Director of Data Engineering

Description

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

As a Director of Data Engineering at JPMorgan

Chase within the Macro space youlead 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

Required Experience:

Director