Jobs at Optum

Leads enterprise business intelligence and reporting for Optum Health Performance Management. Designs dashboards, scorecards, data models, reporting pipelines, visualization frameworks, and automated reporting processes. Ensures data quality, governance, documentation, lineage, and timely delivery of executive, provider, market, operational, and performance reports. Translates business requirements into scalable reporting solutions and collaborates with analytics, technology, and data engineering teams on reporting modernization.

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.

Provides strategic and operational leadership for a Provider Growth analytics portfolio. Defines analytics strategy, leads multidisciplinary teams, owns analytics products, and drives AI and machine learning adoption. Develops solutions for provider targeting, segmentation, market prioritization, campaign optimization, and growth opportunities. Partners with executives and technical teams, manages roadmaps, budgets, governance, delivery quality, talent development, and enterprise-scale data and AI capabilities.

Monitor global employee and executive travel, security events, alerts, and advisories to identify risks affecting travelers. Initiate notifications, escalate incidents, support executive travel and response coordination, verify traveler locations, document activities, and conduct shift handovers. The role operates onsite in a 24/7 follow-the-sun security operations center, including weekend coverage.

Conduct real-time global security monitoring using OSINT, traditional media, and social media. Triage alerts, assess emerging threats, prepare incident notifications and situational updates, maintain incident logs, and support security stakeholders during routine and crisis situations. The role operates in a fast-paced, in-person CSOC environment with rotational weekend and holiday coverage supporting 24/7/365 monitoring.

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 complex, strategic projects from initiation through implementation for Payment Integrity’s transformation agenda. Defines scope, milestones, governance, metrics, and execution plans; coordinates cross-functional dependencies; manages risks and roadblocks; aligns stakeholders; supports executive decision-making through clear reporting; and improves project delivery processes. The role partners across operations, technology, product, finance, compliance, and strategy, while leveraging AI and digital automation to improve execution and business outcomes.

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.

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.

Leads data scientists, analysts, and engineers integrating pricing models into an enterprise pharmacy pricing platform. Provides technical leadership across solution design, platform integration, production delivery, analytics architecture, and software engineering. Manages resources, coaches team members, partners with product, engineering, and business leaders, drives continuous improvement, and communicates analytical results and predictive models. The role requires Python and SQL expertise, people management, enterprise production delivery, financial modeling, and Agile experience.

Manages the Coordination of Benefits and Ideation & Growth portfolios, leading opportunity prioritization, forecasting, executive reporting, KPI tracking, value realization, and productivity planning. Drives modernization through AI, machine learning, automation, improved data integration, and scalable operating models. Partners with Operations, Finance, Product, Technology, Analytics, Data Science, and leadership teams to develop business cases, deploy innovation, monitor savings and revenue, and improve operational efficiency and growth outcomes.

Designs and operationalizes data products supporting analytics, machine learning, generative AI, and agentic AI use cases. The role models and transforms healthcare data, analyzes trends, ensures data quality, supports risk adjustment and customer targeting, and collaborates with data scientists and AI engineers to evaluate models and improve business adoption.

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.

Lead pharmacy contract strategy and negotiations with payers and pharmacies. Interpret and analyze complex contracts, assess financial and operational impacts, monitor provider performance, provide market intelligence, engage senior stakeholders, and mentor junior team members to drive financial results through negotiation.

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.