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We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Enterprise Technology plays a critical part in shaping the future of mobility. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people's lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

In this position...

We are seeking an experienced Data/Information Architect to provide data architecture for Ford Motor Company's Industrial Systems (IS) Data Strategy.

As a Data/Information Architect, you'll be responsible for designing and implementing a robust and scalable data strategy based on data-centric principles. You will also guide the implementation of the IS data Platform. You will collaborate with stakeholders and product teams to define data domains, onboard source systems, create data models, ensure data quality, map source to domain, assist in creating contracts, and provide architectural guidance for the implementation of the IS data platform. You will also maintain changes to the Enterprise Data Model (EDM) and IS Conceptual Data Model. The ideal candidate possesses a comprehensive understanding of data architecture principles, practical data modeling experience, and a solid grasp of data-centric architecture.

Based in Dearborn, MI, this is a hybrid position with a required four-day onsite presence each week. Relocation assistance may be available for qualified candidates. 

You'll have...

• Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience
• 8+ years overall IT experience.
• 5+ years of Data Architecture, Data Engineering, or advanced Database Design/Modeling experience in designing or implementing OLTP/RDBMS databases, Data Warehouse, Data Marts.  Additional Data Architecture/Design skills may include:
  • Knowledge of Master Data Management concepts and tools
  • Functional and Architecture Experience with one or more PLM platforms (e.g., Siemens' Teamcenter, Dassault's 3D Experience)
  • Knowledge of TOGAF, DAMA Architecture Framework and Standards
  • Ability to define data architecture principles, guidelines and standards
• 4+ years of hands-on experience creating data models using data modeling tools (e.g. Power Designer)
• 2+ years of experience in GCP technologies including Big Query, Alloy DB, PostgreSQL, Cloud Run, Mongo DB, Data Flow.  Similar cloud experience may be acceptable.
• Understanding and knowledge of AI capabilities and modeling semantic layer for a data platform

Even better, you may have...

• Master's degree in Computer Science, Data Analytics, Information Systems or similar field.
• Strong collaboration, people skills and communication expertise.
• Experience influencing/ guiding product teams in data analytics.
• Experience in defining and implementing data quality initiatives.
• Expertise in interoperability standards and methods
• Outstanding and proven leadership skills in working with senior-level management helping in decision-making.
• Demonstrated ability to work on multiple projects simultaneously.
• Strong ability to self-manage and develop work plans that employ appropriate methods to resolve ambiguity and build consensus for an architectural solution

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
   

This position is a salary grade 7 or 8 and ranges from $86,600- 166,200

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here:

https://fordcareers.co/GSR

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-Hybrid

#LI-LA1 

You'll have...

• Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience
• 8+ years overall IT experience.
• 5+ years of Data Architecture, Data Engineering, or advanced Database Design/Modeling experience in designing or implementing OLTP/RDBMS databases, Data Warehouse, Data Marts.  Additional Data Architecture/Design skills may include:
  • Knowledge of Master Data Management concepts and tools
  • Functional and Architecture Experience with one or more PLM platforms (e.g., Siemens' Teamcenter, Dassault's 3D Experience)
  • Knowledge of TOGAF, DAMA Architecture Framework and Standards
  • Ability to define data architecture principles, guidelines and standards
• 4+ years of hands-on experience creating data models using data modeling tools (e.g. Power Designer)
• 2+ years of experience in GCP technologies including Big Query, Alloy DB, PostgreSQL, Cloud Run, Mongo DB, Data Flow.  Similar cloud experience may be acceptable.
• Understanding and knowledge of AI capabilities and modeling semantic layer for a data platform

Even better, you may have...

• Master's degree in Computer Science, Data Analytics, Information Systems or similar field.
• Strong collaboration, people skills and communication expertise.
• Experience influencing/ guiding product teams in data analytics.
• Experience in defining and implementing data quality initiatives.
• Expertise in interoperability standards and methods
• Outstanding and proven leadership skills in working with senior-level management helping in decision-making.
• Demonstrated ability to work on multiple projects simultaneously.
• Strong ability to self-manage and develop work plans that employ appropriate methods to resolve ambiguity and build consensus for an architectural solution

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
This position is a salary grade 7 or 8 

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here:

https://fordcareers.co/GSR

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-Hybrid

#LI-LA1 

What you'll do...

• Provide consultation and data-strategy support for IS initiatives.
• Run EA IS Data Strategy Office Hours and provide guidance on data challenges.
• Partners closely with the EDP team-understand their roadmap and share relevant updates with IS EA architects.
• Design and develop information/data models (enterprise, conceptual, logical, and physical) for Industrial Systems; manage and maintain models in a Power Designer repository.
• Map applications to the conceptual data model, business processes, and business capabilities.
• Support product-team intake: translate use cases into data requirements and provide expert architecture guidance and designs.
• Lead discovery, onboarding, and analysis of sources into Industrial Systems Data Platform (ISDP); build deep understanding of the data landscape and enable integration of diverse sources into ISDP.
• Lead conceptual discussions to understand the data landscape; identify and evaluate candidate data sources; maintain data models and data dictionaries for identified source systems; and develop canonical domain models.
• Profile source-system data; define data-quality requirements, dimensions, and metrics; and guide monitoring, measurement, reporting, and issue remediation.
• Establish data-architecture principles, standards, best practices, and guidelines for the data platform (catalog, lineage, observability, security, interoperability).
• Perform proof-of-concepts and guide product teams in designing and developing solutions using GCP data-engineering technologies and tools.