Architect

About the Job
Join a dynamic team focused on enhancing marketing effectiveness through data-driven decision-making and experimentation. As an integral part of our marketing analytics group, your expertise will play a pivotal role in optimizing campaigns, understanding customer behavior, and driving significant business outcomes.

Mandatory Skills

• Experience in marketing analytics, experimentation, campaign optimization, or customer decisioning.
• Hands-on experience with A/B testing, controlled experiments, and champion-challenger testing.
• Understanding of Pega Customer Decision Hub (CDH), Pega Marketing, or comparable marketing decisioning platforms.
• Knowledge of Next-Best-Action (NBA), customer segmentation, decision strategies, and customer engagement.
• Strong understanding of experiment design, control and treatment groups, hypothesis testing, and KPI measurement.
• Experience analyzing conversion rates, response rates, engagement metrics, and incremental business outcomes.
• Working knowledge of SQL and customer data analysis.
• Experience with analytical tools such as Excel, Power BI, Tableau, Python, or R.
• Strong analytical thinking, communication, reporting, and stakeholder-management skills.

Preferred Skills

• Experience with Pega CDH experimentation capabilities, including champion-challenger strategies and decisioning optimization.
• Understanding of statistical significance, confidence intervals, sample size calculation, and experimental bias.
• Experience with adaptive models, predictive analytics, and data-driven personalization.
• Familiarity with customer journey optimization, omnichannel marketing, and real-time decisioning.
• Experience in retail banking, credit cards, loans, customer retention, or digital marketing.
• Knowledge of marketing campaign measurement, attribution, and customer lifetime value.
• Pega Decisioning Consultant certification or 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.

Key Screening Criteria

• Hands-on A/B testing or champion-challenger experimentation experience.
• Understanding of experimental design, statistical significance, and conversion/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.