Top Tech Jobs & Startup Jobs in Dublin

Develop data insights and analytical solutions supporting Payment Integrity transformation and operational performance. Analyze medium and large datasets, build reporting and self-service dashboards, monitor trends, perform data quality checks, and ensure outputs are accurate and auditable. Partner with data leaders, stewards, subject matter experts, and business stakeholders to document requirements, translate needs into solutions, and communicate findings that guide transformation priorities.

Lead product strategy and roadmap for an enterprise AI modernization of medical record review. Align business, clinical, and technical stakeholders to integrate LLMs, intelligent document understanding, and autonomous coding across Optum/UnitedHealthcare systems, define success metrics, ensure compliance and responsible AI, and drive adoption and operational outcomes.

Lead design and implementation of advanced analytics, reporting, and data tooling for chart review, targeting analytics, and risk adjustment. Build and validate data pipelines, automate integrations, ensure data quality, modernize legacy analytics, and deliver actionable insights to stakeholders across the organization.

Develop and maintain complex data pipelines and data sources using Snowflake, Airflow, Azure, SQL, and Python. Integrate on-premises and cloud data, build transformation routines, data models, stored procedures, masking solutions, monitoring tools, and automated data quality controls. Create CI/CD pipelines with GitHub Actions and collaborate with architects, analysts, and data stewards to deliver reliable analytics foundations. The role also supports scalable payment integrity data solutions and requires knowledge of data warehousing, integration, and security practices.

Lead the strategy, validation, development, commercialization, and growth of a B2B SaaS reseller solutions product. Responsibilities include defining vision and roadmap, conducting customer discovery, managing the product lifecycle, developing pricing and margin optimization capabilities, creating business cases, coordinating cross-functional delivery, supporting go-to-market execution, and presenting recommendations to senior leadership.

The role involves applying advanced analytics in healthcare, developing coding solutions, collaborating with teams, and mentoring. Focus is on data science and improving healthcare outcomes.

Explore and validate complex enterprise datasets, conduct exploratory analyses and experiments, build reusable Databricks SQL and Python notebooks, identify data quality issues, and translate ambiguous business questions into evidence-based product recommendations. The role partners with stakeholders, documents analytical findings, creates semantic-layer assets, and supports transition of validated concepts to downstream engineering teams.

Lead Business Process Improvement and Transformation for Payment Integrity. Develop strategy, business cases and execution roadmaps; partner with Operations, Analytics, R&D and Technology. Track operational performance using automated statistical control models, dashboards and scorecards; ensure benefits are captured in P&L. Lead strategic projects in a matrix environment, influence stakeholders, implement corrective actions, and report progress to senior leadership to drive cost efficiency and medical cost savings.

Lead hands-on design and delivery of scalable cloud-based data platforms and Lakehouse solutions, build high-volume batch and streaming pipelines, define standards for data modeling, quality, lineage, security, and observability, create reusable patterns, mentor engineers, and partner with product, AI, security, and governance stakeholders to enable analytics and AI use cases.

Build and productionize generative AI and classical ML solutions for healthcare: data preparation, feature engineering, model/prompt development, evaluation, deployment, MLOps, monitoring, retrieval/indexing, and responsible AI practices while collaborating with cross-functional stakeholders.