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Director of Data Engineering

JPMorganChase
1 day ago
Full-time
On-site
London, United Kingdom
Data Engineer
Description

You are poised to achieve extraordinary success and make a high impact on those around you. Partner with an organization comprised of the industry’s thought leaders and committed to advancing your leadership career. 
 

As a Director of Data Engineering at JPMorganChase within the Macro space you lead a data pipeline and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of data, analytics, applications, technical processes, and product management to lead multiple complex projects and initiatives, make key decisions for your team, and a drive innovation and solution delivery.
 

Job responsibilities

 

  • Leads data and process implementation teams to achieve functional technology objectives
  • Makes strategic decisions that influence teams’ resources, budget, tactical operations, and the implementation of processes and procedures
  • Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
  • Delivers data pipeline and architecture solutions that can be leveraged across multiple businesses
  • Influences peer leaders and senior stakeholders across the business, product, and data technology teams
  • Leads reuse-first adoption of enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/architecture decisioning and delivery, with human-in-the-loop validation and appropriate handling of sensitive data.
  • Establishes governance standards for AI-assisted workflows used in data engineering decision-making and delivery, ensuring traceability/auditability and alignment to resiliency, security, and control obligations.

 

Required qualifications, capabilities, and skills

  • Formal training or certification on data engineering concepts and advanced applied experience 
  • Experience developing and/or leading cross-functional teams of technologists
  • Demonstrated experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for data engineering workflows, including validation habits and awareness of data sensitivity.
  • Ability to evaluate AI-assisted recommendations before adoption and set review/approval expectations that align to resiliency, security, and auditability outcomes.
  • Experience hiring, developing, and recognizing talent
  • Experience leading a product as a Product Owner or Product Manager
  • Experience with KDB
     
 
 

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