Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Global Director of Software and Data Engineering, Enterprise Data Office

eFinancialCareers
Greater London
3 weeks ago
Create job alert

Global Director of Software and Data Engineering, Enterprise Data Office"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,plex 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 oues 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 inpelling 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 strongmunicator 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 mostplex 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 inputer 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 (, 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. Experience with platforms and tools such as AWS, Azure, Python, Spark, Airflow, Kubernetes, DBT, Databricks, and modern front-end frameworks.
In addition to a highlypetitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about ourpensation and benefits here.

* Temporary positions in Canada and the United States are excluded from the above mentionedpensation and benefit plans.

We are an equal opportunity employer, which means weply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law. Job ID JR5500

Related Jobs

View all jobs

Global Director of Software and Data Engineering, Enterprise Data Office

Staff Data Scientist, Associate Director

Staff Data Scientist, Associate Director

Data Strategy & Management Consultants (Senior Manager/Director, Financial Services)

Senior Data Engineer

Head of Data Engineering and Informatics

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.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly become one of the most influential disciplines of the digital age. Once a niche combination of statistics and computing, it is now central to how organisations innovate, compete, and grow. From healthcare and finance to retail, logistics, and government, data science is reshaping decision-making across every sector. In the UK, data science has grown into a core career pathway. Salaries are competitive, demand continues to rise, and roles now extend far beyond analytics into artificial intelligence, machine learning, and predictive modelling. Yet as technologies evolve, many of the most important data science careers of the future don’t exist today. This article explores why entirely new roles will emerge, the kinds of careers that may appear, how existing jobs will evolve, why the UK is well placed to lead, and what professionals can do to prepare for this transformation.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.