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Data and AI Risk Solutions - Vice President

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Nomura

16d ago

  • Job
    Full-time
    Senior & Expert Level
  • Data
  • London

AI generated summary

  • You must have robust data literacy, capital markets experience, strong risk mindset, business process design skills, project lifecycle knowledge, excellent communication skills, ability to challenge and prioritize effectively, and proficiency in relevant tools and technologies.
  • You will implement and enhance data management frameworks, support data tools adoption, lead cross-functional origination, assess Cloud technology initiatives, and update project artefacts.

Requirements

  • Knowledge and Skills Requirements:
  • Robust data literacy including metadata management, data governance (e.g., quality), core data roles (e.g., stewards), knowledge of layered architecture of a data platform (sources, integration, processing, storage, analytics, visualization)
  • Experience in the use of associated technologies (data catalog, data quality management platforms)
  • Strong experience in capital markets including insights into core functions, products, processes, and regulations – ideally acquired in a Data Office or Technology role in BAU, Change or Remediation
  • Knowledge of Cloud-based big data frameworks such as data lake, relational, Graph and other no-SQL databases
  • Strong risk and control mindset – with direct experience acquired in prior role e.g., Cloud, Data, or Technology controls
  • Robust business process design skills – technical writing, techniques and artefacts (e.g., RACI)
  • Robust knowledge of the project lifecycle, techniques and methodologies and artefacts
  • Excellent communication (verbal, written, listening), inter-personal and influencing skills, with the ability to bridge SMEs and business through user-friendly language
  • Able to analyse complex situations and derive workable actions (practical mindset)
  • Able to constructively challenge requirements and current state to increase overall value to the firm
  • Able to understand and integrate cultural differences and work effectively with virtual cross-cultural, cross-border teams
  • Self-motivator, autonomous, with strong organizational skills, allowing effective prioritisation
  • Proficient in use of MS Project, MS Office tools, PowerBI, Confluence, Tableau, Alteryx
  • Experience:
  • 7-10 years’ demonstrable experience in managing enterprise data assets and/or data transformation projects and programmes in large, complex organisations – preferably in capital markets
  • Experience of working with a multi-cultural, multi-disciplined, globally dispersed team
  • Formal data management and project management certification advantageous

Responsibilities

  • Implement federated data management framework requirements, including enterprise conceptual / logical / physical data model updates, metadata management, data quality management, data stewardship operating model
  • Implement improvements and enhancements to enterprise data management framework and data capabilities, especially automation and digitalisation opportunities
  • Support broader adoption and operationalisation of enterprise data tools, such as metadata management, data quality management, Cloud enterprise analytics data warehouse
  • Lead the cross-functional framework origination (Policy, Standard and Guidelines) supporting the continuous embedding of the data management framework – e.g., cross-border data transfer
  • Drive the CDO assessment process for new Cloud computing technology initiative – including the coordination of the transition to the Cloud Office in 2026H1
  • Prepare and update project and associated data management artefacts

FAQs

What is the role of the Vice President of Data and AI Risk Solutions within the Chief Data Office?

The Vice President of Data and AI Risk Solutions is responsible for implementing federated data management framework requirements, enhancing enterprise data management capabilities, supporting broader adoption of enterprise data tools, leading cross-functional framework origination, driving assessment processes for new Cloud computing initiatives, and preparing and updating project and associated data management artefacts.

What are the knowledge and skills requirements for the Vice President of Data and AI Risk Solutions role?

The Vice President should have robust data literacy, experience in associated technologies, strong knowledge of capital markets, familiarity with Cloud-based big data frameworks, a risk and control mindset, business process design skills, project lifecycle knowledge, excellent communication and influencing skills, ability to analyse complex situations, constructively challenge requirements, work effectively with cross-cultural teams, be a self-motivator, and proficient in various software tools.

What experience is required for the Vice President of Data and AI Risk Solutions role?

The ideal candidate should have 7-10 years of experience in managing enterprise data assets and/or data transformation projects in large, complex organizations, preferably in capital markets. Experience working with multi-cultural, globally dispersed teams and formal data management and project management certifications are advantageous.

Finance
Industry
10,001+
Employees
1925
Founded Year

Mission & Purpose

Nomura is a global financial services group with an integrated network spanning over 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Retail, Wholesale (Global Markets and Investment Banking), and Investment Management. Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership.