At a Glance
- Tasks: Lead data engineering teams and drive innovative projects across departments.
- Company: Join JPMorgan Chase, a leader in the financial industry with a focus on technology.
- Benefits: Competitive salary, career advancement opportunities, and a dynamic work environment.
- Other info: Opportunity to shape the future of data solutions in a collaborative setting.
- Why this job: Make a significant impact while working with cutting-edge AI and data technologies.
- Qualifications: Experience in data engineering and leading cross-functional tech teams.
The predicted salary is between 100000 - 150000 £ per year.
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 JPMorgan Chase 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 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.
Director of Data Engineering in London employer: JPMorganChase
JPMorganChase is an exceptional employer, offering a dynamic work environment in Greater London where innovation thrives. With a strong commitment to diversity and inclusion, employees benefit from collaborative agile teams, extensive professional development opportunities, and the chance to work on cutting-edge technology products that shape the future of finance. Join us to be part of a culture that values your contributions and supports your growth.
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We think you need these skills to ace Director of Data Engineering in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at JPMorganChase, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at JPMorganChase
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
