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, Lambda)
- Experience with orchestration and transformation frameworks (e.g., Airflow, dbt, Dagster)
- Strong understanding of data governance, lineage, and quality frameworks
- Experience in financial services or FinTech
Knowledge and Skills:
- Ability to lead teams delivering large-scale, complex data initiatives
- Strong business acumen and ability to connect technical decisions to business outcomes
- Proven ability to mentor engineers and elevate team performance
- Excellent communication and stakeholder management skills
- Demonstrated ability to drive change, challenge the status quo, and deliver results
CTC Range: ₹ 71,31,986 - ₹ 1,04,60,246
Total Compensation (CTC): Final CTC will be shared during the offer stage and will include all compensation components in detail as per EoR vendor's structure.
Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications.
This role is hired through an Employer of Record (EoR) partner in India.
You will be legally employed in India through our EoR partner
While your legal employer is the EoR partner, you will work full-time and be fully aligned to Credit Acceptance
Your day-to-day work, responsibilities, and performance expectations will be consistent with our global team members
You will receive locally compliant payroll, benefits, and statutory coverage through the EoR partner
Our Company Values:
To be successful in this role, Team Members need to be:
Positive by maintaining resiliency and focusing on solutions.
Respectful by collaborating and actively listening.
Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions.
Direct by effectively communicating and conveying courage.
Earnest by taking accountability, applying feedback and effectively planning and priority setting.
Expectations:
Regularly overlap with U.S. business hours to support collaboration with global team members.
Remain compliant with our policies, processes and guidelines
All other duties as assigned
Attendance as required by department
