Data Quality Lead (Remote)

Date Posted:

2026-03-31

Country:

United States of America

Location:

US-CT-REMOTE

Position Role Type:

Remote

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

This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here. https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. 

Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

Data Quality Lead (Customer Support Operations)

This role defines data quality standards, implements controls and monitoring, and leads issue management across Customer Support managed metrics and data products. The role partners with data engineering, business data stewards, BAs, product owners and CS Ops leaders to ensure CS Ops data is a trusted as an authoritative source of truth CE reporting, analytics, and operational decision-making.

What You Will Do:

• Data quality framework and standards spanning data entry, auditing activities, and data product governance.

• Responsible for data quality/OTD measurement - metrics include: Operational (OTD), Data Quality (Auditing, escapes, timeliness, upstream/dependency management), and Governance (products w/ lineage identified/documented, etc.)

• Responsible for data quality auditing activities & SOW scope, driving automation and feedback to tools for high-quality data entry at the source.

• Define the CSDW data quality framework (dimensions, thresholds, severity levels, SLAs).

• Identify and maintain the list of Critical Data Elements (CDEs) for CS Ops and document associated quality rules.

• Translate business requirements into concrete data quality checks at source, integration, and presentation layers.

• Able to support data definition alignment conversations across CE teams (documentation, meeting preparation, facilitation w/ data management owner)

Monitoring, controls, and tooling

• Design and implement data quality monitoring (rules, dashboards, alerts) across CS Ops pipelines and products.

• Partner with engineering to embed automated controls in ETL/ELT processes and schedule regular quality checks.

• Responsible for documentation & resolution of upstream/downstream escapes – drive accountability of data quality to right domain owners.

• Maintain clear runbooks for recurring checks, including owners, schedules, and response playbooks.

Issue management and remediation

• Own the intake, triage, and prioritization of data quality issues impacting CSDW, MSD, PBI.

• Coordinate root-cause analysis with engineering and domain teams; track remediation from fix design through deployment.

• Maintain an issue log with impact, root cause, decisions, and permanent corrective actions.

• Stakeholder communication and governance

• Communicate data quality status, trends, and major incidents to CS Ops, analytics, and leadership in clear business language.

• Partner with business data stewards to align on definitions, acceptable use, and temporary workarounds when issues arise.

Qualifications You Must Have:

• Bachelor’s degree in Computer Science, Information Systems, Data/Information Management, Statistics, or related field; Or an Associates Degree and 10 years of experience as stated below.

• 8 years in data quality, data governance, data management, analytics engineering, or a closely related data role.

• Proficiency in SQL and experience investigating issues directly in a data warehouse (profiling, reconciliation, root