Top Healthtech Data & Analytics Jobs

Designs and deploys enterprise-scale data engineering and AI solutions across healthcare domains. Leads data acquisition, ETL/ELT, integration, architecture, data quality, and warehouse development using Azure, Databricks, Spark, Scala, and Python. Operationalizes machine learning and Generative AI pipelines, including RAG workflows, vector ingestion, embeddings, and feature engineering. Partners with analytics and AI teams on reusable datasets, governance, architectural standards, DevOps, CI/CD, monitoring, and continuous process improvement.

Designs, develops, and maintains enterprise data pipelines, ETL processes, integrations, and data warehouse solutions using Azure Data Factory, dbt, Snowflake, Python, and SQL. The role supports batch ingestion, APIs, data quality, monitoring, documentation, and secure data transfers. It also provides technical guidance, mentoring, code reviews, troubleshooting, and stakeholder collaboration to deliver scalable, reliable analytics data products.

Leads the Analytics and Reporting Services team supporting a Medicaid Enterprise Data Warehouse. Oversees reporting portfolio delivery, dashboards, data validation, governance, compliance, resource planning, and operational performance. Manages analysts and business intelligence professionals, translates stakeholder needs into analytics solutions, improves data quality and reporting automation, and advises government and executive stakeholders on reporting modernization and data-driven decision-making.

Leads enterprise data governance strategy, data quality standards, stewardship models, policies, metadata, lineage, classification, access controls, and lifecycle management. Partners with business and technical teams to resolve data quality issues, implement governance platforms, monitor KPIs, communicate risks, and maintain compliance with regulations such as HIPAA and GDPR.

Own and optimize the enterprise workforce management platform, including forecasting, scheduling, staffing, intraday performance, shift and PTO bidding, and schedule adherence. Analyze workforce and operational data, identify root causes, create trend and productivity reports, model ROI, and recommend staffing improvements. Partner with analytics and operations leaders, mentor real-time analysts and schedulers, and drive efficiency across service and clinical operations.

The Quantitative Methodologist Expert will design and deliver complex quantitative research solutions, applying advanced methodologies to address business questions and drive data-driven outcomes.

Lead the integration of advanced imaging analytics and AI in drug development, focusing on medical image analysis and clinical trials.

Lead and architect high-value healthcare analytics engagements, build reusable analytic frameworks (DBT), partner with product and engineering, mentor analysts, ensure analytic quality, and represent Arcadia externally to drive population health and value-based care outcomes.

Lead a small analytics team to design experiments, run causal analyses, and build measurement frameworks. Partner with Product, Engineering, and leadership to translate complex analyses into actionable recommendations, manage A/B testing and causal methods, mentor analysts, enforce analytical standards, and own measurement strategy across growth and product.

The Manager of Regulatory Submissions will lead regulatory strategies and submissions for global authorities, ensuring regulatory alignment with business goals while collaborating with cross-functional teams on medical devices.

Contract marketing data analyst to clean and rebuild marketing data models, integrate ad/analytics and conversation data into Snowflake, ship dashboards, implement quality monitoring, align GTM models, and produce a data dictionary for team and LLM consumption.

The GTM Engineer will innovate and enhance GTM processes at EliseAI by leveraging AI and automating workflows while collaborating across various teams.