<p><strong>Program Manager IV (Lead) – Sr. Manager, Data Warehouse</strong></p><p> <strong>Service Type:</strong> Contract to Hire</p><p> <strong>Location:</strong> Columbus, OH</p><p> <strong>Department:</strong> Data Technology</p><p><strong>Overview:</strong></p><p> We are seeking a seasoned <strong>Senior Manager of Data Warehousing</strong> to lead a high-performing team within our Data Technology organization. This role is ideal for a strategic thinker and hands-on leader who thrives in a fast-paced environment and is passionate about driving innovation and continuous improvement in enterprise data platforms.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead and mentor a team of 12–16 data professionals, providing strategic direction, coaching, and technical oversight.</li><li>Drive agile execution with a focus on velocity, transparency, and stakeholder engagement.</li><li>Execute the Enterprise Data Warehouse (EDW) technology strategy in alignment with organizational goals.</li><li>Participate in demand management and planning, assessing feasibility and estimating work effort.</li><li>Translate technical designs into physical data models that meet governance, architecture, and business requirements.</li><li>Manage data within the warehouse to ensure platform efficiency and scalability.</li><li>Collaborate with data acquisition and operational teams to support reporting and analytics needs.</li><li>Support incident resolution and promote continuous improvement across operational metrics.</li><li>Perform additional duties as assigned.</li></ul><p><br></p>

<p><strong>Basic Qualifications:</strong></p><ul><li>Bachelor’s degree in a related field.</li><li>Minimum 10 years of experience in large-scale data warehousing engineering projects.</li><li>At least 7 years of experience managing data warehouse teams.</li><li>Expertise in enterprise data warehousing best practices and modern data architectures.</li><li>Proven ability to build and manage high-performing teams and deliver work aligned with business expectations.</li><li>Strong communication and interpersonal skills for cross-functional collaboration.</li></ul><p><strong>Preferred Qualifications:</strong></p><ul><li>Experience with cloud platforms such as AWS and Snowflake.</li><li>Familiarity with IBM DataStage, Python/PySpark, Erwin Data Modeler, and Tableau.</li><li>Knowledge of data governance, data quality, and data management practices.</li><li>Experience with business intelligence and advanced analytics.</li></ul><p><br></p>

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