W2- Lead AI Scientist / Data Scientist Engineer

Title: AI Scientist / Engineer (Data Science & Analytics)

Work model : Hybrid (4 days/week)

Location: Plano, TX

Key Responsibilities 
• Design and develop enterprise AI usage dashboards and executive scorecards across multiple AI platforms. 
• Build scalable data pipelines to ingest, integrate, and transform AI usage, operational, and financial data from diverse enterprise systems. 
• Develop KPIs and metrics for AI adoption, utilization, token consumption, credits, costs, ROI, and business value realization. 
• Create executive-level visualizations and reports that support strategic decision-making and AI governance. 
• Apply data science and statistical techniques to identify adoption trends, optimization opportunities, forecasting, and value realization insights. 
• Collaborate with AI platform teams, IT, Security, Finance, Procurement, and business stakeholders to establish trusted enterprise AI metrics. 
• Ensure data quality, governance, and consistency across enterprise AI reporting. 
• Support AI portfolio management through cost optimization, utilization analysis, and performance monitoring. 
• Recommend improvements to AI measurement frameworks, reporting standards, and executive dashboards.                                   

Minimum qualification:                  

• Bachelor''''''''s degree in Computer Science, Data Science, Analytics, Engineering, or a related field (Master''''''''s preferred). 
• 5+ years of experience in Data Science, Data Analytics, Data Engineering, or AI Engineering. 
• Experience building enterprise-scale dashboards using Power BI, Tableau, or similar visualization platforms. 
• Strong SQL and Python programming skills. 
• Experience integrating data from APIs, cloud platforms, data warehouses, and enterprise systems. 
• Knowledge of AI/LLM platforms and associated usage metrics (e.g., prompts, tokens, credits, model utilization, API consumption, costs). 
• Experience designing executive dashboards and KPI reporting.