What are the responsibilities and job description for the Data Ontology Engineer position at Cross River Bank?
Company Overview
Cross River is a leading financial technology company that powers the future of financial services. Our comprehensive suite of innovative and scalable embedded payments, cards, and lending products deliver financial services for millions of businesses and consumers around the globe.
We are on a mission to build the infrastructure that propels access, inclusion, and the democratization of financial services. Our strong sense of purpose has led us to be named to American Banker's list of Best Places to Work in Fintech for 6 consecutive years.
The Role
This role will develop, implement, and maintain enterprise ontologies in support of Cross River's Data Strategy. The Data Engineer II - Ontology Lead will work collaboratively across Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives with a focus on BSA/AML related processes.
Main Responsibilities
- Define Problem Statements: Develop clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models.
- Leverage Customer Insights: Use customer insights to influence priorities and roadmap development while advocating for alignment between stakeholders in the development of acceptance criteria.
- Owning the Ontology Roadmap: Own and prioritize the near-term Ontology roadmap for the Palantir implementation to deliver on business outcomes.
- Utilize Technology Vision: Understand and leverage technology and end-state architecture vision in partnership with Technology, Data Science, and other Cross River teams to support the development and integration of the ontology.
- Deliver Value: Create reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing.
Qualifications
- Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics, or computational linguistics.
- At least 4 years' experience or training in ontology and linked data tools (Palantir, Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World).
- At least 4 years' experience in a metadata field of work (ontology, taxonomy, semantics, or computational linguistics).
