Business Intelligence AI Manager

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Who we are

CAI is a global services firm with over 9000 associates worldwide and a yearly revenue of $1.3 billion. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients colleagues and communities. As a privately held company we have the freedom and focus to do what is rightwhatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

Job Description

We are looking for a Business Intelligence - AI Manager to lead AI initiatives drive innovation and enable teams to integrate AI into everyday work. This position will be full-time and remote.

What Youll Do

• Identify and prioritize high-value AI advanced analytics and data science use cases tied to The Medical BU strategic priorities

• Establish a demand management framework to identify and prioritize AI and advanced analytics initiatives

• Build ROI-based business cases and own success metrics from prototype through scale

• Translate business problems into actionable AI and automation initiatives partnering with data tech teams and process owners to implement solutions

• Evaluate emerging technologies including agentic AI LLMs and cognitive automation assessing their fit with current and future data capabilities

• Promote AI adoption by showing how it boosts productivity and decision-making

• Develop AI Quick Start programs playbooks and hands-on learning sessions to upskill teams

• Role model the use of AI productivity tools (Microsoft Copilot ChatGPT Enterprise etc.) across functions

• Partner closely with Data & Analytics teams to ensure priority AI use cases have the data access and quality needed for execution

• Identify critical data gaps tied to top AI initiatives and work collaboratively to resolve them

• Act as the business bridge translating AI requirements into clear data needs while ensuring alignment with existing governance and security standards

• Leverage enterprise data platforms (Salesforce SAP Databricks etc.) where relevant to active AI projects

• Set clear guidelines for ethical transparent AI use

• Create KPIs and dashboards to monitor AI adoption and results

• Track business value from AI including revenue cost savings and efficiency

• Stay current on emerging AI tools and technologies

• Evaluate partnerships with vendors startups and enterprise teams to accelerate deployment

• Encourage experimentation through safe pilot environments enabling fast learning cycles and scaling successful ideas

What Youll Need

Required

• Bachelors degree in Computer Science Engineering Data Science or related field; advanced degree (MBA MS or equivalent) preferred

• 10 years of experience in digital product management applied AI or data strategy ideally within complex matrixed organizations

• Proven track record delivering measurable business outcomes through AI automation or digital transformation

• Hands-on experience with LLMs prompt engineering Python scripting or workflow automation

• Strong understanding of data systems such as Databricks Snowflake Azure Synapse SAP Salesforce and governance principles

• Exceptional ability to translate complex technical concepts into business-relevant narratives and use cases

• Strong communication and influence skills; able to inspire adoption and align senior stakeholders

Preferred

• Familiarity with enterprise AI platforms and tools

• Experience driving cross-functional collaboration in global teams

Physical Demands

• Ability to safely and successfully perform the essential job functions

• Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings

• Ability to conduct repetitive tasks on a computer utilizing a mouse keyboard and monitor

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application interviewing completing any pre-employment testing or otherwise participating in the employment selection process please direct your inquiries to or (888).