Top Hybrid Senior Level Data & Analytics Jobs in Boston, MA

Design the architecture for a healthcare data ecosystem, ensuring integration of structured and unstructured data for AI use, while maintaining data quality and governance.

Lead data architecture strategies, drive innovation in data solutions, and oversee compliance with governance and security policies while collaborating with stakeholders to align technical solutions with business needs.

The Senior Data Engineer will build and scale data infrastructure, create data models, develop ingestion pipelines, and ensure data quality for drug development at Formation Bio.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

The Senior Analytics Engineer will own data pipelines and models for Sales and Product analytics, ensuring data quality and governance. They will collaborate with cross-functional teams to facilitate data-driven decisions and enhance productivity through scalable data solutions.

The Principal Front-Office Engineer will lead the design and implementation of AI-driven solutions in investment strategies, collaborating with analysts to enhance toolsets and reporting systems.

Lead and grow an analytics engineering team to deliver scalable data models and reporting for Product, Marketing, Finance, and other stakeholders. Drive BI platform vision, collaborate with Product and Data Governance, prioritize work, implement agile practices, and ensure high data quality and performant transformations.

The Manager of Business Analytics will develop brand measurement strategies and lead media effectiveness analysis to optimize marketing investment and drive member growth.

The Sr. Analytics Engineer at Philo is responsible for designing data models, governing business metrics, collaborating with stakeholders, and ensuring data quality and documentation for analytics purposes.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.

Lead the design and implementation of enterprise-scale Knowledge Graphs and Semantic AI solutions, integrating graph intelligence and Generative AI. Manage cross-functional teams in data architecture and governance.