Pega CDH Lead Decisioning Architect TPO/Senior Consultant Specialist

We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist. In this role, you will own the end-to-end CDH decisioning architecture, define and govern NBA Designer implementation, translate business objectives into decisioning logic, oversee data integration into CDH, provide hands-on technical leadership, set quality and governance standards, drive optimisation and testing, and ensure compliance and responsible AI.

Responsibilities:

• Own the end-to-end CDH decisioning architecture (framework, patterns, scalability, performance, enterprise alignment).
• Define and govern NBA Designer implementation (taxonomy, treatments, engagement policies, arbitration, 1:1 Ops Manager).
• Translate business objectives into decisioning logic with Marketing/Product/Data Science (use cases, KPIs, rules, journeys).
• Oversee data integration into CDH (real-time and batch feeds from CRM/DWH/event streams; data quality and availability).
• Provide hands-on technical leadership across Strategy rules, Data Flows, proposition/offer management, and model integration.
• Set quality and governance standards (best practices, code reviews, solution audits, maintainability).
• Drive optimisation and testing (performance tuning, simulation, A/B testing, monitoring, continuous refinement to improve ROI).
• Ensure compliance and responsible AI (regulatory adherence, ethical AI, internal risk frameworks, auditability).

Requirements:

• Pega CDH decisioning mastery (NBA Designer, Strategy rules, Engagement Policies, Arbitration, Treatments/Taxonomy).
• Real-time NBA solution architecture experience at scale (low-latency decisioning, omnichannel execution, resilience).
• Decisioning model capability (Prediction Studio, adaptive/predictive models, champion–challenger, model governance).
• Data and integration skills (API/event streaming concepts, CRM/DWH integration, data architecture for decisioning).
• Marketing & personalisation domain knowledge (customer lifecycle, campaign orchestration, contact strategy, omnichannel).
• Quality engineering mindset (standards, performance tuning, testing, monitoring, maintainable configuration).
• Stakeholder management and communication (explain complex concepts to business and technical leaders; influence).
• Leadership and mentoring (coach architects, guide delivery teams, contribute to roadmap and thought leadership).