Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Global Director of Software and Data Engineering, Enterprise Data Office

Capital Group
London
5 days ago
Create job alert

“I can succeed as the Global Director of Software and Data Engineering, Enterprise Data Office”

As the Global Director of Software and Data Engineering, Enterprise Data Office (EDO), you will be at the helm of transforming how Capital Group leverages data to launch new products and investment strategies to the market and drive strategic growth. You will inspire and lead high-performing engineering teams to build innovative, scalable, and resilient software and data solutions that empower our global Operating Groups, including Investment Operations, ITG, and Global Finance, and the many stakeholders in the Investment Group and Client Groups they serve. You will lead in areas that are critical to Capital Group’s market success, including product data management, client-facing data, and marketing/publishing data automation.

This role is a unique opportunity to shape the future of both software and data engineering at Capital Group—where creativity meets strategy, and fun is part of the journey. You will partner with senior leaders across the enterprise to align technology investments with business priorities, champion a culture of engineering excellence, and foster an environment where diverse perspectives and continuous learning thrive.

“I am the person Capital Group is looking for”

You are a visionary leader who will inspire a team of 100+ associates and contractors to innovate and deliver with purpose.

You have a proven track record of leading large-scale engineering organizations, complex initiatives that require transformational change, and developing future leaders.

You foster a culture of inclusion, collaboration, and continuous improvement, instilling engineering rigor and discipline in your teams.

You are a strategic thinker who connects the dots between strategic business outcomes and data and technology solutions.

You demonstrate clear vision and experience in delivering user experiences and apps that delight end users and make data accessible in compelling and dynamic manners.

You lead with empathy and empower teams to take ownership and drive results.

You are passionate about modern engineering practices, AI and data-driven decision making in fast paced organizations.

You are a demonstrated leader, preferably with deep experience in Asset Management, with expertise in product data and analytics, Investment Operations and market-facing demands.

You are a strong communicator who builds trust and alignment across diverse stakeholder groups, employing strong relationship management and influence.

You thrive in a dynamic environment and are energized by solving the most complex challenges facing the Buy Side Asset Management industry.

You present plans clearly to executives, including the EDO Leadership team, linking them to broader strategies and promoting partnership.

You are excited to shape the future of EDO’s structure, processes and operating model in a way that provides clarity and reinforces accountability.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

15+ years of experience in software and data engineering or AI/data science, with at least 5 years in senior leadership roles.

Demonstrated success in leading global, cross-functional engineering teams.

Deep expertise in modern data and software engineering platforms and practices (e.g., cloud-native architectures, modern application design, CI/CD, DevOps, data mesh).

Experience driving enterprise-wide technology transformations and delivering measurable business impact.

Strong expertise in the Financial Services and Asset Management industries and ability to influence at all levels of the organization.

Commitment to developing talent and building high-performing, diverse teams.

Experience with platforms and tools such as AWS, Azure, Python, Spark, Airflow, Kubernetes, DBT, Databricks, and modern front-end frameworks.

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

‎ 

 ‎ 

 ‎

 ‎

Related Jobs

View all jobs

Data Engineering Manager

Associate Director, Data Science and Innovation (London)

Associate Director, Data Science

Director Machine Learning & AI

Engineering Manager, Machine Learning Platform (London)

Lead Machine Learning Engineer, Associate Director 1

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.