Reliance Health

Product Manager

• Own the product lifecycle from concept through launch, including creating detailed product roadmaps and driving UX decisions.
• Manage and prioritize product backlogs in collaboration with engineering and design teams, using agile methodologies such as sprint planning, stand-ups, retrospectives, and demos.
• Lead communication efforts for product releases, ensuring clear messaging internally and externally.
• Collaborate with multiple stakeholders across teams and departments to align priorities, build trust, and deliver strategic initiatives.
• Use data-driven approaches to inform product decisions, leveraging analytics tools like Mixpanel and Amplitude to monitor performance and identify improvement opportunities.
• Develop and communicate a clear product vision that is easily understood by diverse audiences, including senior leadership and cross-functional teams.
• Translate complex operational and technical requirements into clear product roadmaps and work with engineering and operations to deliver robust, scalable solutions.
• Focus on products with significant technical depth, such as infrastructure integrations, workflow automation, and data management.

Product Manager, Internal Tools

Manager

• Develop and implement processes that delight providers on our network as measured by feedback surveys.
• Harmonize provider relationship management process across all markets to address the provider journey map, bottlenecks, and local regulatory compliance.
• Leverage data and analytics to monitor provider performance, identify trends and risks, and inform continuous improvements.
• Develop and implement a strategy to measure and improve the Reliance Health member experience at network providers.
• Develop and implement incentives for providers to minimize wait times and maximize medical quality for members.
• Collaborate closely with Claims, Tariffs, and Case Management teams to align provider-facing processes for efficient claims processing and cost control.
• Lead and manage the provider acquisition and relationship management team, using data to track clinical quality, member satisfaction, and adherence to standards.
• Ensure timely and effective resolution of internal and external escalations related to provider issues, using root cause analysis.
• Strengthen provider onboarding and engagement processes to align with operational expectations and reduce long wait times and denied care.
• Use performance dashboards and data insights to set targets, monitor outcomes, and coach the team to optimize provider compliance and patient-centered service delivery.

Manager, Provider Relations

DevOps Engineer

• Manage and optimise infrastructure in AWS, with a focus on cost control and resilience.
• Operate and improve our Nomad orchestration platform (migrating from Kubernetes).
• Maintain and enhance our Octopus Deploy pipelines for CI/CD.
• Ensure infrastructure-as-code best practices using Terraform/OpenTofu.
• Support deployments across multiple environments (development, staging, production) and countries.
• Ensure platform availability meets agreed SLAs.
• Troubleshoot and resolve infrastructure and deployment issues efficiently.
• Implement and maintain security best practices at the infrastructure level.
• Manage access control, secrets management, and environment segregation.
• Partner with developers to improve deployment workflows and environment consistency.
• Participate in incident resolution and root cause analysis (within business hours).
• Document processes, architecture, and operational runbooks.

Data Scientist

• Transform complex datasets into actionable insights to drive strategic business outcomes.
• Lead end-to-end data science projects, from data collection and preprocessing to model deployment and delivery.
• Design, implement, and maintain advanced ML models, including regression, clustering, anomaly detection, and NLP applications.
• Write optimized SQL queries to extract, manipulate, and analyze large datasets.
• Translate complex data insights into actionable recommendations for technical and non-technical stakeholders.
• Collaborate with cross-functional teams to define data requirements and implement scalable analytical solutions.
• Monitor model performance, conduct A/B tests, and implement improvements to maintain accuracy and reliability.
• Document methodologies, workflows, and data dictionaries to ensure reproducibility and knowledge sharing.
• Mentor and guide junior data scientists, promoting best practices and technical excellence.

Financial Planning and Analysis

• Support the preparation of budgets and forecasts for a market or function by gathering data, validating assumptions, and maintaining accuracy
• Perform variance, trend, and ratio analysis to evaluate performance against budgets, forecasts, and historical trends
• Compile accurate financial reports and dashboards, highlighting key findings and recommendations for stakeholders
• Use analytics and visualization tools (Excel, Power BI, or similar) to present insights in a clear, actionable way
• Build and maintain simple financial models to support forecasting, budgeting, and decision-making
• Work with teams across the business to track and report on key performance indicators (KPIs)
• Conduct financial analysis to support cost efficiency, investment decisions, or special business initiatives
• Apply knowledge of accounting standards (e.g., GAAP, IFRS) to ensure reporting accuracy and compliance

Financial Planning and Analysis Associate

Reliance Health’s mission is to make quality healthcare delightful, affordable, and accessible in emerging markets. From Nigeria, Egypt, Senegal and beyond, we offer comprehensive health plans tailored to both employers’ and employees’ needs through an integrated approach that includes telemedicine, affordable health insurance, and a combination of partner and proprietary healthcare facilities. By leveraging advanced technology, we are transforming the healthcare landscape, making it more efficient and accessible for everyone.
We are hiring an Associate Data Scientist to transform complex data into actionable insights, partnering with stakeholders to solve business challenges through statistical analysis, machine learning, and compelling data storytelling. The ideal candidate is analytical, curious, and collaborative, skilled in data analysis, visualization, and communication, and able to translate raw data into clear, impactful recommendations.
As an Associate Data Scientist, you will do the following:
Collect, clean, and preprocess structured and unstructured datasets for analysis and modeling.
Build, validate, and deploy statistical and machine learning models to solve business problems.
Write optimized SQL queries to extract and manipulate data from relational databases.
Develop insightful dashboards and visualizations using tools such as Power BI, Tableau, or similar.
Translate technical findings into clear, actionable insights for both technical and non-technical stakeholders.
Collaborate with cross-functional teams (engineering, product, operations) to define data requirements and deliver analytical solutions.
Continuously monitor model performance and retrain or improve algorithms as needed.
Document methodologies, workflows, and data dictionaries to ensure reproducibility.
Stay updated with emerging data science, AI/ML, and analytics best practices.