Note: The job is a remote job and is open to candidates in USA. Datacor is the leading provider of software solutions for the process manufacturing space, and they are seeking a Senior Lead Product Manager for their Data Platform & Analytics. This role is responsible for owning the strategy, roadmap, and commercialization of Datacor’s data lake and analytics platform, transforming fragmented product data into a single, governed, multi-tenant data platform that supports various analytics use cases.

Responsibilities

• 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
• 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

Skills

• 5+ years of product management experience in enterprise software
• Proven experience launching and scaling data lake and/or analytics platforms
• Strong understanding of: cloud-based data architecture, ETL/ELT pipeline, APIs and semantic modeling, role-based access control and multi-tenancy
• Demonstrated ability to define pricing, packaging, and commercial strategy for platform products
• Experience operating in complex, multi-product or matrixed organizations
• Experience with AWS-based data platforms (e.g., S3-based data lakes, Lake Formation, Athena, Redshift, QuickSight)
• Background in process manufacturing, industrial software, or B2B SaaS
• Experience supporting self-service analytics and customer-built dashboards
• Familiarity with applied AI/ML use cases in forecasting, optimization, or predictive analytics

Company Overview

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