Hiring.Camp

Client Manager, Customer Success

Jdpa

·

1 week ago

Salary
$110 – $130
Location
Michigan - Remote, United States of America
Workplace
Remote
Type
Full-time
Department
Customer Service
Seniority
Manager
Experience
2+ years
Source
Workday

Description

Job Description:

Title:              Client Manager, Customer Success

Location:        Remote based in Michigan or near Los Angeles, CA

Reports to:     Director Customer Success – OEM Solutions

Vacancy:        New vacancy

 

The Role:   

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.

The Impact You Will Have in This Role:  

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.

Qualifications of this Role:

  • 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.

The Hiring Manager says:

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 $110 to $130k USD per year. This is the range we reasonably and in good faith expect to pay for the role at the time of posting. An employee’s pay within the range is determined by a number of factors, including relevant skills, education, qualifications, experience, performance, business or organizational needs, and geographic location.

Company Mission

Our mission in the market we serve is clear. To power every auto-related decision through proprietary data, advanced analytics, deep industry expertise, and seamless workflows that connect insight to action.

Our Values

We 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

JD 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 [email protected]

JD Power does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, JD Power has international sites and JD Power uses resources located throughout the world. JD Power may from time to time also use third parties to act on JD Power’s behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within JD Power group of companies as well as to third parties acting on JD Power’s behalf, including also transfers to servers and databases outside the country where you provided JD Power with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America. If you are a California or United Kingdom resident, additional disclosures about the information we collect and how we use that information can be found by clicking here.

To all recruitment agencies: JD Power does not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes.  

Skills

PythonSQLSparkExcel

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