year

24-Mag•New York, NY

11h•Remote

About The Position

The Strategic Project Lead will lead coding and software-engineering data programmes supporting advanced AI model training. The role owns end-to-end delivery of coding-data pipelines, from initial requirements through production execution and delivery, ensuring alignment across quality, timelines, technical specifications, and stakeholder expectations. The position combines software-engineering fluency with operational leadership, data-driven decision-making, automation, and disciplined execution across complex technical programmes. The role drives scalable workflow automation, establishes technical task specifications and quality standards, monitors pipeline performance, and coordinates software-engineering experts, reviewers, technical staff, internal teams, client-facing teams, and external stakeholders. It also incorporates client feedback, audit findings, and performance data to improve programme quality and operations. Pipeline priorities, delivery requirements, and technical specifications may evolve according to programme and client needs.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline.
Strong understanding of software-engineering and coding fundamentals.
At least 2 years of experience leading technical projects, data operations, or complex technical workflows.
Demonstrated leadership and team-management capability.
Strong analytical and problem-solving skills.
Experience using operational and quality metrics to drive improvements.
Ability to translate client requirements into clear technical specifications.
Strong understanding of scalable workflow and process design.
Excellent stakeholder-management and written communication skills.
Ability to collaborate across technical, operational, and client-facing teams.
Strong ownership mindset and ability to operate effectively under ambiguity.
Strong software-engineering fluency and operational leadership.

Nice To Haves

Experience with automation, technical data pipelines, human data, or AI-training operations.

Responsibilities

Own end-to-end delivery of coding and software-engineering data pipelines.
Manage programmes from initial requirements through production execution and delivery.
Ensure alignment across quality, timelines, technical specifications, and stakeholder expectations.
Identify operational risks, resolve delivery bottlenecks, and maintain ownership across complex workflows.
Drive automation for task generation, validation, quality control, and reporting.
Identify repetitive processes suitable for automation and design scalable workflows that reduce manual overhead and improve consistency.
Improve reliability and throughput across technical data operations and support processes that scale with programme growth.
Define task specifications for coding and software-engineering work.
Develop golden samples, reference outputs, and review rubrics to establish consistent technical evaluation standards.
Ensure reviewers and contributors apply quality standards accurately.
Track pipeline health using quality, average handling time, throughput, and delivery metrics.
Analyse operational data, report on pipeline efficiency and quality, and use quantitative evidence to prioritise improvements.
Evaluate process changes through measurable performance outcomes.
Coordinate software-engineering experts, reviewers, technical staff, client-facing teams, internal teams, and external stakeholders.
Translate stakeholder requirements into clear technical specifications and workflows.
Communicate programme status, risks, and priorities, maintain alignment, resolve ambiguity, and drive decisions.
Incorporate client feedback, audit findings, and performance data into programme improvements.
Identify recurring failure patterns, develop systemic solutions, and improve quality-control processes as requirements evolve.
Refine operational standards and build repeatable practices for future technical-data programmes.