Provide expert guidance and resources to aging adults and caregivers while managing intensive cases and crisis interventions. Collaborate with digital product teams to integrate clinical expertise into the design of user experiences for care-seekers.
Lead the end-to-end management of enterprise storage, backup, and recovery platforms across multi-site datacenter environments. Oversee data durability, financial stewardship, and the modernization of data protection strategies to ensure business continuity.
Responsible for processing and paying long-term care claims while adhering to policy provisions and compliance requirements. The role involves managing a work queue and interacting with policyholders, agents, and facilities to ensure a high-quality claims experience.
Lead and mentor multiple data engineering teams in the design, build, and deployment of high-quality data products using Databricks. Establish engineering standards, optimize Spark performance, and oversee the transition from legacy platforms to modern streaming architectures.
Design structural blueprints for data systems to ensure security, accessibility, and alignment with business goals. Establish enterprise insurance data models and define interoperability across technology platforms, pipelines, and AI/ML applications.
Design, build, and scale production-grade machine learning models and AI-driven solutions on the Databricks Lakehouse platform. This includes managing the end-to-end ML lifecycle from model development and feature engineering to MLOps and production monitoring.
Lead the ITIL-aligned ITSM service tower and establish the enterprise operating model to ensure reliable and audit-ready service delivery. Manage the ServiceNow platform strategy, CMDB maturity, and core practices including incident, problem, and change management.
Design and build end-to-end product experiences for a customer-facing platform across web and mobile. Own the full software delivery lifecycle, including technical design, implementation, testing, and operational reliability.
Develop and maintain high-performing services using various .NET versions while employing Test Driven Development to ensure code quality. Collaborate with cross-functional teams within an Agile framework to design scalable enterprise solutions and technical specifications.
Lead the design and delivery of end-to-end Pega solutions by translating business requirements into technical designs and executable workflows. Partner with stakeholders to ensure scalability, compliance, and alignment with enterprise architecture standards.
Provide expert guidance on BI tools to design and implement scalable, governed data solutions across the enterprise. Establish governance frameworks, promote development standards, and foster a self-service analytics culture through coaching and documentation.
Lead independent model validations for actuarial, finance, investment, and data science models to ensure they are fit for purpose. Assess enterprise exposure to model risk and collaborate with business leaders to improve model governance and risk management practices.
Facilitate connections between care seekers and long-term care providers through compassionate conversations and active network engagement. Handle inbound and outbound calls to match customer needs with appropriate care options and negotiate pricing with providers.
Lead the ITIL-aligned ITSM service tower and establish ServiceNow as the trusted system of record for service execution and performance. Define the enterprise ITSM operating model and oversee core practices including incident, problem, change, and asset management.
Design and maintain conceptual, logical, and physical data models to transform raw data into actionable business insights. Collaborate with technical teams and stakeholders to optimize database schemas and ensure data quality and governance.
Lead asset projections and scenario generation using Moody's AXIS and Economic Scenario Generators to support various product lines and corporate functions. Ensure all model updates comply with actuarial governance standards and align with broader Asset Liability Management strategies.
Lead and mentor multiple data engineering teams in the design, build, and maintenance of high-quality data products using Databricks. Establish engineering standards, optimize Spark performance, and oversee the migration from legacy analytical platforms to a modern streaming architecture.
Lead the design and delivery of end-to-end Pega solutions by translating business requirements into technical workflows and case lifecycles. Partner with stakeholders to ensure scalability, compliance, and alignment with enterprise architecture standards.
Design, build, and scale intelligent ML/AI systems and production-grade models on the Databricks Lakehouse platform. Lead the end-to-end ML lifecycle from concept and feature development to deployment and monitoring.
