Data Science & Engineering Manager

Our client is seeking an Data Science and Engineering Manager to join their Center for Data Analytics Innovation and Rigor (DAIR) team in New York City.

As part of the Center for Data Analytics Innovation and Rigor team you will report to the Director Center for DAIR. 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 position. A hybrid schedule will be required for employees based in the New York Tri-State area or California Bay Area with a minimum of four (4) days per week in the office on a schedule determined by your supervisor. Remote positions will be considered for candidates located outside of these regions. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. Please note: Our client is not currently able to employ individuals residing in Ohio North Dakota Washington or Wyoming.

Our client is dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. They have become the leading independent nonprofit in childrens mental health by providing gold-standard evidence-based care delivering educational resources to millions of families each year training educators in underserved communities and developing tomorrows breakthrough treatments.

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.

Qualifications:

• Masters 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.

Special Considerations:

The anticipated salary range for this position is $185000 - $225000 USD annually.

Our clients competitive compensation and benefits include medical insurance 401(k) paid parental leave dependent care flexible work schedules discounted tickets and entertainment perks programs.

The salary range for the position is posted. Factors such as candidates work experience education/training job-related skills internal peer equity as well as market and business considerations affect the salary offered within this addition this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role) if an authorization is granted to work outside of the location listed in this posting.

Our client is an equal opportunity employer and does not discriminate in employment based on race religion (including religious dress and grooming practices) color sex/gender (including pregnancy childbirth breastfeeding or related medical conditions) sex stereotype gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a drivers license issued to persons unable to prove their presence in the United States is authorized under federal law Vehicle Code section 12801.9); ancestry physical or mental disability medical condition genetic information/characteristics marital status/registered domestic partner status age (40 and over) sexual orientation military or veteran status or any other basis protected by federal state or local law or ordinance or regulation.