Pega CDH Architect

Role - Decisioning Scientist - PEGA CDH Participate in the design, development and delivery of a highly effective multi-channel customer contact communication strategy through the intelligent and safe use of data The outcomes will ensure we proactively meet customer needs and provide a seamless personalised engagement across all journeys making it simple and easy to build mutually beneficial relationships with our customers. Key Responsibilities Build strong relationships with stakeholders and work collaboratively to define and deploy a range of Next Best Action (NBA) propositions within our decisioning capability Partner with the relevant business area, using data to optimise the customer contact strategy and maintain a positive working relationship Deliver NBA propositions across the full life-cycle of development (Opportunity analysis, design, implementation, execution and evaluation) Provide a high quality customer decisioning capability supporting the end to end development cycle delivering timely, tailored and personalised content in any channel What you'll do As a Decisioning Scientist, you’ll be providing high-quality customer decisioning capability, supporting the end-to-end development cycle delivering timely, tailored and personalised content in any channel. You’ll collaborate with others to define and deploy a range of next best action (NBA) propositions within out decisioning capability. And, you’ll deliver these propositions across the full lifecycle of development, including opportunity analysis, design, implementation, execution and evaluation. Partnering with relevant business areas, using data to optimise the customer contact strategy and maintain a positive working relationship Exploring data within a range of analytical tools and undertaking insight analysis to identify and design high impact NBA customer propositions Performing data extraction, storage, manipulation, processing and analysis and managing multiple deliveries concurrently Understanding and review the performance of NBA propositions and making recommendations and refinements to improve the customer contact solution Building and deploying NBA propositions into live customer facing channel environments through our decisioning capability The skills you'll need You’ll need to be educated to degree level in a numerate discipline or have equivalent, practical experience in an analysis related field. You’ll also need hands on experience with Pega, or an equivalent decisioning capability, and you’ll have an awareness of the Adobe Web Analytics toolset. You’ll also demonstrate: Good understanding of analytical or database querying software, data visualisation software, big data environments or using cloud environments for the analysis for customer propositions Experience of articulating and translating business questions using statistical or analytical techniques Good stakeholder management skills and an effective communicator, both verbal and written Experience of managing risks