Technical Project Manager

Child Mind Institute•New York, NY

3d•Hybrid

About The Position

As a Technical Project Manager at the Child Mind Institute, you will lead the coordination and execution of complex, large-scale AI research initiatives in mental health contexts. You will manage a team of approximately 10 data scientists and software engineers and collaborate closely with the Clinical Project Manager and project leadership, ensuring seamless collaboration and timely delivery of project milestones. You will oversee project planning, resource allocation, risk management, and stakeholder communication, using common project management tools and methodologies. This role requires strong project management expertise, technical fluency to communicate effectively with the engineering teams that will report to you, and the ability to navigate complex research environments while maintaining alignment with project objectives and organizational goals. This is a full-time, exempt and hybrid (in office 4 days per week, 1 day remote) in our Midtown, NY office.

Requirements

Master’s in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience is required.
8+ years experience in technical project management for software development, data science, or AI/ML research projects.
8+ years of experience working regularly with software development lifecycle, data engineering, machine learning, or cloud computing concepts.
5+ years of practical experience with project management tools and methodologies (e.g., Notion, Jira, Kanban).
5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning).
5+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required.
Demonstrated experience managing complex, multi-phase projects in software development environments with multiple stakeholders and competing priorities.

Responsibilities

Work with team members across management, multiple engineering teams, clinical researchers, and stakeholders to develop project plans, timelines, milestones, resource requirements and deliverables, all in alignment with the overall mission of the project and organization.
Guide the team through the entire product development lifecycle, from road mapping and requirements gathering, through prioritization and scoping (OKRs), delivery of designs, and project management of engineering execution.
Coordinate cross-functional teams including data scientists, AI engineers, software developers, clinical researchers, and external collaborators to ensure efficient workflow and communication.
Achieve consensus around product vision and priorities across product research, design, engineering, and data science along with our leadership team.
Monitor project progress, identify risks and bottlenecks, and implement mitigation strategies to keep projects on track and within budget.
Help design and implement clinical validation and quality assurance testing for data generation, annotation workflows, and software development to ensure scientific rigor and reproducibility.
Ensure data quality, security, and compliance with privacy regulations for handling sensitive data.