Hybrid Data Analytics Engineering Manager

4001 Motors Insurance Corp.; New York (NY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Ally Financial is seeking a Manager of Data Analytics to lead a team delivering cloud-based data solutions and analytics capabilities across the enterprise.

The ideal candidate has extensive hands-on experience with AWS data services, data modeling and governance, and a strong track record of delivering scalable data pipelines and BI applications. This leadership role emphasizes collaboration and architectural excellence within a diverse development environment.

Qualifications

• Bachelor's degree in CS, IS, or related field.
• 8+ years in data management and analysis.
• Experience with data warehousing design and development.
• Strong knowledge of SDLC methods (Agile, SCRUM, Kanban).
• Ability to lead and mentor contributors.
• Excellent verbal and written communication.
• Experience with cloud data platforms on AWS.

Responsibilities

• Manage developers and analysts to coordinate SDLC tasks.
• Technical analysis of interfaces, files, databases and reports.
• Requirements gathering and analysis.
• Creation of technical specifications.
• Technical design along with definition for technology changes within the Ally Insurance data ecosystem.
• High-level and low-level design of system interfaces.
• Troubleshooting and support of system interfaces.
• Moderate client engagement.
• Vendor management for incident resolution and for system enhancement work.
• System/application configuration.

Skills

Data management

Data analysis

Leadership/mentoring

SQL

Python

Cloud data solutions (AWS)

Data warehousing

Data modeling (Data Vault)

API development

SDLC / Agile / SCRUM

Multi-tasking

Verbal and written communication

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

AWS S3/Lambda/DynamoDB

dbt

Qlik Replicate

InfoSphere DataStage

CP4D

Git

DevOps practices

Job description

Ally Financial is seeking a Manager of Data Analytics to lead a team delivering cloud-based data solutions and analytics capabilities across the enterprise.

The ideal candidate has extensive hands-on experience with AWS data services, data modeling and governance, and a strong track record of delivering scalable data pipelines and BI applications. This leadership role emphasizes collaboration and architectural excellence within a diverse development environment.