Senior Manager, Business Intelligence & Service Analytics

As a Senior Manager, Business Intelligence & Service Analytics, you will serve as a strategic thought leader in shaping how Lucid collects, analyzes, and operationalizes data across the entire customer ownership lifecycle. Your leadership will guide service centers, mobile service teams, parts operations, and customer care organizations in driving performance, scalability, and worldclass service excellence. You will own the long term analytics vision for Service and champion data driven decision making across the organization. 

The Role 

• Build, own, and evolve analytical models, dashboards, and KPI frameworks that measure service center performance, technician productivity, turnaround times, parts fulfillment, and customer satisfaction—ensuring senior leadership has visibility into the health and trajectory of the service network. 

• Deliver advanced insights that optimize service scheduling efficiency, repair quality, mobile service deployment, and shop throughput—directly enabling Lucid’s commitment to operational excellence and an exceptional customer experience. 

• Identify trends in vehicle repair data, parts consumption, warranty claims, and field issues to proactively inform product, quality, and engineering teams and prevent future concerns at scale. 

• Partner with Parts Operations leadership to define and refine strategic inventory targets, forecast demand, reduce aging/back orders, and support long term parts availability planning. 

• Analyze end to end supply chain performance for aftermarket components, improving availability, strengthening supplier reliability, and ensuring repairs are completed on time. 

• Support strategic initiatives that enhance parts logistics, sourcing decisions, and predictive stocking strategies, ensuring operations remain efficient and customer focused as the business scales. 

• Translate complex data into actionable strategies that enhance the entire customer journey—from appointment creation to vehicle return—with a focus on experience optimization and long term retention. 

• Provide insights that help service leaders address systemic issues, elevate communication, and drive continuous improvement in customer satisfaction metrics. 

• Support NPI, customer feedback, and quality of service programs by leading root cause analysis and identifying high impact opportunities for process or product enhancement. 

• Mentor, coach, and elevate analysts supporting service performance, aftermarket business trends, and operational forecasting—cultivating a high performing analytics function. 

• Establish enterprise level best practices for data governance, visualization standards, and modern service analytics methodologies. 

• Foster a culture centered around urgency, ownership mindset, and customer obsession—not just reporting metrics but driving high impact operational actions across the service ecosystem. 

• Partner with Service leadership, Field Service Managers, Technicians, Parts Leads, and Customer Care to ensure analytics align with operational goals and on the ground reality. 

• Work closely with Digital and Data Engineering teams to advance service data infrastructure, vehicle telemetry integration, and real-time operational reporting capabilities. 

• Support executive leadership with narrative insights, strategic recommendations, and long-range analytics planning to advance Lucid’s service strategy and scale operations effectively. 

Required Qualifications 

• Bachelor’s degree in Data Analytics, Engineering, Business, or related field. 

• 8+ years of progressive data analytics or BI experience, including 4+ years of leadership experience supporting service, aftermarket, field operations, or comparable operational environments. 

• Proven experience developing analytics for service centers, dealership networks, repair operations, parts logistics, or warranty data at scale. 

• Demonstrated ability to influence senior leaders through compelling data storytelling and executive ready insights. 

• Expert proficiency in BI tools (Power BI, Tableau, etc.) and strong SQL skills. 

• Experience in EV, automotive, or high-tech service environments strongly preferred. 

Preferred Qualifications 

• Master’s degree in Analytics, Supply Chain, Operations Research, Business, or related discipline. 

• Experience with advanced service scheduling optimization, technician labor modeling, or operational capacity analytics. 

• Familiarity with service systems such as DMS, RMS, WMS, or ERP modules related to parts and service. 

• Understanding of EV specific service metrics such as HV battery service workflows, OTA driven diagnostic insights, and advanced driver assistance system service trends.