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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager, Business Intelligence & AI Analytics - **Company:** Cox Automotive - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $122,600.0 - $204,400.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, ARM Architecture, Business Intelligence Development, Big Data, Data Infrastructure, Data Visualization, Data Warehousing, Database Development, Database Queries, Power BI, Microsoft Copilot, Large Language Models, Snowflake, Agentic-AI, Data Analytics, Claude, GPT - **Published:** October 28, 2026 - **Apply:** https://diversityjobs.com/career/18766081/Senior-Manager-Business-Intelligence-Ai-Analytics-Georgia-Atlanta ## About the Role * 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 ## Description * 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