Invisible Technologies Inc.
Invisible Technologies Inc. is a rapidly growing company that integrates world-leading AI with global human talent to enable AI adoption for enterprises. By combining artificial intelligence with human expertise in an integrated platform, Invisible Technologies focuses on training AI models, automating processes, and enhancing digital operations. The company's services include AI training, enablement, and intelligent operations solutions, catering to various industries such as financial services, healthcare, eCommerce, and technology. With significant growth recognized by the Deloitte Technology Fast 500 in 2024, Invisible Technologies helps organizations achieve transformational outcomes and significant ROI through expert process automation and AI solutions.
Productivity • Project Management • Data Clean-Up • Operations • Outsourcing
Senior Manager - Data Infrastructure
March 19
Invisible Technologies Inc.
Invisible Technologies Inc. is a rapidly growing company that integrates world-leading AI with global human talent to enable AI adoption for enterprises. By combining artificial intelligence with human expertise in an integrated platform, Invisible Technologies focuses on training AI models, automating processes, and enhancing digital operations. The company's services include AI training, enablement, and intelligent operations solutions, catering to various industries such as financial services, healthcare, eCommerce, and technology. With significant growth recognized by the Deloitte Technology Fast 500 in 2024, Invisible Technologies helps organizations achieve transformational outcomes and significant ROI through expert process automation and AI solutions.
Productivity • Project Management • Data Clean-Up • Operations • Outsourcing
📋 Description
• Lead the analytics team’s data architecture and infrastructure strategy • Act as a leader in data and data-driven strategy at Invisible • Enable downstream data products such as dashboards, reports, analyses, and, self-serve models • Manage our data lakehouse and data marts, in terms of tooling and design • Set robust data definitions, sources of truth, and nomenclature • Monitor data integrity and accuracy • Manage our data pipelines • Maintain and optimize data transformation layer and data models • Ensure efficient data processing and resourcing • Build data pipelines between different systems (eg ERP, HRIS, CRM, etc.) • Manage data permissions • Write and enforce company-wide data policies
🎯 Requirements
• 8+ years of experience in a data architecture, data infrastructure, data engineering, or analytics engineering role (or similar) • 4+ years of leadership experience, either managing teams or owning cross-functional data infrastructure • Experience with modern tech stack for analytics / BI • Ability to translate business needs to optimal data structures (pipelines, models, marts) • Experience setting the data architecture for external systems • Proficient in SQL • Proficient in Python for data pipelines and analytics
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