[Hiring] Analytics Engineer @Openkyber

Role Description

OpenKyber has a client that is seeking a Senior Data & AI Strategist - AI and Advanced Analytics in Deerfield Beach, FL.

• 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.

Qualifications

• 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)

Requirements

• The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
• This job is not eligible for bonuses, incentives or commissions.

Benefits

• Comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees.
• Salaried personnel receive paid time off.
• Hourly employees are not eligible for paid time off unless required by law.
• Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Company Description

OpenKyber is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

For applications and inquiries, contact: [email protected]