Top Senior Level Data & Analytics Jobs in Washington DC,

The Privacy and Data Protection Counsel will advise on global privacy and data protection legal matters, assist in scaling the privacy program, manage privacy operations and large-scale projects, and ensure compliance with laws such as HIPAA and GDPR. Responsibilities include conducting privacy reviews, monitoring legal updates, and negotiating privacy terms in agreements.

In this role, you will design and implement data pipelines, manage data integration on cloud platforms, ensure data accuracy, and maintain compliance with healthcare regulations. You will lead collaborations with clients and teams, optimize data processes, and mentor junior engineers while staying informed on industry trends.

The Head of Data will shape the data strategy at Gemini, build a high-performance data team, manage data infrastructure, optimize data warehousing, and drive data-driven initiatives across the organization. Responsibilities include overseeing data management, analytics, and collaborating with executive leadership on data integration into business strategies.

As a Lead Data Engineer, you will design, develop, and implement data pipelines, warehouses, and lakes while ensuring data quality and accuracy. You will lead strategic discussions, document requirements, and develop scalable data solutions. Additionally, you will maintain data infrastructure and stay updated on emerging technologies.

The Operations & Analytics Manager at Aptos will develop strategic plans to optimize operations, manage resources, enhance ecosystem growth, conduct data analytics, and mitigate risks. This role involves collaborating closely with leadership and various departments within the organization.

The GCP Data Engineer will design, build, and maintain large-scale data infrastructure, optimizing data processing, ensuring data quality, and collaborating with cross-functional teams to implement scalable solutions for analytics and business intelligence.

The Product Analyst will analyze large-scale data to improve business performance, focusing on user engagement and conversion rates. Responsibilities include testing strategy implementation, defining KPIs, and creating visual dashboards. The analyst will collaborate with marketing and product teams to ensure data integrity and capture requirements.