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Lead Systems and Data Analyst

$148.75k - $215.05k
Full-time

Boeing

Lead Systems and Data Analyst Company: The Boeing Company The Boeing Company is currently seeking a Lead Systems and Data Analyst join the team in Tukwila, WA; Everett, WA; Mesa, AZ; Plano, TX; Renton, WA; Ridley Park, PA or Seattle, WA. We are seeking a proactive Data Steward to serve as the single point of contact between business stakeholders and engineering teams. The ideal candidate will gather and translate business requirements, ensure data is well-defined, accessible, and fit for purpose, and partner closely with engineering to design, develop, test, and deploy data solutions. A deep understanding of end-to-end process flows, data lifecycle, governance, and data quality management is essential. Behavioral Competencies Customer-focused with a service mindset Strong collaboration and facilitation skills Detail-oriented and organized with the ability to manage multiple priorities Proactive ownership and accountability; drives issues to resolution Comfortable working in cross-functional, agile environments Success Metrics Timely collection and delivery of business requirements and technical specifications Reduction in data quality incidents and faster mean time to resolution (MTTR) Increased adoption and accuracy of business glossaries and metadata Measurable improvements in data access request turnaround times Positive stakeholder satisfaction scores with data products and services Position Responsibilities: Act as the single point of contact for assigned data domains; build and maintain strong relationships with business stakeholders and engineering teams Elicit, document, and prioritize business requirements related to data definitions, access, transformations, and reporting needs Translate business requirements into technical specifications and acceptance criteria for engineering Partner with engineering and data platform teams to design, develop, test, and deploy data solutions Extraction Transform Load/Extraction Load Transform (ETL/ELT, models, pipelines, reports) Define and maintain data definitions, business glossary, canonical records, and metadata to ensure consistent use across the organization Own data access processes: manage access requests, role-based access controls, and ensure compliance with security and privacy policies Implement and monitor data quality rules, perform profiling, triage issues, and coordinate corrective actions with data owners and engineering Map and maintain data lineage and end-to-end process flow documentation to support traceability and impact analysis Establish Key Performance Indicators (KPIs) and Service Level Agreements (SLAs) for data quality, availability, and timeliness; report status and trends to stakeholders and leadership Facilitate data governance forums, stewardship councils, and working groups to drive standards, policies, and issue resolution Support onboarding of new data consumers by providing training, documentation, and self-service resources (data catalogs, playbooks) Advocate for continuous improvement in data processes, automation, and observability Basic Qualifications (Required Skills/Experience): 10+ years of experience as a data or business analyst 10+ years of experience leading Data and Artificial Intelligence (AI) Governance Programs 10+ years of experience in Artificial Intelligence (AI) governance, data governance, or related governance / compliance roles 10+ years of experience with data governance frameworks and compliance standards relevant to data management 10+ years of experience partnering directly with product, platform, engineering, or technical operations teams to implement governance within delivery environments 10+ years of experience with integrating export controls, sanctions, or government contract requirements (ITAR/EAR/GTC/CDRL) into data governance 10+ years of experience working with Data Quality or Data Cleansing activities 10+ years of experience demonstrating exceptional business, analytical, and problem-solving skills Preferred Qualifications (Preferred Skills/Experience): Excellent communication skills; able to present complex data topics to business and technical audiences Proficiency with SQL for data exploration and validation Experience with data catalog/metadata tools (e.g., Collibra, Alation, Informatica) Experience with data integration and orchestration tools (e.g., Airflow, Talend, DBT) Experience with cloud data platforms (e.g., AWS, Azure, GCP) and data warehousing technologies (Snowflake, Redshift, BigQuery) Knowledge of data modeling concepts (conceptual, logical, physical) and MDM principles Experience with data quality tooling (e.g., Great Expectations, Deequ, Talend Data Quality) Certifications in data governance, data management, or cloud platforms are a plus Conflict of Interest: Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process. 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. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $148,750 - $215,050 Language Requirements: Not Applicable Education: Not Applicable Relocation: Relocation assistance is not a negotiable benefit for this position. Export Control Requirement: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position does not require a Security Clearance. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning 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. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish) You can do work that enables all of humanity to take flight. Our teammates in more than 65 countries grow their careers across commercial airplanes, space, defense, sustainability and other areas. Here, you can contribute to what matters most in your career, in your community and around the world. Find answers to questions about applying, interviews, benefits, and more on FAQ page Boeing is committed to providing reasonable accommodations/adjustments to applicants with disabilities. Visit our accommodations page for more info.

Vacancy posted 11 hours ago
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