FreshRemote.Work

Solutions Architect, Senior Manager – Data and Analytics (Remote)

PW208: Connecticut Remote Remote Location , Remote City, CT, 06035 USA

Date Posted:

2024-12-03

Country:

United States of America

Location:

PW208: Connecticut Remote Remote Location , Remote City, CT, 06035 USA

Position Role Type:

Remote

Pratt & 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.

Innovation through diversity of thought. At Pratt & Whitney, we believe diversity of thought enables creativity, innovation, and a foundation for inclusion. By fostering an inclusive culture, we accept a shared accountability and responsibility to recognize, sponsor, coach, hire and promote talent equally. We welcome our employees to be their whole - best - selves at work because trust, respect and integrity, are a part of our DNA.

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 a Solutions Architect, Senior Manager – Data and Analytics!

What You Will Do:

The Solutions Architect - Data and Analytics will play a pivotal role in shaping our data strategy, platforms, and architecture. You will be responsible for designing and implementing robust data platforms that support Pratt and Whitney’s data strategy goals. Your expertise will guide us in harnessing the power of data analytics to optimize manufacturing processes, enhance product quality, and accelerate business growth.  This role will bridge the gap between business problems and technology solutions.

  • Collaborate with citizen data developers in the business and analysts to ensure the data platform meets customer needs and user experience.

  • Develop and maintain a comprehensive data platform strategy that aligns with our business objectives, focusing on scalability, security, and performance. 

  • Design and implement an enterprise data architecture that integrates with our existing systems and supports advanced analytics, machine learning, and AI initiatives. 

  • Collaborate with data governance leaders to develop and enforce data governance and quality standards, ensuring data integrity and compliance with regulatory requirements. 

  • Evaluate and recommend new data technologies and tools to enhance our analytics capabilities and drive innovation. 

  • Oversee the management of data assets, including data sourcing, storage, and access, to ensure availability and reliability for end-users. 

  • Provide leadership and guidance on best practices in data management, analytics, and architecture to technical and non-technical teams. 

Qualifications You Must Have:

  • Bachelor’s degree in computer science, Information Technology, Data Science, or a related technical field and 10+ years of experience in a data architecture, data engineering, or software engineering; OR an Advanced degree in computer science, Information Technology, Data Science, or a related technical field and 7+ years of experience in a data architecture, data engineering, or software engineering.

  • Must be a U.S. Citizen – this position may require access to systems/tools that are restricted to individuals who possess US citizenship.

Qualifications We Prefer:

  • Strong customer focus and product management skills. 

  • Strong understanding of the aviation industry, including key processes, challenges, and regulatory environment. 

  • Expertise in designing and implementing enterprise data solutions, with a solid background in data modeling, data warehousing, and ETL processes. 

  • Proficiency in big data technologies, cloud platforms, and analytics tools. 

  • Demonstrated ability to lead and manage projects involving cross-functional teams. 

  • Excellent communication and interpersonal skills, with the ability to convey complex data concepts to non-technical stakeholders. 

  • Strong analytical and problem-solving abilities, with a focus on innovation and continuous improvement. 

Learn More & Apply Now:

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. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.

The salary range for this role is 118,000 USD - 246,000 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/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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Job Profile

Regions

North America

Countries

United States

Restrictions

Hybrid Must be a U.S. Citizen Onsite Remote Opportunity U.S. Citizen

Benefits/Perks

Accountability Career growth Dental Disability Diversity of thought Employee Assistance Program Flexible Spending Flexible Spending Accounts Flexible work schedules Hybrid work Inclusive culture Innovation Life Insurance Medical Paid Time Off Parental leave Remote opportunity Remote work Respect Scholar program Trust Vision

Tasks
  • Collaborate with data developers
  • Continuous Improvement
  • Data Management
  • Design
  • Design data platforms
  • Develop
  • Develop data strategy
  • Drive innovation
  • Ensure data governance
  • Implement data architecture
  • Manage projects
  • Support
Skills

Advanced Analytics AI Analytical Analytics Analytics tools Architecture Availability Aviation Best Practices Big Data Big Data Technologies Business Cloud Cloud platforms Cloud Technologies Communication Compliance Computer Computer Science Continuous Improvement Data Data & Analytics Data Architecture Data engineering Data Governance Data integrity Data Management Data Modeling Data Platforms Data Science Data Solutions Data Strategy Data Warehousing Design Engineering ETL ETL Processes Governance Information Technology Innovation Integrity Interpersonal IT Leadership Machine Learning Manufacturing Manufacturing processes Modeling Organization Problem-solving Product Management Quality Recruiting Regulatory requirements Reliability Security Software Software Engineering Sourcing Strategy Technical Training Transformation User Experience

Experience

7-10 years

Education

Advanced degree Analytics AS Bachelor Bachelor's degree Business Computer Science Data Science Degree Education Engineering Information Technology IT Quality Related technical field Science Software Engineering Technical field Technology

Timezones

America/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