Marketing Campaign Orchestration Analyst

Marketing Campaign Orchestration Analyst

Location: Vienna, VA

Hybrid: Three-days per week onsite

Join a dynamic team scaling a Next Best Interaction (NBI) program that transforms behavioral insights into meaningful, personalized customer experiences. In this hands-on role, you'll be at the intersection of marketing strategy, customer analytics, and decisioning technology—converting complex requirements into elegant omnichannel campaigns powered by Pega Customer Decision Hub (CDH).

This is a delivery-focused position where you'll own the full lifecycle: from translating insight definitions into targeting rules, building decisioning logic, executing launches, and continuously optimizing based on real-world performance. You'll work cross-functionally with designers, data scientists, analysts, and technical teams to drive launches on schedule while maintaining consistency across all customer touchpoints.

• Launch omnichannel personalized insights in Pega CDH by translating insight definitions into targeting rules, eligibility criteria, treatments, and channel delivery patterns aligned to NBI standards
• Convert channel-specific campaign executions into unified omnichannel decisioning patterns, helping to retire duplicate or redundant channel builds across inbound and outbound channels
• Define decisioning requirements including audience definition, engagement constraints, contact policies, prioritization logic, and measurement frameworks
• Partner across agile delivery teams (Designers, Writers, Digital, Analytics, and Enterprise Technology/Data) to deliver launches on schedule and maintain alignment
• Support arbitration and consistency across inbound and outbound channels by applying engagement policies, contact rules, and prioritization guardrails
• Run validation and impact checks using simulations and pre/post-launch monitoring to confirm eligibility, volume, and expected business outcomes
• Troubleshoot decisioning and integration issues—including data discrepancies, logic conflicts, and delivery failures—and drive resolution with technical partners
• Measure and optimize campaign performance by recommending refinements to audience targeting, suppress ions, prioritization, treatment variations, and test designs
• Manage multiple concurrent launches while maintaining organized project artifacts and communicating risks, dependencies, and readiness status clearly to stakeholders

• Hands-on experience designing, configuring, or supporting Pega Customer Decision Hub (CDH) decisioning, including decision strategies, engagement policies, contact policies, and treatments
• Demonstrated ability to translate moderately complex marketing and customer experience requirements into targeting and personalization specifications
• Strong analytics skills, including SQL proficiency and the ability to validate outcomes and explain results to both business and technical stakeholders
• Experience working in agile delivery environments (Scrum/SAFe), including user story development, acceptance criteria definition, testing/QA coordination, and release readiness assessment
• Strong written and verbal communication skills with proven ability to align business and technical partners and drive decisions forward

• Pega Certified Decisioning Consultant certification or Certified Pega Data Scientist certification
• Familiarity with omnichannel personalization patterns, including inbound and outbound orchestration, prioritization logic, suppression strategies, and channel preference management
• Experience partnering with Data Science teams on predictors, segmentation, or model-driven targeting initiatives
• Comfort with modern analytics and productivity tools such as Databricks, Tableau, Power BI, and M365 Copilot
• Exposure to digital banking or financial services personalization and decisioning programs

• 30+ insights driven by external behavioral intent signals are successfully implemented as omnichannel CDH-decisioned experiences with clean requirements documentation, QA evidence, and post-launch monitoring in place
• All launches follow a consistent, repeatable…