Manager - Data Engineering

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 and Your Career Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We love this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?

Work Schedule

Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need.

The Opportunity

Are you passionate about data, architecture, software development and analytics possess first‑hand experience with cloud data platforms, cloud technologies, data warehousing, data integration, and API development? Do you believe in modern software development methods, teamwork, creativity and collaboration within a diverse development environment to produce the next generation of data‑analytics platforms and services? If so, then we are interested in talking to you! Ally is seeking a Manager - Data Analytics to be a leader within Ally's data technologies development and management space. The ideal candidate will have personal experience implementing cloud data warehouse, data lakes, data analytics, and master data management solutions, including data ingestion, data homogenization - data preparation, data quality checking and management, structured and unstructured data processing, relational and no SQL data processing and applications, API development, advanced analytics, and business intelligence. Experience with modern self‑service data capabilities, data management and governance, data modeling, and data architecture is also a plus. Responsible for managing a team of data technologies developers focused on delivering and maintain several applications that support Ally's operations. Candidates having strong analytical skills, hands on development experience, strong SQL skills, ability to multi‑task, and strong verbal and written communication skills will be best suited for the team. At this time, Ally will not sponsor a new applicant for employment authorization for this position.

The Work Itself

Managing developers and analysts to coordinate and SDLC tasks to design and deliver solutions for system integration, reporting and support functions.

Technical analysis of interfaces, files, databases and reports.

Requirements gathering and analysis.

Creation of technical specifications.

Technical design along with definition for technology changes relative to the systems (and integration of those systems) 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.

Qualifications

• 8+ years of data management and data analysis experience preferred.
• Bachelor's degree in Computer Science, Information Systems, or other relevant field of study preferred.
• Experience related to data warehousing design and development.
• Strong knowledge and experience with one or more SDLC methodologies and/or principles such as Agile, SCRUM, Kanban or other.
• Ability to lead, mentor and manage individual contributors.
• Strong requirements gathering and design abilities.
• Strong analytical skills.
• Strong verbal and written communication skills.
• Ability to multi‑task.
• Extensive hands‑on experience designing and delivering cloud‑based data solutions on AWS, including services such as S3, AWS CLI, Lambda, and DynamoDB.
• Strong experience with modern data engineering and integration tools such as dbt, Qlik Replicate, InfoSphere DataStage, and CP4D.
• Deep expertise in data modeling, including Data Vault, and in designing scalable, auditable, and resilient data structures that support enterprise analytics, reporting, and AI use cases.
• Proven experience architecting and optimizing large‑scale data ingestion, transformation, cleansing, standardization, and deduplication processes across complex data environments.
• Strong programming and automation skills in Python and other scripting languages used to support enterprise data engineering solutions.
• Demonstrated experience leading the design and implementation of enterprise data pipelines using Git, DevOps practices, and modern software engineering approaches.
• Strong background in large‑scale data integration, API development, and data migration across distributed systems and platforms.
• Deep understanding of data governance, data management, metadata, lineage, and data security, with the ability to embed these