At a Glance
- Tasks: Lead the design and implementation of Pega Decisioning solutions for a major transformation programme.
- Company: Join a non-profit government organisation making a real impact.
- Benefits: Competitive salary, professional development, and the chance to shape customer engagement strategies.
- Other info: Opportunity for technical leadership and career growth in a dynamic environment.
- Why this job: Play a key role in transforming enterprise decisioning capabilities and customer interactions.
- Qualifications: 8+ years experience, with strong Pega Decisioning and architecture skills.
Are you a Pega Lead Decisioning Architect (LDA) with 8+ years of overall experience, including at least 6 years in Pega Decisioning and Marketing/CDH ?
If so, our client, a non-profit making government-owned organisation is looking for an experienced Pega Lead Decisioning Architect (LDA) to lead the design and architecture of the Customer Decision Hub (CDH) workstream within a collections transformation programme.
You will translate business requirements into decisioning solutions, guide hands-on implementation and establish architecture and design standards.
Working closely with customer stakeholders, Pega specialists, business analysts and delivery teams, you will shape customer-level prioritisation, treatment strategies and Next-Best-Action capabilities.
Collections experience is preferred.
Must Have skills/knowledge/experience
- 8+ years of overall experience, including at least 6 years in Pega Decisioning and Marketing/CDH.
- Proven experience leading end-to-end Pega CDH architecture, solution design and hands-on implementation in a decisioning architect role.
- Strong knowledge of Pega Customer Decision Hub, Next-Best-Action strategy design and decisioning framework configuration.
- Expertise in customer segmentation, contact strategy, engagement policies, actions, treatments, arbitration and prioritisation.
- Experience designing inbound, outbound and real-time decisioning across multiple customer interaction channels.
- Hands-on experience with adaptive modelling, predictive models, decision strategy simulation, testing and performance monitoring.
- Strong understanding of customer data modelling, data flows, integration, distributed data platforms and database performance.
- Ability to apply Pega architecture, design and coding best practices and troubleshoot complex decisioning issues.
- Excellent customer-facing communication and stakeholder management skills, with the ability to explain decisioning concepts to business and technical audiences.
- Experience in technical leadership, mentoring, decisioning effort estimation and prioritisation within Agile/Scrum delivery teams.
Desirable skills/knowledge/experience
- Collections domain experience, preferably with hands-on Pega Collections and customer-centric treatment strategy implementation.
- Pega decisioning/CDH certification, experience with Pega Cloud and large-scale CRM solutions, and a strong Java/J2EE background.
Your responsibilities
- Lead end-to-end Pega CDH decisioning architecture, solution design and implementation for the collections workstream.
- Define and enforce Pega decisioning architecture, design and coding standards, applying platform best practices.
- Collaborate with business analysts and customer stakeholders to translate collections requirements into decisioning designs and technical user stories.
- Design Next-Best-Action strategies, customer segmentation, contact policies, arbitration and prioritisation across inbound, outbound and real-time interactions.
- Guide adaptive and predictive model integration to support customer-level prioritisation and collections treatment strategies.
- Coordinate customer data models, data flows and integration designs with workflow, data migration and integration teams.
- Provide hands-on technical leadership, design and code reviews, mentoring and knowledge transfer to decisioning developers.
- Guide decision strategy testing, simulation and performance validation, and support defect resolution and production readiness.
- Contribute decisioning effort estimates, prioritisation and dependency assessments to Agile story refinement and sprint planning.
- Explain decisioning design choices and benefits to customer, operational and Pega stakeholders, maintaining clear solution documentation.
Why Apply?
This is an opportunity to play a key architectural role on a high-profile transformation programme, influencing enterprise decisioning capabilities and helping shape customer engagement strategies at scale.
Interested? Apply now to discuss the role in more detail
Pega Lead Decisioning Architect (LDA) in Glasgow employer: Dcv Technologies
Join a forward-thinking company that values innovation and collaboration, where as a Senior Software Engineer, you will be at the forefront of developing cutting-edge maritime navigation and radar systems. Our supportive work culture fosters continuous learning and professional growth, offering you the chance to mentor junior engineers while working on impactful projects in a dynamic environment. Located in a vibrant area, we provide competitive benefits and a commitment to work-life balance, making us an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Pega Lead Decisioning Architect (LDA) in Glasgow
✨Join Local Tech Meetups
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We think you need these skills to ace Pega Lead Decisioning Architect (LDA) in Glasgow
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Dcv Technologies.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Dcv Technologies and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Dcv Technologies
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Dcv Technologies uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
