Manager of Data Infrastructure

About Invisible

Invisible is the operations innovation company transforming how companies are built and run.

We are a tech-enabled service providing solutions to the world’s most complex business problems. Driven by our proprietary process orchestration platform, we seamlessly integrate advanced AI and automation with a global network of thousands of experts. This powerful combination delivers new capabilities and eliminates barriers to execution for our clients, unlocking unprecedented efficiency, scale, and growth opportunities.

Invisible has experienced exponential growth, quadrupling in size year over year for the past three years. At the beginning of 2024, we surpassed an Annual Recurring Revenue (ARR) of $100 million and continue to grow at speed. Operating as a profitable business, we maintain near complete ownership, with a firm foundation built on creating long-term shareholder value. We are excited to offer substantial equity compensation as part of our commitment to our team, presenting life-changing opportunities for our partners.

About The Role

The Sr Analytics Associate will play a pivotal part in the analytical culture of Invisible. They will be responsible for managing their internal stakeholders, in this case XYZ, driving insights and strategic decisions. Reporting into the Manager of Analytics, the Sr Analytics Associate will use data, data-related products (pipelines, models, dashboards, analyses) and an analytical approach to lead and support the needs of the business. 

What You’ll Do

• Lead a team of infrastructure engineers 
• 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  

What We Need

• 6+ years of experience in a data architecture, data infrastructure, data warehousing, or analytics engineering role
• 3+ years of experience managing a team of engineers, architects,and/ or analysts 
• Experience with modern tech stack for analytics / BI 
• Ability to translate business needs to optimal data structure 
• Experience setting the data architecture for external systems 
• Proficient in SQL
• Proficient in Python for data pipelines and analytics 

What’s In It For You

We believe in recognizing exceptional work with exceptional benefits. …