Head of Data Engineering – AI CoE

This is a fully remote position, open to applicants in United States, +2 more states.

📋 Description

• Take ownership of the Fabric data plane that encompasses certified data and semantics utilized by agents and BI applications.

• Ensure that certified data products incorporate semantic definitions, data contracts, policy and entitlement metadata, agent identity, lineage, observability, and certification tiers.

• Deploy agents responsible for generating metadata, resolving entities across domains, scoring quality, and classifying unstructured content.

• Manage certified, versioned data products and semantic models in collaboration with domain owners and stewards.

• Supervise the Asset Registry, lineage, and data-quality indicators.

• Develop foundational structures for lakehouse, vector, and graph retrieval to support grounded agent behavior.

• Oversee AI Data Engineers assigned to pods.

• Guide the design, development, and implementation of modular data models, data pipelines, and data management frameworks.

• Set data engineering priorities and steer the development of scalable data solutions.

• Establish standards and processes to ensure data reliability, efficiency, quality, compatibility, and accessibility.

• Provide both technical and organizational leadership for data platforms and tools that support analytics, data science, predictive and prescriptive modeling, and automation.

• Manage project execution, cross-functional collaboration, talent development, and the ongoing enhancement of data engineering capabilities.

⛳️ Requirements

• Bachelor’s or Master’s Degree or equivalent experience.

• Extensive knowledge of relevant functional areas.

• At least 10 years of experience in formally or informally leading people, projects, and/or programs.

• Proven track record in building enterprise data platforms that support production AI systems, beyond just analytics.

• Experience with semantic layers, ontologies, or large-scale knowledge representation.

• Deep understanding of modern lakehouse, vector, and graph technologies.

• Familiarity with Microsoft Fabric, Snowflake, or similar platforms within a multi-cloud environment.

• Experience managing data contracts, lineage, and certification models in a regulated or quality-focused industry.

• Exposure to life sciences or GxP is a significant advantage.

• A strong curiosity about AI, including its possibilities and challenges.

• Commitment to lifelong learning and purposeful toolkit innovation.

• Exceptional communication skills with the ability to influence.

• Capability to tailor communication from bench scientists to Board members.

• Preference for utilizing AI to automate curation instead of scaling through headcount.

🏝️ Benefits

• Eligibility for a bonus.

• Stock options.

• Comprehensive benefits package.

• Pay and benefit details by country are accessible through Agilent's location information.

• Commitment to equal employment opportunities and an inclusive workplace.

• Disability assistance available during the application or interview process.