Data Warehouse Technical Team Program Manager

Central Point Partners; Columbus (OH); Hybrid; USD 140,000 - 145,000; Full time

Job summary

A financial organization is seeking a Data Warehouse Leader in Columbus, OH. This hybrid role involves managing a team of 12-16, driving innovation in data warehousing projects, and executing technology strategies. The ideal candidate has a Bachelor's degree and over 10 years of experience in data warehousing, along with strong leadership and technical skills in cloud technologies like AWS and Snowflake. A competitive salary ranging from $140K to $145K, plus a bonus, is offered for this full-time position.

Qualifications

• 10+ years of hands-on experience in managing multi-terabyte data warehousing projects.
• 6-7+ years of experience as a technology manager with direct reports for data warehouse teams.
• Preferably experience in Banking, Healthcare, or other regulated industries.

Responsibilities

• Lead a team of 12-16 resources, providing strategic direction and technical oversight.
• Execute the EDW technology strategy, aligning with enterprise goals.
• Support incident resolution and continuous improvement across operational metrics.

Skills

Leadership capabilities

Technical expertise in big data technologies

ETL processes

Cloud technologies (AWS, Snowflake)

Data governance

Education

Bachelor's degree in a related field

Tools

Snowflake

AWS

Python PySpark

Tableau

IBM DataStage

Job description

Location: Columbus, OH

Hybrid onsite role (4 days/week onsite, 1 day/week remote)

Full time Hire after 3 months contract period

Salary: $140K - $145K/year base + 20% annual bonus

Must be US Citizen or Permanent resident or on H4-EAD status

The ideal candidate will possess strong leadership capabilities, technical expertise in big data technologies (Snowflake, AWS etc), ETL processes and a strategic mindset to drive innovation within the bank's Enterprise Data Warehouse ecosystem.

Must have 6+ years of managing teams with direct reports and 10+ experience managing programs and projects in Data Warehouse.

Prefer applicants with experience in banking, healthcare or other regulated industry.

Our banking client is looking for a data warehouse leader in our Data Technology organization. In this role you will lead a team of 12-16 dedicated to pushing the limits of continuous improvement and innovation using data warehousing as a lever. You will be responsible for leading within the Enterprise Data Warehouse for the bank, including innovating on the platform to enable next-generation capabilities. You will participate in the definition of the strategic roadmap for data technology and be responsible for executing data warehousing initiatives. You will partner with other Data Technology organizations and CDAO leads to architect and enable an effective data ecosystem, as well as key leaders in business and technology to understand and support their needs.

Basic Qualifications

• Bachelor's degree in a related field.
• 10+ years of hands‑on experience in managing multi‑terabyte data warehousing engineering projects.
• 6 -7 + years of experience as a technology manager with direct reports for data warehouse teams.
• Deep understanding of enterprise data warehousing best practices for technical implementation and providing business value. Thought leadership in next‑evolution modern data architectures. Best practice EDW testing and validation approaches and implementation.
• Strong organizational skills with demonstrated ability to build and manage a high‑performing team, work with partners to set and meet business service level agreement levels, plan and deliver work to expectations.
• Strong communication and interpersonal skills for interacting and collaborating with developers, analysts and business colleagues throughout the organization.
• Prefer experience working in Banking, Healthcare, or any other regulated industry environment.

Preferred Qualifications

• Strong understanding of ETL operations
• Experience/understanding of any cloud technologies (AWS, Snowflake or others)
• Experience/understanding of / IBM DataStage, Python PySpark, Erwin Enterprise Data Modeler and/or Tableau.
• Experience with data governance and data management approaches, including data quality.
• Experience with business intelligence and advanced analytics.

Key Responsibilities

• Lead a team of 12-16 resources, providing strategic direction, coaching, and technical oversight.
• Drive agile execution, ensuring consistent velocity, transparency, and stakeholder engagement.
• Execute the EDW technology strategy, ensuring alignment with enterprise goals and segment priorities.
• Participate in demand management and planning, assessing impact, feasibility and estimating work effort.
• Understand and translate the technical design from the Data Architect team into implemented physical data models that meet data governance, enterprise architecture and business requirements for data warehousing. Manage data within the data warehouse to ensure efficiency of platform.
• Work with operational data and data acquisition teams to manage incoming sources and the down‑stream systems to understand and support their needs for reporting and analytics.
• Support incident resolution and continuous improvement to drive efficiency across multiple operational run metrics.