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

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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 …