Director, Data Platform

🕒 September 18

🚗 Michigan – Remote

🚗 Michigan – Remote

💵 $208.8k - $347.9k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Credit Acceptance

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Credit Acceptance is a company that specializes in providing auto financing solutions to individuals, including those with bad credit history or no credit history at all. With over 50 years of experience, Credit Acceptance has helped more than 4 million consumers secure financing for vehicle purchases. The company operates a network of over 15,000 dealers and offers customers the ability to pre-qualify for auto financing, which does not impact their credit score. Furthermore, Credit Acceptance provides educational resources and tools, such as payment and auto price calculators, to assist customers in managing their finances and understanding their credit options. The company's mission is to drive possibility by offering financial solutions that give individuals the opportunity to improve their financial situation and secure reliable transportation.

📋 Description

• 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

• 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

• 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

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