IT Project Manager - Data Analytics

As a Project Manager for the Applied Data & Insights team, will lead and orchestrate projects that seamlessly blend engineering, data analytics and data science from API endpoint to strategic Insight.

Focus on; Project management, Scrum practices, change management, user engagement, user training and the creation of technical documentation. Involve collaborating with cross-functional teams, including engineers, data analysts, data scientists, and stakeholders to deliver innovative solutions that drive our company’s success across the Sports and Entertainment business units., Project Planning and Scoping:

• Define and document clear project objectives, scope, and deliverables, taking into account the principles of Scrum and Agile project management.
• Develop comprehensive project plans that incorporate well-defined timelines and resource allocation.
• Engage with cross-functional teams, ensuring that they are aligned with project objectives and adhere to project timelines.

Stakeholder Engagement:

• Act as the primary point of contact for project stakeholders, maintaining open and transparent communication.
• Funnel new intake requests to the appropriate channels
• Continuously update stakeholders and senior management on project status, progress, and changes in alignment.

Change Management:

• Work to create awareness and increase adoption of products and tools provided by the data team through stakeholder communications, training, and collecting feedback to bring back to the data teams.
• Implement effective change management strategies to implement new products, and manage changes in project scope, requirements, and stakeholder expectations.
• Ensure a smooth transition when implementing changes, addressing user concerns and promoting user adoption.

Documentation & Training:

• Create and maintain user and technical documentation to support project management, user engagement, and future maintenance.
• Lead and develop instructional training sessions for stakeholders that focus on newly released products.

• Bachelor’s degree in a relevant field or equivalent work experience (e.g., Project Management, Engineering, Computer Science, Data Analytics or Data Science).
• PMP, Scrum Master, or similar project management and Scrum certification is a plus.
• At least 5 years experience managing projects at the intersection of engineering and analytics, while applying Scrum principles.
• Deep Understanding of linear and digital platforms
• Prior major studio project management experience is a plus

Required Skill Sets:

• Excellent communication and presentation skills.
• Strong interpersonal skills with the ability to build stakeholder relationships
• Strong analytical and problem solving skills.
• Proficiency in analytics tools: Looker & Tableau
• Familiarity with: AWS, Redshift, S3 & Snowflake
• Knowledge of engineering principles and Scrum methodologies.
• Adaptability to changing priorities in a fast-paced environment.