through our industry-leading brands including Thermo Scientific Applied Biosystems Invitrogen Fisher Scientific Unity Lab Services Patheon and PPD. For more information please visit .
Were looking for a forward-thinking Director of AAD Engineering to lead and scale our efforts across AI Data and Automation. This is a strategic leadership role passionate about building impactful AI solutions growing our enterprise data capabilities and driving automationwhile elevating engineering standards and innovation across the board.
How will you make an impact:
Serve as a leader with a point of view in crafting the AAD engineering strategy and lead its execution through the design and delivery of scalable high-impact solutions across AI Data and Automation.
Lead the development of AI solutionsfrom experimentation to deploymentthat enhance automation improve decision-making and align with business priorities to deliver tangible value.
Enhance and scale existing data engineering capabilities to power robust reliable and well-governed pipelines and solutions enabling advanced analytics AI applications operational intelligence and enterprise-wide data utilization
Drive automation efforts by identifying and implementing solutions that optimize workflows reduce manual effort and improve reliability across engineering and business operations.
Engage effectively with internal customers translating complex business needs into scalable practical engineering solutionsand making it easier for teams to collaborate and drive shared outcomes.
Provide end-to-end ownership of engineering delivery from architectural design through development and deployment.
Act as a forward-looking technology leader introducing the latest engineering practices evaluating emerging tools and platforms and helping shape long-term technical direction.
Scale engineering excellence by driving adoption of clean architecture performance optimization system scalability and operational reliability across teams
Build and lead a strong engineering team with a focus on innovation collaboration and continuous learning. Encourage cross-skilling across AI Automation and Data Engineering to deliver end-to-end solutions as one unified AAD team
How will you get here:
Education
Bachelors degree in computer science or related field preferred
Experience:
Proven experience in leading IT engineering teams with a focus on AI Data and Automation.
Demonstrated ability to develop and implement high-impact AI solutions.
Strong expertise in data engineering and building reliable data pipelines.
Experience in driving automation initiatives to optimize workflows.
Ability to translate complex business needs into practical engineering solutions.
Strong leadership skills with the ability to foster cross-functional collaboration.
Experience in driving engineering best practices including clean architecture performance tuning scalability and operational excellence.
Passion for team development with a track record of mentoring coaching and building diverse high-performing and cross-skilled teams.
Required Experience:
Director
Employment Type
Full-Time
