What are the responsibilities and job description for the Data Strategy and AI Solutions - Vice President position at JPMorgan Chase?
The Chief Data and Analytics Office is responsible for accelerating the firm's data and analytics journey. Our team ensures the quality, integrity, and security of enterprise data while leveraging it to generate insights and drive smarter decision-making. We are at the forefront of shaping how artificial intelligence and data products are governed, built, and scaled across a complex global organization. Join us and help define the data and AI agenda for one of the world's largest financial institutions.
As a Data Strategy and AI Solutions Vice President in the Chief Data and Analytics Office, you will drive the strategic direction of data and artificial intelligence initiatives across the organization. You will partner with stakeholders in compliance, legal, government relations, technology, and cybersecurity to navigate the evolving landscape for data and AI. Your work will directly shape AI and Agent Native data strategy. This is an opportunity to influence enterprise-wide strategy at the intersection of data and AI, with significant visibility across senior leadership.
Job responsibilities:
- Define and document stakeholder requirements for data and artificial intelligence strategy, translating business needs into actionable plans.
- Partner with compliance, legal, government relations, technology, and cybersecurity teams.
- Develop business and product requirements for engineering teams, ensuring clarity and alignment with strategic objectives. Ensure software built meets those requirements.
- Test LLM and agent outputs for accuracy.
- Design LLM and agent “as judge” tests for outputs.
- Work with LLMs and agents to create data artifacts.
- Promote and strengthen awareness of data culture and best practices across the organization.
Required qualifications, capabilities, and skills:
- Bachelor's degree in Finance, Data Science, Technology, or a related field.
- 6 years of experience in finance, operations, data, or technology within a leading financial institution or similarly complex organization.
- Demonstrated experience working with artificial intelligence tools, frameworks, and initiatives in a professional setting.
- Clear and concise written and verbal communication skills, with the ability to tailor messaging to various levels of management.
- Proven ability to collaborate across multiple lines of business and functions in a matrixed environment.
- Strong analytical and problem-solving skills with the ability to synthesize complex information into strategic recommendations.
- Excellent time management and organizational skills, with the ability to manage competing priorities.
- Advanced proficiency in Excel and PowerPoint for data analysis and executive presentations.
- Strong interpersonal and relationship-building skills, with the flexibility to engage across functions, locations, and businesses.
- Familiarity with agile project management tools such as Jira.
- Experience with modern AI tooling and LLMs.
Preferred qualifications, capabilities, and skills
- Experience testing AI outputs for accuracy.
- Experience translating technical AI or data science concepts for non-technical business audiences.
- Familiar with semantics and the creation of semantic layers for data.
- Familiar with industry data vocabularies, such as DCAT.
- Comfortable giving live presentations in multiple forums.
- Experience training new users on functionality and creating written guidelines.