Grade Level (for internal use):
12The Role: Lead Knowledge Engineer
The Team:
The Knowledge Engineering team within Distribution & Data Platforms helps to lead fundamental organizational and operational change driving our linked data, open data, and data governance strategy, both internally and externally. The team partners closely with data and software engineering to envision and build the next generation of data architecture and tooling with modern technologies.
The Impact:
Knowledge Engineering efforts occur within the broader context of major strategic initiatives to extend market leadership and build next-generation data, insights and analytics products that are powered by our world class datasets.
What’s in it for you:
The Lead Knowledge Engineer role is an chance to work as an individual contributor in creatively solving complex challenges alongside visionary leadership and colleagues. It’s a role with highly visible initiatives and outsized impact. The wider division has a great culture of innovation, collaboration,
and flexibility with a focus on delivery. Every person is respected and encouraged to be their authentic self.
Responsibilities:
• Develop, implement, and continue to enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts for interconnected data, as well as topical/indexed query, search, and asset discovery
• Design and prototype data / software engineering solutions enabling to scale the construction, maintenance and consumption of semantic artefacts and interconnected data layer for various application contexts
• Provide thought leadership for strategic projects ensuring timelines are feasible, work is effectively prioritized, and deliverables met
• Influence the strategic semantic vision, roadmap, and next-generation architecture
• Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains