Manager, Data Governance, Engineering AI & Data

• Possess a clear understanding of key Data Governance principles and their practical application in areas such as data stewardship, metadata management, and data quality
• Lead requirements gathering, client interviewing, and current state analysis to inform Data Governance solutions
• Lead workshops and training to explain and promote Data Governance concepts and their importance
• Flexibly work with our clients across both advisory and delivery in the data space, enabling them to leverage trusted, high-quality data for strategic decision-making and operational excellence
• Advise clients on the strategic 'why', 'what', and 'how' of establishing robust Data Governance to ensure data quality, compliance, and trustworthiness for business objectives
• Define and execute data initiatives to enhance and promote solid Data Governance foundations across our clients' businesses
• Present and communicate to unfamiliar people with the use of data in decision-making about the advantages and caveats of proposals and solutions
• Contribute to the design and implementation of organisational structures and operating models that embed Data Governance best practices
• Engage directly with senior client stakeholders and internal leadership teams to shape, define, and deliver Data & AI Governance strategies aligned with business goals
• Stay at the forefront of Data & AI Governance industry trends, actively maintaining an awareness of the latest Data Governance tool solutions and trade association certifications

• An analytical and logical perspective, with the ability to view a problem from different angles
• Strong awareness of audience knowledge, and the ability to adjust language accordingly
• Knowledge of process mapping, design, and improvement
• Experience designing operational models and organisational models

Additionally, you may have:

• An understanding of Data Governance principles and familiarity with its processes, policies, and key vendor platforms
• An understanding and interest in Trustworthy AI and AI Governance
• Experience with, or formal certifications from, leading Data Governance tooling platforms, such as Collibra or Informatica
• Experience in the design or delivery of Data Products and Data Marketplaces
• Experience in Metadata Management/Master Data Management, including Data Quality

If you lack formal Data Governance experience, we are still keen to hear from people with transferable skills in AI Governance, business change, and senior stakeholder management.

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