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JPMorganChase

Director of AI for Data

Reposted 10 Days Ago
Be an Early Applicant
Hybrid
London, England
Expert/Leader
Hybrid
London, England
Expert/Leader
Lead efforts to leverage AI for data management challenges, collaborating with engineers and scientists to enhance data governance and strategy.
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Job Description
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is tasked with accelerating the firm's data and analytics journey, ensuring data quality, integrity, and security, and leveraging it to promote decision-making. The CDAO harnesses artificial intelligence and machine learning technologies to support the firm's commercial goals, develop new products, and enhance risk management. The Strategy and Execution team defines and executes the vision and strategy. The Firmwide Chief Data Office (CDO) maximizes the value and impact of data globally, with teams focused on data strategy, impact optimization, privacy, governance, transformation, and talent.
As a Director of AI for Data within the Chief Data & Analytics Office (CDAO), you will lead and prioritize efforts to utilize AI for data governance and in support of key data strategy enablers. You will bring a product mindset to collaborating with engineers, applied AI scientists, and researchers to enable the Firmwide Data Strategy through AI capabilities that make data management at massive scale possible.
Job responsibilities:
  • Design and develop solutions leveraging AI capabilities for data management challenges
  • Lead prioritization of research areas supporting data management and governance
  • Collaborate with our lines of business and corporate functions to identify co-development solutions focused on data management challenges

Required qualifications, capabilities, and skills:
  • Formal training or certification on data and AI/ML concepts and expert applied experience.
  • Extensive experience as either a product manager, product designer, engineer, data analyst, data scientist, or AI researcher
  • Demonstrated ability to figure out solutions to hard problems with many constraints, using sound judgement to assess risks, and to lay out your argument in a well-structured, data-informed, written narrative
  • Proven ability to engage with engineers, designers, and company leaders in a constructive and collaborative relationship

Preferred qualifications, capabilities, and skills:
  • Experience with formal methods, formal verification a plus
  • Experience with knowledge graphs and graph theory a plus
  • Experience with data management a plus

About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
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.

Top Skills

AI
Data Governance
Data Management
Graph Theory
Knowledge Graphs
Machine Learning

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