As a Rewards Data Intelligence (RDI) Lead Consultant, you will play a significant role in driving the growth and profitability of the RDI practice as a team member for key client groups, support medium- to large-size projects, and be involved in marketing and selling Willis Towers Watson Rewards data & software products and services. This includes standard and bespoke surveys as well as selling and delivering compensation-based project work such as salary structure development, compensation and benefits reviews and conducting pay assessments.
As a key resource for selected industries and/or manager of selected client accounts, you will also support the collection of compensation and benefits data by exercising influence through your client relationships, and provide expert inputs on data validation, analysis and reporting through in-depth understanding of the industries/clients under your care
.You will be involved in the provision of compensation and benefits data consulting support to clients across various industries
.
Performance Objectives
: Excellen
- ceDisplays a firm understanding and knowledge of organization-wide survey methodologies and process
- esDevelops and maintains strong understanding of available WTW products and servic
- esLead research on client problems and unmet data needs to identify, develop and evaluate new product ideas or enhancements to existing products, translate research discoveries into usable and marketable solution
- s.Identify and develop products and solutions that can help grow and transform the data business by designing and building models / algorithms to drive predictive & prescriptive analytics across the customer journey and product portfoli
- o.Mine and analyze data to drive optimization and improvement of product development, marketing techniques, and business strategie
- s.Develop processes and tools to monitor and analyze model performance and data accurac
- y.Continuously develop technical and consulting skills (e.g., selling and project management skill
- s)Support medium- and/or project-manage several small-sized projects paying strict adherence to strong project management standards, quality project deliverable outcomes, and meeting client requirements in a timely mann
erPeople & Clien
- tsServe as a key team member for selected industries by establishing and maintaining close relationships with survey clien
- tsLead analysis on trends and insights preparation for client meetings/event
- s.Drive client group presentations or one-to-one meeting
- s.Build strong relationships externally and internally and collaborate effectively on cross-functional tea
- msDemonstrate natural ease and effectiveness when dealing with clients/colleagu
- esDrive the revenue growth of allocated industry sectors or surve
- ysDrive business development and account management activities to meet revenue targe
- tsLead the development and execution of industry research and business development plans by identifying key target industries, groups, associations, et
- c.Lead proposal development and presentation activiti
es
Qualificati
- ons
Bachelor's Degree in Accountancy, Business Administration, Mathematics, Economics, or a related discipline involving significant quantitative course - work4 - 7 years of relevant Compensation-related experi
- ence2 years of experience in solving complex business problems using data science, statistical techniques & machine learning to build predictive & prescriptive solutions across the product portfolios and customer journ
- eys.Demonstrated success in working with dynamic and autonomous teams in a global organization, including experience working in an agile environment with iterative feedb
- ack.Able to identify and solve challenges, think outside the box, facilitate discussions, drive consensus on project teams and execute id
- eas.Comfortable with loosely defined requirements where you exercise your analytical skills to collaborate with the rest of the team to build solut
- ionsExcellent problem-solving skills with ability to synthesize & communicate complex matters to senior lead
- ers.Attention to detail with focus on data quality, data consistency, and critical
- ity.Ability to shape ambiguity, govern & prioritize in a matrixed environment across organizational boundar
- ies.Experienced in providing insights to support tactical decisions, including preparing and delivering insights and recommendations, and visualizing, presenting and effectively communicating d
- ata.Maintain confidentiality regarding client data and other information interfaced with during the course of employm
ent.
Equal Opportunity Emp
loyer
