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Company

Arch Systems · 18 hours ago

Senior Data Product Manager

United States

Full-time

Remote

Mid, Senior Level, Lead/Staff

5+ years exp

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Artificial Intelligence (AI)Industrial Automation

Growth Opportunities

No H1B

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Responsibilities

Develop and execute a comprehensive strategy and roadmap for our data analytics platform. Ensure alignment with business goals and address the evolving needs of users in the manufacturing sector.

Partner with engineering, data science, customer success, and application engineering teams to understand user pain points, resolve technical challenges, and deliver impactful, high-value features.

Define and establish actionable data insights specific to discrete manufacturing, including production efficiency, quality metrics, and uptime. Set standards for the types of insights our platform will deliver to optimize manufacturing processes.

Leverage data from diverse sources to make informed product decisions. Demonstrate a strong understanding of machine-generated data, connectivity, and integrity while ensuring the platform meets specific user needs.

Apply strong organizational skills to manage and deliver product features on time, maintaining a structured approach to project execution and feature prioritization.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Product ManagementSaaSSQLAWSData AnalysisData AnalyticsData EngineeringMachine Data AnalysisUser-Centric MindsetData VisualizationBig Data PlatformsManufacturing Systems KnowledgeManufacturing Metrics ExpertiseCross-Functional CollaborationProject Management

Required

5+ years as a Product Manager in SaaS, ideally with a focus on technical, data-driven products.

Bachelor’s degree in a technical field such as Computer Science, Engineering, Data Science, or related disciplines.

Proficient in data analytics and data engineering principles, with experience in tools and methodologies for KPI tracking, reporting, and driving data-centric decisions.

Familiarity with SQL, AWS, and a foundational understanding of machine data analysis.

Demonstrated ability to create and drive a product vision, align product strategy with business goals, and roadmap data-intensive products for B2B users.

Proven ability to work effectively across teams, including engineering, data science, customer success, and user teams, to translate user needs into valuable product features.

Strong organizational and project management skills to ensure timely and structured delivery of product features, with an ability to handle multiple priorities effectively.

Exceptional verbal and written communication skills, with the capacity to simplify technical details for diverse audiences and present insights that drive business impact.

Demonstrated ability to think creatively and strategically to resolve technical challenges, identify new opportunities for product enhancement, and drive continuous improvement.

Deep empathy for users, with a knack for understanding their needs and translating them into data-driven solutions that provide measurable value.

Preferred

Experience with Grafana, business intelligence (BI) tools, and KPI reporting systems to monitor and visualize product performance.

Exposure to big data platforms, machine connectivity, IoT systems, or similar industrial data environments that facilitate large-scale data processing and analysis.

Familiarity with Manufacturing Execution Systems (MES), Material Requirements Planning (MRP), or Enterprise Resource Planning (ERP) systems to support product integration and user needs.

Understanding of key manufacturing metrics, such as Units Per Hour (UPH), yield rates, downtime tracking, and the financial implications of these metrics on operational efficiency.

Advanced degrees (MBA or MS) are preferred.