Senior Business Intelligence and Governance Architect

Senior Business Intelligence and Governance Architect

Company:

The Boeing Company

The Boeing Company’s Talent Analytics and Innovations team is currently seeking a Senior Business Intelligence and Governance Architect to join our team in Seattle, WA; Arlington, VA; North Charleston, SC or Berkeley, MO.

The HR Data Steward ensures the quality, integrity, privacy, and usable governance of HR data and metric definitions across the employee lifecycle and supports responsible use of Artificial Intelligence (AI) / Machine Learning (ML) in Human Resources (HR). This role partners with HR Business Partners, HR Information Technology (IT), Finance, Data Science/ML Engineering, Analytics, Legal/Privacy, and business leaders to define standards, remediate data issues, and review models so HR data and AI outputs are accurate, fair, explainable, and compliant.

Position Responsibilities:

• Define, document, and enforce HR data governance policies, data definitions, metadata, and lineage

• Maintain a data dictionary and feature catalog for HR domains, including metric definitions and 3rd party datasets

• Act as subject-matter expert for HR data elements (hire-to-retire), data flows, and master records

• Monitor, measure, and improve data quality (completeness, accuracy, consistency, timeliness, uniqueness); investigate root causes and coordinate remediation

• Implement data-validation rules, data-quality dashboards, Key Performance Indicators (KPI), and Service Level Agreement tracking

• Manage exception and reconciliation processes with HR operations, Talent Acquisition, Development and HR IT teams

• Support reporting and analytics by providing data context, certified datasets, and guidance on usage

• Ensure HR data handling adheres to privacy, security, and retention policies (e.g., GDPR, CCPA); coordinate with Legal, Privacy and Security teams

• Deliver user training and change management on data-management and usage best practices and governance processes

• Participate in AI/ML model governance lifecycle: intake, review, approval, monitoring, and decommissioning for HR models

• Review datasets used for training/validation: confirm representativeness, label quality, feature provenance, and linkage to canonical HR records

• Evaluate model inputs and outputs for appropriateness, interpretability, and the absence of impermissible/sensitive attributes unless explicitly justified and approved

• Define and apply evaluation criteria and metrics relevant to HR (accuracy, calibration, precision/recall, and fairness measures such as demographic parity or equalized odds) and interpret their operational implications

• Require and review documentation artifacts: model cards, data lineage, feature catalogs, version history, evaluation reports, and risk assessments

• Ensure explainability, human-in-the-loop controls, and decision-review processes for models influencing hiring, promotion, compensation, performance management, or disciplinary actions

• Monitor post-deployment performance and drift; trigger alerts, remediation, or retraining when thresholds are exceeded

• Enforce data minimization and privacy-preserving techniques (de-identification, synthetic data, access controls) for model training and inference

• Maintain or review audit trails for model predictions and decision logs to support investigations and compliance requests

• Coordinate model risk reviews and approvals with Ethics/AI governance, Legal/Privacy, Security, and HR leadership

• Educate HR stakeholders on model capabilities, limitations, appropriate use, and reporting obligations

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.

Basic Qualifications (Required Skills/Experience):

• 10+ years of experience in human resources operations, human resources information systems, human resources analytics, or data governance

• 10+ years of experience in Business Intelligence/data analytics tools (Microsoft Power BI, Dashboards, SQL, Tableau, etc.)

• 5+ years of experience with SQL and Graph databases

• 5+ years of experience with privacy-preserving techniques (de-identification, synthetic data, access controls)

Preferred Qualifications (Desired Skills/Experience):

• Bachelor’s degree in Human Resources, Information Management, Data Science, Business, or related field (or equivalent experience)

• Experience interpreting model and fairness metrics and translate technical findings into business risk and mitigation actions

• Experience with AI/ML model governance or model review responsibilities

• Experience with ML lifecycle concepts, model registries, and explainability/fairness tools (examples: MLflow, model registries, SHAP, LIME, AIF360)

• Strong analytical, problem-solving, and documentation skills

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: $149,600 – $216,200

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

This position offers relocation based on candidate eligibility.

Export Control Requirement:

This is not an Export Control position.

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)

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