Manager - Data Engineering
About The Position
Ally Financial is seeking a Manager - Data Analytics to lead within its data technologies development and management space. The role manages a team of data technologies developers responsible for delivering and maintaining applications that support Ally’s operations. The ideal candidate has hands-on experience implementing cloud data warehouses, data lakes, analytics, and master data management solutions, along with data ingestion and preparation, data quality, structured and unstructured data processing, relational and NoSQL applications, API development, advanced analytics, and business intelligence. Experience with self-service data capabilities, data management and governance, data modeling, and data architecture is also beneficial. The manager coordinates developers and analysts through software development lifecycle work, from technical analysis and requirements gathering to technical specifications and design. The role supports system integration, reporting, and operational functions within the Ally Insurance data ecosystem, including interface troubleshooting, vendor coordination, and system configuration.
Requirements
- At least 7 years of relevant experience; 8+ years of data management and data analysis experience is preferred.
- Bachelor’s degree in a relevant field or equivalent; a degree in Computer Science, Information Systems, or another relevant field is preferred.
- Experience related to data warehousing design and development.
- Strong knowledge and experience with one or more SDLC methodologies or principles, such as Agile, SCRUM, or Kanban.
- Strong requirements gathering and design abilities.
- Strong analytical skills, verbal and written communication skills, and ability to multitask.
- Extensive hands-on experience designing and delivering cloud-based data solutions on AWS, including S3, AWS CLI, Lambda, and DynamoDB.
- Strong experience with data engineering and integration tools such as dbt, Qlik Replicate, InfoSphere DataStage, and CP4D.
- Expertise in data modeling, including Data Vault, and designing scalable, auditable, and resilient data structures for enterprise analytics, reporting, and AI use cases.
- 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 for enterprise data engineering.
- 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 ability to embed these practices in engineering solutions.
- Ability to work independently and provide technical direction across multiple initiatives and technologies.
Nice To Haves
- Insurance business data domain knowledge.
- Experience with modern self-service data capabilities, data management and governance, data modeling, and data architecture.
Responsibilities
- Manage developers and analysts and coordinate SDLC tasks to design and deliver solutions for system integration, reporting, and support functions.
- Conduct technical analysis of interfaces, files, databases, and reports.
- Gather and analyze requirements.
- Create technical specifications.
- Provide technical design and define technology changes for systems and their integrations within the Ally Insurance data ecosystem.
- Develop high-level and low-level designs for system interfaces.
- Troubleshoot and support system interfaces.
- Engage with clients at a moderate level.
- Manage vendors for incident resolution and system enhancement work.
- Configure systems and applications.
- Lead, mentor, and manage individual contributors.
- Lead end-to-end solution delivery and provide technical direction across initiatives and technologies.
Benefits
- Market-competitive base pay and performance-based annual incentives.
- At least 20 paid time off days, 11 paid holidays, and 8 hours of annual volunteer time off; amounts may be prorated and vary by status and management level.
- 401(k) retirement savings plan with matching and company contributions.
- Student loan paydown and 529 educational savings assistance programs.
- Tuition reimbursement.
- Employee stock purchase plan.
- Financial learning center and access to financial coaches.
- Medical, dental, and vision insurance options.
- Employee, spouse, and child life insurance.
- Short- and long-term disability insurance.
- Health Savings Account with employer contributions and Healthcare FSA.
- Critical illness, accident, and hospital indemnity insurance.
- Total well-being program.
- Adoption, surrogacy, and fertility assistance.
- Paid parental and caregiver leave.
- Dependent Day Care FSA, backup child and adult/elder care days, and childcare discounts.
- Employee Assistance Program.
- Subsidized and discounted Weight Watchers program and other employee discount programs.
- Depending on the role, potential travel allowances, relocation assistance, signing bonus, and/or equity.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
