Strategic Projects Lead

Leads end-to-end delivery of complex cross-functional technical programs in AI/ML, data operations, engineering, and product evaluation. Aligns stakeholders, manages scope/resources, builds scalable workflows/data pipelines, and coordinates distributed teams. Requires master's degree and 4+ years in engineering-related roles.

About the job

Key Responsibilities

Lead the planning, execution, and delivery of complex, cross-functional projects in technical domains such as data operations, AI/ML model development, engineering design, and product evaluation.
Oversee the design, implementation, and continuous improvement of workflows and systems for large, distributed teams comprising engineers, analysts, contractors, and technical specialists.
Develop and enforce industry-standard practices for project documentation, quality assurance, and compliance across multiple technical programs.
Collaborate with engineering, business development, and product teams to define requirements, manage project scope, prioritize initiatives, and resolve bottlenecks for strategic business objectives.
Manage project tracking, resource allocation, and milestone delivery using project management platforms (Jira, Notion, Linear, or similar).
Recruit, onboard, and coordinate specialized contractors and subject matter experts for diverse technical projects, including but not limited to data collection, annotation, engineering analysis, or hardware evaluation.
Identify, evaluate, and implement strategies for sourcing and processing technical and engineering data for use in AI/ML training.
Develop, document, and refine scalable data pipelines and automated processes, ensuring compliance with industry standards and enabling rapid adaptation to changing technical requirements.

Requirements

Master's degree or foreign equivalent in Business Administration, Engineering, Computer Science, Physics, or a related field.
Four years of experience in the job offered, or in an engineering-related occupation.
2 years of experience working with multi-disciplinary technical teams in one or more of the following domains: AI/ML, engineering design, data operations, product development, or technical program management.
2 years of experience designing, implementing, and improving operational processes, quality assurance protocols, or documentation standards in technical environments.
2 years of experience working in industries related to hardware manufacturing, design engineering, semiconductor development or similar with a demonstrated understanding of end-to-end hardware design methodologies.
2 years of demonstrated experience in process improvement and analytical problem solving.
1 year of experience managing complex projects using advanced project management platforms (Jira, Notion, Linear, or similar) with responsibility for workflow optimization and resource allocation.
1 year of experience in coordinating projects and translating data into strategic business insights.