Principal Technical Program Manager - Data Engineering

JPMorgan Chase & Co.
London
1 week ago
Applications closed

Related Jobs

View all jobs

Principal Technical Program Manager - Data Engineering

Principal Technical Program Manager - Data Engineering

Principal Data Engineer

Principal Data Scientist

Principal Data Engineer

Wastewater Modeller

As Head of Technical Programs and Data Infrastructure Engineering Strategy in CDAO Data Platforms, you will lead complex, multi-functional technology projects and programs that will impact experiences for multiple groups across the firm, including clients, employees, and stakeholders. Your advanced analytical reasoning and adaptability skills will enable you to break down business, technical, and operational objectives into manageable tasks, while navigating through ambiguity and driving change. With demonstrated technical fluency, you will effectively manage resources, budgets, and cross-functional teams to deliver innovative solutions that align with the firm's strategic goals. Your exceptional communication and influencing abilities will foster productive relationships with stakeholders, ensuring alignment and effective risk management. In this pivotal role, you will contribute to the development of new policies and processes, shaping the future of our technology landscape.

Elevate your career by steering multi-faceted tech programs, integrating innovative solutions for a dynamic impact across global operations.

Job responsibilities

Develop and implement strategic technical program plans, aligning with organizational goals and cross-functional collaboration Oversee complex technology project and program execution, managing resources, budgets, and timelines while mitigating risks and addressing roadblocks Foster strong relationships with stakeholders, clients, and cross-functional teams, providing direction and defining decision-making procedures for beneficial outcomes Guide the selection and implementation of appropriate technologies, platforms and software tools leveraging advanced technical fluency Champion continuous improvement by identifying process optimization opportunities, incorporating best practices, and staying abreast of emerging technologies Drive the strategy for Data Infrastructure Engineering which includes integration with our key SaaS partners Lead the execution of critical data initiatives focused on enabling access to data, data governance, and entitlements, as well as building key data infrastructure using SaaS platforms and AWS. Partner with the product organization to drive business outcomes, ensuring that technical programs are aligned with strategic business goals. Prepare and deliver comprehensive reports and presentations to senior leadership, including the Operating Committee, to communicate program status, risks, and achievements.

Required qualifications, capabilities, and skills

Significant experience or equivalent expertise in technical program management, leading complex technology projects and programs in large organizations Demonstrated proficiency in technical solutions, vendor product knowledge, managing vendor relations, and implementing solutions Advanced analytical reasoning skills, applying critical thinking and problem-solving techniques to break down business, technical, and operational objectives Proven ability in leading through change, managing dependencies, and controlling change in high-pressure, shifting environments Advanced expertise in stakeholder management, establishing productive relationships, and driving beneficial outcomes aligned with firm objectives

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.