Senior Manager, Business Intelligence & AI Analytics

Cox Enterprises • Atlanta, GA

2d • $122,600 - $204,400 • Hybrid

About The Position

The Sr. Manager, Business Intelligence is a senior individual contributor on Cox Automotive’s Sales BI team within the Sales Business Office. The role drives analytics and insights that support the sales organization, combining hands-on technical BI expertise with leadership of AI-driven analytics. It serves as a trusted advisor to sales leadership and influences technical direction through expertise rather than direct people management.

A key focus is leading the Sales BI team’s AI transformation: setting direction, putting AI agents and generative BI into production, and demonstrating measurable adoption and business impact. The position helps move the team beyond traditional BI toward an AI-augmented analytics function, while shaping the BI roadmap, metrics framework, and analytics infrastructure in partnership with business, IT, Engineering, and data platform teams.

The role is hybrid, with the ability to work remotely part of the week, and requires 5% travel. The work shift is day. Compensation includes a base salary of $122,600 to $204,400, with possible additional compensation through an incentive program. Applicants must be authorized to work in the United States without current or future sponsorship. Atlanta-based candidates are preferred. Employment is contingent on clearing a pre-employment drug test.

Requirements

• Applicants must be authorized to work in the United States for any employer without current or future sponsorship; OPT, CPT, STEM/OPT, and visa sponsorship are not available.
• Bachelor’s degree in a related discipline and 8 years of experience, or a master’s degree and 6 years of experience, or 16 years of experience in a related field.
• At least 2 years applying AI in an analytics or data context, including hands-on use of LLMs such as Claude, ChatGPT, or Copilot and Snowflake AI/Cortex.
• Experience leading at least one end-to-end analytics AI transformation, with AI agents or automated analytical workflows in production, used by business stakeholders, and measured for adoption and impact.
• At least 6 years of hands-on experience with analytics, automated reporting, data exploration, and data visualization.
• At least 6 years of BI development experience, including enterprise-grade Power BI dashboards, data models, DAX measures, and row-level security.
• At least 8 years of SQL development experience, including complex queries, CTEs, and transformations against large datasets.
• Experience serving as technical lead on cross-functional analytics initiatives spanning multiple teams or business units; direct people-management experience is not required.
• Advanced proficiency in analytical thinking, business acumen, consulting, data gathering and reporting, and project administration and management.
• Advanced proficiency in building partnerships, collaborating with intent, communicating with consideration, developing trust, and driving innovation.
• Track record of influencing executive decisions with data and AI-driven insights, including presenting to large audiences and senior business leaders.
• Must clear a pre-employment drug test.

Nice To Haves

• Atlanta-based candidates are preferred.
• Primary ownership of a reporting platform serving hundreds of users is strongly preferred.
• Snowflake experience is strongly preferred.
• Proven experience leading change management for an analytics team’s AI adoption, including upskilling analysts and retiring legacy reporting.
• Experience partnering with IT, Security, and governance teams to get AI use cases approved and scaled within enterprise data and privacy policies.
• Hands-on experience with Amazon Quick Suite, including generative BI, research agents, Quick Flows, Quick Automate, and Spaces, or similar enterprise agentic analytics platforms.

Responsibilities

• Acquire, synthesize, and organize internal and external business data to produce insights that drive sales performance and revenue growth.
• Advise sales and business partners on recurring reporting, ad hoc analysis, and large cross-functional analytical engagements.
• Co-own the Sales BI roadmap with BI, Metrics & Reporting, and allied teams, setting priorities for data collection, reporting, and AI-enabled insight delivery.
• Define the metrics and measurement framework used by sales leadership, including methods for validating and trusting AI-generated insights.
• Shape BI and AI analytics infrastructure with Metrics & Reporting, IT, Engineering, and data platform teams, including Snowflake data warehousing, Power BI reporting, and AI analytics platforms such as Amazon Quick.
• Lead complex initiatives across product lines and business areas from scoping through measurable outcomes.
• Set and execute the Sales BI AI strategy, selecting tools, models, and agentic frameworks and retiring legacy methods as AI replaces them.
• Architect and deliver production AI agents and automated analytical workflows used by sales stakeholders, and establish reusable patterns for analysts.
• Build and prioritize AI use cases across the Sales Business Office with business cases and measured results such as adoption, hours saved, and revenue influence.
• Serve as the Sales Business Office’s AI subject matter expert and coach analysts and business partners on practical AI applications.
• Set expectations for analytical quality, reusable data models, and engineering best practices as a hands-on technical leader.
• Lead AI upskilling and change management by creating a learning path and helping analysts move from report-building to AI-augmented insights, without direct people-management responsibility.
• Translate complex, multi-source data into clear recommendations for non-analytical sales leaders and stakeholders.
• Communicate findings across the organization, including to executive leadership, and help decision-makers adopt strategies and business teams execute them.
• Assess the Sales BI stack and AI readiness during the first 90 days and present a prioritized AI roadmap to BI and sales leadership.
• Within six months, deliver at least two production AI agents or automated workflows in daily use by sales stakeholders and report adoption and time-saved metrics.
• Within 12 months, help achieve fewer manual reports, more self-service and AI-generated insights, a governance-approved path for scaling AI use cases, and analysts building on established patterns.

Benefits

• Flexible paid vacation, taken as consistent with the employee’s duties and the company’s needs and obligations.
• Seven paid holidays annually.
• Up to 160 hours of paid wellness time annually for the employee’s or family members’ wellness.
• Bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
• Potential benefits may include medical, dental, and vision insurance, 401(k), sick leave, parental leave, flexible vacation, wellness days, and/or PTO.
• The position may be eligible for additional compensation through an incentive program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior