AI Technical Project Manager

Success Academy Charter Schools•New York, NY

22h

About The Position

Success Academy is a growing network of public charter schools in New York and Florida, committed to providing a rigorous, whole-child education. They are seeking a highly skilled and experienced Technical AI Project Manager to lead software and AI development projects. The Technology Division at Success Academy provides technology infrastructure, application services, security, and support, partnering with other teams to equip staff and students with innovative technology. The Technical AI Project Manager will be instrumental in driving innovation, building and managing project plans, monitoring progress, managing scope and risks, and ensuring timely delivery within budget and quality specifications. This role is part of a collaborative team including DevOps, data engineering, software engineering, RPA engineering, and project management professionals.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Business Management, or a related field.
5+ years of experience in software project management, ideally in a mid-to-senior capacity, with a proven track record of delivering complex technical projects.
Proven experience managing full software development life cycles (SDLC) from concept to deployment.
Strong understanding of software development methodologies (Agile, Scrum, Kanban, or Waterfall).
Experience working with tools such as Jira, Asana, Trello, Confluence, Monday.com, or similar project management software.
Strong business analysis skills, with a focus on working with a diverse group of users to understand and solve problems.
Ability to manage multiple projects simultaneously and prioritize tasks in a fast-paced, technically demanding environment.
Strong problem-solving skills with the ability to make informed technical decisions under pressure.
Proficiency in budgeting, forecasting, and resource management for engineering teams.
Familiarity with software development practices and technical concepts, including cloud infrastructure, APIs, and version control (e.g., Git).

Nice To Haves

PMP, PRINCE2, or Scrum Master certification preferred.
Experience working with remote teams and managing distributed projects is a plus.
Experience in managing projects in cloud environments (AWS, Azure, GCP), including an understanding of cloud-native services for compute, storage, and data.
Knowledge of DevOps practices and CI/CD pipelines, with an understanding of how to optimize release cycles for software and AI models.
Familiarity with software testing and quality assurance processes, including automated testing and performance testing.
Strong organizational skills with attention to detail, particularly in managing complex technical dependencies.
Any candidate who has been part of the development team and has spent time as a developer is ideal for this role and is desired.
Understanding of common programming languages such as Python, Java, JavaScript, C#, or Go.
Familiarity with database technologies (e.g., SQL, PostgreSQL, MongoDB, Cassandra).
Knowledge of front-end and back-end frameworks (e.g., React, Angular, Node.js, Spring Boot, Django, Flask).
Experience with API design, development, and integration (RESTful, GraphQL).
Understanding of microservices architecture and distributed systems.
Familiarity with containerization technologies (Docker, Kubernetes).
Knowledge of security best practices in software development (e.g., OWASP Top 10).
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Familiarity with AWS Bedrock and its available foundation model.
Understanding of data science concepts, including statistical modeling, data preprocessing, feature engineering, and model evaluation metrics.
Experience with data pipelines and ETL processes for machine learning (e.g., Apache Spark, Kafka, Talend).
Knowledge of MLOps practices for deploying, monitoring, and managing machine learning models in production.
Familiarity with natural language processing (NLP) or computer vision (CV) concepts if relevant to the projects.
Understanding of responsible AI principles, including fairness, interpretability, and privacy.
Experience with big data technologies and data warehousing solutions.

Responsibilities

Lead the end-to-end planning, execution, and delivery of software development and AI/ML projects.
Collaborate with stakeholders to define project scope, goals, and deliverables that support business objectives, specifically translating business needs into technical requirements for software and AI solutions.
Create and maintain detailed project plans, schedules, and roadmaps, including technical milestones for development, testing, and deployment phases.
Monitor and track project progress, adjusting plans as necessary to ensure technical milestones are met and dependencies are managed effectively.
Identify and mitigate technical risks (e.g., scalability issues, data quality, model performance, integration challenges) and resolve issues to keep projects on track.
Facilitate communication and collaboration between cross-functional teams (software engineering, data science, AI/ML engineering, design, QA, product).
Provide regular project status updates to stakeholders and upper management, clearly articulating technical progress and potential roadblocks.
Manage project budgets, timelines, and resource allocations for technical teams.
Ensure that all project documentation, including technical specifications, architecture diagrams, and model documentation, is complete, up-to-date, and accessible.
Foster an agile development environment, leading sprint planning, daily standups, and retrospectives, with a focus on technical sprint goals and deliverables.
Ensure that the development process aligns with best practices in software engineering, data governance, and responsible AI development.
Drive continuous improvement of project management processes and tools, integrating best practices for technical project delivery.