Senior Lead Product Manager, Data Platform – Analytics

🕒 May 29

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Datacor, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏢 Enterprise

☁️ SaaS

Enterprise • SaaS • Chemical

Datacor, Inc. is a leading provider of advanced process manufacturing software, offering integrated ERP and CRM solutions to maximize productivity and business growth. Their software solutions cater to the chemical, food & beverage, personal care, industrial, coatings & adhesives, and animal feed & pet food nutrition industries. Datacor provides industry-specific, configurable technology to enhance operational visibility and control, helping businesses manage complex pricing, formulas, and specifications while complying with government regulations. With a strong reputation as industry experts, Datacor is recognized for its robust support during software implementation and ongoing customer collaboration, particularly excelling in chemical distribution software.

📋 Description

• 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. • Manage data ingestion from multiple products and deliver customer-facing analytics products. • Own packaging, pricing, and monetization strategy for analytics products. • Partner with Sales, Marketing, and Customer Success to define value propositions and drive adoption. • Engage directly with customers to identify high-value manufacturing use cases.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development