Senior Manager, Data Governance & Maturity (Remote)

Date Posted:

2025-08-27

Country:

United States of America

Location:

PW100: East Hartford 400 Main Street, East Hartford, CT, 06118 USA

Position Role Type:

Remote

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance:

None/Not Required

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 tightknit 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?

What You Will Do:

The Senior Manager, Data Governance & Maturity, will lead the deployment, execution, and continuous improvement of the Commercial Engine Operations data governance framework, with a strong focus on enabling data quality, accessibility, compliance, and value generation.

This role will serve as a bridge between business, technology, and analytics teams, ensuring that data assets are managed strategically and leveraged effectively. Additionally, they will support the identification, readiness assessment, piloting, and implementation of Artificial Intelligence (AI) initiatives that drive operational efficiency, innovation, and business growth.

• Deploy, execute, and mature the data governance strategy and standard work in alignment with business objectives and enterprise requirements; deploy training programs to educate the organization on the data governance program, tools required, and importance of their role in sustained success.

• Serve as a liaison between leadership, business units, and technical teams to ensure adoption and integration of governance principles; establish and maintain data stewardship networks to ensure accountability and ownership of data assets (Communities of Practice)

• Oversee the deployment of data dictionaries, glossaries, and metadata repositories; implement data quality metrics, controls, and monitoring processes to ensure trusted, high-quality data; drive adoption of master data management (MDM) and reference data standards across the organization.

• Support the deployment and adoption of digital enablement initiatives as they are released across the enterprise; identify AI opportunities aligned with business priorities, operational needs, and available data assets; collaborate with data scientists, analytics, and IT teams to evaluate AI tools, platforms, and methodologies for adoption ensuring alignment between IT and business process owners.

• Monitor AI project outcomes, ensuring continuous improvement and measurable ROI; lead organizational change management efforts to embed data governance and AI literacy across functions.

• Deploy training programs and resources to promote best practices in data management and communicate program milestones, progress, and impacts to stakeholders.

• Quarterly travel or more, is required to the corporate location quarterly

Qualifications You Must Have:

• Bachelor’s degree and 10 or more years' experience in a data management, information systems, computer science, technology or closely related discipline OR a Master's Degree 7 or more years' experience or more years' experience in a data management, information systems, computer science, technology or closely related discipline.

• Experience with AI project identification, piloting, and implementation.

• Working knowledge of data privacy regulations and compliance requirements.

• Experience with tools such as Axon, Informatica, Alation, Azure Purview, or similar

• Functional knowledge of frameworks such as DAMA-DMBOK, DCAM, or equivalent.

• Understanding of AI/ML concepts, lifecycle management, and ethical considerations.

• Familiarity with data architecture, MDM, metadata management, cloud platforms, and AI toolsets.

• Demonstrated proficiency with Microsoft tool suite O365

Qualifications We Prefer:

• Degree in a STEM field.

• Experience working in a highly regulated industries (e.g., financial services, h