Senior Manager – Data Engineering and AI
Company: JPMorganChase
Location: Columbus
Posted on: April 2, 2026
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Job Description:
Description When you mentor and advise multiple technical teams
and move financial technologies forward, it’s a big challenge with
big impact. You were made for this. As a Senior Manager of Data
Engineering, you will lead and mentor a team of experienced data
engineers and database specialists responsible for designing,
building, and optimizing large-scale data pipelines and ETL
processes. You will also champion leveraging AI and machine
learning technologies driving advanced analytics and business
value. You will provide strategic direction, technical guidance,
and operational oversight, ensuring the reliable delivery and
transformation of high-volume data assets. Your leadership will
foster collaboration, resolve conflicts, and drive innovation in
data engineering practices, while supporting the enablement of AI
and analytics initiatives across the organization. Job
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. Required qualifications, capabilities, and skills
??Formal training or certification on software engineering concepts
and 5 years applied experience. 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 qualifications, capabilities, and skills 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.
Keywords: JPMorganChase, East Lake , Senior Manager – Data Engineering and AI, IT / Software / Systems , Columbus, Florida
