Executive Director-Firmwide AI Data Strategy

Job Responsibilities

• Drive the development and adoption of the enterprise AI data strategy, aligning stakeholders across business lines and functions.
• Evaluate industry standards and semantic technologies for adoption across the organization, ensuring alignment with strategic objectives.
• Collaborate with stakeholders, subject matter experts, product owners, and engineers to understand use cases, requirements, and dependencies, critically assessing proposed solutions.
• Provide expert input into the enterprise data strategy, with a focus on knowledge representation, ontology design, and data readiness for AI.
• Communicate complex ideas effectively to collaborators and senior leaders using precise terminology and relatable examples, asking clarifying questions to define core meanings.
• Monitor emerging trends and advancements in ontology engineering, knowledge representation, and semantic technologies, translating insights into strategic recommendations.
• Balance timeliness with quality under tight deadlines, managing multiple priorities and cross-functional partnerships.
• Ensure end-to-end relevance to stakeholder needs, from gathering competency questions through to achieving successful integrations.

Required Qualifications, Capabilities, And Skills

• Master's in Artificial Intelligence, Computer Science, Information Science, Knowledge Representation, or a related field.
• 10 years of experience developing enterprise-wide data or AI strategy for large, complex organizations.
• Expertise in data and financial service standards such as ISO 20022, and semantic technologies including OWL, RDF, SKOS, and SHACL.
• Structured thinker and effective communicator with excellent written and verbal communication skills, with the ability to articulate complex technical concepts to senior audiences with poise and confidence.

Preferred Qualifications, Capabilities, And Skills

• Experience applying financial sector ontologies and data standards in production or enterprise environments.
• Experience with program management and collaborative development best practices in large-scale initiatives.
• Understanding of large-scale, distributed, end-to-end data systems and architectures.
• Knowledge of data governance and data management frameworks and their intersection with AI readiness.
• PhD in Artificial Intelligence, Computer Science, Information Science, Knowledge Representation, or a related field.

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.