What are the responsibilities and job description for the Project Manager position at Diverse Lynx?
Job Title: Project Manager
Department: HR Operations
Location: 55 Water Street, New York, NY 10041
Work Setting: On-site (Jacobi OR 50 Water Street)
Hours: 40 hrs/week | 8 hrs/day | 5 days/week
Work Type: Onsite
The Project Manager will support programs. Under the direction of program leads, the PM manages assigned workstreams, supports project lifecycles, and ensures successful implementation of direct service programs.
- Support all phases of project lifecycles: planning, scope, design, execution, and delivery.
- Develop and maintain templates, tools, and trackers for project measurables and reporting.
- Monitor project progress, deliverable timelines, and escalate risks proactively.
- Assist with planning and delivering trainings, including creation of materials.
- Provide on-site support for implementation and operational oversight.
- Offer policy and operational guidance to improve service delivery.
- Review and approve invoices; provide recommendations for budget planning.
- Maintain accuracy, transparency, and accountability in all work products.
- Strong project management experience (3 years required).
- Ability to work independently and collaboratively to drive change.
- Excellent written and verbal communication; ability to tailor messaging by audience.
- High attention to detail, strong organizational skills, and ability to manage multiple priorities.
- Experience managing external vendors/contractors (preferred).
- NYC residency preferred.
- Bachelor's degree preferred.
- Workforce planning and job architecture experience for AI/ML functions.
- Ability to design job families, competency frameworks, and career pathways.
- Compensation benchmarking expertise across healthcare/government/tech.
- Strong understanding of AI/ML roles and skills.
- Master’s degree preferred in HR, OD, Data Science, or related field.
- 4 years in workforce strategy/HR consulting/organizational design;
- 2 years supporting AI, data science, or technical teams preferred.