A data engineering team responsible for managing a complex data ingestion and transformation process feeding into an Amazon EMR cluster is experiencing significant operational friction. Pipelines are becoming increasingly intricate, with frequent, undocumented changes originating from various stakeholder groups. The team lacks a clear framework for prioritizing urgent fixes versus planned enhancements, leading to missed deadlines and a decline in data quality. Ownership for specific pipeline segments is often ambiguous, resulting in delays when issues arise as the responsible party is not immediately identifiable. The team’s current problem-solving approach is largely reactive, and there’s a palpable sense of frustration due to the constant firefighting. Which of the following strategic shifts would best address the team\'s challenges related to adaptability, collaboration, and effective problem-solving in this evolving AWS big data environment?