JPMorgan Vice President – Data Publishing Lead 

United States, New York, New York 

258446383

Job Responsibilities:

• Participate in the development and adoption of ontologies to represent data standards in complex domains. Run proof of concepts and pilot programs to validate ontologies.
• Evaluate industry standard and internally defined ontologies for adoption across JPMC.
• Work closely with stakeholders, subject matter experts, product owners, and engineers to understand use cases, requirements and dependencies, critically assessing proposed solutions.
• Communicate complex ideas effectively to collaborators using precise terminology and relatable examples and ask clarifying questions to define core meanings.
• Communicate the concepts and accepted practices, standards and objective of ontologies to stakeholders.
• Keep abreast of emerging trends and advancements in data standards, ontology engineering, knowledge representation, and semantic technologies.
• Balance timeliness with quality under tight deadlines, managing multiple priorities and partners.
• Ensure end-to-end relevance to stakeholder needs from gathering competency questions to achieving successful integrations.

Required Qualifications, Capabilities, and Skills:

• 5+ years of experience in the financial services, data/technology or related industry and experience developing and managing ontologies for real-world applications..
• Advanced degree in business or technical/quantitative discipline.
• Structured thinker and effective communicator with excellent written communication skills. Ability to crisply articulate complex technical concepts to senior audiences with poise and confidence.
• Excellent stakeholder management and coordination skills.
• Ability to work in a highly collaborative and matrixes environment to build consensus.
• Deep domain expertise (knowledge of clients, products, services,) coupled with deep expertise in the data (applications systems, BI and AI applications) used to manage and execute strategy across multiple business units.
• Exceptional analytical, problem solving, communication and presentation skills.
• Strong knowledge of data mesh architecture, data product concepts, and semantic Web technologies.

Preferred Qualifications, Capabilities, and Skills:

• Strong understanding of AI/ML technologies and their application in data management/governance.
• Understanding of control and risk management concepts.
• Strong product management and project management skills.
• Demonstrated interest in emerging technology and data engineering trends in the financial services industry.
• Experience with data standards and ontologies for Data and Financial services.