Job Description
Job Description
Program Manager IV (Lead) – Sr. Manager, Data Warehouse
Service Type : Contract to Hire
Location : Columbus, OH
Department : Data Technology
Overview :
We are seeking a seasoned Senior Manager of Data Warehousing 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.
Key Responsibilities :
- Lead and mentor a team of 12–16 data professionals, providing strategic direction, coaching, and technical oversight.
- Drive agile execution with a focus on velocity, transparency, and stakeholder engagement.
- Execute the Enterprise Data Warehouse (EDW) technology strategy in alignment with organizational goals.
- Participate in demand management and planning, assessing feasibility and estimating work effort.
- Translate technical designs into physical data models that meet governance, architecture, and business requirements.
- Manage data within the warehouse to ensure platform efficiency and scalability.
- Collaborate with data acquisition and operational teams to support reporting and analytics needs.
- Support incident resolution and promote continuous improvement across operational metrics.
- Perform additional duties as assigned.
Basic Qualifications :
Bachelor’s degree in a related field.Minimum 10 years of experience in large-scale data warehousing engineering projects.At least 7 years of experience managing data warehouse teams.Expertise in enterprise data warehousing best practices and modern data architectures.Proven ability to build and manage high-performing teams and deliver work aligned with business expectations.Strong communication and interpersonal skills for cross-functional collaboration.Preferred Qualifications :
Experience with cloud platforms such as AWS and Snowflake.Familiarity with IBM DataStage, Python / PySpark, Erwin Data Modeler, and Tableau.Knowledge of data governance, data quality, and data management practices.Experience with business intelligence and advanced analytics.