Vice President, Enterprise Data

Location: New York

###Vice President, Enterprise Data page is loaded## Vice President, Enterprise Data locations:
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Posted Todayjob requisition :
JR101233

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 .  
** Job D
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**** 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,…