Top Tech Jobs & Startup Jobs in Seattle, WA

Lead development and enforcement of enterprise data governance policies, frameworks, and tools. Collaborate with data stewards, IT, and business stakeholders to ensure data quality, lineage, metadata management, and regulatory compliance. Run governance committees, deliver training, assess data quality, recommend tools, and report metrics to senior management.

Lead and manage network and systems teams to design, configure, secure, and maintain LAN/WAN, cloud, and telephony environments. Oversee firewalls, SASE/zero trust, monitoring, disaster recovery, audits (SSAE/SOX), large deployments, vendor troubleshooting, and user/network access management.

Design, develop, test, and maintain in-house IBM i applications using RPG, CL, Websmart and DB2. Collaborate with business partners and analysts to translate requirements, troubleshoot production issues, mentor junior staff, lead projects, and drive process improvements.

Lead Data QA for the Enterprise Data Warehouse: define QA strategy, design and execute source-to-target validations, CDC and ETL checks, data masking verification, build quality dashboards and automations, mentor QA analysts, manage defects and release readiness, and collaborate with Data Engineering, BI, Product, and stakeholders to ensure data is accurate, complete, and audit-ready.

Lead enterprise data governance by defining metadata, CDEs, data quality rules, and catalog/lineage. Partner with stewards, owners, IT and business stakeholders to monitor data quality, automate governance workflows, certify reports, and implement governance tooling (e.g., Collibra). Ensure PII handling, document processes, train users, and drive continuous improvement.

Lead and manage Accounts Payable for Default Management, overseeing invoice processing in ICE, reconciling loan-level default ledgers (TBB2), driving automation, KPI monitoring, stakeholder collaboration, and team development to ensure compliant, timely payments and accurate reporting.