Milliman

Sales Development Rep

• Develop account profiles and business opportunities through outbound activity
• Build client relationships through research, regular calls and emails, setting sales appointments / meetings, and attending conferences
• Qualify leads, map out all possible contacts in a market or company
• Conduct outbound opportunity development as part of marketing campaigns
• Add and maintain information in Salesforce
• Achieve (and exceed) monthly quotas of qualified opportunities
• Become an expert on the entire Milliman IntelliScript suite of product solutions, as well as industry trends, and competitive dynamics
• Engage with other Milliman IntelliScript business units such as marketing, IT, operations and legal

Sales Development Representative – IntelliScript

Data Engineer

• Build Pipelines: Design and maintain scalable data pipelines to ingest and enrich healthcare data using Databricks and Spark.
• Optimize Data Workflows: Improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, and cost efficiency.
• Design Data Models: Partner with senior engineers to develop data marts and semantic models that power analytics products and reporting.
• Ensure Quality: Monitor pipeline health, troubleshoot failures, and implement data validation and quality controls.
• Learn & Grow: Expand your knowledge of the full data lifecycle, cloud infrastructure (Azure/AWS), and healthcare data standards.

Data Engineer – Entry Level

Data Analyst

• Problem-solve using spreadsheets, databases, and other resources to clean, synthesize, and/or analyze data and information
• Build and maintain actuarial models and exhibits used to support client projects and the presentation of results
• Communicate results to peers and project leaders both verbally and in writing
• Draft client communications, including emails, letters/reports, and PowerPoint presentations
• Review the work of your peers
• Prepare and document project files
• Assist with research and business development projects
• Participate in office committee(s) with peers and leadership to support office management, culture, and activities
• Have opportunities to work independently and as part of a team

Healthcare Data Analyst

Security Engineer

• Secure Architecture & Design Reviews: Provide security guidance for cloud architectures and changes (network segmentation, private connectivity, encryption patterns, key management), and review designs for risk and alignment to standards.
• Identity & Access Management (IAM): Implement and maintain least-privilege access using AWS IAM/Organizations and Azure Entra ID/RBAC, including privileged access workflows, role design, service principals, and periodic access reviews.
• Security Monitoring & Detection Engineering: Enable and tune cloud-native security signals (e.g., CloudTrail/Config/GuardDuty, Azure Activity Logs/Defender for Cloud/Sentinel) and ensure centralized logging, alerting, and actionable runbooks.
• Vulnerability & Configuration Management: Drive patching and vulnerability remediation for cloud workloads and platform services; enforce secure configuration baselines and continuously assess drift using CSPM/configuration tools.
• Security Automation & DevSecOps: Build guardrails and automate security controls with Infrastructure as Code (e.g., Terraform) and scripting (Python/Bash/PowerShell), including policy-as-code, CI/CD checks, and standardized hardened templates.
• Compliance, Risk & Governance: Maintain cloud security standards, support audits (e.g., HITRUST), evidence collection, risk assessments, and exception management; translate control requirements into actionable technical controls.
• Stakeholder Partnership: Collaborate with cloud/platform teams and application owners to prioritize security work, provide guidance, and deliver secure-by-default patterns without blocking delivery.

Cloud Support Engineer – Security

Actuary

• Directly manage a team of actuaries and analysts, including responsibility for hiring, onboarding, performance management, and career development
• Set clear goals and expectations for direct reports, providing regular feedback, coaching, and performance evaluations
• Foster a high-performing, inclusive team culture built on collaboration, accountability, and continuous learning
• Support direct reports in their actuarial exam progress and professional development planning
• Manage team workload and capacity, prioritizing assignments and ensuring timely delivery of commitments
• Serve as a people advocate, escalating team needs and removing barriers to success
• Contribute to broader organizational talent initiatives, including recruiting, succession planning, and skills development
• Serve as an actuarial subject matter resource to the teams responsible for the development and methodology of health discipline products
• Provide analytical input, actuarial review, and technical guidance to support healthcare actuarial product framework updates and enhancements
• Act as an actuarial resource and advisor to the data quality analytics function, supporting efforts to assess and improve the integrity of actuarial and claims datasets
• Provide actuarial research support on healthcare cost trends, utilization patterns, population health, and related topics
• Respond to ad hoc analytical requests from leadership, clients, or cross-functional teams with timely and accurate actuarial analysis

Senior Actuarial Manager – Health Research Team

Operations

• Document processes and create SOP’s for Operations Support and CPG teams.
• Review documentation provided for transitioning processes to CPG for adherence to best practices.
• Review existing documentation to ensure best practices are being maintained.
• Update documentation as necessary, distributing the updated material to the appropriate groups.
• Work with CPG Help Desk to ensure consistency of process and adherence to best practices.
• Work with the SME to facilitate any necessary training for new/updated documentation.
• Document and maintain library of global processes.
• Communicate with management regularly on high profile issues and their resolution.
• Monitor progress for all assigned projects and update the appropriate project management tool(s) on a proactive and timely basis.
• Provide Help Desk support during high volume times.
• Ensure final work products are of high quality, provided in a timely fashion and adhere to internal peer review guidelines.

