Data Governance Manager
Role details
Job location
Tech stack
Job description
The University of Lancashire is seeking a Data Governance Manager to lead the development and operation of our institutional data governance framework at a senior, strategic level. This role is critical to supporting delivery of the University's new Data Strategy and enabling the responsible and effective use of AI. You will ensure that data is trusted, well-governed and fit for purpose to underpin analytics, automation and AI-enabled services, while meeting regulatory, ethical and security requirements. Working closely with senior stakeholders across academic schools and professional services, you will provide expert leadership on data governance, quality and ownership to support decision-making, digital transformation and AI initiatives across the University., Our people are our most important asset. We'll encourage you to make the most of your talents and continually develop your skills and knowledge. As well as realising your career ambitions, you'll be making a positive difference to other people's lives.
Requirements
You will be a data governance professional with the credibility and experience to operate at institutional level and to enable data-led and AI-enabled transformation. You will bring strong knowledge of governance frameworks, standards and best practice and excellent communication and influencing skills, with the ability to translate complex data and AI-related risks into clear, practical advice. An undergraduate degree in information management, data science, IT, or other related field, or equivalent experiential learning is essential for this role. Use of AI in applications: We want to understand your genuine interest in the role and artificial intelligence can be a useful tool to support your application. However, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience and the written elements of your application should accurately reflect your own communication style. Applications that rely too heavily on AI tools can appear generic and lack the detail we need to assess your skills and experience.