Job Specifications
Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.
The Darktrace Active AI Security Platform™ delivers a proactive approach to cyber resilience to secure the business across the entire digital estate – from network to cloud to email. Breakthrough innovations from our R&D teams have resulted in over 200 patent applications filed. Darktrace’s platform and services are supported by over 2,400 employees around the world. To learn more, visit http://www.darktrace.com.
Job Description:
Role Overview
As Darktrace accelerates global growth and product innovation, data becomes mission-critical. The Vice President of Enterprise Data is a strategic, enterprise-wide leadership role reporting to the CIO, with a responsibility for designing, building and maintaining a unified data ecosystem that drives innovation, operational excellence and regulatory compliance.
With oversight across the full data lifecycle, the VP of Enterprise Data leads platform strategy, data architecture, data engineering, data management and data governance. The role will partner closely with business leaders, analytics teams, technology and security, to ensure that data is unified and managed as a secure, governed and scalable enterprise asset.
The role will ensure that the enterprise data platform is future proofed, cloud native and AI ready, providing the business with the flexibility and scalability to adapt and elevate operational performance at speed and scale.
Key Responsibilities
Enterprise Data Strategy & Executive Leadership
Define, own, and execute the enterprise data strategy and multi-year roadmap aligned with the enterprise business priorities and CIO’s technology strategy.
Establish data as a foundational capability supporting digital transformation, AI adoption, and data-driven decision-making.
Orchestrate the pathway to data democratization across the business.
Serve as the senior data leader within IT, advising the CIO and executive leadership on data investments, risks, and opportunities.
Enterprise Data Architecture & Platforms
Lead the design, implementation, and evolution of enterprise data architecture across on-premises and cloud environments.
Oversee architectural design of enterprise data platforms including data lakes, warehouses, streaming platforms, and AI-ready data environments.
Ensure platforms meet enterprise standards for scalability, resiliency, security, interoperability, and cost management.
Facilitate simplification and rationalization of data applications and artefacts.
Data Engineering & Integration
Build enterprise data platforms and establish enterprise standards for data pipelines, APIs, metadata-driven integration, and real-time data processing.
Direct enterprise data engineering teams responsible for ingestion, transformation, integration, and delivery of data at scale.
Enable consistent, secure by design, reusable data products and services across lines of business.
Data Governance, Quality & Compliance
Implement data governance frameworks, standards, policies, and operating models that enable speed (not bureaucracy) and embed developer friendly pathways.
Set rules and expectations for data quality, integrity and lineage. Define associated SLAs.
Ensure high levels of compliance, accountability and data ethics.
Define data ownership and stewardship models in partnership with business and IT leaders.
Partner with cybersecurity, risk, legal, and compliance teams to ensure adherence to privacy, security, and regulatory requirements.
Data Management
Own enterprise data management practices including master data management, reference data, metadata, data lifecycle management, and records retention.
Operate databases, data lakes and data warehouses, monitoring technical failures and outages.
Own the tooling, monitoring, quality checking and remediation for data quality and observability.
Ensure data assets are discoverable, well-documented, and effectively managed across their lifecycle.
Maintain FinOps practices across the data platform to ensure costs are transparent and fully optimized.
Analytics, AI & Advanced Capabilities
Ensure data platforms support business intelligence, advanced analytics, machine learning, and generative AI use cases.
Partner with analytics and AI teams to enable high-quality training and inference data.
Accelerate AI adoption through improved data readiness and model lifecycle integration.
Organizational Leadership
Build and scale a global, high-performing data organization with strong succession planning.
Define operating models between central IT and federated business analytics teams.
Develop talent, succession plans, and career paths.
Champion modernisation waves and change management, balancing near-term delivery with long-t
About the Company
Darktrace is a global leader in cybersecurity AI, providing the essential cybersecurity platform to secure organizations today and for an ever-changing future. Darktrace AI learns from each business's unique data in real time, detecting threats and intervening against attacks with precision and speed. We are a diverse and inclusive team of over 2,400 employees, each playing a crucial role in protecting nearly 10,000 organizations and communities worldwide from known, unknown, and novel cyber-threats.
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