Senior Manager – Data Engineering and AI

Columbus, NE - USA

Monthly Salary: Not Disclosed

Posted on: 4 days ago

Vacancies: 1 Vacancy

Job Summary

Description

When you mentor and advise multiple technical teams and move financial technologies forward its 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.

Required Experience:

Senior Manager

DescriptionWhen you mentor and advise multiple technical teams and move financial technologies forward its 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 responsibl...

Description

When you mentor and advise multiple technical teams and move financial technologies forward its a big challenge with big impact. You were made for this.

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.

Required Experience:

Senior Manager

Key Skills

Data Center Experience
ArcGIS
Cloud Infrastructure
Construction Estimating
Go
Mathcad
React
Redux
AWS
Software Development
Auto Estimating
Distributed Systems

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About Company

JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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