Cyber Data Science, Enablement, & Analytics Leader, Managing Director

State Street
London
4 days ago
Create job alert

This job is with State Street, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Who we are looking for
The Cyber Data Science, Enablement, & Analytics Leader will lead a team responsible for designing and operating data, analytics, and automation capabilities that underpin cyber control testing, continuous monitoring, and executive reporting. The selected candidate will derive accurate and timely insights into the firm's security posture, inform cyber residual risk, and transform data into actionable intelligence. This role will provide stakeholders and risk owners with a single source of the truth of the security health of their assets.
What you will be responsible for
Design, build, and maintain:
Cyber data pipelines that aggregate risk, control, and other data from security tools, IT systems, and GRC platforms into a central repository/data warehouse.
A data repository with front-end analytics to effectively response to regulatory questionnaires; using AI to ensure consistency across responses.
Develop and execute automated control tests (e.g., external-facing attack surface, configuration, access, vulnerability, etc.) using scripts, APIs, and rules-based engines to provide periodic and near real-time assurance while aligning to known attack paths, where possible.
Partner across Cyber functions, including GRC, security operations, security engineering and architecture, and data teams, to define data requirements, test cases, and target coverage for automated control testing.
Analyze control testing results to identify patterns, emerging risks, and systemic control design or operating issues; provide data-driven recommendations for remediation and prioritization.
Implement continuous monitoring dashboards and scorecards for key cyber risk and control indicators, support cyber leadership and facilitate reporting across business segments and functions.
Engineer and maintain data models, taxonomies, and mappings (e.g., controls to NIST, ISO, CRI) to support standardized assurance related to regulatory requirements, metrics, and cross-framework reporting.
Automate compliance and audit reporting, including evidence collection, population of templates, etc. to provide insights into gaps and remediation progress.
Implement AI to support use cases across cyber security functions to increase efficiency and provide insights into data.
Support regulatory and internal audit requests and  reporting by producing metrics and evidence packs.
Contribute to the design and rollout of cyber GRC tooling with a focus on workflow automation, data quality, and integration with data pipelines and enterprise-wide tooling.
Establish and maintain documentation for data pipelines, control test logic, dashboards, and reporting processes, including runbooks and standard operating procedures.
Build strong partnerships with cyber function leads and stay abreast of cyber transformation activities to ensure data, testing, dashboards and reporting processes maintain pace with cyber initiatives and emerging threats and risk.
Lead team of data scientists and engineers to support enablement of Cybersecurity risk identification, control testing, and senior level reporting.
What we value
These skills will help you succeed in this role
Deep expertise in cryptographic technologies, including PKI, TLS, HSMs, and certificate/key lifecycle management.
Proven leadership in managing large-scale cryptographic programs across complex, global environments.
Strong understanding of regulatory frameworks (e.g., NIST, ISO 27001, PCI DSS) and their cryptographic requirements.
Experience with cloud-native cryptographic services (e.g., AWS KMS, Azure Key Vault).
Exceptional communication and stakeholder management skills.
Ability to lead cross-functional teams and influence without direct authority.
Strong organizational, multi-tasking, and prioritization skills.
Experience implementing automated and/or continuous controls monitoring in cloud and hybrid environments.
Background in ITGC testing, control assurance, including test design, sampling, and documentation of findings and remediation actions.
Knowledge of data modeling, ETL design, and basic data-engineering patterns (e.g., orchestration, data quality checks, schema versioning.
Strong analytical mindset with the ability to translate ambiguous risk or control questions into measurable metrics and repeatable tests.
Clear written and verbal communication skills, including the ability to explain complex technical findings and trends to leadership.
Education and Preferred Qualifications
10+ years of experience in cyber GRC, security analytics, data engineering, or related assurance roles, with exposure to control testing and risk/compliance reporting.
Bachelor's degree in information systems, computer science, data analytics, cybersecurity or related field (or equivalent experience).
Demonstrated experience in building dashboards and reports in BI tools (e.g., Tableau, Power BI, or similar) to communicate risk and controls insights to non-technical stakeholders.
Hands-on experience with scripting or automation programming (e.g., Python, PowerShell, SQL) and working with APIs to security extract data from security and IT platforms.
Strong understanding of information security control frameworks and regulations such as NIST CSF / 800-53, ISO 27001/2, and data protection requirements.
Familiarity with GRC platforms and workflow automation capabilities.
About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement

Related Jobs

View all jobs

Senior Data Scientist

Chief Tech, Cyber & Data Governance Leader

Cyber Analytics Data Engineer (Hybrid)

Head of Tech, Cyber Security & Data Governance

Senior Data Scientist

Senior Enterprise Data Architect

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.