Top Tech Jobs & Startup Jobs in Seattle, WA

Design and administer enterprise dashboards and reporting solutions (Tableau, Power BI, Microsoft Fabric). Translate complex business questions into compelling data stories, partner with stakeholders and BI engineers, champion visualization standards and governance, mentor analysts, and improve reporting usability and trust across the organization.

Lead AI risk assessments, reviews, and monitoring to support AI governance at a financial institution. Evaluate internal and third-party AI solutions, maintain an enterprise AI inventory, analyze controls and risk metrics, build dashboards and reports, and provide quantitative and advisory support across stakeholders to enable responsible AI adoption and regulatory readiness.

Leads BECU’s enterprise product management function, establishing product lifecycle standards, governance, operating models, and roadmap practices. Coaches product leaders and product coaches, aligns business and technology priorities, manages dependencies and execution risks, and advises senior leadership. The role also leads product councils, supports talent development, and drives product transformation across a complex, matrixed organization.

Owns strategy, vision, roadmaps, and full lifecycle delivery for business banking and payments products. Leads discovery, prioritization, launches, performance measurement, pricing, optimization, and growth initiatives. Partners across technology, operations, compliance, legal, finance, customer service, vendors, and business teams to balance member needs, financial outcomes, risk, and technical feasibility. The role focuses on improving solutions for small business members and driving enterprise-wide product decisions.

Develop and enhance quantitative financial models supporting Treasury, asset liability management, interest-rate risk, mortgage hedging, pricing, profitability, and portfolio risk decisions. Analyze fixed income, derivatives, duration, convexity, stress scenarios, deposits, and prepayments. Automate workflows with Python and Excel/VBA, modernize analytics in Snowflake, document model governance, and communicate insights to Treasury, Risk, Credit, Product, and portfolio leaders.

Designs and develops complex cloud-native data solutions, scalable batch and real-time pipelines, APIs, data models, and enterprise data platforms. Implements data governance, quality, lineage, security, observability, CI/CD, automated testing, and operational reporting capabilities. Collaborates with architects, product owners, analysts, governance, security, and platform teams on technology strategy and cloud modernization. Mentors engineers, leads technical design discussions, presents recommendations, and supports AI-ready data products and emerging development tools.

Lead the development of AI products, design scalable systems, advance AI foundations, collaborate with stakeholders, ensure quality practices, and mentor engineers.

Designs and develops enterprise cloud data solutions, including batch, near-real-time, and API-based pipelines. Builds data models, warehouses, lakes, and lakehouses while implementing governance, quality, lineage, and curation practices. Supports CI/CD, testing, monitoring, observability, security, and compliance. Collaborates with architects, product owners, analysts, and leadership on platform strategy and modernization. Mentors engineers, leads reviews, presents technical topics, and explores AI-enabled data capabilities.

Develops, calibrates, validates, and maintains credit risk models, including PD, LGD, and EAD models, for lending, collections, loss forecasting, capital planning, and stress testing. Analyzes large datasets, evaluates model performance, documents model changes, supports systems testing, and communicates statistical insights to stakeholders and management. Collaborates across the credit union to improve risk-return strategies and reporting.

Develop and enhance core banking applications through requirements analysis, coding, testing, debugging, documentation, deployment, and production support. Partner with business and technical stakeholders to deliver scalable solutions, improve processes, automate workflows, and enhance user experience. Participate in code reviews, technology roadmap discussions, continuous improvement initiatives, and an on-call rotation for troubleshooting critical production systems.