At a Glance
- Tasks: Lead the vision for Chase's Data & AI Platform and drive innovative digital experiences.
- Company: Join a leading financial institution focused on cutting-edge technology and data solutions.
- Benefits: Attractive salary, comprehensive health benefits, flexible work options, and growth opportunities.
- Other info: Be part of a culture that values inclusion, accountability, and continuous improvement.
- Why this job: Shape the future of data and AI while making a real impact in a dynamic environment.
- Qualifications: Strong problem-solving skills, experience with cloud technologies, and leadership capabilities.
The predicted salary is between 80000 - 100000 £ per year.
Responsibilities
- Set the vision and multi-year strategy for the Data & AI Platform that powers Chase's next-generation digital experiences, translating enterprise priorities into an executable roadmap and measurable outcomes.
- Lead and scale a multi-discipline organization spanning data platform engineering and AI/MLOps, establishing clear ownership, org structure, operating rhythms, and standards for delivery.
- Own the platform's end-to-end data foundation–ingestion, transformation, orchestration, metadata/catalog, quality, and governed data products‑built for reliability, scalability, and self‑service adoption.
- Serve as the executive steward for compliant use of customer data, ensuring privacy, access controls, lineage, retention, and auditability are embedded by design and aligned to firm risk and regulatory expectations.
- Define and deliver platform enablement for LLM‑powered applications, including reference architectures, developer tooling, model onboarding and deployment patterns, evaluation and testing, observability, and cost/latency guardrails.
- Establish engineering excellence and operational maturity through SLOs, resiliency practices, incident management, release governance, capacity planning, and continuous improvement across the platform.
- Drive a product‑oriented platform model by partnering with product, security, legal, risk, architecture, and engineering leaders to prioritize the highest‑leverage capabilities and accelerate adoption across teams.
- Enable data‑driven product development at scale through trusted analytics pipelines, standardized telemetry, experimentation support, and consistent metrics to inform decisions and improve customer outcomes.
- Attract, develop, and retain top talent by building leadership depth, setting high standards, coaching managers and senior engineers, and fostering a culture of ownership, inclusion, and accountability.
Qualifications
- Being a problem solver: independently analyze a problem and come up with options to solve it.
- Flexibility regarding tools and languages: open to debugging permission issues in a Python service and debugging Java/Kotlin out‑of‑memory issues, with team support.
- Knowledge of data structures.
- Experience with either Kubernetes or Docker.
- Experience with cloud technologies (AWS, Azure, GCP), distributed systems, web technologies, and event‑driven architectures.
- Experience in leading people.
Preferred Qualifications, Capabilities, and Skills
- Experience with message brokers (Kafka, RabbitMQ, Pulsar, etc.).
- Experience with Kafka Connect.
- Preferably experience in setting up data platforms, setting standards—not just pipelines.
- Preferably experience in a distributed data processing environment/framework (e.g., Spark or Flink).
- Familiarity with advanced AI/ML concepts and protocols, such as Retrieval‑Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP).
- Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, Kubeflow).
- Experience with deploying to a GenAI platform a production system: Google VertexAI, OpenAI, AWS Bedrock, LangChain, etc.
Principal Software Engineer - Engineering Manager - Data and AI Platform in City of Westminster employer: Jpmorgan Chase & Co.
As a Principal Software Engineer - Engineering Manager at Chase, you will be part of a forward-thinking team that is dedicated to shaping the future of digital experiences through innovative data and AI solutions. Our inclusive work culture fosters collaboration and continuous learning, providing ample opportunities for professional growth while ensuring a strong focus on employee well-being and work-life balance. Located in a vibrant city, we offer competitive benefits and a dynamic environment where your contributions directly impact our mission to deliver exceptional customer outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Software Engineer - Engineering Manager - Data and AI Platform in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data platforms and AI. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repo or a personal website, we want to see what you've built. Highlight your experience with cloud technologies and MLOps tools to stand out from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Principal Software Engineer - Engineering Manager - Data and AI Platform in City of Westminster
Some tips for your application 🫡
Show Your Vision:When you write your application, make sure to highlight your vision for the Data & AI Platform. We want to see how you can translate big ideas into actionable plans that align with our goals.
Be Specific About Your Experience:Don’t just list your skills; give us examples of how you've used them in real-world scenarios. Whether it’s leading a team or working with cloud technologies, we love seeing concrete achievements.
Tailor Your Application:Make your application stand out by tailoring it to the job description. Use the same language and keywords we’ve included to show that you understand what we’re looking for.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Kubernetes, Docker, and cloud platforms. Brush up on your knowledge of data structures and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Leadership Skills
As a Principal Software Engineer and Engineering Manager, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've attracted, developed, and retained talent, and how you've fostered a culture of accountability and inclusion.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills. Think of specific challenges you've encountered in your previous roles and how you approached them. Be ready to discuss your thought process and the options you considered.
✨Align with Company Values
Research the company’s mission and values, especially around data privacy and compliance. Be prepared to discuss how you would ensure that customer data is handled responsibly and in line with regulatory expectations, showcasing your understanding of risk management.
