• Assist with coordinating across multiple teams: Data Governance, Data Enablement Real-Time Services, Data Warehousing, and Data Reporting. • Play a pivotal role in ensuring stability, efficiency, visibility, and continuous improvement of enterprise data capabilities. • Evaluate and prioritize incoming requests based on business impact, urgency, and technical feasibility. • Set clear expectations with stakeholders, ensuring alignment with organizational goals. • Communicate trade-offs transparently, advocating for business value over reactive task execution. • Develop a structured framework for prioritization that ensures mission-critical support needs are met while also advancing right-sized enhancements that drive continuous improvement. • Ensure operational metrics, roadmaps, goals/outcomes, project status, and other critical reports outs for the data department are updated appropriately. • Identify and help remove operational roadblocks that limit team effectiveness, including process inefficiencies, unclear responsibilities, or misaligned priorities. • Facilitate necessary resource capacity/demand activities include planning, onboarding, tracking, and support for both employee and contractual staff across all enterprise data teams. • Ensure cross-team collaboration, fostering a shared understanding of priorities, dependencies, and technical solutions. • Create and uphold accountability structures to ensure work is completed efficiently and of high quality. • Drive a culture of ownership, problem-solving, and continuous learning. • Coach team leads on best practices for planning, reporting, and cross-functional collaboration. • Act as a central point of escalation and resolution for cross-team resource conflicts or competing priorities. • Promote the use of generative AI tools to boost team creativity, efficiency, and skill development. • Serve as the bridge between technology teams and business stakeholders, ensuring both sides understand priorities, constraints, and impacts. • Maintain a strong grasp of enterprise data systems, workflows, and potential challenges, ensuring informed decision-making. • Set firm but fair expectations with business stakeholders, ensuring they understand how and why prioritization decisions are made. • Provide regular updates on progress, challenges, and key outcomes related to support and enhancements. • Communicate realistic timelines, risks, and trade-offs when managing requests.