Darktrace · 16 hours ago
Vice President, Enterprise Data
New York, NY
Full-time
Hybrid
Director/Executive
15+ years expDarktrace is a global leader in AI for cybersecurity that provides essential cybersecurity platforms protecting organizations from unknown threats. The Vice President of Enterprise Data is a strategic leadership role responsible for designing and maintaining a unified data ecosystem that drives innovation and operational excellence.
Artificial Intelligence (AI)Cyber SecurityInformation TechnologyMachine LearningNetwork Security
Responsibilities
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
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
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
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
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
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
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-term simplification
Qualification
Required
15+ years leading enterprise data functions in complex, multi-region tech environments; experience at CDO or VP Data level
Deep expertise in cloud-native data platforms, streaming/eventing, metadata/lineage, DataOps, and MLOps, with proven adoption of AI/ML-enabled SDLC and observability
Track record in portfolio rationalisation, governance frameworks, and building communities of practice
Executive presence; able to advise the CIO/Board and influence across Product, Engineering, and Business
Bachelor's/Master's in Computer Science, Engineering, Data Systems, or related field
Benefits
23 days’ holiday + all public holidays, rising to 25 days after 2 years of service
Additional day off for your birthday
Private medical insurance which covers you, your cohabiting partner and children
Life insurance of 4 times your base salary
Salary sacrifice pension scheme
Enhanced family leave
Confidential Employee Assistance Program
Cycle to work scheme
Company
Darktrace
Darktrace is an AI company that uses cybersecurity solutions to identify, prevent, and eliminate insider threats.
1001-5000 employees
H1B Sponsorship
Darktrace has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (7)
2022 (2)
2021 (3)
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$230.5MKey Investors
Brighton Park CapitalVitruvian PartnersFuture Fifty
2024-04-26Acquired
2021-04-30IPO
2020-03-25Post Ipo Secondary
Leadership Team
Jack Stockdale
CTO
Jill Popelka
COO
Recent News
2026-01-16
2026-01-14
2026-01-06
Company data provided by crunchbase