Principal Enterprise Architect – AI/ML, Data Science and analytics- REMOTE

Key Skills

Java Programming, Python Programming, SQL, PowerBI, Scala Programming, Tableau, R Programming

Job Description

From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
We are seeking a Principal Enterprise Architect with focused expertise on Artificial Intelligence and Machine Learning, Data analytics Data science. This role will chart the course for the future of Starbucks’ AI trajectory and will be instrumental in leading the way to meet our critical data analytical goals in shaping the future of a digital environment. This is a high impact role that gets to build roadmaps for data lakes and artificial intelligence platforms that operate at petabyte scale using cloud technologies.

In this critical role, you will…

• Partner closely with the office of the Chief Data Officer, BI & Data Services, Engineering, Solutions design, Partner, and other business units to drive solutions for automation, AI/ML use cases, EDAP and other Analytics driven technology solutions to business scenarios. 
• Collaborate with technology teams to develop architecture blueprints, roadmaps, and position papers for the cloud data lake, supporting use cases spanning across Starbucks’ lines of business, including Marketing, Retail, Supply Chain, and Customer Analytics. ]
• Design and set the future state for master data systems, including those responsible for collecting and syndicating information about stores and equipment. 
• Develop and evangelize patterns, principles, and best practices for infusing analytics and artificial intelligence into new solutions being developed or planned. 
• Assist in the identification and evaluation of new technologies or software to enhance the data and analytics platforms at Starbucks. 
• Develop Voice of the customer (VoC’s), bring industry expertise and revenue driven mindset in solving with AI/ML.

An ideal person for this job is…

• A dynamic Technology evangelist that has strong software design and platform architecture roots.
• A tech-visionary with positive ‘can-do’ attitude and ambition to build for excellence
• Is comfortable with ambiguity and can lead through behavioral and structural transformation
• Has entrepreneurial mindset in innovating, finding breakthroughs and has a growth mindset
• Whose second nature is to roll-up-sleeves when needed and lead the path in developing world-class, patentable next-gen AI/ML solutions for the business of coffee.

Tool kits you’ll need to lead in this role…

• Ability to influence and impact the technical platform decisions by engaging with CTO/CDO/EA/Engineering leaders
•  Strong story-telling ability and willingness to navigate cross functionally across a complex tech ecosystem
• Strong background in software engineering as well as ability to formulate big picture business strategy 
• Experience working in a large-global enterprise, building trust and relationships with multi-cultural and cross functional stakeholders
• People-first leadership style, strong executive communications, ability to thrive in a diverse global environment with high emotional intelligence

If this sounds like you, we’d like to have coffee with you! Let’s immerse on a journey that shapes the future of coffee, transforming one person, one cup and one neighborhood at a time.

Primary Responsibilities:

• Document current state architecture for reporting and analytics systems by developing integration blueprints and capability models
• Develop or utilize information models to build a logical level inventory of the data lake to drive conversations with technology and analytics leaders about future investment and gaps
• Provide solution design for analytics use cases across lines of business, including consulting with other teams about best practices for utilizing the data lake, or appropriate solution design for implementing analytics in new products or solutions
• Track industry and technology trends to identify new approaches or paradigms in data and analytics and use this information to influence leaders and develop future states and roadmaps
• Work with project teams to develop best practices for instrumenting solutions to capture ground truth information and designing integration approaches to data systems
• Support teams developing and maintaining master data repositories with systems design and architecture points of view to establish appropriate bounded contexts for systems and interfaces
• Ideate and scope new projects or solutions in collaboration with leaders in technology and analytics to unlock new capabilities or support new business initiatives

Education and Training and Experience:

• Bachelor’s degree in computer science, computer engineering, electrical engineering, system analysis or a related field of study, or equivalent experience. 
• Ten or more years of experience in Information Technology or a data architecture role 
• 5 years’ working experience in system design
• 5 years’ working experience in data modeling, design, or analysis

Required Knowledge and Skills:

• Excellent interpersonal skills in areas such as teamwork, facilitation, and negotiation
• Strong written, verbal communication skills along with strong “story telling” and presentation skills
•  Ability to understand the long-term (big picture) and short-term perspectives of situations
• Ability to estimate the impact of individual solution architecture alternatives
• Ability to define multiple solution options to business problems
• Understanding and use of Human Centered Design principles & methodologies
• Experience working with at least one of the major cloud providers (GCP, Azure, AWS) 
• Experience designing cloud data lakes and enterprise data warehouses
• Deep understanding of the machine learning development lifecycle 
• Experience with machine learning frameworks and algorithm development 
• Familiarity with architecture principles and frameworks like TOGAF