Pega Lead Decisioning Architect (LDA)

Blend; Maryland; Remote; USD 83,000 - 138,000; Full time

Benefits offered by this job

Remote work

Contract-to-hire

W2 through Blend360

US-based eligible

Job summary

Blend360 is seeking an experienced Pega Lead Decisioning Architect to lead architecture, development, and optimization of a large-scale Pega CDH platform. This senior role combines technical leadership with hands-on solution design, decision strategy development, integrations, deployment, and production support.

The ideal candidate has extensive experience leading enterprise Pega CDH implementations and will own a complex production environment with minimal ramp-up time, including direct

Qualifications

• 10+ years of technology experience.
• 7+ years hands-on Pega experience.
• 4+ years hands-on Pega CDH experience.
• 4+ years enterprise systems architecture experience.
• Experience leading enterprise-scale Pega CDH implementations.
• Strong experience with Next Best Action Designer and real-time decisioning.

Responsibilities

• Lead architecture and delivery of enterprise Pega CDH solutions with platform standards.
• Translate business requirements into scalable decisioning solutions for high-volume engagement.
• Design Next Best Action strategies across real-time channels.
• Configure decisioning elements: rules, policies, and arbitration.
• Develop decision strategies with propensity, context, and relevance.
• Use Prediction Studio to manage, evaluate, deploy, and monitor models.
• Design real-time containers and APIs for multiple channels.
• Develop outbound decisioning and campaign orchestration.

Skills

Pega CDH

Enterprise architecture

SQL

Next Best Action

Real-time decisioning

Leadership

Tools

Kafka

Snowflake

Pega Infinity 21+

Pega Cloud

Job description

Location: 100% Remote within the United States

Employment Type: W2, 18-month contract-to-hire

Compensation: Up to $100 per hour

Work Authorization: No current or future sponsorship, visa transfers, or C2C arrangements available.

Position Overview

Blend360 is seeking an experienced Pega Lead Decisioning Architect to lead the architecture, development, and optimization of a large-scale enterprise Pega Customer Decision Hub (CDH) platform.

This senior, hands-on role combines technical leadership with direct involvement in solution design, decision strategy development, integrations, deployment, performance optimization, troubleshooting, and production support.

The ideal candidate has extensive experience leading enterprise Pega CDH implementations and can take ownership of a complex production environment with minimal ramp-up time. Experience must include direct responsibility for customer decisioning capabilities beyond general Pega case management or workflow development.

Key Responsibilities

• Lead the architecture and technical delivery of enterprise Pega CDH solutions, establishing platform standards, reusable design patterns, and development practices.
• Translate business requirements into scalable decisioning solutions supporting high-volume customer engagement.
• Design and develop Next Best Action strategies across real-time inbound and outbound channels.
• Configure issues, groups, actions, treatments, taxonomies, and engagement policies.
• Build eligibility, applicability, suitability, contact policy, suppression, and arbitration rules.
• Develop decision strategies incorporating propensity, business value, customer context, prioritization, and relevance.
• Configure adaptive and predictive models, champion-challenger testing, and model monitoring. Use Prediction Studio to manage, evaluate, deploy, and monitor analytical models.
• Design real-time containers and APIs supporting web, mobile, contact center, and other inbound channels.
• Develop outbound decisioning and campaign orchestration capabilities for email, SMS, direct mail, and other communication channels.
• Design data flows, data sets, event strategies, customer profile updates, and real-time processing patterns.
• Integrate CDH with customer data platforms, databases, cloud services, analytical platforms, and external systems using REST, SOAP, streaming, and database integrations.
• Write and optimize SQL for data validation, customer segmentation, troubleshooting, reporting, and production analysis.
• Lead platform upgrades, application modernization, cloud migrations, and technical remediation.
• Review application architecture, class structures, rulesets, data models, security, integration patterns, and deployment strategies.
• Conduct code reviews and enforce Pega guardrails and development best practices.
• Diagnose production incidents involving decision strategies, integrations, data flows, APIs, models, performance, and customer eligibility.
• Use Pega diagnostic and monitoring tools to identify performance issues, failed processes, data problems, and production defects.
• Support release planning, deployment validation, regression testing, performance testing, and post-production monitoring.
• Collaborate with product owners, business stakeholders, data scientists, engineers, architects, and infrastructure teams.
• Mentor System Architects, Senior System Architects, decisioning consultants, and developers.
• Create architecture diagrams, technical designs, support documentation, deployment plans, and operational procedures.
• Communicate technical risks, dependencies, design decisions, and production issues to technical and business leadership.

Required Qualifications

• 10+ years of overall technology experience.
• 7+ years of hands-on Pega experience.
• 4+ years of hands-on Pega CDH experience.
• 4+ years of enterprise systems architecture experience.
• 4+ years supporting Pega applications in production.
• 4+ years of hands-on Pega application architecture and development.
• 4+ years of professional SQL experience.
• Hands-on experience with Pega Infinity 21 or newer.
• Direct experience leading enterprise-scale Pega CDH implementations.
• Strong experience with Next Best Action Designer and real-time customer decisioning.
• Strong knowledge of decision strategies, engagement policies, arbitration, contact policies, and adaptive models.
• Experience supporting both inbound and outbound decisioning channels.
• Experience designing real-time containers, APIs, data flows, and external integrations.
• Experience with production deployments, incident resolution, performance tuning, and platform monitoring.
• Strong understanding of Pega application architecture, class structures, rulesets, data models, security, and integration patterns.
• Ability to lead technical delivery while remaining hands-on with configuration, development, troubleshooting, and optimization.
• Experience supporting enterprise platforms with high transaction volumes, multiple customer channels, and complex data dependencies.

Required Certifications

Candidates must hold the following active, verifiable Pega certifications earned through Pega's formal examination process:

Pega Academy coursework, self-guided missions, achievement badges, and course completion records alone do not satisfy these requirements. Certifications must be verifiable through the official Pega certification directory.

Preferred Qualifications

• Recent experience with Pega Infinity 24.x or newer.
• Experience leading CDH platforms in healthcare, pharmacy, insurance, banking, or another regulated industry.
• Experience supporting large customer populations and high-volume real-time decisions.
• Experience with Pega Cloud and enterprise cloud migrations.
• Experience with Kafka or another real-time event-streaming platform.
• Experience integrating CDH with Snowflake or other enterprise data platforms.
• Experience with customer data platforms, marketing technology platforms, and campaign management systems.
• Experience with model governance, model deployment, and collaboration with data science teams.
• Experience modernizing legacy decisioning applications and migrating customized logic into supported Pega patterns.
• Experience leading distributed teams across onshore and offshore delivery models.
• Experience supporting regulated data, security, compliance, and audit requirements.

What Success Looks Like

You will take ownership of a complex enterprise CDH environment with minimal training or ramp-up time, applying a strong understanding of how decision strategies, customer data, analytical models, channels, integrations, infrastructure, and production operations work together.

Success requires sound architectural judgment, hands-on technical expertise, effective production troubleshooting, and the ability to guide teams through complex implementation and modernization efforts. You will identify risks early and keep the platform scalable, stable, maintainable, and aligned with customer engagement goals.

• 100% remote within the United States.
• W2 employment through Blend360.
• 18-month contract-to-hire engagement, with eligibility for direct hire within 18 months.
• Compensation up to $100 per hour.
• No C2C arrangements, visa transfers, or current or future immigration sponsorship.
• Candidates must already have unrestricted authorization to work in the United States.