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.

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.

Supports data governance for acquired-company integration initiatives by maintaining inventories, metadata, ownership records, retention documentation, quality trackers, lineage, issue logs, and readiness materials. Reviews structured and unstructured content, coordinates data stewards and cross-functional stakeholders, documents privacy and compliance requirements, tracks approvals and legal holds, and assists with migration, archival, decommissioning, and analytics enablement activities.

Designs and implements governed enterprise data pipelines and Snowflake archival solutions supporting acquisitions, integrations, compliance, reporting, and analytics. Partners with architecture, security, application, infrastructure, business, and vendor teams to translate requirements into scalable pipelines, mappings, quality controls, monitoring, documentation, and deployment plans. Leads migration, cutover, validation, hypercare, and operational handoff activities while improving reusable engineering patterns, automation, performance, cost efficiency, and data observability.

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.

Two-year early talent program developing data engineering professionals. Responsibilities include building and maintaining scalable data pipelines, integrating and transforming data, developing data models, implementing quality checks, and supporting data governance. The role uses SQL, Python, cloud platforms, and modern data engineering tools while collaborating with engineers, analysts, and business partners on production data solutions.

Build and operate reliable data pipelines transforming flight test, simulation, and operational data into versioned, traceable ML training datasets. Responsibilities include ingestion, normalization, time alignment, validation, dataset lineage, anomaly mining, labeling workflows, deployment feedback loops, monitoring, and data coverage analysis. Collaborate with flight test and operations teams on instrumentation and data access. The role is on-site in Boston and requires production data engineering experience supporting machine learning pipelines.

Supports data governance and transformation activities for acquired-company integrations. Maintains data inventories, ownership records, metadata, catalogs, retention documentation, legal hold records, quality trackers, lineage, reconciliation evidence, issue logs, and readiness materials across structured and unstructured data. Coordinates with data stewards, business and technology stakeholders, Legal, Privacy, Risk, Compliance, Security, vendors, and implementation partners while documenting governance decisions, approvals, controls, and transformation progress.

Owns reporting and dashboard development for CPQ status, customer onboarding, purchase order gaps, workload, billing, and account operations. Analyzes delays, rework, process bottlenecks, and data quality issues, then recommends process improvements. Supports forecasting and capacity planning, documents scalable reporting processes, and partners with Sales, Billing, and Technical Services leadership to improve workflows and communicate actionable insights.

Manages marketing technology, CRM data analytics, AI-enabled data enrichment, and data quality initiatives. Develops governance guardrails, standards, controls, and processes to maintain accurate data. Analyzes marketing and business development information to identify revenue and operational efficiency opportunities, creates recurring reports, collaborates with vendors and internal stakeholders, and implements tools that support strategic decision-making and demand generation.