Boeing
At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth.
The Boeing Company is currently seeking a
Data Quality Subject Matter Expert
to join the team in
Seattle, WA
or
El Segundo, CA . As the Data Quality Subject Matter Expert, you will lead the strategy and execution of data quality initiatives to ensure trusted, accurate, and timely information across Boeing’s aviation systems. Position Responsibilities: Define and implement enterprise data quality framework, standards, and processes (profiling, rules, thresholds, reconciliation, remediation) Develop and manage data quality metrics, SLAs, dashboards, and automated monitoring for critical aviation datasets (engineering data, telemetry, supply chain, HR, CDRL deliverables) Collaborate with Data Governance SME to ensure classification and custody inform quality controls and remediation priorities (e.g., ITAR/GTC‑controlled datasets) Design and implement data‑validation rules, transformation checks, and reconciliation processes across ETL/ELT pipelines and data stores Work with engineering, analytics, and platform teams to instrument data pipelines for observability (lineage, provenance, completeness, timeliness) Establish incident and remediation workflows: notify data owners, track tickets, and verify corrective actions; integrate with change control for production fixes Lead root‑cause analysis for recurring quality failures and drive permanent fixes with engineering and program teams Provide training, playbooks, and runbooks for local data stewards to own day‑to‑day quality maintenance Support audits, regulatory reporting, and contract deliverable verification; maintain records demonstrating data integrity and remedial actions Evaluate and recommend data quality tooling (automated profiling, metadata integration, anomaly detection) and support deployment with IT Basic Qualifications (Required Skills/Experience): 10+ years of experience developing and maintaining relationships and partnerships with senior management, customers, stakeholders, peers and partners 10+ years of experience in working with Data Quality or Data Cleansing activities 10+ years of experience in data governance, data management, or related function within aerospace, defense, or other highly regulated industries 10+ years of experience with data pipeline tools and Extract Transform Load (ETL) services Preferred Qualifications (Desired Skills/Experience): Bachelor's degree or equivalent work or military experience Experience with data quality tools (e.g., Great Expectations, Talend, Informatica, Ataccama, Collibra quality modules, etc.) Experience with data governance, data modeling, and master data management concepts Experience with operationalize ML/AI‑based anomaly detection for data quality Experience with stakeholder management and communication across technical and non‑technical teams Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
#J-18808-Ljbffr
Data Quality Subject Matter Expert
to join the team in
Seattle, WA
or
El Segundo, CA . As the Data Quality Subject Matter Expert, you will lead the strategy and execution of data quality initiatives to ensure trusted, accurate, and timely information across Boeing’s aviation systems. Position Responsibilities: Define and implement enterprise data quality framework, standards, and processes (profiling, rules, thresholds, reconciliation, remediation) Develop and manage data quality metrics, SLAs, dashboards, and automated monitoring for critical aviation datasets (engineering data, telemetry, supply chain, HR, CDRL deliverables) Collaborate with Data Governance SME to ensure classification and custody inform quality controls and remediation priorities (e.g., ITAR/GTC‑controlled datasets) Design and implement data‑validation rules, transformation checks, and reconciliation processes across ETL/ELT pipelines and data stores Work with engineering, analytics, and platform teams to instrument data pipelines for observability (lineage, provenance, completeness, timeliness) Establish incident and remediation workflows: notify data owners, track tickets, and verify corrective actions; integrate with change control for production fixes Lead root‑cause analysis for recurring quality failures and drive permanent fixes with engineering and program teams Provide training, playbooks, and runbooks for local data stewards to own day‑to‑day quality maintenance Support audits, regulatory reporting, and contract deliverable verification; maintain records demonstrating data integrity and remedial actions Evaluate and recommend data quality tooling (automated profiling, metadata integration, anomaly detection) and support deployment with IT Basic Qualifications (Required Skills/Experience): 10+ years of experience developing and maintaining relationships and partnerships with senior management, customers, stakeholders, peers and partners 10+ years of experience in working with Data Quality or Data Cleansing activities 10+ years of experience in data governance, data management, or related function within aerospace, defense, or other highly regulated industries 10+ years of experience with data pipeline tools and Extract Transform Load (ETL) services Preferred Qualifications (Desired Skills/Experience): Bachelor's degree or equivalent work or military experience Experience with data quality tools (e.g., Great Expectations, Talend, Informatica, Ataccama, Collibra quality modules, etc.) Experience with data governance, data modeling, and master data management concepts Experience with operationalize ML/AI‑based anomaly detection for data quality Experience with stakeholder management and communication across technical and non‑technical teams Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
#J-18808-Ljbffr