Description

Duties Include:

• Lead data science enablement across business groups: training, coaching, and workshop follow-through that helps stakeholders interpret and act on ML models, forecasts, and optimization outputs - converting AI and analytics products into active, governed usage
• Partner with senior data scientists: translate complex models, statistical outputs, and optimization recommendations (demand forecasting, logistics planning, supply chain optimization) into language executives and frontline users both understand
• Engage leadership directly: act as a credible, leadership-facing advocate who frames AI and analytics products around business decisions and P&L impact, and secures executive sponsorship for sustained adoption
• Build reusable assets: decision playbooks, model interpretation guides, prompt and skill libraries, templates, and accelerators that grow a self-sufficient community of model consumers
• Coordinate delivery across the AI and analytics portfolio: partner with data scientists, architects, business stakeholders, and IT to track adoption, manage dependencies, facilitate follow-ups, and support project management activities across models, dashboards, data assets, and adoption initiatives
• Support governance and safe scaling: monitor usage and adoption, ensure outputs are interpreted and applied correctly, and help steward the underlying data assets - upholding data quality, model governance, data security, and responsible-use practices as the consumer community grows

REQUIREMENTS:

• 6-10 years of experience in consulting, business analysis, or solution delivery, with a proven track record advising and enabling business users on AI, analytics, data, or decision-support products
• Demonstrated success driving adoption of data science, advanced analytics, or AI outputs in a business setting
• Ability to interpret and clearly explain machine learning outputs - forecasts, optimization recommendations, and statistical results - to non-technical audiences without misrepresenting them
• Strong facilitation and consulting skills: running workshops, mapping decisions, and translating AI and analytics outputs into practical, adopted business actions
• Excellent stakeholder communication; Credible and comfortable operating in a leadership-facing capacity with both executives and frontline users
• Ability to leverage AI tools to code (e.g., Python, SQL) sufficient to explore data, validate model outputs, and prototype enablement assets - preferred, but not required for this role
• Prior experience in a Center of Excellence or enablement function scaling analytics or AI across an enterprise
• Familiarity with the Microsoft AI and analytics stack (Microsoft Fabric, Power BI, Azure ML, Azure AI Foundry, Microsoft Purview) and how data and models move from development into production consumption
• Experience partnering with data science teams to operationalize demand forecasting, optimization, or supply chain AI and analytics
• Automotive, distribution, supply chain, or field-operations domain experience
• One or more current Microsoft Learn credentials, such as:
• Microsoft Certified: Power BI Data Analyst Associate (PL-300)
• Microsoft Certified: Azure AI Fundamentals (AI-900)
• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
• Microsoft Certified: Azure Data Scientist Associate (DP-100)
• Microsoft Certified: Azure AI Engineer Associate (AI-102)

Key Skills

Education

Any Graduate