Jobs at Health Care Service Corporation

The Lead Data Science Engineer is responsible for engineering AI capabilities, managing data pipelines, and delivering ML engineering solutions, while ensuring data quality and optimizing existing systems.

Support development, implementation, testing, and maintenance of disaster recovery plans for systems and infrastructure. Identify risks and single points of failure, coordinate recovery exercises and failover testing, document test results and remediation, execute recovery procedures during disruptions, collaborate with infrastructure, application, and network teams, evaluate vendor DR capabilities, and maintain RTO/RPO and dependency documentation.

Manage implementation, maintenance, review, and analysis of actuarial models and systems for pricing, underwriting, reserving, forecasting, and other actuarial functions. Develop complex models, train others, produce presentations to support decisions, and lead complex cross-functional projects involving non-actuarial teams and external partners. Provide deep expertise across multiple actuarial areas and at least one business segment.

Produce actionable insights on provider discounts and external benchmarks to inform sales, account management, network, and actuarial decisions. Build dashboards, query diverse data sources, translate complex analytics into presentations, and support enterprise strategy and competitive positioning.

Implement and deliver digital communications strategy for customer-facing portals; manage day-to-day operations of the digital communications team; coordinate and edit content; run analytics and reporting; lead segmentation/testing and stakeholder engagement; manage multiple projects to meet business goals.

Design and develop end-to-end data integration and analytics engineering pipelines across RDBMS, MPP, Hadoop, and Azure Databricks. Lead projects, provide technical guidance, build Enterprise BI data marts and semantic layers, and collaborate with stakeholders to deliver data products and insights.

Lead multiple data engineering teams to ensure data quality, build and optimize data pipelines, ingest and curate diverse data sources, transform data for ML/analytics, productionize data science products, collaborate with IT for deployments, manage budgets/resources, and build business cases with ROI analyses.

Lead delivery of one or more complex, enterprise-wide programs end-to-end: define strategy and business case, manage budget, schedule, scope, resources, risks, and quality; remove barriers, escalate issues, build consensus, and drive decisions. Provide HR and business acumen to design and implement strategic programs, track milestones, recommend adjustments, and influence stakeholders across a matrixed organization. Ensure alignment with software delivery lifecycles and methodologies.

Responsible for 24x7 operations support of non-production and production environments, handling incident resolution, vendor performance management, and using analytics for service improvement.

The role involves investment accounting and reporting analysis, prepares financial reports, mentors junior members, and participates in research on accounting issues.

Lead the Medicaid Strategy team to manage state Medicaid RFPs, identify cost-saving and value initiatives, support divisional planning and goal setting, and prepare leadership for regulatory changes. Oversee content library, translate data insights into actionable plans, and present to executives while mentoring strategic staff.

Lead teams that develop and write enterprise proposals, manage proposal content and network information requests, and support national accounts meetings, events, and open enrollment efforts. Partner with Sales and Account Management, oversee budgets, drive process improvements, and translate initiatives into business cases while ensuring timely, high-quality deliverables.

The Senior Director of Data Science manages a team to analyze data and solve business problems using advanced mathematical and statistical models while providing strategic direction to the business.

The Sr Managing Actuary manages actuarial models, conducts complex analyses, leads projects involving various teams, and communicates findings effectively.

The Sr. Manager Payment Integrity Operations oversees daily operations, manages enterprise information related to refunds and recoveries, and ensures strategic data analysis and reporting.

This role involves managing actuarial models, systems, and projects, developing complex models, and providing presentations for decision-making within a hybrid work environment.

Define enterprise Payment Integrity strategy across lines of business, identify and prioritize opportunities, and develop roadmaps. Lead cross-functional teams in data product development, oversee budgets and resource allocation, build business cases and cost-benefit analyses, manage strategic partnerships, and ensure database architecture, infrastructure, and integration align with initiatives. Drive change management, stakeholder communication, and executive-level decisions.

The role involves designing and optimizing data pipelines using Cribl, managing deployments, ensuring efficient log routing, and providing operational support.

The role involves serving as an internal consultant by managing marketing strategies, product development, and customer loyalty initiatives, while overseeing projects and providing actionable insights.

Partner with Account Executive to retain and grow enterprise national accounts by developing service strategies, managing relationships, identifying cross-sell opportunities, supporting implementations, maintaining account reporting (Salesforce), and ensuring client satisfaction. Requires travel and maintaining a state general agent insurance license.