LOG IN
SIGN UP
Canary Wharfian - Online Investment Banking & Finance Community.
Sign In
or continue with e-mail and password
Forgot password?
Don't have an account?
Create an account
or continue with e-mail and password
By signing up, you agree to our Terms & Conditions and Privacy Policy.

Data Strategy and AI Solutions - Vice President

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 4 days ago

No clicks

**Data Strategy Vice President - AI Solutions** Drive enterprise data and AI strategy in New York. Define stakeholder needs, collaborate cross-functionally, and guide engineering teams. Transform data strategy into clear business plans, ensure AI outputs' accuracy, and champion a strong data culture. Leverage 6+ years of finance, data, or tech experience; familiarity with AI tools; and superior communication skills.

Compensation
Not specified

Currency: Not specified

City
New York City
Country
United States

Full Job Description

Location: New York, NY, United States


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. 

  • Drive data and AI strategy, shaping innovation across a leading global financial institution

    Data Strategy and AI Solutions - Vice President

    Compensation

    Not specified

    City: New York City

    Country: United States

    J.P. Morgan logo
    Bulge Bracket Investment Banks

    4 days ago

    No clicks

    at J.P. Morgan

    ExperiencedNo visa sponsorship

    **Data Strategy Vice President - AI Solutions** Drive enterprise data and AI strategy in New York. Define stakeholder needs, collaborate cross-functionally, and guide engineering teams. Transform data strategy into clear business plans, ensure AI outputs' accuracy, and champion a strong data culture. Leverage 6+ years of finance, data, or tech experience; familiarity with AI tools; and superior communication skills.

    Full Job Description

    Location: New York, NY, United States


    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. 

  • Drive data and AI strategy, shaping innovation across a leading global financial institution