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Data Warehouse Senior Manager

Pay
Pay not listedSimilar roles state $154K–$226K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Lead a cross-functional agile team delivering data warehouse projects

  • Translate Data Architect designs into implemented physical data models

  • Manage data in the warehouse for platform efficiency

  • Support incident resolution and continuous improvement

  • Assess demand, impact and effort for data warehouse work

From the employer’s posting
Lead a cross functional agile team to deliver on projects
Understand and translate the technical design from the Data Architect team into implemented physical data models
Manage data within the data warehouse to ensure efficiency of platform.
Support incident resolution and continuous improvement to drive efficiency across multiple operational run metrics.
Participate in demand management and planning, assessing impact, feasibility and estimating work effort.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree
  • Experience with AWS and Snowflake
  • Experience with data governance and data quality

Preferred experience

  • Deep understanding of enterprise data warehousing best practices for technical implementation and providing business value.
  • 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 traditional data architecture: operational data stores, sourcing and staging data, data integration, master data management, dimensional/snowflake and de-normalized design, managed views, datamarts and analytical sandboxes.
Qualification wording
Bachelor's Degree
Experience with cloud technologies including AWS and Snowflake.
Experience with data governance and data management approaches, including data quality.
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 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 traditional data architecture: operational data stores, sourcing and staging data, data integration, master data management, dimensional/snowflake and de-normalized design, managed views, datamarts and analytical sandboxes.
Education & alternatives
Basic Qualifications: - Bachelor's Degree - 10+ years of hands-on experience in multi-terabyte data warehousing engineering projects.
Apply at Huntington Bancshares

Posting record

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Open 4 monthsWe first saw this posting 135 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 29, 2026135 days ago
Recorded sightings
251
Last seen by us
Nov 12, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$226K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,103 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 135

Up longer than most. Similar jobs usually come down between day 8 and day 57.

Well past Huntington Bancshares’s usual: its jobs come down by about day 22.

From 9,248 similar postings that came down, and 64 of Huntington Bancshares’s. Coming down is not always a hire.

Huntington Bancshares is hiring

11 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • AWS
  • Snowflake
  • PySpark
Where the posting names them
- Experience with cloud technologies including AWS and Snowflake. - Experience with DataLake, Python/PySpark, Erwin Enterprise Data Modeler. - Experience with data governance and data management approaches, including data quality.
- Experience with traditional data architecture: operational data stores, sourcing and staging data, data integration, master data management, dimensional/snowflake and de-normalized design, managed views, datamarts and analytical sandboxes. - Experience with cloud technologies including AWS and Snowflake. - Experience with DataLake, Python/PySpark, Erwin Enterprise Data Modeler.
- Proven ability to take requirements and logical designs and translate them into physical implementation, informed by business and enterprise requirements. - Experience with traditional data architecture: operational data stores, sourcing and staging data, data integration, master data management, dimensional/snowflake and de-normalized design, managed views, datamarts and analytical sandboxes. - Experience with cloud technologies including AWS and Snowflake.

Your next step

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About Huntington Bancshares

People
About 20,450 in 2024.Benefit plan filings (Form 5500)
Company
Listed as HBAN.

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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 12-15 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 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, providing thought leadership and technology oversight.
  • ·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.

Basic Qualifications:

  • Bachelor's Degree
  • 10+ years of hands-on experience in multi-terabyte data warehousing engineering projects.
  • 7+ years of experience as a technology manager for data warehouse teams.

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 traditional data architecture: operational data stores, sourcing and staging data, data integration, master data management, dimensional/snowflake and de-normalized design, managed views, datamarts and analytical sandboxes.
  • Experience with cloud technologies including AWS and Snowflake.
  • Experience with DataLake, Python/PySpark, Erwin Enterprise Data Modeler.
  • 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:

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.

Source details

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Pay

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Location & working pattern

Columbus, OH

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.
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