Head of Data Engineering, AI CoE

Head of Data Engineering, AI CoE

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Agilent Technologies

At a Glance

  • Tasks: Lead the development of innovative data solutions and manage a dynamic team of AI Data Engineers.
  • Company: Join Agilent Technologies, a leader in data engineering and AI innovation.
  • Benefits: Enjoy competitive pay, bonuses, stock options, and comprehensive benefits.
  • Other info: Embrace a culture of curiosity and continuous learning in a supportive environment.
  • Why this job: Shape the future of AI and data engineering while making a real impact.
  • Qualifications: 10+ years of experience in data platforms and strong leadership skills required.

The predicted salary is between 63000 - 77000 £ per year.

Owns the Fabric data plane: the certified data and semantics every agent and BI use case depends on. The Agilent Intelligence Fabric is a single governed substrate serving both BI and agentic AI; one substrate, two consumption modes. This role makes the data side of that promise real, meaning every certified data product carries a semantic definition, a data contract, policy and entitlement metadata including agent identity, lineage and observability, and a certification tier. The role operates on a core conviction of the program: AI is the primary builder of the Fabric, not merely its consumer.

This leader deploys agents that generate metadata, resolve entities across domains, score quality, and classify unstructured content, so the data plane compounds in richness with every interaction rather than depending on manual annotation at enterprise scale. Responsible for Certified, versioned data products and semantic models, built in partnership with domain owners and stewards, with certification tiers that agents and BI consumers can both trust. The Asset Registry, lineage, and data-quality signals; the registry is the discoverable, versioned home for data products and semantic definitions. Lakehouse, vector, and graph retrieval foundations underpinning grounded agent behaviour. Agentic workloads that build the Fabric itself: metadata generation, entity resolution, quality scoring, and unstructured content classification.

Solid-line management of AI Data Engineers deployed into pods. Leads a team responsible for designing, developing, and implementing modular data models, data pipelines, and data management frameworks that enable the capture, integration, storage, and utilisation of structured and unstructured data from multiple sources. Applies in-depth understanding of business and technical requirements to define data engineering priorities, direct the development of scalable data solutions, and establish standards and processes that ensure data reliability, efficiency, quality, compatibility, and accessibility.

Provides technical and organisational leadership in the development of data platforms and tools that support analytics, data science, predictive and prescriptive modelling, and automation initiatives, while overseeing project execution, cross-functional collaboration, talent development, and continuous improvement of data engineering capabilities to meet evolving business and product requirements.

Qualifications

  • Bachelor’s or Master’s Degree or equivalent.
  • Plus, broad knowledge of functional area(s) of responsibility.
  • Minimum of 10 years' experience formally or informally leading people, projects and/or programs.
  • A track record building enterprise data platforms that serve production AI systems, not only analytics; experience with semantic layers, ontologies, or knowledge representation at scale.
  • Deep familiarity with the modern lakehouse, vector, and graph landscape; experience with Microsoft Fabric, Snowflake, or equivalent platforms in a multi-cloud estate.
  • Experience operating data contracts, lineage, and certification models in a regulated or quality-driven industry; life sciences or GxP exposure is a strong plus.
  • Curiosity about AI, its potential and its pitfalls.
  • Lifelong learners.
  • Excellent communication and the ability to influence.
  • The instinct to automate curation with AI rather than scale it with headcount.

Additional Details

This job has a full time weekly schedule. Applications for this job will be accepted until at least August 3, 2026 or until the job is no longer posted. The full-time equivalent pay range for this position is $171,600.00 - $321,750.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases.

Agilent Technologies, Inc., is committed to creating and maintaining an inclusive workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030.

Travel Required: 10% of the Time Shift: Day Duration: No End Date Job Function: Administration Summary Location: US-DE-Wilmington; US-CA-Santa Clara; Spain-Barcelona Type: Full time

Head of Data Engineering, AI CoE employer: Agilent Technologies

Agilent Technologies is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a focus on employee growth, you will have access to extensive development opportunities while working in a hybrid environment that promotes work-life balance. Join us in a role where your contributions will have a tangible impact on global change initiatives within a leading science company.

Agilent Technologies

Contact Details:

Agilent Technologies Recruitment Team

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We think you need these skills to ace Head of Data Engineering, AI CoE

Data Engineering
Metadata Generation
Entity Resolution
Quality Scoring
Unstructured Content Classification
Data Management Frameworks
Data Pipelines

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