Digital Assets Data Architecture and Engineering - Vice President

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

Qualification:

• Completed bachelor’s degree in an applicable field, such as computer science or information systems
• Advanced degree in business, technology, or engineering is a plus
• 16 + years’ experience in a similar role designing and launching digital platforms
• Proven track record of leading successful data, AI, cloud initiatives

About State Street

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