Top Hybrid Data & Analytics Jobs in Boston, MA

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

Lead design and maintenance of data warehouse architecture, schemas, and ETL to support reporting and BI. Provide Oracle DBA support (configuration, backup, tuning), integrate enterprise systems (Workday, Cayuse, Lawson), enforce data governance and security best practices, and collaborate across IT to document and optimize data solutions.

Leads workforce planning analytics, forecasting, executive reporting, conversational self-service analytics, applied research, and AI transformation measurement. Builds automated reporting and analytical products using Python or R, SQL, and AI tools; develops governed semantic models and data products; monitors organizational design and data quality; and advises senior leaders on workforce and investment decisions.

Manages information governance, risk, and compliance initiatives focused on attorney and client onboarding, offboarding, client transfers, legal holds, and electronically stored information. Coordinates data identification, collection, classification, transfer, metadata accuracy, repository tracking, security controls, and workspace access. Supports attorneys and business teams, resolves policy inquiries, develops compliance procedures and educational materials, and contributes to technology workflows, integrations, analytics, and internal controls.

Lead development of customer-facing analytics and internal dashboards by building advanced SQL models, optimizing visualizations, and maintaining data models. Drive analytics priorities, improve team processes, present findings to leadership, and participate in agile planning and peer review to support product, operations, and commercial teams.

The Sr. Director of Biostatistics will lead statistical support for clinical studies, oversee biostatistics teams, and ensure statistical integrity in analyses and reports.

Build and operate scalable data infrastructure, including fault-tolerant pipelines, data discovery services, and data lineage systems. Develop backend services that process petabytes of data for machine learning and autonomy teams. Lead system design, code reviews, and technical contributions while using AWS cloud ETL technologies and distributed systems. Collaborate with stakeholders to improve platform adoption and address data customer needs.

Manages the enterprise ETL practice and data integration architecture. Designs and supports Informatica integrations, data synchronizations, APIs, Oracle SQL procedures, Salesforce workflows, Marketing Cloud data extensions, and Data Cloud components. Collaborates with technical teams and business partners, monitors and optimizes integration operations, troubleshoots issues, improves quality assurance, provides technical guidance and staff training, and contributes to integration policies and plans.

Designs, builds, tests, and supports enterprise data pipelines and Snowflake archival solutions for acquisitions, integrations, reporting, compliance, and analytics. Translates business and technical requirements into mappings, transformations, quality rules, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams. Oversees validation, monitoring, documentation, cutover, go-live readiness, hypercare, and operational handoff while improving reusable, secure, cost-efficient data engineering practices.

Build and own PFA’s data platform, including healthcare data integrations, ingestion pipelines, data models, quality processes, reporting layers, and analytical infrastructure. Develop production-grade Python and SQL systems, predictive models, AI-enabled workflows, and executive dashboards. Establish engineering standards, testing, governance, and scalable architecture while translating business needs into technical solutions and communicating insights to nontechnical leaders.