Job Description
As a Technical Manager of Data Engineering at Wynn Resorts, you will lead and manage data-centric projects to deliver impactful business outcomes. This role requires a blend of technical expertise, project management skills, and the ability to drive cross-functional teams. You will be responsible for planning, executing, and overseeing complex data engineering initiatives, ensuring they align with business objectives and deliver value.
Key Job Responsibilities:
- Lead and manage cross-functional delivery teams on data engineering projects.
- Develop and maintain integrated technology solution architectures and roadmaps
- Work with the project management and product management teams to track key milestones and deliverables.
- Guide and coach the development team on best practices to achieve rapid development of data solutions.
- Coordinate feature delivery and production releases in collaboration with the product owner.
- Actively manage the development activities, including solution design, code reviews, code deployments
- Participate & engage in delivery activities including sprint planning, demos, retrospectives, and standups.
- Resolve impediments and issues, removing delays and distractions to ensure project progress.
- Track sprint progress and strive to increase velocity and accuracy of sprint planning.
- Perform hands-on project work, including analysis, design, process engineering, and change management.
- Collaborate with business partners to enable iterative cycles of data gathering, visualization building, and optimization.
- Identify opportunities for improvements and recommend them to key stakeholders.
- Deliver regular updates to program leadership on project status.
- Conduct regular stand-up and status meetings with stakeholders.
- Represent the Data & Analytics IT team in multi-functional teams, possessing detailed knowledge of technical aspects and broader business objectives.
- Manage standard project management processes, including scope, budget, schedule, risks, communication, and change.
- Oversee the budget of the cloud data warehouse program and manage vendor contracts.
- Coordinate work across multiple business and IT teams.