Client Manager, Repair Analytics
Listed on 2026-06-04
-
IT/Tech
Data Science Manager, Data Analyst
Title:
Client Manager, Repair Analytics P4
Location:
Remote – USA
Reports to:
SVP Customer Success – OEM Solutions
Vacancy:
New vacancy
As a Client Manager within the OEM Customer Success organization, you will serve as the data analytics lead and trusted advisor for one or more OEM clients. In this role, you will apply deep analytical expertise and industry knowledge to help clients make informed decisions across automotive quality and warranty reduction. Your work will directly support client satisfaction, retention, and long-term partnership growth.
ImpactYou Will Have
The role directly contributes to OEM vehicle quality and customer satisfaction.
What You’ll Be Doing in This Role- Apply advanced AI and analytics techniques to solve complex data challenges within the automotive industry.
- Analyze and interpret large, complex datasets to identify trends, insights, and opportunities.
- Develop predictive models to diagnose potential vehicle faults and underlying causes.
- Partner with engineering and cross-functional teams to inform vehicle design and manufacturing improvements.
- Translate complex data into clear, actionable insights that support business and client decision-making.
- Create and deliver detailed reports, dashboards, and presentations for stakeholders, including senior leadership.
- Serve as a trusted advisor to OEM clients, ensuring effective use of data and analytics to drive business outcomes.
- Build and maintain strong client relationships, proactively identifying opportunities to support sales, marketing, and product strategies.
- Act as a subject matter expert in automotive quality, warranty reduction, and competitive benchmarking.
- Lead client onboarding, training, and ongoing engagement to maximize value from analytics solutions.
- Continuously enhance analytics approaches by leveraging emerging tools, technologies, and methodologies.
- 2–5 years of experience in automotive, consulting, or data analytics-related roles.
- Bachelor’s or Master’s degree in a relevant field.
- Strong analytical skills with the ability to interpret complex datasets and translate insights into actionable recommendations.
- Advanced proficiency in Excel and PowerPoint, with experience presenting to executive audiences.
- Solid understanding of automotive industry trends and dynamics.
- Preferred Qualifications
- Experience with Palantir Foundry.
- Proficiency in Python, Spark, and SQL.
- Demonstrated ability to integrate and analyze data from multiple, complex sources.
We’re looking for someone who is both analytically sharp and genuinely curious about the automotive industry. In this role, you won’t just analyze data—you’ll turn complex information into clear, actionable insights that influence real business decisions. You should be comfortable working with large datasets, asking the right questions, and communicating your findings in a way that resonates with both technical and executive audiences.
Success in this role comes from balancing strong technical skills with the ability to build relationships. You’ll partner closely with clients and internal teams, so being proactive, collaborative, and solutions-oriented is key. If you’re someone who enjoys digging into data, spotting trends others might miss, and using those insights to drive impact, you’ll thrive here.
This position has a starting salary range of $136K – $144K USD per year.
Equal OpportunityJD Power is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. Should you require accommodations during the recruitment and selection process, please reach out to
Company MissionTo power every auto-related decision through proprietary data, advanced analytics, deep industry expertise, and seamless workflows that connect insight to action.
ValuesWe POWER Our Customer's Success. We are Innovative, Collaborative and Grounded in Data. We Make Things Easy. We Get It Done. We Start with Trust & Prove it Everyday.
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