National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Global Risk Senior Director Enterprise Security Architecture

Boston Consulting Group
London
8 months ago
Applications closed

Related Jobs

View all jobs

Associate Director of AI

Senior Data Analyst - Pricing Data Engineering & Automation, CUO Global Pricing

Senior Data Scientist • Credit Risk

Data Engineer (Senior)

Head of Data Science & AI Delivery | London, UK

AI Implementation Manager

Global Risk Senior Director Enterprise Security Architecture

WHAT YOULL DO

The Enterprise Security Architecture Senior Director oversees the strategic security architecture to ensure it aligns with business objectives. This role drives thought leadership within Information Security and Enterprise Architecture, leading a team of architects who collaborate across diverse technology portfolios. The Enterprise Security Architecture Senior Director will be instrumental in guiding the design, implementation, and operations of secure architectures for enterprise systems, cloud environments, and applications.

This role reports jointly to the Chief Information Security Officer (CISO) and Chief Architect to provide guidance, expertise, and influence technical product owners, portfolio leaders, and security engineers. The Enterprise Security Architecture Senior Director plays a key role in shaping the organizations security posture, acting as a trusted advisor to the Chief Information Security Officer, Chief Architect, IT Leadership Team, Information Security Risk Management leadership, and the Chief Risk Officer.

YOURE GOOD AT

Strategic Leadership

  1. Creating valuable and impactful security architecture recommendations that inform technical decisions while managing change and competing demands.
  2. Influencing Senior Directors and Executive Directors to mature and promote industry-leading security architecture across the enterprise technology landscape.
  3. Growing, inspiring, and retaining a diverse, high-performing team of security architects that is forward-looking and adaptive to emerging security technologies and threats.

Architectural Oversight

  1. Developing and implementing a comprehensive enterprise security architecture strategy that aligns with the organizations business goals.
  2. Establishing a strong library of architecture patterns that result in secure-by-design, performant, scalable, and highly available technical products.
  3. Driving the adoption of security architecture patterns, and harmonization of those patterns with peer enterprise architects vision of BCGs future technology stack.

Risk Management

  1. Collaborating with the risk management and compliance teams to ensure that security measures meet regulatory requirements.
  2. Consulting with architects and product owners on likely threat scenarios and effective mitigation strategies.
  3. Sharing best practices in information security between the business units and the rest of the enterprise.

YOU BRING (EXPERIENCE & QUALIFICATIONS)

  1. Bachelors degree (or equivalent).
  2. Minimum of 12 years of information security risk management experience, with a strong background in enterprise architecture, secure software development practices, cloud & infrastructure security, security applications, and technologies.
  3. Subject matter expert in cyber security practices that include the configuration and architecture of security tools and products, service-oriented architecture, machine learning and artificial intelligence, Domain-Driven Design, etc.
  4. Expert knowledge with cumulative hands-on experience across an array of technology platforms.
  5. Knowledge of the legal and regulatory landscape related to security and privacy in an international environment.
  6. Executive presence, ability to influence senior IT and Global Risk leaders.
  7. Knowledge of the cyber security landscape in modern digital technologies, particularly in cloud Security, in technological, business, and operational aspects.
  8. Ability to communicate (written and verbally) highly complex and technical concepts and information risk to technical and non-technical business audiences to aid them in making informed risk decisions.
  9. Must have experience managing compliance efforts and experience with business risk management with the ability to communicate the balance between strong security and enabling business.
  10. Experience leading a global, cross-functional team.
  11. Ability to apply an entrepreneurial and innovative mindset and attitude to adapt to the speed and agility needed for evolving business demands.

YOULL WORK WITH

A global team of information security professionals and business leaders. Interact daily with the worlds most remarkable entrepreneurs, designers, engineers, architects, product experts, and developers collaborating to create strategic advantage for the most important global companies. You will work in a fast-paced, intellectually intense, service-oriented environment to interpret rules and guidelines flexibly to enhance the business and in keeping with BCGs values and culture. You will be an integral part of the BCG Information Security Risk Management and Enterprise Architecture teams in delivering the security program for all of BCG.

J-18808-Ljbffr

National AI Awards 2025

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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.