engineering manager, Data & Analytics (Seattle, WA) at Starbucks

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Jan, 26

Salary

0.0

Posted On

31 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Leadership Experience, Data Engineering, Coding Experience, Project Execution, Product Execution, Enterprise Data Experience, Waterfall Methodology, Agile Methodology, SDLC, Data Management Principles, AI/ML, Analytics, Operational Reporting, Implementation Patterns, Consultation, Resource Allocation

Industry

Retail

Description

Ensures that programs and the team effort are aligned with company business goals and objectives. Provides consultation and support to ensure the correct management tools and processes are used. Relates initiatives to higher goals maintaining a coherent ‘big picture' work effort. Provides transparency in work effort and resource allocation. Builds and maintains a coherent set of tools and technologies to support an enterprise Data and Analytics capability. Develops and documents implementation patterns, supporting common requirements and business needs. Develops a framework of data Products that supports all data usage use cases, including Operational reporting, Analytics, and AI/ML. Demonstrated capability to innovate without direct supervision Previous hands-on data engineering or coding experience (current role does not require coding) Deep understanding of the process, including Waterfall and Agile methodologies Deep understanding of SDLC All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Develops, implements, and maintains relationships with technology leaders and peers that are part of the ‘data chain'. Educates business and data stakeholders on data management principles and initiatives. We'd love to hear from people with: Leadership experience - 4+ years. Does not have to be limited to technology sector experience, Military or EMS leadership experience a bonus. Hands on Coding experience - 3+ years. Project or Product execution - 5+ years. Enterprise Data experience - 5+ years. We'd especially love to hear from people with: Qualifications in Information or Library science Advanced Computer science qualifications

Responsibilities

The Engineering Manager for Data & Analytics ensures that programs and team efforts align with company business goals. They build and maintain tools and technologies to support an enterprise Data and Analytics capability.