Director, Data Platform

Credit Acceptance

. Provide technical and architectural leadership within the data engineering organization .

Posted 9/18/2026full-timeRemote • Michigan • United StatesLead💰 $208,761 - $347,935 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing data platform strategies, with a strong focus on AI success and scalable architecture. Proven ability to lead engineering teams, communicate effectively with stakeholders, and drive continuous improvement in data technologies and practices.

Highest-signal resume keywords

Data Platform StrategyAI Success EnablementSoftware Engineering Best PracticesBig Data Real-Time SystemsCloud Computing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IntegrationData TransformationData GovernanceBusiness IntelligenceData WarehousesData LakesNoSQLStreaming TechnologiesMicroservices ArchitecturesAgile Methodologies

Soft Skills

LeadershipMentoringCommunicationCollaborationCoaching

Tools & Technologies

Data PlatformsEnterprise ArchitectureFinOps DisciplineForecasting ToolsRuntime Analysis

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceAccredited Institution Certification

Industry Keywords

Financial ServicesFinTechEnterprise-Class Data PlatformsDistributed SystemsTechnical Due Diligence

Tech Stack

Tools & technologies

CloudDistributed SystemsMicroservicesNoSQL

About the role

Key responsibilities & impact

Provide technical and architectural leadership within the data engineering organization
Develop and drive the long-term vision for enterprise data platforms and architecture
Formulate and implement data platform strategy across big data, real-time, transaction/operational, and governance domains
Oversee architecture, design, and development of scalable data platforms enabling self-service use cases and AI success
Ensure production success, establish FinOps discipline, and optimize economics through forecasting, runtime analysis, and showback
Communicate data technologies, strategies, roadmaps, and progress to executive leadership and stakeholders
Monitor industry trends and translate emerging technologies into actionable initiatives
Build a strong engineering organization and foster engineering discipline through leadership and mentoring
Collaborate with data and engineering teams on technology and architecture strategy and decisions
Contribute to critical system design, implementation, and operational success
Formulate technology and architecture decision frameworks
Develop business-process expertise to align technology with business outcomes
Work with engineering leadership to execute company technical and business strategy
Conduct impact analyses across multiple 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
Participate in hiring and mentor team members

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 platform, 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 data technology end to end, including source systems, data integration, data acquisition, data ingestion, data transformation, data aggregation, data governance, business intelligence, data warehouses, data lakes, NoSQL, object storage, streaming, and related technologies
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
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
Required degrees must have been earned at institutions accredited by the Council for Higher Education Accreditation or equivalent
Financial services or FinTech industry experience preferred

Benefits

Comp & perks

Annual variable bonus of cash and equity, between 20-60%
401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical, dental, and vision
Many nonstandard benefits
Potential premium on top of the posted range for eligible candidates in San Francisco, Seattle, Boston, New York City, Los Angeles, and San Diego metropolitan areas