Manager, Customer Support & Data Analytics - Fleet

General Motors
Warren, MI, United States
4 days ago
Apply on generalmotors.wd5.myworkdayjobs.com
Prepare application

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Microsoft Azure Cloud Computing Information Systems Information Engineering Data Presentation Data Visualization Apache Hadoop Apache Hive Mobile Application Software
+13 more
Knowledge Management NoSQL Oracle Business Intelligence Enterprise Edition Oracle SQL Developer Release Management Power BI Salesforce.Com Service Design Teradata SQL Wi-Fi Technology Apache Cassandra Data Strategy Data Analytics

Job description

The Manager, Customer Support & Data Analytics - Fleet will lead a team responsible for designing, monitoring, and continuously improving the end-to-end customer support experience for GM’s Fleet and Commercial connected vehicle customers, including large rental and corporate fleet accounts. You will leverage customer case and connected vehicle data to identify recurring issues across fleet applications, APIs, connected vehicle platforms, and telematics services. Working closely with Product and Engineering teams, you will drive long-term solutions and develop tools, processes, and interim solutions to resolve complex customer and fleet management challenges.

Your goal is to ensure Fleet and Commercial support operations deliver a best-in-class customer experience, with a focus on customer satisfaction, first-contact resolution, and speed to resolution, while meeting the unique needs of large-scale, revenue-critical fleet accounts.

What You’ll Do

  • Lead a team of customer experience leaders and data analysts responsible for Fleet and Commercial customer support, analytics, and complex escalations
  • Own the customer experience measurement and analytics strategy, including performance scorecards, trend analysis, root-cause identification, and insights across customer satisfaction, resolution time, case volume, escalations, transfer rates, and recurring customer issues
  • Leverage connected vehicle, customer interaction, and case data to identify trends, predict emerging issues, uncover root causes, and translate complex data into actionable insights that influence Product, Engineering, Quality, and Field priorities
  • Develop dashboards, reporting, and analytical frameworks that provide visibility into customer behavior, operational performance, product issues, and opportunities to improve the customer experience
  • Lead operating cadences that bring together Operations, Product, Engineering, Sales, and leadership to review insights, prioritize issues, and drive data-informed decisions
  • Partner with Product, Engineering, and Contact Center teams to translate analytical insights into tools, workflow improvements, and digital self-service solutions
  • Serve as an escalation leader for large Fleet and Commercial customers, partnering with Sales and Account teams to resolve revenue-sensitive issues and maintain customer confidence
  • Design and implement solutions, processes, and interim measures to address complex Fleet and Commercial customer issues
  • Develop support processes for new vehicle features, connected services, application releases, and digital experiences, including playbooks, training, success measures, and post-launch analysis
  • Deliver regular business and product reviews through data-driven storytelling, clearly communicating trends, customer pain points, root causes, risks, and recommended actions to senior leadership
  • Champion process excellence across customer support operations, including case management, knowledge management, escalation handoffs, and resolution quality
  • Partner with global teams to support the international expansion and consistency of Fleet and Commercial customer support models
  • Manage headcount, budget, and operating costs while improving productivity and team effectiveness
  • Lead team culture, safety, engagement, and development, fostering a high-performing and inclusive work environment, This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

Requirements

  • Bachelor’s degree in Data Analytics, Business, Engineering, Information Systems, or a related field, or equivalent professional experience
  • 10+ years of experience in analytics, service design, or operations focused on delivering and improving customer support experiences within a complex, multi-unit environment
  • 3+ years of leadership experience managing a team
  • Experience designing and implementing advisor processes and customer journeys, ideally within contact center, B2B/enterprise account, or digital support environments
  • Demonstrated ability to leverage data and analytics to identify issues, communicate insights, influence cross-functional decisions, and solve complex problems
  • Working knowledge of connected vehicle ecosystems, including APIs, telematics, mobile applications, Wi-Fi hotspots, over-the-air (OTA) capabilities, and infotainment systems, or similar connected product domains
  • Experience managing escalations for large, high-value accounts and partnering with Sales or Account teams on customer-facing communications
  • Experience applying structured problem-solving and continuous improvement methodologies, such as Six Sigma, Agile, Total Quality Management, Kaizen, or similar frameworks

What Can Give You a Competitive Advantage (Preferred Qualifications)

  • Knowledge and experience with database management, cloud platforms, and visualization tools, including Apache Hadoop, Oracle PL/SQL, Teradata, Apache Cassandra, Apache Hive, NoSQL, Microsoft Azure, Power BI, and Oracle Business Intelligence Enterprise Edition
  • Strong communication skills, with the ability to simplify complex topics and present clearly to senior leadership
  • Ability to operate in a fast-paced environment, manage multiple priorities, and lead through change
  • Experience with CRM and contact center ecosystems, such as Salesforce, including AI-enabled capabilities such as Next Best Action, Call Summarization, and Agent Assist
  • Experience with connected vehicle telematics, fleet management, telecom, subscription-based digital services, telematics APIs, or B2B commercial vehicle platforms
  • Experience partnering with and influencing Product, Software, and Data Engineering teams
  • Experience leading global or multi-region operations and vendor partnerships, including support for international market launches

About the company

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team., General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on generalmotors.wd5.myworkdayjobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

6:28 min

Defining critical competencies for automotive AI engineering

Daniel Graff +1 · World Congress 2021

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

3:54 min

Evaluating edge data sources and automotive compute capabilities

Nico Schmidt · LIVE

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · World Congress 2026 Europe

Videos

See all

Related articles

See all