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Closed on August 30, 2026.
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Job Description
Responsibilities
- Lead the complete Next Best Action delivery lifecycle, from strategy and design through development, testing, deployment, measurement, and ongoing optimization.
- Translate business objectives into actionable inclusion and exclusion criteria, targeting logic, and decision strategies.
- Develop and maintain SQL and BigQuery based data pipelines to support campaign targeting, sizing, execution, and reporting.
- Build and refine measurement frameworks to evaluate campaign effectiveness, business outcomes, and member engagement.
- Conduct ad hoc analyses to uncover optimization opportunities and inform stakeholder decisions.
- Configure and support NBA implementations within Pega, ensuring launch readiness and process validation.
- Perform campaign QA, monitor operations, and resolve issues to ensure successful NBA execution.
- Collaborate with business, product, and technology teams to drive data-informed decisioning and recommendation strategies.
- Support experimentation and test-and-learn initiatives, including A/B testing and performance measurement.
- Leverage predictive models, AI/ML, and LLM-based inference where appropriate to enhance decisioning effectiveness.
Requirements
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
- Proficiency in SQL
- Experience with Google Cloud Platform (GCP)
- Expertise with BigQuery
- Python programming skills
- Hands-on experience designing and managing BigQuery pipelines and analytical workflows
- Strong understanding of campaign targeting, audience segmentation, recommendation systems, and decision strategies
- Experience designing and implementing measurement frameworks and performance analytics
- Ability to translate complex business problems into scalable analytical solutions
Technologies
- SQL
- Google Cloud Platform (GCP)
- BigQuery
- Python
- Pega
Preferred Qualifications
- Experience in healthcare analytics, member engagement, or payer organizations
- Knowledge of experimentation methodologies, uplift modeling, ranking/recommendation systems, and product analytics
- Exposure to machine learning and Generative AI and LLM inference use cases
- Experience supporting operational campaign delivery and production decisioning environments
- Experience with Pega Decisioning or related campaign orchestration platforms
- Strong experience in NBA, campaign management, decisioning, or customer engagement analytics
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