V
Architect
V
Architect
Virtusa- Posted 2 hours ago
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Job Description
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.
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.
More Info
Key Skills
champion-challenger testing
Pega Customer Decision Hub (CDH)
Pega Marketing
Next-Best-Action (NBA)
controlled experiments
R
experiment design
KPI measurement
About Company
Skills:
Integrations, Business Rules, Regression Testing, Test Cases, Test Data, Agile, Scrum, Test Scenarios, Soapui, Jira, Sql, Retesting, Postman, Defect Logging, defect lifecycle management, test execution reports, Pega Prpc, data pages, Pega Platform, SOAP APIs, data transforms, rule behavior, end-to-end testing, CI CD pipelines, Process Automation, case management workflows
Skills:
Oracle Brm, C, C++, Java, PL/SQL, BRM Development, PCM Java, PCM C, BRM Architecture, BRM Customization
Early Applicant
Skills:
MLops, Rest Apis, Python, Computer Vision, LangChain, Generative AI, LLMOps, vector databases, containerisation, Llm, LangGraph, Agentic AI, GPU inference, RAG, cloud AI platforms, Langflow, BPMN 2.0, Flowable
Skills:
threat modeling , architecture reviews , network security, Node.js, Kotlin, Encryption, Typescript, Application Security, Gcp, Iso 27001, Distributed Systems, Owasp, Iam, Swift, Python, AWS, risk assessments, CIS, Security Architecture, nist, secure design
Skills:
.NET, C#, Apis, cloud security, Data Privacy, Python, Entra ID, generative AI, secrets management, sizing models, Microsoft AI stack, implementation plans, responsible AI controls, architecture diagrams, private networking, role-based access control, RAG, large language models, AI agents, SDKs, managed identities, sequence flows