Lead the design, development, configuration, and integration of Oracle Insurance Policy Administration solutions supporting Life Insurance products.
Compensation
The starting pay range for this remote role is $92,408 - $171,125. This range reflects the minimum and maximum target compensation for the position across all US locations.
Responsibilities
Design, develop, configure, and implement new functionality within Oracle Insurance Policy Administration (OIPA).
Analyze business requirements and collaborate with Business Analysts to define technical solutions and implementation approaches.
Configure OIPA products, transactions, rules, plans, activities, screens, workflows, and business processes.
Develop and maintain OIPA XML configuration, XSLT transformations, SQL queries, business rules, and custom components.
Build and support OIPA integrations using Oracle SOA Suite, MuleSoft, REST APIs, SOAP services, real-time interfaces, batch processes, and file-based integrations.
Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, Finance, Actuarial Science, or related field, or equivalent work experience.
Design, build and maintain test automation frameworks for public sector digital services, focusing on accessibility, API, performance and cloud-native testing.
Responsibilities
Design, build and maintain test automation frameworks
Automate API testing using Rest Assured, Postman and Swagger
Integrate automated tests into CI/CD pipelines (Jenkins, GitHub or GitLab)
Write BDD scenarios using Cucumber, SpecFlow or Reqnroll
Run functional, integration, end-to-end, regression and acceptance testing
Requirements
Nice to have: Accessibility testing tools such as Axe, WAVE, Lighthouse, JAWS, Dragon or ZoomText
Nice to have: UK government or GOV.UK service experience
Nice to have: Existing BPSS or SC clearance or eligibility for SC
Nice to have: Performance testing with k6, JMeter or BlazeMeter
Nice to have: Monitoring tools such as Grafana and Kibana
Lead analytical initiatives for merchant retention, trigger arbitration, and predictive insights to support global merchant growth and client management.
Compensation
Competitive base salaries
Bonus incentives
Responsibilities
Provide analytic and execution support for merchant retention, trigger arbitration, treatment playbooks, and predictive insights
Analyze merchant performance, spend, engagement, coverage, and behavioral trends to identify early indicators of decline, retention risk, and growth opportunities
Support the development and scaling of merchant trigger capabilities
Help translate analytical pilots and proof-of-concepts into governed, production-ready capabilities
Partner with cross-functional stakeholders to understand business questions and deliver insights
Requirements
Bachelor's in Statistics/Mathematics/Economics/Engineering/Data Science
Responsible for managing, maintaining, and supporting enterprise Informatica environments, ensuring stability, availability, security, and performance of Informatica platforms while supporting ETL operations and data integration initiatives.
Responsibilities
Install, configure, administer, and maintain Informatica PowerCenter environments
Lead design, build, and optimize production data pipelines on Databricks, while providing technical leadership and mentoring within the Data & Analytics team.
Responsibilities
Design and build robust, production-grade data pipelines on Databricks
Optimize platform performance and cost tuning compute, jobs and queries
Define and maintain consistent business metrics and a semantic layer
Integrate data from core business systems such as SAP S/4HANA and other sources
Set and uphold engineering standards across the team
Requirements
Relevant tertiary qualification in Computer Science, Information Systems, Engineering or a related field, or equivalent practical experience
Nice to have: Experience with SAP S/4HANA data sets
Nice to have: Experience with Fivetran SaaS connectors and HVR
Lead portfolio planning for one of the world’s leading consumer brand portfolios, turning complex analysis into clear, commercially grounded recommendations for senior client stakeholders.
Compensation
The annual salary range for this position is $136,850 - $180,000.
Responsibilities
Own analytical tools that inform portfolio recommendations
Frame business questions and evolve analysis as objectives change
Pressure-test findings against market reality, category dynamics and brand strategy
Turn complex analysis into clear, commercially grounded recommendations
Integrate large datasets and identify gaps and anomalies