L3Harris is seeking to design, govern, and steward the company's enterprise data ontology and semantic models to enable interoperability, scalability, and clarity across the organization.
Requirements
- 10 years of experience in data architecture, data management, or related fields, including 5+ years in a leadership role.
- 5+ years experience with Palantir Foundry.
- Understanding of ERP and operational data structures (Oracle EBS, SAP ECC/S4, Costpoint, etc.).
- Exposure to AI/ML initiatives and how ontologies enable advanced analytics.
- Experience with data governance standards
- Experience with semantic models and data ontology
- Experience with data architecture standards
Responsibilities
- Lead and grow the Data Architecture & Strategy team, driving a culture of accountability, innovation, and excellence.
- Own the enterprise ontology framework, ensuring consistent business definitions, semantic alignment, and compliance with governance standards.
- Oversee Palantir platform management, including security and access controls, user onboarding and support, monitoring of platform resource allocation, and intake of new use cases.
- Collaborate with business and IT leaders to translate business needs into ontology frameworks, enabling analytics, AI/ML, and operational use cases.
- Ensure metadata, lineage, and documentation are accurate, accessible, and adopted across the enterprise.
- Partner with governance and engineering teams to ensure definitions, lineage, and metadata are documented, accessible, and adopted across the enterprise.
- Communicate architecture strategy and ontology standards to technical and non-technical audiences, ensuring broad understanding and adoption.
Other
- Bachelor’s Degree in Computer Science, Information Systems, Data Management and minimum 12 years of prior relevant experience.
- Graduate Degree and a minimum of 10 years of prior related experience.
- In lieu of a degree, minimum of 16 years of prior related experience.
- Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into business value.
- Demonstrated success in leading cross-functional teams and delivering enterprise-wide data architecture strategies.
