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

Lead the development of scalable data platforms and analytics systems, overseeing teams in building data pipelines, advanced algorithms, and dashboards for data-driven decision making.

The Director of Privacy Operations oversees enterprise privacy strategies, leads cross-functional teams, manages privacy technologies, and ensures compliance with regulations.

Lead prospect research, pipeline development, and due diligence to identify and prioritize major gift prospects. Conduct in-depth donor research, prepare concise briefing products, analyze wealth and philanthropic data, integrate AI tools responsibly, and collaborate with fundraisers to inform portfolio strategy and gift acceptance decisions.

The Senior Director, Business Analytics leads enterprise analytics for Scholar Rock's commercial launch, defining strategies that support decision-making and growth initiatives.

The Director of Analytics leads data-driven insights across the organization, enhances analytics capabilities, and supports various business functions. This role focuses on building scalable analytics processes, delivering actionable insights, and improving data infrastructure and governance.

Lead analytical method validation and drive process excellence initiatives. Collaborate with CDMOs, support quality systems, and manage documentation for regulatory compliance.

Partner with Product and Customer Success to build and maintain Snowflake-backed dbt models, dashboards, and KPIs. Ensure data quality and governed semantic layers, enable self-service analytics, support recurring reporting and executive reviews, and align analytics with Applied AI and automation workflows.

The Manager of MDM leads projects for Master Data Management systems, working with teams to ensure successful client engagements in the pharmaceutical and life sciences sector.

The Director, Forecast & Research will lead forecasting, market research, and insights generation for Xenon's epilepsy portfolio, collaborating with cross-functional leaders to deliver actionable analytics.

Lead development of large-scale data analysis and validation workflows for autonomous driving ML. Design metrics, build datasets, run statistical error and regression analyses, collaborate with ML and software teams, and maintain AWS/Kubernetes orchestration for large-scale evaluation.