Top Data & Analytics Jobs

Leads enterprise strategy, architecture, delivery, governance, and operations across data, analytics, information management, automation, AI, and GenAI. Drives transformation toward governed data foundations, reusable data products, data marketplaces, self-service analytics, and responsible AI. Oversees platforms, pipelines, dashboards, automation initiatives, budgets, vendors, and senior technical teams while partnering with business, Legal, Compliance, Quality, and Security. Builds training, adoption, stewardship, and change-management programs across a global life sciences organization.

Leads Commercial data architecture and technology ownership across Commercial, Medical Affairs, and Patient Services. Defines data strategies, warehouses, data products, master data management, governance, quality standards, and analytics enablement. Partners with business stakeholders, Data & AI teams, vendors, and implementation partners to design scalable solutions using platforms such as Snowflake, Tableau, and Power BI. Provides architecture oversight, supports AI initiatives, manages technical delivery, and ensures data compliance, reliability, and operational sustainability.

Build and operate Pivotal’s flight data warehouse and telemetry pipelines using AWS Glue, Athena, SQL, and Python. Design curated data marts, fleet health alerting services, data quality gates, dashboards, and query interfaces. Own data infrastructure, deployment, monitoring, and schema evolution end to end while collaborating with firmware, GNC, battery, flight operations, systems engineering, and MRO teams on telemetry and airworthiness decisions.

Collects and integrates data from diverse platforms, develops dashboards and KPI frameworks, ensures data quality and governance, and translates analytics into actionable recommendations. Supports strategic planning, marketing, fundraising, audience development, educational impact assessment, executive reporting, and organizational decision-making. Coordinates with departments and vendors, automates reporting, responds to data requests, and trains staff on reporting tools and data practices.

Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, Snowflake, and Azure technologies. Build data ingestion frameworks, dimensional data models, and enterprise warehouse solutions. Optimize Snowflake workloads, implement data quality and governance controls, monitor production pipelines, troubleshoot incidents, document data processes, and collaborate with architects, analysts, data scientists, and business stakeholders. Support secure, compliant, reliable data platforms for analytics, reporting, and operational use cases.

Owns end-to-end data platform architecture, including warehouse design, medallion layers, ingestion, transformations, orchestration, semantic modeling, security, governance, and platform health. Establishes enterprise data standards, manages performance, cost, reliability, environments, and access controls, while serving as the technical authority for engineering teams. Partners with governance, BI, analytics, and program management teams; reviews architecture, maintains documentation, and leads the infrastructure roadmap.

Design and maintain scalable ETL/ELT pipelines, data integrations, APIs, databases, warehouses, and workflow orchestration. Improve data quality, security, governance, reporting accessibility, and infrastructure reliability across a multi-location organization. Collaborate with analysts, technology teams, and business leaders, troubleshoot complex data issues, support CI/CD deployments, and provide technical leadership and mentorship while shaping long-term data strategy.

Designs, develops, and owns business intelligence dashboards, visualizations, analyses, and reporting solutions, primarily in TIBCO Spotfire and also Power BI. Responsibilities include data modeling, calculations, performance tuning, deployment workflows through GitHub, data quality collaboration, BI standards, risk identification, mentoring, and independent decision-making across a multi-tenant Life Sciences data platform.

Analyze and validate data from multiple sources, build automated dashboards and ad hoc reports, perform statistical testing, and provide insights that support business decisions. The role collaborates with data engineering and business teams, maintains data systems, improves data quality, identifies new data sources, and helps define the data initiative roadmap.

Leads technical data pods and external developers supporting Commercial business domains. Oversees delivery of enterprise data engineering, BI, reporting, analytics, AI, and machine learning solutions. Translates business requirements into scalable architectures, pipelines, semantic models, dashboards, and data products using Databricks, Delta Lake, Azure, and Power BI. Establishes technical standards and governance, manages roadmaps and vendors, reviews designs and code, partners on security and data integrity, mentors team members, and advises leadership on data strategy and technology investments.