Hybrid Manager, Control Design and Optimisation

Posted last month

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About the role

  • Lead and support control optimisation initiatives across end-to-end processes, utilising AI/ Co-Pilot\nConduct process mapping to identify improvement opportunities and control gaps\nUse tools like PowerBI to generate actionable insights from control data sets\nCollaborate with stakeholders to understand and support Group-wide change delivery\nAlign control activities with the Group’s resetting risk strategy\nDesign and implement process automation solutions to improve efficiency and reduce manual effort\nApply control design and optimisation tooling to strengthen the control lifecycle\nWork with platforms such as ARIS, Jira, and other control lifecycle tools to lead and track control activities\nCommunicate findings and recommendations effectively through storytelling and visualisation\nBuild strong relationships with stakeholders across the organisation to drive engagement and adoption

Requirements

  • Valided experience in control optimisation and process improvement\nStrong understanding of data analytics and visualisation tools (e.g. PowerBI) and AI tooling\nFamiliarity with Group change delivery frameworks and governance\nKnowledge of risk strategy and its application in operational environments\nHands-on experience with process automation technologies\nProficiency in ARIS, Jira, and other control lifecycle platforms\nExcellent communication, stakeholder management, and storytelling skills

Benefits

  • A generous pension contribution of up to 15%\nAn annual bonus award, subject to Group performance\nShare schemes including free shares\nBenefits you can adapt to your lifestyle, such as discounted shopping\n30 day’s holidays, with bank holidays on top\nA range of well-being initiatives, and generous parental leave policies

Job title

Manager, Control Design and Optimisation

Job type

Experience level

Lead

Salary

£65,385 - £72,650 per year

Degree requirement

No Education Requirement

Location requirements

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