One persistent issue I’ve noticed in my career that holds back support for data and AI governance is the lack of common language between specialists and leadership.
Have you ever been in meetings where someone is presenting, and you realise ten minutes in that you must stop them because it’s unclear what the subject matter is, and why
it matters in terms you understand? Aligning language to what resonates with the
leadership is pivotal for Data and AI governance professionals.
Here’s why this is important:
Establishing Trust and Credibility:
Leadership needs to trust that the information they receive is reliable and actionable. Using clear, straightforward language helps bridge the gap between technical complexity and leadership understanding, ensuring that leaders grasp the significance of the function and how it serves them. Governance professionals should focus on simplifying complex concepts without diluting the core message, using real-world examples that resonate with the business context
Ensuring Strategic Alignment:
Leaders are focused on the strategic direction of the organisation. They need to see how data and AI governance aligns with and supports broader business goals. Governance professionals should frame their discussions in terms of risk management, compliance, and business value, rather than purely technical jargon that is regurgitated from data management textbooks. Highlighting the direct impact of data initiatives on strategic objectives, such as market competitiveness and operational efficiency, can foster a deeper understanding and commitment from leaders.
Facilitating Support:
Clear communication empowers leaders to provide support. When governance professionals present information in a way that aligns with the leaders perspective, it helps them understand the implications of the work undertaken by data and AI governance teams. Using visual aids, such as infographics, can enhance comprehension and retention of key information, making it easier for leaders to grasp and connect with you on.
Highlighting Regulatory and Compliance Issues:
Leaders need to be aware of the regulatory landscape and its impact on the organisation. Presenting these issues in a clear and concise manner ensures that board members understand their responsibilities and the material risks of non-compliance. Make sure you communicate the materiality of non-compliance too vs a risk reduction cost-benefit.
Driving Accountability:
Co-designing clear and practical governance frameworks and accountability structures help leaders understand their responsibilities and the steps required to fulfil them.
Enhancing Engagement and Support:
Engaging leaders in governance discussions requires language that resonates with their priorities. When governance professionals speak the leaders language, it enhances support for data initiatives. Tailoring communication to a leaders concerns and interests, such as risk mitigation, supporting rapid innovation, and competitive advantage, can lead to more productive and impactful discussions.
By aligning language and priorities, governance professionals can feel better supported and valued, and can work together to build a resilient, data and AI driven future.
Cameron Towt, MAICD, is the founder of ioethic. He brings over almost 25 years of experience in data management and advanced analytics, specialising in the governance of data and AI to drive societal benefits.
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