Head of Data Governance & AI Governance

United States, New York
Permanent
Job ID: 2497

Job Description


[Up to c. $300k Comp Package | Hybrid Working]


Role Overview

We’re representing a leading electronic trading and financial technology organisation as it establishes a dedicated enterprise Data Governance capability within its broader Operational Risk structure. This is a senior Director-level opportunity focused on building the firm’s governance framework for data ownership, quality, lineage, security, privacy and AI-related data standards across a highly interconnected trading and technology environment.

This role is both strategic and execution-oriented. The successful individual will define governance models, implement standards and oversight processes, and act as a central point of coordination across technology, operations, product and risk teams. A major focus will be ensuring that data used across analytics, reporting and AI/ML workflows is governed consistently, traceable end-to-end, and aligned with regulatory and operational expectations. The environment is complex, fast-moving and highly cross-functional, requiring someone capable of influencing senior stakeholders while building practical governance structures from the ground up...


Key Responsibilities

  • Create and formalise the organisation’s enterprise-wide approach to data governance, including committee structures, accountability models and policy standards
  • Introduce clear ownership and stewardship principles across critical datasets, ensuring responsibilities are understood and consistently applied across business and technology teams
  • Develop governance controls covering data classification, retention, privacy, integrity, accessibility and lifecycle management
  • Establish oversight processes for AI and advanced analytics use cases, ensuring appropriate standards exist around data sourcing, lineage, quality and traceability
  • Work alongside operational and technology risk teams to embed governance review processes into wider enterprise control frameworks
  • Improve visibility into how data is catalogued, consumed and shared across platforms, applications and reporting environments
  • Lead the selection, assessment and rationalisation of governance tooling related to metadata management, lineage tracking, cataloguing and data inventory capabilities
  • Create measurement frameworks and reporting standards to track governance effectiveness, policy adherence and data quality outcomes across the organisation
  • Act as a senior escalation point for governance disputes, ownership ambiguity and policy exceptions involving business, technology and operational stakeholders
  • Drive adoption of governance practices across engineering, operations and product teams through education, influence and cross-functional coordination
  • Build a scalable governance operating model capable of supporting future regulatory, AI and enterprise data management requirements


What You’ll Bring…

  • 10-18 years’ experience across enterprise data governance, data management, operational risk, data controls or related oversight functions
  • Strong background within financial services, capital markets, electronic trading or other highly regulated technology-driven organisations
  • Proven experience standing up or transforming enterprise governance programmes across large-scale, cross-functional environments
  • Strong understanding of data ownership frameworks, stewardship models, lineage concepts and enterprise control structures
  • Familiarity with governance considerations surrounding AI/ML workflows, analytics environments and modern data ecosystems
  • Experience defining governance policies, operating standards, escalation processes and enterprise reporting frameworks
  • Ability to assess governance technologies and platforms pragmatically against operational and regulatory requirements
  • Excellent communication and stakeholder engagement skills, particularly when influencing senior business, technology and operational leadership teams
  • Experience coordinating broad enterprise initiatives involving multiple business units, technology groups and control functions
  • Demonstrated leadership capability within complex organisations undergoing transformation or scale initiatives
  • (Preferred) Exposure to governance tooling such as Collibra, Alation or comparable metadata and cataloguing platforms
  • (Preferred) Familiarity with AI governance, data ethics frameworks or emerging regulatory expectations tied to AI-driven systems


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