Marketing Campaign Orchestration Analyst (Pega CDH)
Jobs via Dice, Vienna, VA, United States
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Seneca Resources, LLC, is seeking the following. Apply via Dice today!
Title: Marketing Campaign Orchestration Analyst (Pega CDH)
Experience: 5–10 years
Location: Vienna, Virginia (Hybrid – 3 days onsite)
Duration: 6 months contract
Pay:
W2: $55–$60/hr (+ PTO)
C2C: $65–$70/hr
What You’ll Actually Be Doing
Turn customer behavioral insights into live campaigns
Build and configure logic inside Pega Customer Decision Hub (CDH)
Define:
Audience targeting
Eligibility rules
Contact policies
Prioritization logic
Launch omnichannel campaigns (inbound + outbound)
Validate performance using:
SQL
Simulations
Post-launch analytics
Continuously optimize campaigns (A/B testing, suppression rules, tuning)
In short:
You are the bridge between marketing strategy, data, and decision engines.
Key Skills They REALLY Care About These are the make-or-break areas:
Pega CDH (Critical)
Decision strategies
Engagement & contact policies
Treatments & arbitration logic. If you don’t have hands‑on CDH, this role is tough to land.
SQL + Analytics
Validate targeting logic
Analyze campaign performance
Explain results to stakeholders
Personalization & Targeting
Translating business requirements into:
Segments
Rules
Campaign logic
Agile Delivery
User stories
Acceptance criteria
QA/testing coordination
What Makes This Role Interesting
Focus on Next Best Interaction (NBI) → advanced personalization
True omnichannel orchestration (not siloed campaigns)
Heavy exposure to:
Decision engines
Behavioral data
Real-time marketing
This is closer to:
MarTech + Decision Science + Campaign Ops
Who This Role Is PERFECT For
A Pega CDH developer/analyst
A campaign analyst moving into decisioning
Someone with:
Martech platforms (Adobe, Salesforce, etc.)
AND strong SQL + personalization logic
How to Position Yourself (if applying)
“Built decision strategies in Pega CDH”
“Designed omnichannel campaigns with prioritization logic”
“Used SQL to validate audience and measure performance”
“Worked in agile environments delivering campaign releases”
Quick Self-Check
Have I built or configured decisioning logic (not just campaigns)?
Have I worked with customer‑level targeting rules?
Can I write SQL to validate campaign outputs?
Have I worked in Agile delivery teams?
#J-18808-Ljbffr
Title: Marketing Campaign Orchestration Analyst (Pega CDH)
Experience: 5–10 years
Location: Vienna, Virginia (Hybrid – 3 days onsite)
Duration: 6 months contract
Pay:
W2: $55–$60/hr (+ PTO)
C2C: $65–$70/hr
What You’ll Actually Be Doing
Turn customer behavioral insights into live campaigns
Build and configure logic inside Pega Customer Decision Hub (CDH)
Define:
Audience targeting
Eligibility rules
Contact policies
Prioritization logic
Launch omnichannel campaigns (inbound + outbound)
Validate performance using:
SQL
Simulations
Post-launch analytics
Continuously optimize campaigns (A/B testing, suppression rules, tuning)
In short:
You are the bridge between marketing strategy, data, and decision engines.
Key Skills They REALLY Care About These are the make-or-break areas:
Pega CDH (Critical)
Decision strategies
Engagement & contact policies
Treatments & arbitration logic. If you don’t have hands‑on CDH, this role is tough to land.
SQL + Analytics
Validate targeting logic
Analyze campaign performance
Explain results to stakeholders
Personalization & Targeting
Translating business requirements into:
Segments
Rules
Campaign logic
Agile Delivery
User stories
Acceptance criteria
QA/testing coordination
What Makes This Role Interesting
Focus on Next Best Interaction (NBI) → advanced personalization
True omnichannel orchestration (not siloed campaigns)
Heavy exposure to:
Decision engines
Behavioral data
Real-time marketing
This is closer to:
MarTech + Decision Science + Campaign Ops
Who This Role Is PERFECT For
A Pega CDH developer/analyst
A campaign analyst moving into decisioning
Someone with:
Martech platforms (Adobe, Salesforce, etc.)
AND strong SQL + personalization logic
How to Position Yourself (if applying)
“Built decision strategies in Pega CDH”
“Designed omnichannel campaigns with prioritization logic”
“Used SQL to validate audience and measure performance”
“Worked in agile environments delivering campaign releases”
Quick Self-Check
Have I built or configured decisioning logic (not just campaigns)?
Have I worked with customer‑level targeting rules?
Can I write SQL to validate campaign outputs?
Have I worked in Agile delivery teams?
#J-18808-Ljbffr