Human Resources, Data Management Operations, Executive Director

Job Description

As an Executive Director within the broader Employee Experience (EX) team, you will have the opportunity to lead large and diverse operational teams. You will engage with stakeholders globally, fostering team development within Operations. Your focus will be on maintaining and enriching the Risk and Control Environment, and instilling Operational Discipline within teams. This role offers a chance to make a strategic impact in our Risk and Control Environment. 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 Strong knowledge and expertise in implementing Operating Models, Optimization 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