Digital Assets Data Architecture and Engineering
DigitalAssetsDataArchitectureandEngineering-VicePresident
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“Digital Assets Data Architecture and Engineering - Vice President at Digital Assets Data Architecture and Engineering. Skills: Data Architecture, AI Architecture, Cloud Architecture, Machine Learning. Design end-to-end data pipelines. Own AI-ready infrastructure”
What They're Looking For.
Must Have
Completed bachelor’s degree in an applicable field, such as computer science or information systems, 16 + years’ experience in a similar role designing and launching digital platforms, Proven track record of leading successful data, AI, cloud initiatives
Nice to Have
Advanced degree in business, technology, or engineering is a plus
What You'll Do.
Design end-to-end data pipelines
Own AI-ready infrastructure
Build and deploy ML models
Integrate foundational models
Set data quality standards
Set data lineage standards
Set data security standards
Build self-service data services
Understand business processes
Assess current methods
Recommend improvements
Implement organizational strategy
How You'll Work.
Team & Collaboration
Working cross-functionally across different geographies; Ensuring collaboration and knowledge sharing between various locations; Working with people at all levels in an organisation; Working with people from many cultural backgrounds
Process & Methodology
Manage competing priorities, Deliver set tasks, Deliver objectives, Deliver strategic priorities
Full Job Description
As a key member of the Digital Assets Technology leadership team, this role reports to Head of Digital Assets Technonology. A forward-looking technology leader who is experienced in developing data, AI and cloud architecture startegies and has a track record of driving them through to execution and support. Drive digital technology data, AI and innovative solutions, working cross-functional across different geographies * **Key Responsibilities** * **Data & AI Strategy & Architecture:** Design and own end-to-end data pipelines, AI-ready infrastructure, and feature stores (e.g., Databricks) that support both batch and real-time streaming. * **AI/ML & GenAI Enablement:** Build, deploy, and monitor machine learning models and integrate foundational models (OpenAI, Amazon Bedrock) into production. * **Data Governance & Quality:** Set standards for data quality, lineage, and security, ensuring compliance with regulations like GDPR/CCPA. * **Team Leadership & Engineering:** Lead multidisciplinary teams to build a self-service data and AI services with "golden path" templates and MLOps tools, fostering a culture of innovation and high ownership. * Ensure collaboration, knowledge sharing, and best practices between various locations to ensure a robust digital assets data ecosystem * Able to manage effectively a number of competing priorities * A strategic thinker with the ability to lead by example demonstrating an ability to deliver set tasks, objectives and strategic priorities * Identifying new tools – AI, BI, digital, automation – that can support, enhance and improve our solutions. * Understand core business processes and associated technical solutions & architcture * Assessing current methods and recommending improvements * Ability to contribute to and implement organisational strategy * Capacity to work with people at all levels in an organisation and with people from many cultural backgrounds. * Have an innovative and disruptive mindset, constantly looking forward **
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