- 4+ years of dedicated program or project management experience, specifically supporting data science, advanced analytics, or machine learning teams.
- Conceptual understanding of data workflows, machine learning lifecycles, and data engineering pipelines.
- Professional-level mastery of Jira and Confluence for managing team backlogs, dependencies, and complex technical roadmaps.
- University degree or equivalent practical experience in project management, business operations, data systems, or a related field.
- Exceptional capability in handling complex workflows, establishing structure out of ambiguity, and driving multi-stakeholder initiatives.
- Proactive problem-solving mindset suited to managing the unique, iterative, and non-linear R&D nature of data science and advanced analytics environments.
- Strong interpersonal skills to interface successfully across highly technical roles (data scientists, engineers) and corporate business stakeholders.
- Skill in translating project statuses, data risks, and technical dependencies into concise operational insights for senior leadership review.