Technical Manager - Data Engineering

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.

• Minimum of ten (10) years in an end-to-end cloud data engineering projects, including data governance, data lakes, data applications on cloud platforms, visualizations, advanced analytics/machine learning, and data warehousing
• Preferred qualifications include certifications in Snowflake, Azure, Airflow & other data technologies
• Strong understanding of Generative AI & other LLM driven data apps
• Strong business-facing communication skills, especially with senior stakeholders.
• Excellent people management skills and a track record of managing large and complex engagements.
• Knowledge of change management methodologies and tools.
• Ability to produce high-quality deliverables that meet client needs.
• Experience in conducting design meetings and developing Level of Effort estimates.
• Creative thinking and innovative problem-solving skills.
• Ability to establish credibility with clients, build consensus, and achieve goals through influence.
• Excellent interpersonal, communication, and people management skills.
• Experience with third-party developers and vendors.
• Proficiency in using scrum/agile practices with multiple vendor integrations.
• Strong understanding of organizational goals and objectives.
• Excellent written and oral communication skills.
• Ability to communicate ideas in both technical and user-friendly language.
• Ability to prioritize and execute tasks in a high-pressure environment.
• Keen attention to detail and experience working in a team-oriented, collaborative environment.
• Knowledge of data privacy practices and laws.
• Willingness to work occasional evenings and weekends to meet deadlines.

Wynn Resorts is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Wynn Resorts does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state or local laws confidential according to EEO guidelines.