Head of Data Engineering & Factory
$176,400–$327,600 year
Hybrid · Cambridge, Massachusetts, United States
Job Summary
Head of Data Engineering & Factory leads the Data Product Factory vision and roadmap, industrializes scalable data product engineering for AI-ready data products across Biomedical Research, and drives modernization through automation, CI/CD, governance, and metadata frameworks. The role oversees end-to-end data product lifecycle, builds high-performing engineering teams, partners with domain/platform leaders, and requires extensive senior leadership collaboration, 10+ years in data/engineering, and a track record of building scalable enterprise data platforms and AI-enabled data products.
Required Qualifications
- Over 10 years of experience in software engineering, platform architecture, or enterprise data infrastructure
- Proven track record building and scaling enterprise data platforms or productized data systems
- Strong experience leading engineering teams within complex, matrixed organizational environments
- Deep expertise in continuous integration, continuous deployment, and automated testing practices in production environments
- Demonstrated experience embedding governance, access control, lineage, and compliance within engineering workflows
- Experience enabling artificial intelligence use cases through well-designed data products, interfaces, and metadata frameworks
- Strong ability to apply automation and artificial intelligence to improve engineering productivity and operational efficiency
- Excellent communication and stakeholder management skills with proven experience influencing senior leadership
- Desirable: Experience designing agent-compatible interfaces, metadata frameworks, and retrieval-augmented data access patterns
- Proven success mentoring multidisciplinary engineering teams across platform, data, quality, and AI domains
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