DC Operations Support Documentation Specialist

Solutions Engineer

• Provide subject matter expertise to clients in support of sales executives and client relationship managers
• Design and deliver client proof of concept studies showcasing the value proposition of the tools.
• Develop and maintain connections to relevant industries (e.g., life insurance, Medicare Supplement) to continue to effectively understand issues facing clients
• Maintain actuarial professionalism by providing a fair and balanced view to clients aligning with ASOP.
• Maintain a strong network of industry contacts.
• Participate in relevant industries through activities such as presentations at industry meetings, volunteering, etc.
• Lead and contribute to industry or actuarial discussions to support the development of Solutions Consulting team members and others at IntelliScript.
• Mentor members of the Solutions Consulting team.

Senior Solutions Consultant – IntelliScript

Claims Specialist

• Design and conduct data-driven analyses using pharmacy claims data and complex modeling.
• Participate actively as a member of a multi-disciplinary analytics team, fostering the sharing of relevant information to help identify creative solutions to complex problems.
• Explain results of analyses to internal teams and provide valuable insights, both orally and in clear, concise client reports.
• Stay current on industry trends, regulations, and best practices in pharmacy benefit management.
• Contribute to the development of innovative methodologies and tools for pharmacy claims analytics.

Pharmacy Benefits Claims Analyst

Support Engineer

• Problem solve using spreadsheets, databases, statistical software, and other resources to synthesize and analyze data and information
• Process data for software testing and maintenance
• Validate software output
• Create materials to answer client questions on an ad-hoc basis
• Prepare and document project files
• Assist in R&D and marketing efforts to grow the business
• Check teammates’ work for technical accuracy
• Leverage AI-enabled tools (e.g., generative AI, automation platforms) to enhance research, analysis, and workflow efficiency
• Apply sound judgment when using AI outputs, including validating accuracy, identifying limitations, and ensuring appropriate use
• Continuously evaluate and refine personal workflows to incorporate emerging tools and best practices

Product Support Analyst

• Acts as a subject matter expert and thought leader within the Data Platform Domain
• Serves as a thought leader in data processing design and implementation, defining advanced structure for moving, storing, and maintaining high-quality data.
• Leads projects by managing timelines, coordinating teams, and communicating project statuses.
• Serves as a subject matter expert on governance standards, continuously aligning data practices with evolving industry best practices and requirements
• Contributes to defining the overall vision and strategy for data engineering within the organization, ensuring alignment with organizational goals and long-term objectives
• Establishes visionary goals, advises on strategic plans, employs advanced monitoring, influences high-level stakeholders, and delivers transformative results
• Expansion of our Data Warehouse(s) and Lakehouse solutions for a healthcare data focused enterprise
• Configuring and maintaining unity catalog to enable enterprise data lineage, data quality, auditability and data stewardship
• Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions
• Always ensure a policy of least privilege is followed for anything being implemented
• Building data solutions for clients while upholding the best standards for reliability, quality, and performance
• Building solutions within Delta Live Tables and automation of transformations
• Building out performant enterprise-level medallion architecture(s)
• Building fit-for-purpose near real-time streaming and batch solutions
• Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data
• Building out Infrastructure as Code using Terraform and Asset Bundles
• Working with the business to build cost effective and cost transparent Data solutions
• Help architect, build, and maintain robust and scalable data pipelines, monitoring, and optimizing performance
• Identify and implement improvements to enhance data processing efficiency
• Design and implement reliable and resilient Event Driven data processing
• Lead design, implementation, and maintenance of standards based (FHIR, OMOP, etc.) and efficient data models for both structured and unstructured data
• Assemble large, complex data sets that meet functional and non-functional business requirements
• Develop and maintain data models, ensuring they align with business objectives and data privacy regulations
• Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable data
• Effectively work with Data, Development, Analysts, Data Science, and Business team members to gather requirements, propose, and build solutions.
• Communicate complex technical concepts to non-technical stakeholders and provide guidance on best practices.
• Ensure that technology execution aligns with business strategy and provides efficient, secure solutions and systems
• Gather requirements and build out project plans to implement those requirements with forecasted efforts to implement
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics.
• Create data tools for clinical, analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Lead investigation of new tooling, development implementation plans, and deployment of necessary tooling

Lead Data Engineer, Data Platform – IntelliScript

• Work closely with project team members to execute key analyses for ongoing projects.
• Produce high-quality analytical work while showing professionalism and strong communication skills.
• Much of the Intern’s work will be done in Excel, but supplemental programming, statistical, and database skills are highly valued.

