Director, Data Platform

Credit Acceptance

. Develop and drive the long-term vision for enterprise data platforms and architecture, aligned with business growth and AI success .

Posted 10/23/2026full-timeUnited StatesLead💰 $250,513 - $350,718 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing enterprise data platforms and architecture, with a strong focus on AI success and business alignment. Proven ability to lead engineering teams, mentor talent, and drive adoption of software engineering best practices in a fast-paced environment.

Highest-signal resume keywords

Enterprise Data Platform DevelopmentAI Success ImplementationSoftware Engineering Best PracticesLeadership in Data ArchitectureBig Data Production Systems

ATS Keywords

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Hard Skills

Software EngineeringData IntegrationData TransformationData GovernanceBusiness IntelligenceData WarehousingNoSQLCloud ComputingMicroservices ArchitectureAgile Methodologies

Soft Skills

CommunicationMentoringCollaborationLeadershipProblem-Solving

Tools & Technologies

Data LakesStreaming TechnologiesObject StorageReal-Time SystemsTransaction Systems

Industry Keywords

Financial ServicesFinTechBusiness Process AlignmentTechnical Due DiligenceCompliance

Tech Stack

Tools & technologies

CloudDistributed SystemsMicroservicesNoSQL

About the role

Key responsibilities & impact

Develop and drive the long-term vision for enterprise data platforms and architecture, aligned with business growth and AI success
Formulate and implement data platform strategy across big data, real-time, transaction/operational systems, and governance
Oversee architecture, design, and development of scalable data platforms enabling self-service use cases across the company
Ensure production success, business speed, and FinOps discipline through forecasting, runtime optimization, and showback
Communicate data technologies, strategies, roadmaps, and progress to executive leadership and stakeholders
Monitor industry trends and emerging technologies, translating them into initiatives that drive innovation
Build and lead a strong engineering organization while mentoring team members
Collaborate with data and cross-engineering teams on technology and architecture decisions
Contribute to critical system design, implementation, and operational success
Formulate technology and architecture decision frameworks embedding engineering discipline
Develop expertise in business process domains to align technology with business outcomes
Work with engineering leadership to execute the company’s technical and business strategy
Conduct impact analyses across applications and systems
Perform technical due diligence and architectural assessments of third-party technologies and solutions
Experiment, test ideas, validate assumptions, and recommend solutions
Document standards, best practices, and engineering artifacts
Debug critical production problems and execute solutions across applications and systems
Lead continuous learning and process improvement activities
Participate in hiring and mentor team members
Maintain compliance with policies, processes, and legal guidelines; perform other assigned duties

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience
Minimum 10 years of software engineering experience or comparable depth of experience
Experience in a leadership role overseeing technical direction of data platforms, technology, and architecture
Expert knowledge of software engineering best practices and experience building modern data platforms, products, and solutions, especially enabling AI success
Expert understanding and use of modern end-to-end data technology, including source systems, data integration, data acquisition, data ingestion, data transformation, data aggregation, data governance, business intelligence, data warehouses, data lakes, NoSQL, object storage, and streaming
Extensive experience building and driving adoption of software engineering best practices
Strong understanding of AI, distributed systems, cloud computing, and microservices architectures
Demonstrated success building strong engineering organizations and attracting, recruiting, growing, and retaining talent
Demonstrated success building mission-critical enterprise-class data platforms that deliver business impact
Demonstrated ability to work with business partners and cross-functional team members, and coach and mentor experienced team members
In-depth experience building big-data, real-time production systems that deliver business success
Experience communicating and articulating technology subjects in a business context and providing timely, clear communication
Well versed in delivery mechanisms such as Agile
Must reside in or be willing to relocate to the greater Southfield, Michigan area; greater Bellevue, Washington area; or San Francisco Bay Area, California
Required degrees must be from institutions accredited by the Council for Higher Education Accreditation or equivalent
Financial services or FinTech industry experience preferred

Benefits

Comp & perks

401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical, dental, and vision coverage
Nonstandard benefits
Annual variable incentive of cash and equity, between 20–60%