Pega CDH Senior Decisioning Architect - Pega Certified Decisioning Consultant (PCDC)
Posted 4 days ago by Vallum
Negotiable
Inside
Onsite
Birmingham, UK
Summary: The Senior Pega Decisioning Architect is a strategic, hands-on role focused on designing and optimizing decisioning frameworks within the Pega platform, particularly the Pega Customer Decision Hub (CDH). This position requires translating business objectives into scalable decisioning strategies while executing practical configurations and implementations. The role demands collaboration with various stakeholders to ensure effective decisioning solutions. The architect will also provide technical leadership and mentorship to development teams.
Key Responsibilities:
- Architecting Decision Strategies: Design and establish the architecture for complex decisioning strategies using Pega CDH, including Next-Best-Action (NBA) frameworks, Real Time containers, and adaptive models.
- Business to Technical Translation: Collaborate with business stakeholders, product owners, and data scientists to translate customer engagement goals and business requirements into effective and scalable decisioning frameworks.
- Defining Policies & Rules: Define and implement engagement policies, arbitration rules, and predictive models to optimize customer interactions across various channels.
- Data Integration: Ensure seamless integration with enterprise systems, including CRMs, data warehouses, marketing platforms, and third-party tools to support the decisioning engine.
- Decisioning Artifacts: Be responsible for the end-to-end build, unit testing, and deployment of Pega decisioning artifacts, such as strategies, propositions, treatments, actions, and contact policies.
- Next-Best-Action Designer: Implement and configure rules within the Next-Best-Action Designer, including configuring arbitration, taxonomy, and strategies.
- Model Management: Work hands-on with Pega's Adaptive Decision Manager (ADM) and Prediction Studio to create, monitor, and optimize adaptive and predictive models.
- Data Flows & Sets: Develop and configure data flows, data sets, and data transform rules to support the decisioning and reporting requirements.
- Troubleshooting & Performance: Actively participate in performance tuning, simulation testing, and validation of decisioning logic. Debug and troubleshoot the NBA framework and associated components.
- Technical Leadership: Provide technical guidance and mentorship to development teams, ensuring adherence to Pega best practices and architecture standards.
- Cross-Functional Collaboration: Serve as a key liaison between business stakeholders, technical leads, and QA teams to ensure alignment and clear communication throughout the project life cycle.
- Code Review & Governance: Perform code and design reviews to ensure the quality and maintainability of the Pega solution. Ensure compliance with enterprise architecture standards and governance.
- Documentation: Maintain comprehensive documentation of requirements, design decisions, and business processes related to the decisioning framework.
Key Skills:
- Pega Experience: 5+ years of hands-on experience in Pega, with a strong specialization in Pega Decisioning.
- Core Decisioning Expertise: Deep, hands-on experience with Pega CDH, Next-Best-Action Designer, Pega AI, and related concepts.
- Technical Proficiency: Experience with Pega Platform versions 8.x and above.
- Proficiency in configuring strategies, propositions, treatments, and channels.
- Strong knowledge of Pega's data model, data flows, and integration capabilities (eg, REST, SOAP).
- Certifications: Pega Certified Decisioning Consultant (PCDC) is essential; Pega Certified Lead Decisioning Architect certification would be a significant advantage.
- Soft Skills: Exceptional communication and stakeholder management skills; strong analytical and problem-solving abilities; ability to work both independently and lead a team in an Agile environment.
- Domain Knowledge: Experience in industries that heavily use Real Time personalization, such as financial services, telecommunications, or marketing, is highly desirable.
Salary (Rate): 600GBP/Day
City: Birmingham
Country: UK
Working Arrangements: on-site
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Job Title: Pega CDH Senior Decisioning Architect - Pega Certified Decisioning Consultant (PCDC)
Location: Sheffield/Birmingham, UK (3Days/Week Onsite)
Duration: 6months+
600GBP/Day Inside IR35
Role Summary:
The Senior Pega Decisioning Architect is a hands-on, strategic role responsible for designing, building, and optimizing the decisioning framework within the Pega platform, with a strong focus on the Pega Customer Decision Hub (CDH). This individual will be a subject matter expert who can translate business goals into scalable and efficient decisioning strategies, while also performing the practical configuration and implementation of those solutions.
Key Responsibilities:
1. Strategic Design & Architecture (Decisioning Vision):
* Architecting Decision Strategies: Design and establish the architecture for complex decisioning strategies using Pega CDH, including Next-Best-Action (NBA) frameworks, Real Time containers, and adaptive models.
* Business to Technical Translation: Collaborate with business stakeholders, product owners, and data scientists to translate customer engagement goals and business requirements into effective and scalable decisioning frameworks.
* Defining Policies & Rules: Define and implement engagement policies, arbitration rules, and predictive models to optimize customer interactions across various channels.
* Data Integration: Ensure seamless integration with enterprise systems, including CRMs, data warehouses, marketing platforms, and third-party tools to support the decisioning engine.
2. Hands-on Configuration & Implementation (Technical Execution):
* Decisioning Artifacts: Be responsible for the end-to-end build, unit testing, and deployment of Pega decisioning artifacts, such as strategies, propositions, treatments, actions, and contact policies.
* Next-Best-Action Designer: Implement and configure rules within the Next-Best-Action Designer, including configuring arbitration, taxonomy, and strategies.
* Model Management: Work hands-on with Pega's Adaptive Decision Manager (ADM) and Prediction Studio to create, monitor, and optimize adaptive and predictive models.
* Data Flows & Sets: Develop and configure data flows, data sets, and data transform rules to support the decisioning and reporting requirements.
* Troubleshooting & Performance: Actively participate in performance tuning, simulation testing, and validation of decisioning logic. Debug and troubleshoot the NBA framework and associated components.
3. Leadership & Collaboration:
* Technical Leadership: Provide technical guidance and mentorship to development teams, ensuring adherence to Pega best practices and architecture standards.
* Cross-Functional Collaboration: Serve as a key liaison between business stakeholders, technical leads, and QA teams to ensure alignment and clear communication throughout the project life cycle.
* Code Review & Governance: Perform code and design reviews to ensure the quality and maintainability of the Pega solution. Ensure compliance with enterprise architecture standards and governance.
* Documentation: Maintain comprehensive documentation of requirements, design decisions, and business processes related to the decisioning framework.
Required Qualifications & Skills:
* Pega Experience: 5+ years of hands-on experience in Pega, with a strong specialization in Pega Decisioning.
* Core Decisioning Expertise: Deep, hands-on experience with Pega CDH, Next-Best-Action Designer, Pega AI, and related concepts.
Technical Proficiency:
. Experience with Pega Platform versions 8.x and above.
. Proficiency in configuring strategies, propositions, treatments, and channels.
. Strong knowledge of Pega's data model, data flows, and integration capabilities (eg, REST, SOAP).
Certifications (Highly Preferred):
. Pega Certified Decisioning Consultant (PCDC) is essential.
. Pega Certified Lead Decisioning Architect certification would be a significant advantage.
Soft Skills:
. Exceptional communication and stakeholder management skills.
. Strong analytical and problem-solving abilities.
. Ability to work both independently and lead a team in an Agile environment.
Domain Knowledge: Experience in industries that heavily use Real Time personalization, such as financial services, telecommunications, or marketing, is highly desirable.