Cox Enterprises Jobs

Senior Manager, Business Intelligence & AI Analytics

Cox Enterprises

Senior Manager, Business Intelligence & AI Analytics

Posted 13 Hours Ago

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Atlanta, GA, USA

Hybrid

123K-204K Annually

Senior level

Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity

Building a better future for this generation and the next.

The Role

Leads Sales Business Intelligence strategy and AI transformation as a senior individual contributor. Develops enterprise Power BI dashboards, data models, SQL transformations, metrics frameworks, AI agents, and automated analytical workflows. Partners with sales leadership, IT, engineering, security, and governance teams to deliver trusted insights, improve adoption, reduce manual reporting, and influence revenue decisions. Mentors analysts and drives AI-enabled ways of working without direct people-management responsibility.

Summary Generated by Built In

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.
Primary Duties & Key Responsibilities
WHAT YOU'LL DO
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

What Success Looks Like in the First 12 Month

First 90 days: assess the current Sales BI stack and AI readiness, and present a prioritized AI roadmap to BI and sales leadership

Within 6 months: at least two production AI agents or automated workflows in daily use by sales stakeholders, with adoption and time-saved metrics reported

Within 12 months: a measurable shift in how Sales BI delivers analytics, with fewer manual reports, more self-serve and AI-generated insight, a governance-approved path for scaling new AI use cases, and analysts building on the patterns this role established

WHO YOU ARE
Minimum Requirements:

Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
Preference toward Atlanta based candidates
Bachelor's degree in a related discipline and 8 years' experience; or a Master's degree and 6 years' experience; or 16 years' experience in a related field
2+ years of experience applying AI in an analytics or data context, including hands-on use of LLMs (e.g., Claude, ChatGPT, Copilot) and Snowflake AI/Cortex, and experience leading at least one analytics AI transformation end to end: AI agents or automated analytical workflows in production, used by business stakeholders, with measured adoption and impact

6+ years of hands-on experience with analytics, automated reporting, data exploration, and data visualization

6+ years of BI development experience required, including building enterprise-grade Power BI dashboards, data models, DAX measures, and row-level security; experience as a primary owner of a reporting platform serving hundreds of users strongly preferred

8+ years of SQL development experience required, with proficiency writing complex queries, CTEs, and transformations against large datasets; Snowflake experience strongly preferred
Experience serving as the technical lead on cross-functional analytics initiatives spanning multiple teams or business units (direct people-management experience is not required for this individual contributor role)

Advanced proficiency in analytical thinking, business acumen, consulting, data gathering and reporting, and project administration & 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 insight, including presenting to large audiences and senior business leaders

Preferred Qualifications

Strongly preferred: a proven track record leading change management for an analytics team's adoption of AI, including upskilling analysts and retiring legacy reporting

Strongly preferred: experience partnering with IT, Security, and governance teams to get AI use cases approved and scaled within enterprise data and privacy policy

Hands-on experience with Amazon Quick Suite (generative BI, research agents, Quick Flows and Quick Automate, and Spaces) or similar enterprise agentic analytics platforms

USD 122,600.00 - 204,400.00 per year
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.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets

Skills Required

Currently authorized to work in the United States for any employer without current or future sponsorship
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 related experience
At least 2 years of experience applying AI in an analytics or data context
Hands-on experience with LLMs such as Claude, ChatGPT, or Copilot and Snowflake AI/Cortex
Experience leading an analytics AI transformation end to end, including production AI agents or automated analytical workflows 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
Advanced proficiency in analytical thinking, business acumen, consulting, data gathering and reporting, and project administration and management
Advanced proficiency in building partnerships, collaboration, communication, trust-building, and innovation
Track record of influencing executive decisions with data and AI-driven insights, including presenting to large audiences and senior business leaders
Snowflake experience
Experience as primary owner of a reporting platform serving hundreds of users
Track record leading change management for analytics team 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 or similar enterprise agentic analytics platforms

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The Company

HQ: Atlanta, Georgia

30,000 Employees

Year Founded: 1898

What We Do

Cox Enterprises is a family-owned enterprise spanning 125+ years of innovation. Through our diverse network of businesses, our people are shaping the future with bold thinking, cutting-edge technology and an unwavering commitment to doing what’s right. Across a range of industries — including automotive, agriculture, cleantech, journalism and more — we’re building a better future for this generation and the next. Make your mark at Cox!

Why Work With Us

Founded in 1898, Cox Enterprises is a community of kind, grounded individuals who work together to drive positive change across vital industries. At Cox, employees experience meaningful work, great benefits, work-life balance and a supportive team environment, plus ample opportunities for career growth across our family of businesses.