Responsibilities
The Project Management Support supports the delivery of data science, analytics, and AI/ML initiatives within a cloud-based, high-performance analytics platform.  The Project Management Support will:

• Acilitate agile ceremonies, removes impediments, and ensures cross-functional teams, including data scientists, platform engineers, data engineers, and program stakeholders, are aligned, unblocked, and delivering value consistently.
• Will brings a foundational understanding of analytics and data platforms, enabling meaningful engagement with technical teams.
• Facilitate sprint planning, backlog grooming, and delivery tracking for advanced AI/ML use cases.
• This role is ideal for a motivated early-career professional looking to expand upon tenants of agile delivery and data-driven program execution.

Qualifications

Basic Qualifications: 

• Bachelor's degree with 0 years of relevant experience, or Associate's degree with 2+ years of experience in a technical project coordination, agile delivery, or data-adjacent role.
• Working knowledge of Scrum framework principles and ceremonies.
• Hands-on experience using JIRA for sprint tracking, backlog management, and reporting.
• Experience with Confluence for team documentation and knowledge management.
• Foundational understanding of data science and analytics workflows, data platforms (e.g., Snowflake, Databricks), and the role of ML/AI in a cloud-based analytics environment.
• Demonstrated ability to work effectively across diverse teams including engineers, data scientists, analysts, and non-technical program stakeholders.
• Strong written and verbal communication skills; ability to facilitate meetings, synthesize technical discussions, and clearly convey progress and blockers to varied audiences.
• Strong organizational skills with the ability to manage multiple workstreams, track action items, and maintain accurate sprint and program documentation.
• Proactive approach to identifying impediments and coordinating resolutions across technical and operational teams.
• Eagerness to learn, adapt, and apply agile best practices in a fast-paced, innovation-driven environment.
• Ability to obtain and maintain a Public Trust clearance.
• US Citizenship or Green Card holder and must have been in the US for 3 of the last 5 years.

Preferred Qualifications:

• Scrum Master certification or equivalent agile certification in progress or completed.
• Familiarity with Databricks or Snowflake workflows and how data engineering and ML pipelines are structured and delivered.
• Exposure to MLOps concepts, including model development lifecycle stages, deployment pipelines, and governance checkpoints.
• Experience supporting data science or analytics teams on a technical project.
• Knowledge of healthcare claims data, Medicare/Medicaid program data, or federal health analytics use cases.
• Experience with GitHub for tracking development activity and coordinating code review workflows across agile sprints.
• Exposure to data visualization tools (e.g., Grafana, Tableau) and the ability to interpret analytical outputs in sprint reviews.
• Experience with Confluence/JIRA dashboards and reporting for program-level visibility and executive stakeholder communication.

Target Salary Range$66,000 - $106,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.