2K - Program Manager, Game Science

• Analytics Lifecycle Facilitation: Facilitate the end-to-end data science process from initial concept (including scoping and data requirements verification) through to final deployment and subsequent lifecycle tracking. • Project Orchestration & Roadmapping: Build and maintain comprehensive project timelines, work-back schedules, and team allocations to guarantee data models and insights milestones are hit on schedule. • Agile Administration & Workflow Automation: Act as the specialized Jira and Confluence champion for the team. Establish, operate, and optimize centralized tracking systems for technical workflows, documentation, sprint backlogs, and team velocity metrics. • Risk & Dependency Mitigation: Proactively surface, track, and resolve project dependencies, data pipeline blockers, infrastructure delays, or operational risks. Escalate unresolved issues to appropriate stakeholders to minimize delivery delays. • Cross-Functional & Team Operations: Manage operational communication and workflows between the Game Science team, internal business units, and the Central Data team. Coordinate special operations, including internal functions, knowledge-sharing workshops, and team offsites across global locations. • Reporting & Executive Visibility: Prepare and distribute detailed project status updates, progress charts, and milestone reports to ensure the Senior Director and key stakeholders maintain absolute visibility into all analytical phases. • Core Competencies • Operational Execution: Exceptional capability in handling complex workflows, establishing structure out of ambiguity, and driving multi-stakeholder initiatives forward within a matrix organization. • Critical Thinking & Problem Solving: Proactive problem-solving mindset suited to managing the unique, iterative, and non-linear R&D nature of data science and advanced analytics environments. • Cross-Functional Collaboration: Strong interpersonal skills to interface successfully across highly technical roles (data scientists, engineers) and corporate business stakeholders. • Communication Excellence: Skill in translating project statuses, data risks, and technical dependencies into concise operational insights for senior leadership review. • What Will Make You A Great Fit • Required Qualifications, Knowledge, and Job-Related Skills • Experience: 4+ years of dedicated program or project management experience, specifically supporting data science, advanced analytics, or machine learning teams. • Technical Familiarity: Conceptual understanding of data workflows, machine learning lifecycles, and data engineering pipelines ("Why" and "What") without requiring direct coding expertise. • Tool Expertise: Professional-level mastery of Jira and Confluence for managing team backlogs, dependencies, and complex technical roadmaps. • Education: University degree or equivalent practical experience in project management, business operations, data systems, or a related field.