Top Senior Level Data Management Jobs in Seattle, WA

The Associate Director, Data Science will lead the development and implementation of supply chain optimization models using advanced data science techniques. This role involves working with large data sets, optimizing procurement strategies, and implementing process improvements, while collaborating with various supply chain teams to enhance performance.

The Senior Machine Learning Engineering Manager will oversee the end-to-end machine learning lifecycle, manage core service development, mentor team members, and collaborate with product managers and various teams to enhance AI/ML modeling solutions for business applications.

The Lead Release Management Analyst will support release strategy by developing plans, schedules, and documentation in collaboration with cross-functional teams. They will drive quality metrics, track release progress, and facilitate agile methodologies to increase efficiency. This role involves mentoring team members, developing onboarding programs, and conducting tactical and strategic analysis.

The Data Science Director for Product Analytics will lead a team of data scientists and engineers to develop product-related metrics and insights, deliver self-service analytics, and support reporting efforts for executives. Additional responsibilities include building analytics infrastructure and promoting effective data usage across the company.

The Director of Data & Analytics at Wipfli leads the firm’s data strategy, ensuring effective data management and governance. They collaborate with leadership to define and maintain the analytics vision, establish metrics and KPIs, oversee data quality, and guide data stewardship and AI initiatives. This role involves managing a team to unlock the value of data for strategic decision-making and operational efficiency.

The Data Applications Manager will lead the development and implementation of data integration strategies and operational reporting solutions. The role requires managing enterprise-level systems and ensuring seamless data ecosystem performance while overseeing technical team management and stakeholder engagement.

As the Data Engineering Manager at Dandy, you will lead the centralized data engineering team, shape its culture, and establish scalable data processes and infrastructure. You will collaborate with cross-functional teams to optimize workflows, develop a robust data platform, and advocate for a data-driven culture throughout the organization.