Marketing Decisioning Analyst (Pega CDH)
Page Mechanical Group, Inc., Vienna, VA, United States
Pega Customer Decision Hub Specialist
Location:
Vienna, VA
Hybrid:
Three days onsite per week
Role Overview You will help scale our client's Next Best Interaction (NBI) program by converting and launching personalized insights driven by external behavioral intent signals as true omnichannel experiences powered by Pega Customer Decision Hub (CDH). A personalized insight is information about a member's behavior that is tailored to their individual circumstances, empowering them to better understand their financial behavior and deepening their relationship with our client.
You'll translate personalized insights into inbound and outbound campaigns, define targeting and eligibility, support build and QA, and monitor performance after launch. This role is hands-on and delivery-oriented: gather requirements, define and validate targeting, build the actions in Pega CDH, ship insights, and continuously optimize.
Key Responsibilities
Launch omnichannel insights in Pega CDH by translating insight definitions into targeting, eligibility rules, treatments, and channel delivery patterns aligned to NBI standards
Convert channel-specific executions into omnichannel decisioning patterns and help retire duplicate or redundant channel builds (inbound and outbound)
Define decisioning requirements including audience definition, constraints, contact policies, prioritization, and measurement
Partner across agile delivery teams (Designers, Writers, Digital, Analytics, and Enterprise Technology/Data) to deliver launches on schedule
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 where applicable and conduct pre/post-launch monitoring to confirm eligibility, volume, and expected business impact
Troubleshoot decisioning and integration issues (data discrepancies, logic conflicts, delivery failures) and drive resolution with technical partners
Measure and optimize performance by recommending refinements including audience tuning, suppressions, prioritization, treatment changes, and test variants
Manage multiple launches simultaneously; maintain organized artifacts and communicate risks, dependencies, and readiness clearly
Required Qualifications
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 experience requirements into targeting and personalization specifications
Strong analytics skills, including SQL proficiency and ability to validate outcomes and explain results to stakeholders
Experience working in agile delivery (Scrum/SAFe): user stories, acceptance criteria, testing/QA coordination, and release readiness
Strong written and verbal communication skills; able to align business and technical partners and drive decisions forward
Preferred Qualifications
Pega Certified Decisioning Consultant certification or Certified Pega Data Scientist certification
Familiarity with omnichannel personalization patterns including inbound and outbound orchestration, prioritization, suppression, and channel preferences
Experience partnering with Data Science on predictors, segmentation, or model-driven targeting
Comfort with modern analytics and productivity tooling such as Databricks, Tableau, Power BI, and M365 Copilot
Exposure to digital banking or financial services personalization and decisioning programs
Success Metrics (6-Month Horizon)
30+ insights driven by external behavioral intent signals are implemented as omnichannel CDH decisioned experiences with clean requirements, QA evidence, and post-launch monitoring
Launches follow a consistent workflow (requirements, build, QA, launch, monitor/optimize) and meet agreed readiness standards
Decision logic is accurate, measurable, and improved iteratively based on observed performance and stakeholder feedback
CC Pace is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic under federal, state, or local laws.
CC Pace are committed to employing only candidates who are legally authorized to work in the United States. For us to comply with the Immigration Reform and Control Act of 1986, all new employees, as a condition of employment, must complete the Employment Eligibility Verification Form I-9 and provide documentation that establishes identity and authorization to work. E-Verify will be used for employment verification as part of your onboarding process.
CC Pace values integrity throughout our hiring process. As part of our standard verification procedures, candidates will be asked to provide documentation confirming employment history, education, and work authorization.
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Vienna, VA
Hybrid:
Three days onsite per week
Role Overview You will help scale our client's Next Best Interaction (NBI) program by converting and launching personalized insights driven by external behavioral intent signals as true omnichannel experiences powered by Pega Customer Decision Hub (CDH). A personalized insight is information about a member's behavior that is tailored to their individual circumstances, empowering them to better understand their financial behavior and deepening their relationship with our client.
You'll translate personalized insights into inbound and outbound campaigns, define targeting and eligibility, support build and QA, and monitor performance after launch. This role is hands-on and delivery-oriented: gather requirements, define and validate targeting, build the actions in Pega CDH, ship insights, and continuously optimize.
Key Responsibilities
Launch omnichannel insights in Pega CDH by translating insight definitions into targeting, eligibility rules, treatments, and channel delivery patterns aligned to NBI standards
Convert channel-specific executions into omnichannel decisioning patterns and help retire duplicate or redundant channel builds (inbound and outbound)
Define decisioning requirements including audience definition, constraints, contact policies, prioritization, and measurement
Partner across agile delivery teams (Designers, Writers, Digital, Analytics, and Enterprise Technology/Data) to deliver launches on schedule
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 where applicable and conduct pre/post-launch monitoring to confirm eligibility, volume, and expected business impact
Troubleshoot decisioning and integration issues (data discrepancies, logic conflicts, delivery failures) and drive resolution with technical partners
Measure and optimize performance by recommending refinements including audience tuning, suppressions, prioritization, treatment changes, and test variants
Manage multiple launches simultaneously; maintain organized artifacts and communicate risks, dependencies, and readiness clearly
Required Qualifications
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 experience requirements into targeting and personalization specifications
Strong analytics skills, including SQL proficiency and ability to validate outcomes and explain results to stakeholders
Experience working in agile delivery (Scrum/SAFe): user stories, acceptance criteria, testing/QA coordination, and release readiness
Strong written and verbal communication skills; able to align business and technical partners and drive decisions forward
Preferred Qualifications
Pega Certified Decisioning Consultant certification or Certified Pega Data Scientist certification
Familiarity with omnichannel personalization patterns including inbound and outbound orchestration, prioritization, suppression, and channel preferences
Experience partnering with Data Science on predictors, segmentation, or model-driven targeting
Comfort with modern analytics and productivity tooling such as Databricks, Tableau, Power BI, and M365 Copilot
Exposure to digital banking or financial services personalization and decisioning programs
Success Metrics (6-Month Horizon)
30+ insights driven by external behavioral intent signals are implemented as omnichannel CDH decisioned experiences with clean requirements, QA evidence, and post-launch monitoring
Launches follow a consistent workflow (requirements, build, QA, launch, monitor/optimize) and meet agreed readiness standards
Decision logic is accurate, measurable, and improved iteratively based on observed performance and stakeholder feedback
CC Pace is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic under federal, state, or local laws.
CC Pace are committed to employing only candidates who are legally authorized to work in the United States. For us to comply with the Immigration Reform and Control Act of 1986, all new employees, as a condition of employment, must complete the Employment Eligibility Verification Form I-9 and provide documentation that establishes identity and authorization to work. E-Verify will be used for employment verification as part of your onboarding process.
CC Pace values integrity throughout our hiring process. As part of our standard verification procedures, candidates will be asked to provide documentation confirming employment history, education, and work authorization.
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