Coordinating data governance policies in an organization with different team structures requires precise coordination ... Tailored communication: Tailor governance policies to the individual needs of each team and ensure clarity at all levels. Teams with different priorities need information presented in a way that resonates. Centralize the governance framework: Create a centralized governance structure that serves as a single source of truth but provides flexibility for team-specific adjustments. Encourage cross-team collaboration: Bring teams together regularly to share challenges and successes to promote alignment and shared understanding.

To achieve this, establish a cross-functional governance committee with representatives from each team. This ensures that the policies reflect the needs of diverse team structures. Provide standardized templates or guidelines that allow teams to adapt policies to their specific requirements while maintaining consistency with the core framework. Prioritize periodic check-ins and feedback loops to ensure compliance, address challenges, and make necessary adjustments. Finally, establish clear communication channels where ambiguities can be addressed, teams feel supported and heard, and provide regular training sessions to reinforce understanding.

Define a data governance framework with common goals applicable to the group. To achieve this a data governance and management team should be established first. The data governance framework should include many aspects like data ownership,defining rules for regulatory reporting,business glossary,data dictionary,metadata ,data lineage etc. The framework should also contain policies and data infrastructure strategy which is typically involve IT department. Also the framework should define how to make all teams in the ecosystem who are responsible for data creation ,maintenance &reporting a data literate team. So the stakeholders in this framework are from diverse teams across IT and non IT and so the collaboration is key.