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Huntington Bancshares Incorporated is looking for a Data Engineering Lead to manage and own the data infrastructure for key areas of the bank's balance sheet, aiming to improve asset and liability management (ALM) decision-making, identify risks, and mitigate interest rate risk (IRR).

Requirements

• 10+ years of related experience in data management disciplines including data integration, modeling, optimization, and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
• 10+ years of technical leadership and experience with data-centric products, experience with database programming languages, and with advanced analytics tools
• Expert experience with data engineering tooling (e.g., SQL, Python, AWS)
• Hands on experience implementing data models in Financial Services cashflow forecasting engines, including QRM, Bankware, Empyrian, or others.
• Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets.
• Strong experience with various Data Management architectures and processes
• Strong knowledge of BI and/or Tableau software tools

Responsibilities

• Lead Data Engineers projects and efforts and manage a group of data engineers who focus on certain portfolios on balance sheet and infrastructure.
• Leads the architecting, creating, and maintaining of data pipelines.
• Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization.
• Work in partnership with data source teams outside the department, analytics teams in Treasury in refining data delivery and governance.
• Plans and ensures the execution of work, and achievement of team goals.
• Help set the strategy and tone for data engineering strategy and vision for the future.
• Anticipates and analyzes trends in technology while assessing the emerging technology’s impact(s).

Other

• Bachelor's Degree in computer science, statistics, related fields, or relevant work experience in financial institutions
• Master's degree in computer science, statistics, or related fields
• Learn and/or Agile methodology.
• Demonstrated ability to influence both technical and non-technical audiences.
• Demonstrated participation and leadership in the broader technology community.