Communication is always key. Hold a meeting to understand each team's priorities and concerns. Encourage open communication and focus on aligning their goals with the overall business objectives. Use a mediator if needed to ensure everyone feels heard. Create a shared roadmap that outlines clear priorities, timelines, and responsibilities. Regularly review progress and adjust plans to keep the teams aligned. Emphasize collaboration and highlight how working together will lead to better results for the project and the organization.

The way we think about prioritizing Data Modeling / Engineering efforts is always rooted in the impact to the customer (internal or external). There likely will be conflicting priorities from different stakeholders, but they can be balanced with clear communication. Some tips that I've seen work well: - Utilize an agile framework to establish clear line of sight to the current and upcoming priorities (sprint / project backlog) - Engage with your business stakeholders frequently to listen for upcoming needs that your data team can support. - Communicate clearly with your customers and business counterparts. If current initiatives are understood, it may also be understood why they've taken priority over other things.