Description

Summary:

Huntington Bank is looking for a data warehouse leader in our Data Technology organization. In this role you will lead a team of 6 dedicated to pushing the limits of continuous improvement and innovation using data warehousing as a lever. As a Sr. Manager of the Data Warehouse, you will report to the Data Warehouse Director and work closely with the Chief Data & Analytics Office organization to influence the business and technology strategies for the company.

If you consider data as a strategic asset, evangelize the value of good data and insights, have deep understanding of data governance, are an experienced thought leader in data warehousing and love building teams and mentoring talent, this role is for you.

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.

Duties and Responsibilities:

• Manage a team of colleagues and contractors, providing resource allocation, coaching and development.

• Lead a cross functional agile team to deliver on projects in support of the Fraud portfolio roadmap, providing thought leadership and technology oversight.

• Work with stakeholders to ensure that business needs are clearly understood and that services meet those needs.

• Work in partnership with data science teams and business analysts in refining their data requirements for various data and analytics initiatives, including their data consumption needs.

• 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.

• Anticipate and analyze trends in technology while assessing the emerging technology’s impact.

• Support incident resolution and continuous improvement to drive efficiency across multiple operational run metrics.

Basic Qualifications:

• Bachelor's Degree

• 10+ years of experience as a technology manager for data warehouse teams.

• 7+ years of hands-on experience in multi-terabyte data warehousing engineering projects.

• 3+ years in financial services, specifically data engineering with compliance for origination, servicing and transactional data to support core banking and operational processes and analytics.

Preferred Qualifications

• 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.

• Proven ability to take requirements and logical designs and translate them into physical implementation, informed by business and enterprise requirements.

• Experience with cloud technologies including AWS and Snowflake.

• Experience with IBM DataStage, Python/PySpark, Erwin Enterprise Data Modeler and Tableau.

• Experience with data governance and data management approaches, including data quality.

• Experience with business intelligence and advanced analytics.

  Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Hybrid

Huntington is an equal opportunity and affirmative action employer and is committed to providing equal employment opportunities for all regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, veteran status, gender identity and expression, genetic information, or any other basis protected by local, state, or federal law.

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Agency Statement: Huntington does not accept solicitation from Third Party Recruiters for any position