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Cox Automotive in the United States is seeking a Sr. Manager, Business Intelligence to drive analytics and AI-enabled insights for the Sales BI team.
You will operate as a hands-on technical leader and trusted advisor to sales leadership, shaping analytics strategy and delivering impact. You will co-own the BI roadmap, define metrics, oversee data platforms (Snowflake, Power BI) and AI tools, and lead complex initiatives across product lines to move the team toward AI-augmented analytics and
Company Cox Automotive - USA Job Family Group Data Intelligence & Science Job Profile Business Intelligence Sr Manager Management Level Sr Manager - Non People Leader Flexible Work Option Hybrid - Ability to work remotely part of the week Travel % Yes, 5% of the time Work Shift Day
Compensation Compensation includes a base salary in the range of $122,600.00 - $204,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
The Sr. Manager, Business Intelligence is a senior individual contributor on the Sales BI team within the Sales Business Office organization, driving the development and delivery of analytics and insights that power the Cox Automotive sales organization. This role pairs deep, hands‑on technical BI expertise with a forward‑looking mindset on AI‑driven analytics, operating as a trusted advisor to sales leadership and a technical leader across the Sales Business Office who drives impact through expertise and influence rather than direct people management. A key focus for this hire is to lead the team's AI transformation, drawing on direct experience having led one before: setting direction, shipping AI agents and generative BI into production, and proving measurable adoption and business impact for sales stakeholders. This person will be a champion for moving the team beyond traditional BI toward an AI‑augmented analytics function.
Analytics Strategy & Impact Acquire, synthesize, and organize business data from internal and external sources to produce insights that drive sales performance and revenue growth Serve as a trusted advisor to multiple sales and business partners across a wide range of analytical work, from recurring reporting and ad‑hoc requests to large-scale cross‑functional engagements Co‑own the Sales BI roadmap with other BI, Metrics & Reporting, and allied teams, setting clear direction and priorities for data collection, reporting, and AI‑enabled insight delivery Define the metrics and measurement framework sales leadership uses to run the business, including how AI‑generated insights are validated and trusted Shape the direction of Cox Automotive's BI and AI analytics infrastructure with Metrics & Reporting, IT, Engineering, and data platform teams, including data warehousing (Snowflake), reporting (Power BI), and AI analytics platforms (Amazon Quick) Lead complex initiatives spanning multiple product lines and areas of the business, from scoping through measurable outcomes AI Transformation & Innovation Set and execute the AI strategy for Sales BI: decide which tools, models, and agentic frameworks the team adopts (e.g., Claude, Snowflake Cortex, Amazon Quick Suite), and retire legacy methods as AI replaces them Architect and deliver production AI agents and automated analytical workflows that sales stakeholders use daily, and set the reusable patterns other analysts build on Build and prioritize a portfolio of AI use cases across the Sales Business Office, each with a clear business case and measured results such as adoption, hours saved, and revenue influence Serve as the Sales Business Office’s AI subject matter expert, staying current on emerging tools and coaching analysts and business partners on practical AI applications Technical Leadership & Mentorship Act as a hands‑on technical leader for the BI team, setting the bar for analytical quality, reusable data models, and engineering best practices Lead the team's AI upskilling and change management: build the learning path, model new ways of working, and help analysts move from building reports to delivering AI‑augmented insights, without direct people‑management responsibility Stakeholder Partnership Translate complex, multi‑source data into clear, relevant recommendations for non‑analytical sales leaders and stakeholders Communicate findings throughout the organization, from analysts to executive leadership, inspiring decision‑makers to adopt bold strategies and helping business and tactical teams execute thems