Chief Data Analytics Architect

13 hours ago

Jersey City, New Jersey, United States JPMorganChase Full time

Job Summary:

JPMorgan Chase is seeking an exceptional Chief Data Analytics Architect to accelerate the adoption of advanced AI/ML technologies across the firm. As a key member of the AI/ML Solution Architecture Group, you will play a critical role in defining and implementing machine learning solutions that drive business value.

Responsibilities:

  • Stakeholder Engagement: Collaborate with business stakeholders to refine requirements, assist with framing business problems as machine learning problems, and help define success metrics.
  • Data Engineering: Define appropriate data engineering processes to facilitate data preparation and feature engineering.
  • Model Selection: Collaborate with data scientists and data and ML engineers in selecting and evaluating ML models and algorithms.
  • Compliance and Governance: Develop end-to-end AI/ML solutions in compliance with the firm's policies, standards, and AI/ML governance processes.
  • Technical Leadership: Provide technical leadership throughout the entire machine learning lifecycle, in collaboration with architecture, security, risk, operations, and other partner organizations.
  • Proof-of-Concepts: Design and lead proof-of-concepts, commercial product evaluations, and custom solutions.

Requirements:

  • Formal training or certification on software architecture and machine learning systems concepts and 10+ years applied experience.
  • Bachelor's degree or higher in computer science, data science, information systems, or electrical engineering.
  • Experience with core machine learning algorithms, deep neural networks, NLP, and LLMs/SLMs.
  • Advanced knowledge of software architecture and development for machine learning systems with hands-on experience throughout the entire machine learning lifecycle.
  • Deep understanding and hands-on experience with public cloud technologies, especially with AWS and its machine learning stack.
  • Working experience with big data, data lakes/data mesh/lake house architectures, and ML data engineering processes, tools, and techniques.

Preferred qualifications include experience with Azure OpenAI.

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