Data Studio Lead – Mechanical Engineering

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November 25

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Foundation EGI

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Artificial Intelligence • SaaS • Enterprise

Foundation EGI is an AI-driven platform that automates the generation of engineering documentation from 3D CAD data. The company converts assemblies into 2D/3D parts catalogs, GD&T technical drawings, optimized assembly sequences, and multilingual operator/service manuals, aiming to reduce manual drafting and speed product development for manufacturing and engineering teams. Foundation EGI positions itself as an enterprise SaaS solution that brings machine learning and computational design into industrial workflows to improve accuracy, traceability, and time-to-production.

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• Own the definition and evaluation of output quality, ensuring consistency and accountability across all internal and external datasets. • Oversee ingestion, cleaning, transformation, and structuring of customer data for AI model training and inference. • Build scalable processes and frameworks for data labeling, annotation tools, quality checks, and feedback loops. • Ensure timely, high quality data delivery for internal R&D and customer deployments. • Own SLAs, accuracy targets, and “definition of quality” for all datasets. • Partner with Product Managers to shape data-related features, workflows, and tooling (e.g., annotation UI, correction UI, model output review tools). • Translate customer needs into clear data requirements and repeatable solutions. • Build and lead a Data Studio team. • Implement best practices for documentation, quality metrics, repeatable workflows, and compliance. • Drive continuous improvements in throughput, cost efficiency, and accuracy. • Work closely with engineering and research teams to define data needs for model training, evaluation, and debugging. • Collaborate with BD team to scope data requirements for onboarding and implementation. • Serve as the subject matter expert on data quality, data formats, labeling standards, and customer specific nuances related to manufacturing design. • Interface with customers to understand their domain, data structures, and quality expectations. • Guide customers through data preparation, schema definition, and ongoing iteration. • Own delivery timelines, reporting, and communication for all active data projects.

🎯 Requirements

• Domain expertise in manufacturing design or industrial workflows; mechanical engineering background is required. • Hands-on experience with CAD tools (e.g., SolidWorks, CATIA, Siemens NX, Creo) and familiarity with interpreting complex mechanical models. • Experience creating or working with technical documentation such as exploded views, work-step sequencing, GD&T drawings, repair manuals, and similar manufacturing/assembly artifacts. • Ability to work directly with customers and translate domain problems into data requirements. • Experience leading and growing teams. • Excellent project management and cross-functional communication skills.