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Starbucks · 1 day ago

engineering manager, Data & Analytics (Seattle, WA)

Seattle, WA

Full-time

Onsite

Mid, Senior Level

$162K/yr - $270K/yr

4+ years exp

Starbucks is a company known for its commitment to connection and leadership. They are seeking an Engineering Manager in Data & Analytics who will lead a team focused on data strategy, innovation, and collaboration with business stakeholders to enhance data usage within the organization.

CoffeeFood and BeverageRestaurantsTea

H1B Sponsor Likely

Responsibilities

Sets objectives and goals for the team

Creates an environment that encourages innovation and problem solving

Prioritizes initiatives and can relate all work directly to business requirements and stakeholders

Identifies and communicates roles and responsibilities, ensuring the team fits into the broader organization

Refines and optimizes the team structure to ensure close collaboration with other teams involved in common initiatives

Contributes to organizational capability and how we work together

Proactively communicates on emerging issues, shifts in priority, and new opportunities

Builds an environment of trust

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

Consults with business stakeholders to understand how data is needed and used within Starbucks

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

Provides coaching, feedback, and developmental opportunities to build an effective happy team: Inspires the team to achieve business results

Develops and supports individual career development plans

Nurtures a sense of purpose for all team members

Provides personalized coaching, direction, and leadership support to team members to achieve personal, business, and customer results

Strong understanding of relationship data

Deep experience in Graph data technologies

Comfortable with Taxonomy and Ontology

Strong SDLC knowledge. Leads the development of and adherence to development standards. Acts as a consultant to Data Science and Analytics teams to follow engineering practices

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

Applies the most appropriate technology to the specific use case

Researches and proposes technology, methods, and approaches to support new emerging trends in Starbucks data usage

Develops and maintains a data strategy that creates foundational data products supporting all Starbucks data personas and use cases

Develops a framework of data Products that supports all data usage use cases, including Operational reporting, Analytics, and AI/ML

Strong understanding of Information architecture and the development of an enterprise data landscape supporting, Data Science, Self-service and AI

Deep understanding on the data life cycle of an enterprise

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

Qualification

Data strategy developmentGraph data technologiesEnterprise Data experienceLeadership experienceSDLC knowledgeAgile methodologiesInformation architectureTeam buildingStakeholder managementCoachingProblem solving

Required

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