• Define and evolve Datacor’s data platform and analytics strategy across all product lines, balancing short-term customer value with long-term platform scalability. • Establish a clear analytics and data roadmap that supports: Embedded analytics, Advanced analytics and dashboards, Data Lake as a Service (DLaaS), Predictive and forecasting use cases powered by AI/ML. • Ensure AI and machine learning capabilities are built on a strong, reliable data foundation, not treated as standalone features. • Data ingestion from across multiple products. • Standardized schemas, data contracts, and semantic layers. • Scalable, multi-tenant analytics architecture. • Deliver customer-facing analytics products, including role-based dashboards and self-service analytics tools. • Launch point solutions using the data lake (e.g., forecasting, variance analysis, operational benchmarking). • Own packaging, pricing, and monetization strategy for: Embedded analytics, Premium analytics products, Data Lake as a Service, AI-enabled forecasting and predictive analytics. • Develop business cases, ROI models, and success metrics for analytics and data products. • Partner with Sales, Marketing, and Customer Success to define value propositions, enable demos and sales motions, and drive adoption and expansion. • Work across all Datacor product teams to align data ingestion, schemas, and priorities. • Own cross-BU data decisions, balancing local product needs with platform consistency and scalability. • Establish and enforce data contracts to prevent customer-specific logic from leaking into the shared platform. • Engage directly with customers to understand analytics needs across manufacturing, quality, supply chain, finance, and engineering. • Identify high-value manufacturing use cases such as: Forecasting and demand planning, Yield and variance analysis, Predictive maintenance indicators, Inventory and throughput optimization. • Track trends in manufacturing analytics, industrial AI, and data platforms to guide investment decisions.