Description

Summary:

Huntington Bank is seeking a visionary and execution-focused Segment Director in the Enterprise Data Warehouse (EDW) to lead our segment-facing data delivery teams. This role oversees seven agile teams, each led by a manager, supporting critical areas such as consumer and commercial banking, payments, regulatory reporting, risk management, fraud analytics, and customer insights.

You will help define the strategic roadmap for the EDW and be accountable for delivering high-impact, compliant, and scalable data solutions. This role requires close collaboration with other EDW leaders as well as business and technology stakeholders to understand and support their evolving needs.

The ideal candidate will bring deep expertise in modern cloud-based data platforms, agile delivery frameworks, and leadership experience in highly regulated environments.

This role is in the office at least 4 days per week.

Duties and Responsibilities:

Lead a team of 7 data engineering managers and an organization of approximately 90 colleagues and contractors, providing strategic direction, coaching, and technical oversight.Drive agile execution, ensuring consistent velocity, transparency, and stakeholder engagement.Collaborate with business leaders, product managers, and technology partners to prioritize initiatives and deliver measurable outcomes.Execute the EDW technology strategy, ensuring alignment with enterprise goals and segment priorities.Champion a data-driven culture that emphasizes quality, agility, and innovation.Partner with data governance, risk, and compliance teams to ensure data integrity, lineage, and auditability.Support regulatory reporting and internal audit requirements through robust data practices.Communicate progress, risks, and strategic direction to executive leadership and stakeholders.Drive continuous improvement across the team, enabling more efficient delivery and modern architecture.Stay ahead of emerging technologies and assess their potential impact on the data ecosystem.Perform other duties as assigned.

Basic Qualifications:

Bachelor’s degree in computer science, information systems or a related field.10+ years of related experience leading data warehouse teams.

Preferred Qualifications:

Proven experience leading large-scale data warehouse teams in a regulated industry, preferably banking or financial services.Strong technical background with hands-on knowledge of Snowflake, AWS, DataStage and/or Python.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.Experience implementing test automation in a data warehouse environment.Excellent communication skills and ability to communicate with technical and non-technical partners, across all levels of the organization.Excellent critical thinking, problem solving, and analytical ability.

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

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters:  Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.