Project Manager, Data & AI

First Global Management Services, Inc.•New York, NY

13h•$117,106 - $134,672•Hybrid

About The Position

The Technical Project Manager leads end-to-end delivery of FIRST’s data, analytics, and AI initiatives, translating strategic priorities and business requirements into structured project plans. The role works with data engineers, analysts, data scientists, business stakeholders, technology teams, vendors, and cross-functional partners to deliver data platforms, integrations, analytics solutions, dashboards, AI/ML use cases, and data-led products from prototype through production launch. The position combines project management discipline with a working understanding of modern data and AI technologies and development practices. It manages technical dependencies, facilitates delivery decisions, identifies risks, and drives projects from discovery and requirements through development, testing, implementation, and adoption. The role manages multiple concurrent initiatives, establishes and operates the team’s project intake and prioritization process, and helps create consistent delivery practices across the Data & AI portfolio. This position is part of the Data & Insights team and reports to the Director, Data & Analytics. It is a hybrid role based in New York; the employee must live in the New York tri-state area and be able to go into the office.

Requirements

Bachelor’s degree preferred, or equivalent practical/technical experience.
5–8 years of experience.
Strong understanding of data and analytics concepts, including data architecture, data modeling, data governance, data warehousing, and business intelligence.
Working knowledge of modern data technologies, including databases, ELT/ETL pipelines, APIs, integrations, SQL, and visualization platforms such as Power BI or Tableau.
Experience managing technical data and analytics projects through the full lifecycle, from requirements and design through testing, deployment, and adoption.
Strong knowledge of Agile/Scrum methodologies and proficiency with project delivery tools such as Jira, Asana, or Smartsheet.
Ability to understand technical architecture, dependencies, and risks and facilitate discussions with engineers and technical specialists.
Strong project management, analytical, problem-solving, and organizational skills, including the ability to manage multiple concurrent initiatives.
Excellent communication and stakeholder management skills, with the ability to translate between technical and non-technical audiences.
Strong communication skills and empathy for complex issues.
Must live in the New York tri-state area and be able to go into the office.

Nice To Haves

PMP, CSM, PMI-ACP, or similar certification.
Experience with cloud data platforms, AI/ML, or data products.

Responsibilities

Lead end-to-end delivery of data analytics and AI initiatives, including data engineering, integrations, analytics, reporting, governance, AI/ML use cases, and data products from prototype through validated, launched solutions.
Own and continuously improve the team’s project intake and prioritization process, ensuring requests are scoped, triaged, and resourced against strategic priorities.
Develop and manage project plans, timelines, milestones, resources, dependencies, risks, and budgets across concurrent initiatives.
Translate business and technical requirements into clear project scope, deliverables, workstreams, and actionable plans.
Partner with data engineers, analysts, business analysts, Product, IT, and other stakeholders to coordinate technical delivery and resolve dependencies.
Support new-business and existing-client opportunities involving data, analytics, or AI, partnering with Sales and Account teams on scoping, solution design, and pricing input for RFPs and proactive business cases.
Manage Agile delivery activities, including backlog prioritization, sprint planning, stand-ups, retrospectives, and release planning.
Identify and manage technical risks, issues, dependencies, and blockers; escalate and drive resolution as needed.
Coordinate testing, data validation, implementation, release readiness, and post-launch activities.
Monitor project health and communicate progress, risks, decisions, and delivery forecasts to leadership and key stakeholders.
Manage project scope and change control, assessing impacts to timelines, resources, dependencies, and outcomes.
Ensure data governance, security, privacy, quality, and documentation requirements are incorporated into project delivery.
Manage external vendors and implementation partners, as applicable, to ensure delivery against agreed scope and timelines.
Track and report delivery metrics tied to team goals, including reduction in ad hoc/BAU reporting work and adoption of launched AI/data solutions.
Support continuous improvement of Data & Insights delivery processes, tools, and standards while fostering accountability and collaboration.

Benefits

Medical, dental, and vision coverage, including an option for a high deductible health plan (HDHP) with a health savings account (HSA).
401(k).
Five flexible spending account options.
Paid time off allowance.
Employee Assistance Program (EAP).
Life, disability, and pet coverages.
Wellness stipend.
Mobile phone allowance.
Complimentary access to Headspace, Teladoc, Maven, Rocket Lawyer, Mobilo, and more.
Aura Identity Theft Protection.
Annual discretionary bonus eligibility.
Potential opportunities to work on projects across different locations.