Enterprise Information Architect (Remote)
PW208: Connecticut Remote Remote Location , Remote City, CT, 06035 USA, United States
Date Posted:
2025-02-25Country:
United States of AmericaLocation:
PW208: Connecticut Remote Remote Location , Remote City, CT, 06035 USAPosition Role Type:
RemotePratt & Whitney is working to once again transform the future of flight - designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious.
Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.
At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?
We have an exciting remote opportunity for an Enterprise Information Architect!
What You Will Do:
- Develop and maintain the enterprise information architecture strategy and roadmap to align with overall business objectives.
- Design, implement, and manage data governance policies and procedures to ensure data quality, consistency, and security across the organization.
- Establish and oversee comprehensive metadata management practices to support data discoverability, understanding, and proper utilization.
- Develop and maintain enterprise information architecture standards, reference models, and patterns that guide implementation across the organization.
- Collaborate with the Digital Technology and Data Science (DTDS) team, the Data, Platforms, & Analytics team, and business stakeholders to identify information needs and translate them into data models and architecture solutions.
- Identify, map, and maintain high-level information flows within the enterprise.
- Identify and resolve semantic conflicts across systems and business domains to enable consistent interpretation of information.
Qualifications You Must Have:
- Bachelor’s degree in engineering, Mathematics, Computer Science, Information Technology, or Information Systems and 12+ years of experience in Information Technology that includes 10+ years of experience in data architecture, data modeling, and database design; OR an Advanced degree in Engineering, Computer Science, Information Technology, or Information Systems and 10+ years of experience in Information Technology that includes 10+ years of experience in data architecture, data modeling, and database design.
- Demonstrated expertise in metadata management frameworks and tools.
- Experience in building an enterprise taxonomy with definitions of key terms across enterprise domains and their hierarchical classification. Evolving the defined taxonomy into an ontology by adding relationships, attributes, and contextual meaning.
- Experience with various data modeling methodologies and tools, including dimensional modeling and entity-relationship modeling.
- Proven experience with master data management and reference data management concepts and implementation.
- Strong understanding of data governance principles and practices.
- Ability to provide strategic technical leadership and lead by influence the creation of long-term strategy (e.g., more than 3 years) roadmaps in a virtual environment.
- Possess exceptional written and oral communication skills, can develop clear, concise, and logically written business communications, as well as deliver recommendations.
Qualifications We Prefer:
- Additional certifications (e.g., TOGAF, DAMA, CDMP).
- Demonstrated effectiveness working in a complex, service-intensive, deadline-driven environment.
- Ability to build strong relationships to leverage information and insights across key groups.
- Strong personal leadership, organizational, relationship-building, and negotiation skills.
- Outstanding formal and informal presentation skills.
- Familiarity with cloud-based data platforms and big data technologies (e.g., AWS, Azure, GCP, Hadoop, Spark).
- Familiarity with machine learning and AI data requirements and governance.
- ArchiMate modelling language and Sparx Enterprise Architect.
- Familiarity with API management, strategy, and microservices architecture, including understanding of API architectural patterns, ability to define API standards and integration frameworks across the enterprise, and skill in articulating their benefits for business capability reuse, system interoperability, and data exchange optimization.
- Self-starter with self-confidence, enthusiasm, and strong customer service orientation
Learn More & Apply Now:
What is my role type?
In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment.
This role is:
Remote: Employees who are working in Remote roles will work primarily offsite (from home).
Candidates will learn more about role type and current site status throughout the recruiting process.
*This requisition is eligible for an employee referral award. ALL eligibility requirements must be met to receive the referral award.
The salary range for this role is 147,000 USD - 295,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
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Remote Opportunity
Benefits/PerksCareer growth Dental Disability Employee Assistance Program Employee referral award Flexible Spending Flexible Spending Accounts Flexible work schedules Life Insurance Medical Paid Time Off Parental leave Remote opportunity Remote work Scholar program Tight-knit team Vision
Tasks- Build
- Collaborate with teams
- Data Management
- Design
- Design data governance policies
- Develop
- Develop information architecture strategy
- Ensure data quality
- Implementation
- Integration
- Manage metadata practices
- Resolve semantic conflicts
- Support
AI Analytics API API Management Architecture AWS Azure Big Data Big Data Technologies Business Classification Cloud Communication Communications Compliance Computer Computer Science Customer service Data Data Architecture Database design Data Governance Data Management Data Modeling Data Models Data Platforms Data Quality Data Science Design Digital Digital technology Dimensional Modeling Engineering Entity/Relationship Modeling Exchange GCP Governance Hadoop Implementation Influence Information systems Information Technology Integration IT Leadership Machine Learning Management Master Data Management Mathematics Metadata Management Microservices Modeling Negotiation Optimization Oral communication Organization Organizational Presentation Quality Recommendations Recruiting Reference data management Security Spark Strategic Leadership Strategy Technical Technical Leadership TOGAF Training Transformation
Experience10 years
EducationAdvanced degree Analytics AS Bachelor Bachelor's degree Business Communications Computer Science Data Science Degree Degree in Engineering Education Engineering Information Systems Information Technology IT Master Mathematics Quality Science Technology
Certifications TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9