• Coordinate planning and execution of special projects directed by VHA Leadership Offices • Align initiatives with enterprise priorities and leadership directives • Establish and manage an intake process for new initiatives and special projects • Develop and maintain executive dashboards and tracking tools to provide real-time visibility into leadership actions • Deliver executive-level status reporting using standardized formats (e.g., Green/Yellow/Red) • Generate data-driven insights to support high-priority strategic initiatives • Maintain visual management boards and portfolio tracking for executive stakeholders • Provide a consolidated portfolio view of all DUSH-led initiatives • Support development of executive briefings, reports, and presentation materials • Integrate reporting tools with enterprise collaboration platforms where applicable

Credit Acceptance is proud to be an award-winning company with local and national 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 nationally. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! The Senior Analyst, Predictive Analytics and Machine Learning designs, develops, and maintains statistical and machine learning models that support high‑impact business decisions across pricing, credit risk, and other areas. This role is a hands‑on, advanced individual contributor position focused on rigorous analysis, model development, and production performance monitoring, with strong partnership across business and technical stakeholders. Outcomes and Activities: - This position will work from home; occasional planned travel to our Southfield, Michigan office may be required. However, this position is permitted to work at our Southfield, Michigan office if requested by the team member. - Develop and maintain complex statistical and machine learning models that optimize high‑volume, data‑driven decisions and deliver measurable business value. - Actively monitor models in production, identify performance degradation or data issues, and recommend corrective actions or enhancements. - Develop complex SQL and analytical code to extract, transform, and validate large, multi‑source datasets used for modeling, reporting, and decision support. - Perform ad hoc and exploratory analyses to address business questions, evaluate trade‑offs, and inform policy or strategy decisions. - Translate high‑level business objectives into analytical tasks, technical specifications, and modeling approaches. - Ensure data quality, consistency, and suitability for modeling; support testing, validation, and implementation activities required for production deployment. Requirements: - Bachelor’s degree or higher in a quantitative field (e.g., statistics, mathematics, economics, engineering, computer science, or related discipline). - 3+ years of experience applying analytical and programming skills in a business or research environment. - Proficiency in one or more analytical and programming languages such as Python, SQL, R, or SAS. - Strong analytical problem‑solving skills with the ability to apply quantitative methods creatively to business problems. - Expertise in extracting, manipulating, and analyzing large‑scale datasets. Preferred: - Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS). - Experience developing or supporting predictive models such as credit scorecards, pricing models, or collections strategies. - Experience in financial services analytics or a related regulated, data‑intensive industry. - Familiarity with model performance monitoring, validation concepts, and production analytics. Targeted Compensation: $128,000 - $165,000 base salary + an annual bonus plan This position is not currently open to individuals who require sponsorship now or in the future to work legally for Credit Acceptance, such as H-1b / H-4 or F-1 OPT visa holders. #LI-Remote #zip INDCSLP Benefits - Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work 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: - Remain compliant with our policies processes and legal guidelines - All other duties as assigned - Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We’re proud of our culture and are happy to share why – let’s talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic. California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you. Play the video below to learn more about our Company culture.

