Process Analyst; Software Process Analysis

Process Analyst (Software Process Analysis)

Company:
The Boeing Company

The Supply Chain Domain Data Steward is a business‑domain role responsible for the governance, quality, and usability of supply chain data across planning, procurement, manufacturing, inventory, and logistics for Boeing Defense, Space & Security (BDS). This role partners with Supply Chain leadership, Data Engineering, MDM, Data Governance, Security/Compliance, and analytics teams to define canonical definitions, enforce data policies, drive remediation, and ensure supply chain data is trusted and fit‑for‑purpose.

Preferred locations include Seattle, Everett, Bothell, Renton (WA);
Berkeley, St. Louis, St. Charles, Hazelwood (MO);
Huntsville (AL);
Mesa (AZ);
Ridley Park (PA);
Denver (CO);
Dallas (TX).

• Define and maintain canonical business definitions, taxonomies, and metadata for supply‑chain entities (e.g., SKU/Product, Supplier, Purchase Order, Lot/Batch, Inventory Location, Shipment).
• Own domain metadata and lineage in the enterprise data catalog; ensure accuracy for critical operational and reporting datasets.
• Establish, prioritize, and monitor domain–specific data quality rules and KPIs (completeness, accuracy, uniqueness, timeliness); lead root‑cause analysis and remediation.
• Approve and steward changes to domain data models, attribute definitions, and integration mappings; ensure alignment with MDM and enterprise models.
• Enforce data policies for retention, sensitivity, privacy, and access relevant to supply‑chain data (including defense/data classification requirements).
• Translate business requirements into data requirements; validate delivered datasets, reports, and transformations meet business intent.
• Lead cross‑functional working groups to resolve data issues impacting operations, planning, or compliance.
• Evangelize stewardship best practices, mentor junior stewards/SMEs, and represent supply‑chain in data governance forums.
• Create domain playbooks, training materials, and consumer guidance for supply‑chain data usage.

• Bachelor’s degree or equivalent experience.
• 3+ years experience in supply‑chain functions (operations, planning, procurement, logistics) with demonstrated data governance/stewardship responsibilities.
• 1+ years performing data stewardship, domain governance, or master data support in an enterprise environment.
• Strong domain knowledge of ERP/WMS/TMS, product hierarchies, supplier management, and inventory concepts.

• Bachelor’s degree in supply‑chain management, business, information systems, or data management.
• Experience authoring business glossaries, data definitions, lineage annotations, and data quality rules.
• Familiarity with MDM concepts, data catalogs, ETL/data pipeline patterns, and BI/reporting workflows.
• Experience with data governance and catalog tools (e.g., Collibra, Alation, Informatica EDC).
• Experience with SAP S/4.

• Position is hybrid, requiring on‑site work at one of the listed locations.
• Works 1st shift.
• Must meet U.S. export control compliance requirements and be a U.S. Person (citizen, lawful permanent resident, refugee, or asylee).
• Ability to obtain a U.S. Security Clearance (including Top Secret/SCI) may be required post‑start.
• Relocation assistance not offered; candidates must live in the immediate area or relocate at their own expense.
• Travel may be up to 10% of the time.

Competitive base pay and variable compensation opportunities. Eligibility for health insurance, flexible spending accounts, health savings accounts, retirement plans, life and disability insurance, and paid and unpaid time off. Pay typically based on experience and qualifications. Summary pay range: $96,050-$139,150.

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.