[Remote] Senior Lead Product Manager, Data Platform & Analytics
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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