The next part of your journey is right around the corner — with The Standard. A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a customer-first mindset and an intentional focus on building strong teams, we’ve been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture focused on operational excellence thrives thanks to remarkable people united by compassion and a customer-first commitment. Are you ready to make a difference? The Retirement Plans (RP) organization at The Standard is seeking a Manager, Data Strategy and Analytics to lead data strategy, governance, and analytics in support of long-term growth objectives. This role is accountable for establishing the strategic vision, operating model, and measurement framework for retirement plans data—enabling data-driven decision-making that improves sales productivity, operational efficiency, and return on investment. In this role, you will partner closely with Sales, Sales Enablement, and Technology teams to deliver executive-level insights, influence sales behavior, ROI and ensure scalable, trusted analytics across the organization. Success is driven through disciplined analytics, strong cross-functional collaboration, and leadership that turns data into actionable business outcomes. Key responsibilities include: - Delivering strategic analytics and executive-level insights that inform business decisions, sales investments, and partner strategies - Translating complex data into actionable insights that improve sales effectiveness, field engagement, and operational efficiency - Leading the retirement plans data strategy and governance model to ensure data accuracy, consistency, and trust - Partnering with Sales Enablement and leadership to optimize sales lead strategy, performance, and conversion outcomes - Collaborating with technology partners to align tools, systems, and architecture with business objectives - Identifying opportunities to streamline processes, automate workflows, and enhance analytical capabilities - Leading and developing a team through coaching, performance management, and talent development ​ Skills and Background You’ll Need Required: - Bachelor’s degree in Business, Finance, Accounting, Data Science, or a related field, or equivalent experience - 8+ years of progressively responsible experience in financial services or a related industry - Demonstrated experience leading data strategy, analytics, or business intelligence initiatives - Proven ability to influence senior leaders and cross-functional partners using data-driven insights - Experience managing and developing teams, including performance management and coaching ​ Preferred: - Experience in the retirement plans, investment, or brokerage industry - Familiarity with analytics and reporting tools such as Salesforce, SQL, Power BI, Python, or similar technologies ​ Key Behaviors of a Successful Candidate - Strategic and analytical thinking with the ability to connect data to business outcomes - Strong leadership skills with a focus on talent development and accountability - Effective collaboration and relationship-building across diverse stakeholder groups - Clear, confident communication with the ability to influence at the executive level - Adaptability and continuous improvement mindset in a data-driven environment #LI-Remote Why Join The Standard? We have built an enduring legacy of stability, financial strength and exceptional customer service through the contributions of the service-oriented people who choose to work at The Standard. To ensure we can attract and retain the best talent, when you join The Standard you can expect: - A rich benefits package including medical, dental, vision and a 401(k) plan with matching company contributions - An annual incentive bonus plan - Generous paid time off including 11 holidays, 2 wellness days, and 8 volunteer hours annually — PTO increases with tenure - A supportive, responsive management approach and opportunities for career growth and advancement - Paid parental leave and adoption/surrogacy assistance - An employee giving program that double matches your donations to eligible nonprofits and schools In addition to the competitive salary range below, our employee-focused benefits support work-life balance. Learn more about working at The Standard. - Eligibility to participate in an incentive program is subject to the rules governing the program and plan. Any award depends on a variety of factors including individual and organizational performance. - Performance guarantees may be applied to roles with highly incentivized compensation plans for a specified period of time to support a new hire’s transition into the sales incentive plan. ​ Compensation is made up of a base salary, incentives, and/or other bonuses when applicable. This is a minimum range that can be increased based on performance and sales activity. Salary Range: $97,750.00 - $156,250.00 Positions will be posted for at least 5 days from original posting date. Standard Insurance Company, The Standard Life Insurance Company of New York, Standard Retirement Services, Inc., StanCorp Mortgage Investors, LLC, StanCorp Investment Advisers, Inc., and American Heritage Life Insurance Company and American Heritage Service Company, marketed as The Standard, are Affirmative Action/Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, national origin, gender identity, sexual orientation, age, disability or veteran status or any other condition protected by federal, state or local law. Except where precluded by state or federal law, The Standard will consider for employment qualified applicants with arrest and conviction records pursuant to the San Francisco Fair Chance Ordinance. The Standard offers a drug- and alcohol-free work environment where possession, manufacture, transfer, offer, use of or being impaired by an illegal substance while on The Standard's property, or in other cases which the company believes might affect operations, safety or reputation of the company is prohibited. The Standard requires a criminal background investigation and employment, education and licensing verification as a condition of employment. After any conditional offer of employment is made, the background check will include an individualized assessment based on the applicant’s specific record and the duties and requirements of the specific job. Applicants will be provided an opportunity to explain and correct background information. All employees of The Standard must be bondable.

• Manage and troubleshoot data integration: Resolve SIS-to-product integration issues, write and update extract scripts, and configure import processes to ensure seamless data flow. • Perform database operations: Execute updates, merges, deletions, and imports within established parameters while maintaining data integrity. • Ensure data quality: Conduct thorough quality control checks, investigate discrepancies, and resolve data errors resulting from integration failures. • Support customers: Respond to escalated data support cases, provide guidance on ETL processes and data specifications, and delivery clear status updates on issue resolution. • Collaborate effectively: Partner with product, engineering, and cross-functional teams to address complex data integration challenges and business rule requirements.