Project Manager

Job Description

Key responsibilities include :

End-to-end project management for data science and analytics initiatives

Coordination between technical and business stakeholders

Tracking project progress, risks, and outcomes using agile or hybrid methodologies

Supporting the ope rationalization of AI models and data products

Managing communications, documentation, and governance workflows

Develop and maintain project documentation including project plans, technical specifications, sprint boards, meeting agendas, and reports.

Coordinate timelines, dependencies, and deliverables for multiple concurrent data science and AI projects.

Partner with data scientists to translate technical findings into actionable insights for business and clinical teams.

Facilitate meetings and cross-functional collaboration to ensure alignment between data, technology, and operations.

Track metrics such as model performance, deployment timelines, and business impact post-implementation.

Support the creation of dashboards, project trackers, and communication artifacts to enhance transparency and accountability.

Conduct readiness assessments and manage implementation plans for AI and analytics pilots.

Manage intake and prioritization processes for new data science project requests.

Document workflows, data pipelines, and governance processes for reproducibility and compliance.

Support vendor evaluations and partnerships for data platforms, analytics tools, or AI solution o

Requirements :

Bachelor's Degree in Data Science Analytics, Computer Science, Engineering, or related field.

1-3 years of experience in project management, preferably supporting analytics or data science initiatives.

Familiarity with data science workflows, tools (e.g., Python, SQL, Power BI, Snowflake, Azure ML, Data-bricks), and lifecycle management.

Experience working in healthcare, life sciences, or research environments preferred.

Ability to communicate effectively with both technical and non-technical stakeholders.

Strong organizational and documentation skills; ability to manage multiple work streams simultaneously.

Experience translating complex data concepts into business outcomes.

Knowledge of data governance, security, and compliance (HIPAA preferred).

Proficiency in Microsoft Office Suite, Azure DevOps or similar tools.

Requirements

Requirements

Required Qualifications :

• Excellent communication, collaboration, and problem-solving skills.
• Proven experience in automating infrastructure with Terraform and AWS CloudFormation.
• Strong understanding of cloud platforms, preferably AWS.
• Strong expertise in architecture and implementing high-performance, fault-tolerant infrastructure solutions that meet stringent latency, availability, and uptime requirements.
• Solid experience in configuring and managing load balancers, IAM Roles, EC2 instances, auto scaling groups, API management tools, and caching technologies.
• Experience with Kubernetes and Docker for containerized deployments.
• Experience with application and infrastructure security principles and best practices.
• Have a proven ability to delegate work effectively while maintaining oversight.
• Experience in a high-growth environment is a plus. Bonus points for :
• Experience working with Windows based systems in AWS.
• Experience using PowerShell in a production environment.
• Strong experience with Git lab CI.
• Experience with VMC on AWS.