Senior Manager, Data & Analytics

As the leading transit bus manufacturer in the United States, GILLIG buses play a critical role in the environmental and social initiatives in communities across our nation.  GILLIG is on the forefront in the transition to zero-emission vehicles and has an unmatched reputation in the industry for quality, reliability, durability, service, and support.  From initial design through final assembly, each GILLIG bus is designed and built in Livermore, CA. 

WHY GILLIG

• Leader in environmentally friendly mobility solutions including battery electric, hybrid electric, near-zero CNG and clean diesel transit buses
• Renowned for its inclusive team/family-oriented culture
• Stable, successful, and growing organization – a Bay Area business for over 132 years!
• Flexible schedules (*depending on project needs)
• Excellent compensation including company paid medical premiums, generous retirement plan and other comprehensive benefits

DEPARTMENT OVERVIEW

The Data & Analytics department at GILLIG is committed to harnessing data-driven insights to propel strategic decision-making, enhance operational efficiency, and uncover commercial opportunities across the organization. Our team is pivotal in transforming data into a strategic asset that influences high-level decision making across departments.   We foster a culture of data accessibility and collaboration, innovation-driven culture focusing on long-term value creation and continuous improvement.

 ABOUT THE ROLE

We are looking for a dynamic and hands-on Senior Analytics Manager (Player/Coach) to lead and manage analytics projects across multiple departments while actively participating in data analysis and reporting. This role requires a leader with strong analytics architectural acumen, experience with modern data stacks and cloud warehousing, and a mindset for innovation. The successful candidate will play a crucial role in evolving GILLIG’s analytics ecosystem into a world-class capability that drives significant business impact. By delivering actionable insights and fostering a data-driven culture, this role will fuel strategic decision-making and operational excellence across the organization.

This position requires a deep understanding of data architecture, data governance, and both on-premises and cloud-based data solutions. The ideal candidate should have extensive experience in sourcing data from internal and external sources, including ERP systems, and implementing comprehensive data models that drive a single source of truth. They should also be proficient in selecting and deploying analytics and business intelligence tools, and promoting data literacy to generate new insights across the enterprise. The role demands a strong blend of analytical and technical skills to design, implement, and manage a robust data infrastructure that supports advanced analytics and reporting needs across the business.

 IN THIS ROLE YOU WILL

• Lead and execute strategic initiatives that align with organizational objectives and drive business transformation
• Develop a roadmap for scaling analytics capabilities to support the company’s strategic growth
• Actively participate in data analysis, developing dashboards, reports, and visualizations
• Work closely with departmental leaders to understand and address their analytics needs
• Influence and drive the adoption of data-driven decision-making across the organization
• Design and implement data architecture to support analytics initiatives
• Develop and drive data integration and reporting requirements for on-premises and cloud-based data stores into a robust Analytics Platform
• Leverage modern data stack tools such as DBT or equivalent scripting for data transformation
• Identify and implement process improvements to enhance data accuracy, efficiency, and quality
• Develop a plan for scaling the internal analytics team as the department grows
• Mentor and develop a high-performing analytics team, transitioning from a player/coach model to a full leadership role, ensuring skill development, team cohesion, and operational excellence
• Develop and implement data governance policies and data privacy regulations
• Explore and champion the integration of advanced analytics, tools, and methodologies including ML and AI solutions to augment analytics capabilities

 BASIC QUALIFICATIONS

• Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. Master’s degree or MBA preferred
• Minimum of 8 years of experience in data analytics, with at least 4 years in a managerial or team leadership role
• Demonstrated proven abi