Senior Manager Software Engineering, Data (Employer of Record)

Credit Acceptance is proud to be an award-winning company with workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies in the United States.

In this role, you will work as a dedicated member of a globally distributed team, partnering closely with business partners in the U.S. to design, build, and scale solutions that directly impact our customers and operations. While your legal employer will be our EoR partner, you will be fully integrated into our Credit Acceptance team for day-to-day work and collaboration.

As a Senior Manager, Software Engineering – Data, you will lead a team of engineers responsible for designing and delivering scalable, reliable, and high-quality data platforms, pipelines, and models across batch and streaming architectures. You will balance people leadership, delivery execution, and strategic direction, ensuring alignment between business priorities and technical solutions.

You will be accountable for team performance, engineering excellence, and domain outcomes, while fostering a high-performing, collaborative, and continuously improving engineering culture. This role serves as a critical bridge between business strategy and technical execution, ensuring the organization’s data capabilities scale to meet evolving needs.This position will work remotely from India

Outcomes and Activities

Team Leadership & Development

Lead, coach, and develop a team of data engineers, providing clear direction, feedback, and career growth opportunities

Foster a culture of ownership, accountability, and continuous learning

Drive strong engagement through effective 1:1s, performance management, and team development planning

Ensure the team operates with a One Team mindset, collaborating effectively across functions

Delivery & Execution

Own the successful delivery of end-to-end data pipelines and platform capabilities across batch and streaming architectures

Ensure high standards for data quality, scalability, reliability, and observability

Drive execution against priorities, balancing speed, quality, and technical sustainability

Partner with Product, Analytics, and Business teams to ensure delivery aligns with business needs

Technical Leadership & Architecture Oversight

Provide architectural guidance and technical direction across the data domain

Ensure adherence to engineering standards, best practices, and design principles

Anticipate risks related to performance, scalability, and data quality and proactively mitigate them

Support the adoption of modern data technologies and frameworks

Strategy & Alignment

Translate business strategy into clear technical priorities and execution plans

Ensure alignment between long-term data platform strategy and near-term delivery goals

Lead prioritization discussions, balancing competing demands and resource constraints

Drive cross-functional initiatives that elevate the organization’s data capabilities

Engineering Excellence & Continuous Improvement

Champion coding standards, testing practices, and CI/CD adoption to ensure high-quality, production-grade systems

Promote a culture of experimentation, continuous improvement, and innovation

Lead efforts to improve team processes, system design, and delivery efficiency

Ensure strong documentation and maintainability of systems

Stakeholder Management & Communication

Serve as the primary point of contact for stakeholders within the data domain

Communicate progress, risks, and outcomes clearly to both technical and non-technical audiences

Build strong cross-functional relationships to enable effective collaboration

Competencies

The following items detail how you will be successful in this role.

Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience.

Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions.

One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively.

Owner’s Mindset: Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or related field; or equivalent experience

6+ years of software engineering experience, with strong expertise in data platforms and systems

6+ years of people leadership experience managing engineering teams

Strong background in

Data Lake and Lakehouse architectures

Data engineering and pipeline development (batch and streaming)

Programming (Python, SQL, PySpark) and data modeling

Cloud data platforms and distributed systems

Experience delivering enterprise-scale data solutions

Demonstrated ability to lead teams in Agile environments

Preferred

Experience with modern data platforms (e.g., Databricks, Spark, Kafka)

Familiarity with AWS data services (e.g., S3, Glue