Principal Architect Enterprise Data Analytics AI
Principal Architect Enterprise Data Analytics AI
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Salary Not Disclosed
1 Vacancy
Job Description
As a key member of the global enterprise architecture team that defines enterprise architecture strategy north star capability and architecture blueprints architecture standards and drives holistic and realization of the architecture vision the principal architect enterprise data analytics and AI will be playing a critical role in providing the architecture thought leadership along with influence across our global technology and business organizations.
- Establish holistic enterpriselevel technology vision strategy standards and capability roadmaps that set coherent context and direction connecting key enterprise data analytics and AI initiatives for consumer restaurant and company platforms.
- Design and develop enterprise data analytics and AI target state architectures standards and specifications supporting current and future business needs.
- Represent EA point of view in strategic initiatives to advise and develop short and longterm products and platforms roadmaps.
- Work in close collaboration with data and solution architects to provide guidance and gain alignment for design implementation and standardization.
- Apply EA capability modeling framework and domaindriven design principles in defining the tobe state architecture capability domain boundaries and evolution strategy.
- Define OKRs and KPIs for EA data analytics and AI foundations practice and drive measurable outcomes.
- Lead highly strategic initiatives and drive key technology decision and alignment at executive level.
- Mentor other architects and play a key role in maturing the enterprise architecture practice.
Benefits eligible: Yes
Bonus eligible: Yes
Long term incentive eligible: Yes
The expected salary range for this role is $168350 $218860
The above represents the expected salary range for this job requisition. Ultimately in determining your pay we may also consider your experience and other jobrelated factors.
Qualifications :
- Masters degree in computer science data Science AI or related field.
- Experience with data platforms and distributed data processing patterns & tools.
- Deep understanding in the major areas of Machine Learning Predictive & Generative AI.
- Proven experience in architecting and deploying data analytics and AI solutions.
- Expertise in the areas of model architecture data engineering data governance and ML engineering.
- Experience in designing solutions for prediction classification clustering anomaly detection conversational agents and information retrieval.
- Strong understanding of various AI architecture patterns & techniques.
- Experience with operationalizing machine learning systems using MLOPS
- Strong expertise with cloud onpremises and hybrid deployment models.
- Proven expertise of building AI ML Data Solutions using any of major cloud provider technologies.
- Strong analytical and architectural modeling skills. WellVersed in key architecture concepts and principles including DDD microservices REST APIs viewpoints and perspectives etc.
- Experience with all facets of architecture and engineering including application development platforms infrastructure security and deployment. Experience delivering largescale cloudnative solutions.
- Exposure to an enterprise level global technology landscape and a proven ability to establish standards and define future roadmaps for a global company.
- Ability to partner with business and technology stakeholders to define and communicate values and outcome of new or evolving capabilities.
- Strong interpersonal communication and collaboration skills.
- Systems thinker.
- Ability to analyze complex problems from technology business model and process as well as organizational lens.
- Ability to manage ad hoc demands along with organizational priorities and set realistic expectations.
- A selfinitiated influencer and strong stakeholder management.
DESIRED SKILLS:
- Professional Level AI/ML/Data & Analytics Certifications
- Proven success in leadership role and vision.
- Experience in delivering both operational/transactional solutions as well as analytics solutions.
- Expertise in Google Cloudbased data analytics and AI services.
Additional Information :
Benefits eligible: This position offers health and welfare benefits a 401(k) plan adoption assistance program educational assistance program flexible ways of working and time off policies (including sick leave parental leave and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
Bonus eligible: This position is eligible for a bonus calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonalds longterm incentive plan.
McDonalds is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feelgood moments for everyone. McDonalds provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process please contact . Reasonable accommodations will be determined on a casebycase basis.
McDonalds provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex sex stereotyping pregnancy (including pregnancy childbirth and medical conditions related to pregnancy childbirth or breastfeeding) race color religion ancestry or national origin age disability status medical condition marital status sexual orientation gender gender identity gender expression transgender status protected military or veteran status citizenship status genetic information or any other characteristic protected by federal state or local laws. This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