Summer 2026 Actuarial Intern, Atlantic Region P&C

• Understand, modify, and operate complex spreadsheets and database tools to analyze data and solve problems.
• Receive, reconcile, manipulate, and analyze data using programming languages such as R and SQL.
• Check data for consistency.
• Develop and use actuarial models.
• Present findings to peers, project managers, and client relationship managers.
• Draft written reports and exhibits, and prepare other internal/external correspondence.
• Check their own and peers’ work for accuracy.
• Undertake research projects.
• Perform or assist with other duties assigned at the direction of Actuaries and Principals.

Actuarial Analyst – New York Property and Casualty

SDET

• Develop and maintain reusable test automation frameworks for web, API, and cloud-native solutions by using Java, Selenium, and TestNG.
• Develop and automate test cases for Microsoft 365, SharePoint Online, Power Platform, and Azure-based applications, covering both frontend components (such as React, SPFx) and backend components (such as APIs, Azure Functions, Runbooks).
• Implement and execute automated regression, smoke, integration, and performance tests to ensure high-quality releases.
• Perform black box and other relevant testing methods to cover both positive and negative flows when automation is insufficient or infeasible.
• Actively participate in design discussions and requirements review to provide input from a testing perspective.
• Perform root cause analysis on defects, work closely with developers and support teams to prepare RCA reports in a timely manner.
• Leverage AI-based tools, technologies and frameworks throughout the automation test cases development and finding defects in advance.
• Collaborate closely with team members within an Agile framework, actively participating in sprint planning, assist in defining acceptance criteria, identifying any testing dependencies, and effectively sizing user stories to ensure clear requirements, and alignment with sprint goals.
• Utilize Azure DevOps and GitHub to plan, track, and document work, ensuring transparency and effective project coordination.
• Integrate automated testing with GitHub Actions to support both continuous and scheduled test cases execution.

QA Automation Engineer

• Ensure the integrity of HRT’s data assets and Milliman’s products by conducting in-depth data quality & pipeline validation reviews and by applying data governance and retention policies via the following:
• Lead comprehensive data quality reviews across HRT's data assets, ensuring accuracy, completeness, consistency, and timeliness of healthcare data pipelines and downstream products.
• Design, develop, and execute systematic data validation frameworks to identify anomalies, discrepancies, and integrity issues within enrollment, claims, risk score, and other healthcare data sources.
• Investigate and document root causes of data quality failures, partnering with data engineering and analytics teams to implement corrective actions and preventive controls.
• Establish and maintain data quality metrics, scorecards, and dashboards to monitor ongoing pipeline health and communicate findings to stakeholders at all levels.
• Collaborate with other HRT data analytics, engineering, and project management professionals to identify, propose, and implement process enhancements.
• Assist in completing a wide array of advanced analytics for approved Health Research Board (HRB) initiatives and Milliman practice client projects.
• Implement updates to Milliman tools and carry out monthly data processing associated with being a CMS Virtual Research Data Center (VRDC) seat holder.
• Provide support to Milliman’s practices via our help desk system by answering a variety of questions, most often about our data assets and data use policies.
• Collaborate with HRT finance, operations, and project management teammates through providing technical and healthcare data expertise.
• Communicate progress, status, issues, decisions on a regular cadence.

Senior Business Data Analyst, Health Research Team

Customer Success Manager

• This position serves as the primary point of contact and liaison for clients, supporting them throughout the client journey from implementation through production.
• Client Success Managers ensure client needs and expectations are aligned; contractual obligations are met, and day-to-day operations run smoothly.
• They maintain client satisfaction and help clients realize measurable value from our products and services.
• The Client Success team provides effective analytical support and proactive recommendations to support data-driven decisions.
• Client Success Managers must have a strong understanding of the healthcare industry, emerging trends, and healthcare data.
• They must be able to work with a variety of healthcare data sources, interpret results, and translate analytic outputs into clear, actionable insights that drive client value.
• Client Success Managers are responsible for day-to-day client operations, including ticket management, coordinating system updates, managing data refreshes, and communicating release notifications.
• They deliver timely client support by managing tickets and ensuring service levels agreements are met.
• Client Success Managers collaborate closely with clients through regular engagement, identifying opportunities to improve outcomes, championing data-driven decision-making, and optimizing data processes to maximize the value clients receive from their MedInsight investment.
• Client Success Managers work closely with our client engineering teams (located in both the US and India) to coordinate client support activities. This includes clearly communicating requirements, timelines, and priorities so engineering team members can complete tasks and provide status updates and outcomes.
• While some work maybe performed offshore, client communication is managed in the U.S., so strong communication skills with both clients and internal team members is essential.