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The responsibilities of the role are outlined below, and we believe that a successful candidate will likely have 15 years experience in running large and diverse operational teams with multiple and global stakeholder touchpoints and having a demonstrable experience in developing teams within Operations with a keen eye on maintaining and enriching the Risk and Control Environment and instilling Operational Discipline within teams.Job Responsibilities
• Engage with relevant stakeholders across Product, Operations, Technology and Service both local and global representing the function
• Review, Assess and Implement an optimum control environment within the processes and ensuring the control effectiveness is maintained at all times
• Create, in partnership with Technology and Product, a Book of Work to enhance and sharpen processes with a view to creating capacity within the teams including the use of AI/ML within processes
• Ensure appropriate proactive data quality for key data metrics that drive Operational OKRs and KPIs
• Own end-to-end Data Operations and Benefit Operations processes, including , quality assurance and designing and implementing the Target Operating Model
• Create a Leadership pipeline and develop key skills and attributes of employees as future leaders of the function
Required qualifications, capabilities, and skills
• Bachelor’s Degree or greater in related business, technical, or quantitative field with 15 years of relevant operational experience
• Extensive experience in Operations and leading large and diverse teams , preferably within a large Multinational Organisation
• Strong knowledge and expertise in implementing Operating Models, Optimisation programs
• Deep experience in managing complex data sets and delivering high quality data outputs
• Excellent communications skills and ability to visualize and articulate key messages using data
• Demonstrated track record of managing and leading teams to deliver enterprise scale projects
• Ability to deliver high quality results under tight deadlines
• Familiarity with data governance frameworks
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