Chase · 4 weeks ago
Senior Manager – Data Engineering and AI
1111 Polaris Pkwy, Columbus, OH, 43240, US
Full-time
Onsite
Senior Level, Lead/Staff
10+ years expChase is a leading financial services firm, and they are seeking a Senior Manager of Data Engineering and AI. In this role, you will lead a team focused on designing and optimizing data pipelines while leveraging AI technologies to drive business value.
BankingFinancial Services
Responsibilities
Provide overall direction, oversight, and coaching for a team of senior data engineers and database experts working on complex, high-volume data integration and transformation projects
Accountable for decisions that influence team resources and the execution of data engineering strategies, ensuring alignment with business objectives and data governance standards
Stay current with advancements in AI and Gen AI, evaluating new tools and techniques for potential adoption
Guide teams in the design, development, and optimization of robust ETL pipelines, data workflows, and database solutions to support analytics and AI initiatives
Foster a culture of innovation, continuous improvement, and technical excellence, while promoting diversity, equity, and inclusion
Proactively identify and resolve team conflicts and operational issues, escalating as necessary to ensure project success and team well-being
Collaborate with cross-functional stakeholders, including analytics and AI teams, to enable data-driven decision-making and support new use cases
Identify opportunities to leverage AI and Generative AI technologies to enhance data engineering solutions and drive business value
Oversee the implementation of best practices in data quality, data governance, and operational monitoring for large-scale data environments
Champion Agile and DevOps methodologies to accelerate the development and deployment of data solutions
Qualification
Required
10+ years of experience in Data Engineering, Database Management, Software Engineering, or a related field, with a proven track record of leading senior technical teams
Advanced degree in Computer Science, Data Engineering, Information Systems, or equivalent field
Proven ability to understand, interpret, and work with complex data models
Deep expertise in designing, building, and optimizing ETL pipelines, data workflows, and large-scale database solutions (e.g., Oracle, SQL Server, PostgreSQL, NoSQL)
Strong experience with big data technologies (Spark, Databricks) and cloud platforms (AWS, Azure, GCP)
Hands-on experience with AI and machine learning concepts, including practical exposure to Generative AI technologies (such as large language models, generative adversarial networks, or similar)
Proficient in at least one programming or scripting language (e.g., Python, Java, SQL)
Demonstrated experience managing and developing high-performing teams, including conflict resolution and talent development
Strong understanding of Agile methodologies, CI/CD, and modern software development practices
Exceptional communication skills, with the ability to influence and collaborate across all levels of the organization
Preferred
Experience working with data intensive SDLC tools such as Jira, Bitbucket etc. with a deep understanding the complex data models
Experience with cloud-based monitoring and operations tools (e.g., Data Dog, Splunk, Grafana)
Experience working at code level and with modern infrastructure-as-code tools (e.g., Terraform, Jenkins)
Strong business acumen and ability to translate business needs into technical solutions
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
Recent News
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