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Lead Decisioning Scientist - PEGA Marketing, Decisioning

Harvey Nash
Posted 4 days ago, valid for 5 days
Location

London, Greater London EC1R 0WX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The Lead Decisioning Scientist position at a leading bank is a fully remote role based in the UK, inside IR35, with a competitive salary.
  • Candidates are expected to have experience in Pega Decisioning and Pega Marketing, along with a degree in a numerate discipline or equivalent practical experience in analysis.
  • The role involves overseeing the development of a multi-channel customer contact strategy, ensuring personalized engagement and improved customer experiences.
  • Successful applicants will demonstrate strong stakeholder management skills, experience in coaching colleagues, and the ability to influence change through innovative ideas.
  • The position requires a minimum of 5 years of relevant experience in decisioning and analytics.

Lead Decisioning Scientist - PEGA Marketing, Decisioning sought by leading bank based remote.

**Inside IR35 - Fully remote (UK Only)**

The role:

  • You'll oversee the design, development and delivery of a highly effective multi[1]channel customer contact communication strategy, through the intelligent and safe use of data
  • Your work will make sure that we proactively meet our customer needs and provide a seamless, personalised engagement across all journeys
  • This is an opportunity to gain exposure as you build strong relationships with a range of stakeholders and work in a collaborative and supportive environment

More detail:

  • Developing a decisioning strategy and plan, aligned to stakeholder objectives, to drive business performance and make improvements to the overall customer experience
  • Working collaboratively with stakeholders to understand strategies and deliver an overall decisioning capability that supports this, while continuously improving and optimising their effectiveness utilising an Agile methodology
  • Advocating our decisioning capability, for the development and delivery of great customer experiences, and supporting future use cases for capabilities
  • Understanding and using complex data sources, turning these into meaningful and actionable information, enabling next best action proposition development and quantifying the business impact
  • Coaching and developing less experienced colleagues and delivering through others as necessary with a range of analytical tools

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 Decisioning and Pega Marketing, or an equivalent decisioning capability, and you'll have an understanding of the Adobe Web Analytics toolset.

You'll also demonstrate:

  • Good understanding of analytical or database querying software, data visualisation software, big data environments and cloud environments
  • A track record of influencing change through the use of innovative ideas and effective stakeholder management across a business
  • Experience of coaching and developing less experienced colleagues
  • Experience of delivering through others
  • Experience of managing risks

Please apply within for further details or call on

Alex Reeder

Harvey Nash Finance & Banking

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.