Sr Data & AI Strategist

Sr. Data & AI Strategist
Location: Deerfield Beach, FL
Experience: 10+ Years

JD:
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.
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.
Experience building training content, documentation, and reusable resources that scale self-service.
Working knowledge of data governance and stewardship, data quality, model governance, data security, and responsible-use practices.
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)