Manager – Data Governance – AI & Data – Technology Consulting – Belfast

Overview

As a Manager in EY’s Data & AI practice, you lead data governance engagements from assessment to implementation, translating governance aims into practical changes. You’ll define governance operating models, oversee data quality and lineage work, and drive value for clients while collaborating across service lines. You’ll steer projects, engage senior stakeholders, and contribute to thought leadership within a diverse, growth-focused team. This role offers exposure to multiple industries and opportunities to shape data as a trusted asset.

Pay / Benefits

• Continuous learning
• Flexible tools and environment to make an impact
• Transformative leadership development
• Diverse and inclusive culture

Responsibilities

• Lead data governance engagements from assessment through design and implementation aligned with client objectives and regulatory needs
• Establish clear governance operating models with defined ownership and accountability for data
• Oversee governance across domains like data quality and lineage to maximise value and trust in data
• Develop comprehensive project plans (scope, objectives, timelines, resources) and ensure delivery
• Facilitate discussions with senior stakeholders, turning complex requirements into actionable roadmaps
• Drive operational efficiency and ensure high-quality project outcomes
• Create innovative insights to add value for clients and society
• Identify opportunities to expand client relationships and service offerings across lines
• Lead Technology Consulting engagements, manage team performance, and oversee budgets and invoicing
• Build internal capability through coaching, onboarding, and contributing to team growth

Key requirements

• Completed degree or equivalent professional experience
• Significant experience in data governance or data management
• Experience with DAMA-DMBOK2
• Proven track record leading complex projects and multidisciplinary teams
• Knowledge of governance operating models and core data governance principles
• Strong stakeholder management and communication skills, with ability to influence senior stakeholders
• Ability to manage delivery while ensuring strong client experience
• Experience coaching and developing others and contributing to team growth

• Stakeholder management
• Leadership and coaching
• Strategic thinking
• Data governance methodologies (DAMA-DMBOK2)
• Data quality
• Data lineage

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