Cybersecurity Enterprise Data Architect

The Opportunity

The Security Technology Services (STS) group is a division of Information Security that ensures secure access to systems and information for more than 400,000 individuals across over 150 countries. We are seeking a highly skilled Cybersecurity Enterprise Data Architect to join our team, focusing on both business and technical data models within Information Security. The ideal candidate will possess deep expertise in generative AI, secure data architectures, governance, and cloud platforms.

This role will concentrate on modernizing and designing data systems that enable trustworthy and explainable AI applications while ensuring security and compliance.

• Interpret and deliver impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps
• Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms
• Collaborate closely with the Strategy team to both influence and incorporate organizational strategy
• Manage senior business stakeholders to secure strong engagement and ensure that the delivery of the project aligns with longer-term strategic roadmaps
• Connect with key stakeholders, cybersecurity experts, and operational teams within the Information Security department to create scalable security solutions
• Translate high-level business requirements into data models and appropriate metadata, test data, and data quality standards
• Simplify the existing data architecture, delivering reusable services and cost‑saving opportunities in line with the policies and standards of the company
• Establish and maintain governance frameworks that ensure data integrity, security, and compliance across all data systems and applications, integrating risk‑management principles into the design and operational processes
• Collaborate with Enterprise Architects to ensure solutions align with the company's long‑term goals, adhere to design guidelines, and contribute to project direction when necessary
• Work with IT teams, business analysts, and data analytics teams to understand data consumers’ needs and develop solutions
• Work closely with cross‑functional teams, including data scientists, engineers, and business stakeholders, to gather requirements, facilitate discussions, and ensure that data solutions meet business needs and compliance requirements
• Translate business requirements into technical specifications for solutions, considering risks, dependencies, costs, and the overall risk of the technical solution
• Lead the development of secure semantic retrieval‑augmented generation (RAG) architectures that effectively manage and interconnect structured & unstructured data
• Integrate large language models (LLMs) with effective metadata governance and ontology enrichment processes
• Monitor industry trends, emerging technologies, and competitive landscape, providing insights and recommendations to senior leadership for strategic decision‑making
• Provide data architecture thought leadership at an enterprise level
• Select and implement database management systems that meet the organization’s needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures
• Design the structure and layout of data systems, including databases, warehouses, and data lakes
• Ensure compliance with regulatory requirements, data privacy, and security standards, implementing best practices for data governance, risk management, and cybersecurity
• Ensure data integrity through zero‑trust prompt orchestration and model observability
• Architect and implement data lake houses and master data management (MDM) solutions
• Produce robust governed analytics solutions using tools such as Databricks and Microsoft’s Synapse
• Modernize cloud migration processes and construct data products that foster governed self‑service analytics
• Collaborate with cross‑functional teams to ensure adherence to regulatory standards and best practices in data governance
• Provide technical leadership, mentorship, and guidance to technical teams, fostering a culture of innovation,…