Senior Manager, Business Intelligence & AI Analytics

Cox Communications•Atlanta, GA

14h•Hybrid

About The Position

The Senior Manager, Business Intelligence is a senior individual contributor on the Sales BI team within the Sales Business Office. The role develops and delivers analytics and insights for the Cox Automotive sales organization, combining hands-on BI expertise with leadership of AI-driven analytics. It serves as a trusted advisor to sales leadership and provides technical leadership through expertise and influence, without direct people-management responsibility. A central focus is leading the Sales BI team's AI transformation: setting direction, putting AI agents and generative BI into production, and demonstrating adoption and measurable business impact. The role co-owns the Sales BI roadmap, defines metrics and measurement frameworks, influences the BI and AI analytics infrastructure, leads complex cross-functional initiatives, and establishes reusable technical and analytical practices. It also builds the team's AI capabilities and helps analysts shift from traditional reporting to AI-augmented insight delivery. Success measures include assessing the BI stack and AI readiness and presenting a prioritized roadmap within the first 90 days; delivering at least two production AI agents or automated workflows used daily within six months, with adoption and time-saved metrics; and, within 12 months, establishing a governance-approved approach to scaling use cases while reducing manual reporting and expanding self-service and AI-generated insights. The position is hybrid, with the ability to work remotely part of the week. It is a day-shift role and requires travel approximately 5% of the time. Applicants must be authorized to work in the United States for any employer without current or future sponsorship. A pre-employment drug test is required; the company states it does not currently test for marijuana for this position.

Requirements

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, including production AI agents or automated analytical workflows used by business stakeholders, with measured 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 presentations to large audiences and senior business leaders.
Authorization to work in the United States for any employer without current or future sponsorship; OPT, CPT, STEM/OPT, and visa sponsorship are not available.
Ability to clear a pre-employment drug test.

Nice To Haves

Snowflake experience is strongly preferred.
Experience as primary owner of a reporting platform serving hundreds of users is strongly preferred.
A proven track record 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 approve and scale AI use cases 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.
Atlanta-based candidates are preferred.

Responsibilities

Acquire, synthesize, and organize internal and external business data to generate insights that improve sales performance and revenue growth.
Advise sales and business partners across recurring reporting, ad hoc analysis, and large-scale cross-functional 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 building trust in AI-generated insights.
Shape BI and AI analytics infrastructure in partnership with Metrics & Reporting, IT, Engineering, and data platform teams, including Snowflake data warehousing, Power BI reporting, and AI analytics platforms.
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 other analysts.
Build and prioritize AI use cases across the Sales Business Office with clear business cases and measured outcomes such as adoption, hours saved, and revenue influence.
Serve as the Sales Business Office AI subject matter expert and coach analysts and business partners on practical AI applications.
Provide hands-on technical leadership, setting standards for analytical quality, reusable data models, and engineering practices.
Lead AI upskilling and change management by building a learning path, modeling new ways of working, and helping analysts deliver AI-augmented insights without direct people management.
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 technology stack and AI readiness and present a prioritized AI roadmap within the first 90 days.
Deliver at least two production AI agents or automated workflows used daily by sales stakeholders within six months, reporting adoption and time-saved metrics.
Within 12 months, establish a measurable shift toward fewer manual reports, more self-service and AI-generated insights, a governance-approved scaling path, and analysts using the role's established patterns.

Benefits

Flexible paid vacation, taken consistently with role duties, company needs, and obligations.
Seven paid holidays per calendar year.
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.
Parental leave.
Potential health care insurance, including medical, dental, and vision coverage.
Potential 401(k) retirement planning benefits.
Paid days off, including sick leave, parental leave, flexible vacation/wellness days, and/or PTO.