Lead data engineering teams to design and deliver reusable data pipelines and architectures across businesses. Set governance, coding standards, and AI-assisted workflow controls; influence stakeholders, manage resources, hire and develop talent, and ensure secure, auditable, and resilient solutions.
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
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.
JPMorganChase London, England Office
25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP
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