Jobs at Optum

Analyze and manipulate claims data to support payment integrity and medical cost savings initiatives. Collaborate with claims analysts, ideators, and cross-functional data teams to identify savings opportunities, research data, troubleshoot anomalies, and ensure analytical accuracy. The role requires claims analysis experience, SQL and advanced Excel skills, and strong analytical capabilities. Python, data engineering, Snowsight, and claims platforms are preferred.

Manage product strategy, roadmaps, backlogs, and Agile delivery for clinical decision support applications and platform capabilities. Partner with engineering, architecture, clinical, regulatory, and business stakeholders to define requirements, prioritize features, manage Jira boards, coordinate dependencies, and support technical decisions. Ensure products meet healthcare, quality, regulatory, interoperability, clinical safety, and customer outcome expectations across regulated software environments.

Leads network margin analytics, financial planning, forecasting, reporting, and business performance analysis for pharmacy benefit services. Manages and develops an analyst, supports budgeting and client renewals, evaluates discount guarantees and legislation risks, and provides actionable recommendations to cross-functional partners and executive leadership. Owns the margin forecast process, financial reporting tools, process improvements, and executive presentations.

Leads a cross-functional Payment Integrity capability portfolio from opportunity identification through implementation, scaling, or closure. Defines business cases, KPIs, financial benefits, measurement plans, and executive scorecards. Partners with Operations, Finance, Analytics, Procurement, Technology, Product, and vendors to improve productivity, quality, turnaround time, automation, decision-making, and operational value. Influences senior stakeholders without direct authority and drives governance, replication, adoption, and sustained benefits.

Lead complex, cross-functional Payment Integrity transformation projects from initiation through implementation. Define scope, milestones, governance, metrics, and execution strategies; manage dependencies, risks, stakeholders, and competing priorities; remove roadblocks; and drive accountability. Prepare executive communications and reporting, facilitate decisions, resolve conflicts, and improve project delivery practices. Use AI and digital automation to streamline execution and enhance business outcomes.

Serve as Scrum Master for Data and Analytics teams by facilitating Agile ceremonies, coaching teams and stakeholders, managing risks and dependencies, improving delivery predictability, and driving continuous improvement. The role partners with Product Owners and business and technology leaders to align priorities, coordinate multi-team delivery, support governance processes, and promote Agile maturity across complex data, analytics, and technology initiatives.

Provides AI-enabled consulting across healthcare initiatives, supporting project and product management, process improvement, business analysis, requirements gathering, risk management, data analysis, quality assurance, and client delivery. The role collaborates with cross-functional technology and business teams, manages project milestones and deliverables, applies Agile methodologies, conducts research, supports testing, and drives measurable client outcomes.

Provides AI-enabled consulting to healthcare clients, advising on process improvement, digital products, project delivery, and operational performance. Leads complex workstreams, PMO frameworks, risk and issue management, stakeholder communications, data analysis, and client engagements. Applies Agile methodologies and AI tools to improve productivity and outcomes, while mentoring teams and ensuring delivery meets client value and financial objectives.

Leads the analytics strategy, roadmap, growth agenda, and portfolio expansion for Retrospective Coordination of Benefits and Reverification. Partners with Product, Operations, Technology, Growth, and Analytics teams to identify use cases, build business cases, measure financial and operational value, and drive adoption of predictive analytics, GenAI, and Agentic AI solutions. Advises senior leadership and resolves complex business challenges through enterprise-scale analytics initiatives.

Develop and maintain scalable data pipelines integrating databases, APIs, logs, streaming platforms, and external providers. Build transformation and processing jobs, implement governance and de-identification controls, monitor pipeline reliability, and establish automation and deployment best practices. Partner with analytics, product, infrastructure, and data science teams to advance cloud-based data and analytic platforms using Azure, Databricks, Snowflake, Spark, and SQL.

Leads statutory and legal entity financial reporting across multinational organizations, ensuring compliance with US GAAP, IFRS, and FRS 102. Prepares financial statements, disclosures, reconciliations, technical accounting papers, consolidation entries, and audit support. Partners with controllership and other stakeholders to resolve reporting and control issues, manage transfer pricing and intercompany accounting, adopt new standards, and improve processes through automation, data governance, and AI-enabled technologies.

Leads the design and delivery of scalable data platforms and products for healthcare applications. Establishes standards for data modeling, quality, lineage, observability, testing, security, and operational readiness. Partners with product, AI, architecture, governance, and engineering teams to create technical roadmaps, reusable patterns, and multitenant architectures. Enables generative AI and conversational analytics solutions while mentoring engineers and evaluating architectural trade-offs.

Design, build, and maintain scalable ETL/ELT pipelines and data integrations to consolidate, transform, and prepare large datasets for analytics and ML. Enforce best practices, data governance, monitoring, and support while collaborating with business and analytics teams to improve data quality and enable insight-driven decisions.

Manages AV operations across two Ireland offices, ensuring meeting rooms, collaboration spaces, events, and executive communications remain reliable. Oversees Microsoft Teams Rooms, conferencing systems, maintenance, upgrades, vendor relationships, incident escalation, documentation, and service improvements. Partners with stakeholders to gather requirements, deliver AV projects, maintain standards, support budgeting and lifecycle planning, and provide high-quality user experiences.

Leads end-to-end software engineering for scalable analytics applications, platforms, data workflows, and AI-powered solutions. Responsibilities include system design, development, testing, deployment, production support, Python/PySpark/SQL pipeline development, cloud application development, DevOps automation, technical leadership, prototyping, code reviews, and cross-functional collaboration.

Design, build, test, and maintain scalable data engineering solutions, including automated releases, ETL processes, data models, real-time pipelines, monitoring, legacy migrations, and security strategies. Transform raw data using business logic, support machine learning and business intelligence workloads, and produce technical documentation. The role requires extensive experience with cloud platforms, SQL, databases, data warehousing, Spark, Databricks, Airflow, Kubernetes, Docker, Python, and related data technologies.

Build and maintain scalable ETL pipelines, integrate data from databases, APIs, streaming platforms, and external providers, and transform large datasets for analytics and machine learning. Establish reusable engineering frameworks, data governance, monitoring, alerting, and reliability practices. Collaborate with analytics and business teams on cloud data migration, predictive model enablement, and healthcare cost reduction. Required skills include SQL, Python, Scala or Java, cloud platforms, Snowflake or Databricks, DevOps, Git, and CI/CD.

Leads end-to-end software engineering for analytics platforms and applications, including architecture, development, testing, deployment, support, and technical direction. Builds scalable AI-powered solutions and large-scale data pipelines with Python, PySpark, and SQL. Evaluates emerging AI tools, maintains GitHub Actions CI/CD, supports cloud development, conducts reviews, creates prototypes, documents systems, and partners with product, architecture, data science, and engineering teams.

Design, deploy, and operate production AI agents and generative AI solutions using Azure OpenAI, Snowflake, Databricks, retrieval, semantic models, and tool orchestration. Build reliable data workflows, governance, security, monitoring, evaluation, and responsible AI controls for sensitive healthcare data. Integrate AI systems with enterprise applications and APIs, troubleshoot performance and retrieval issues, and collaborate with technical and business stakeholders to deliver compliant, scalable solutions.

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.