Leads a small team of data engineers and applied data scientists while remaining hands-on with data pipelines, data governance, cloud infrastructure, and MLOps. Oversees batch and streaming systems, model deployment, monitoring, retraining, reliability, compliance, and data quality. Partners with stakeholders to prioritize initiatives, translates business needs into technical solutions, mentors team members, and improves data and ML delivery across the organization.