Data Management Operations Lead
Columbus, Franklin County, Ohio, 43224, USA
Listed on 2026-10-05
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IT/Tech
Data Analyst, Change Management -
Business
Data Analyst, Change Management
The Data Management Operations Lead is responsible for delivering high-quality data services and operational support for the enterprise, with a high level of technical skills.
Duties and Responsibilities- Works with business partners and team to understand requirements for data use, analysis, and quality. Maintains knowledge of the legal, compliance and regulatory issues impacting data.
- Lead and manage assigned functions on Data Operations Management team, as well as the execution of assigned data management tasks and projects.
- Drive initiatives to enhance data quality and process improvement.
- Collaborate with senior leadership to align data management strategies with business objectives.
- Coaches individuals through change and serves as role model and may mentor other team members.
- Performs other duties as assigned.
- Bachelor’s Degree (Computer Science, Business Administration, Economics, or related fields) or equivalent relevant work experience.
- 7+ years experience with data-related operations, business operations or process support role
- 7+ years of experience with data-related operations, business operations, or process support roles, working with or in business operations and reporting processes, and translating business data needs into technical language and partnering with team and technical partners ensure effective solution delivery.
- Demonstrated experience with SQL and Tableau
- Excellent communication and collaboration skills.
- Strong analytical thinking with the ability to identify and build sustainable solutions.
- Thorough knowledge of various software programs including Microsoft Office programs, and the ability to quickly learn new programs/systems.
- Strong interpersonal, communication and listening skills
- Strong problem-solving skills, focusing on outcomes and results.
- Understanding of Data Management principles, best practices and processes
- Proven experience leading data operations teams or initiatives in a complex, enterprise environment.
- Experience managing cross-functional stakeholders and influencing without direct authority.
- Demonstrated success in designing and implementing scalable, efficient workflows and controls.
- Experience with operational risk management and compliance in a regulated industry.
- Track record of leading process improvement initiatives using methodologies such as Lean, Six Sigma, or Agile.
- Professional certifications such as:
- CDMP (Certified Data Management Professional) – demonstrating expertise in data governance, quality, and architecture.
- DGSP (Data Governance and Stewardship Professional) – highlighting experience in stewardship and governance frameworks.
- PMP (Project Management Professional) – indicating strong project leadership and delivery skills.
- Hands‑on experience with enterprise data management tools, such as:
- Collibra or Alation for data governance and cataloging.
- Informatica, Talend, or Ataccama for data quality and integration.
- Snowflake, Databricks, or Big Query for cloud‑based data operations.
Yes = not eligible for overtime pay (No = eligible for overtime pay)
Workplace TypeOffice
Our Approach to Office Workplace TypeCertain 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:
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