Mgr I Business Intelligence - Ai

Job Overview

The AI Manager is a hands-on leader who will embed AI and automation across the Medical BU business operations to deliver measurable impact on growth, efficiency, and customer experience. This role blends product ownership and capability enablement, driving flagship AI initiatives while educating and enabling teams to integrate AI in everyday work.

This role is designed to accelerate The Medical BU transformation into an AI-first organization, one that drives commercial impact through intelligent automation, empowered teams, and responsible innovation. The AI Manager will act as the connective tissue between business opportunity, digital capability and advanced analytics solutions, ensuring every AI initiative translates to tangible value for our distributors, customers, and internal teams.

Job Requirements

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  AI Strategy & Product Delivery

  
  

  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, as needed, to implement solutions.

  
  

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

  
  

   

  
  

  Business Enablement & Education

  
  
  
  
  • 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.
  
  
  
  

   

  
  

  Data Readiness to enable AI use cases

  
  

  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, not as a standalone scope.
  
  
  
  

   

  
  

  Responsible AI & Measurement

  
  
  
  
  • 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.
  
  
  
  

   

  
  

  Continuous Innovation & Partnerships

  
  
  
  
  • 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 your background should look like

• Bachelor’s 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 (e.g., 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.

Competencies