Vice President – Data Publishing Lead

Job Description

The Firmwide Chief Data Office is responsible for maximizing the value and impact of data globally, in a highly governed way. It consists of several teams focused on accelerating JPMorgan Chase’s data, analytics, and AI journey, including data strategy, data impact optimization, privacy, data governance, transformation, and talent. We are looking for a team member to help support the strategy for how we make data available to power everything from new product development to Artificial Intelligence models. This role will join the team responsible for defining firmwide data publishing strategy and driving the adoption of the strategy across the firm.

As a Vice President – Data Publishing Lead, you will have the opportunity to heavily interact with our firmwide teams, lines of business, and corporate functions. This high-profile position will allow you to play an instrumental role in assisting senior management and executing our strategies. We value detail-oriented focus accompanying excellent written and oral communication skills. We are looking for someone with an understanding of data and analytics, or a related technical field.

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.