Senior Lead Product Manager, Data Platform & Analytics

About Us

Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems.

We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications.

The Role

Datacor is modernizing how process manufacturers operate by unifying data across ERP, MES, WMS, formulation, quality, logistics, and engineering systems—and turning that data into actionable insights, predictive intelligence, and scalable analytics products.

We are hiring a Senior Product Manager, Data Platform & Analytics to own the strategy, roadmap, and commercialization of Datacor’s data lake and analytics platform across all Datacor business units and products.

This role is responsible for transforming fragmented product data into a single, governed, multi-tenant data platform that supports embedded analytics, premium analytics products, data lake as a service, and AI/ML-powered forecasting and predictive use cases for process manufacturers.

This is a high-impact, cross-cutting role that requires strong platform instincts, commercial thinking, and the ability to drive alignment across product teams without direct authority.

Responsibilities

Product Vision & Strategy

• 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), and 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 Platform & Analytics Productization

• 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).

Commercial Ownership & Go-to-Market

• Own packaging, pricing, and monetization strategy for embedded analytics, premium analytics products, Data Lake as a Service, and AI-enabled forecasting and predictive analytics.
• Develop business cases, ROI models, and success metrics for analytics and data products.
• Partner with Sales, Marketing, and