Architect
Key Skills for This Role
Full Job Posting
Mandatory skills
- Experience in marketing analytics, experimentation, campaign optimization, or customer decisioning.
- Hands-on A/B testing, controlled experiments, and champion-challenger testing experience.
- Understanding of Pega Customer Decision Hub, Pega Marketing, or comparable decisioning platforms.
- Knowledge of Next-Best-Action, segmentation, decision strategies, and customer engagement.
- Strong understanding of experiment design, control and treatment groups, hypothesis testing, and KPI measurement.
- Experience analyzing conversion, response, engagement, and incremental business outcome metrics.
- Working knowledge of SQL and customer data analysis.
- Experience with Excel, Power BI, Tableau, Python, or R; the listed analytical tools are alternatives.
- Strong analytical thinking, communication, reporting, and stakeholder-management skills.
Preferred skills
- Pega CDH experimentation capabilities, including champion-challenger strategies and decisioning optimization.
- Statistical significance, confidence intervals, sample size calculation, and experimental bias.
- Adaptive models, predictive analytics, and data-driven personalization.
- Customer journey optimization, omnichannel marketing, and real-time decisioning.
- Experience in retail banking, credit cards, loans, customer retention, or digital marketing.
- Campaign measurement, attribution, and customer lifetime value.
- Pega Decisioning Consultant certification or a relevant analytics certification.
Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, Marketing Analytics, Data Science, or a related field.
- 4–8 years of experience in marketing analytics, experimentation, decisioning, or campaign optimization.
- Experience delivering measurable improvements through structured experimentation and data-driven recommendations.
Screening criteria
- Hands-on A/B testing or champion-challenger experimentation experience.
- Understanding of experimental design, statistical significance, and conversion or uplift analysis.
- Exposure to Pega CDH or another enterprise decisioning platform.
- Strong SQL and analytical reporting capabilities.
- Ability to translate experiment results into practical business and customer engagement improvements.
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