Lead Associate

Lead Associate - Rewards Data Intelligence (RDI) role at WTW

As a Rewards Data Intelligence (RDI) Lead Consultant, you will play a moderate 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. You will be involved in providing compensation and benefits data consulting support to clients across various industries, exercising influence through client relationships and delivering data validation, analysis and reporting insights.

• Lead research on client problems and unmet data needs to identify, develop and evaluate new product ideas or enhancements to existing products, translating research into usable and marketable solutions.
• 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 portfolio.
• Identify opportunities for leveraging advanced analytics in transforming the business, products and solutions for clients.
• Mine and analyze data to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Continuously develop technical and consulting skills (e.g., selling and project management skills).
• Support medium- and/or project-manage several small-sized projects paying strict adherence to strong project management standards and delivering quality outcomes that meet client requirements in a timely manner.

• Serve as a key team member for selected industries by establishing and maintaining close relationships with survey clients.
• Lead analysis on trends and insights preparation for client meetings/events.
• Drive small client group presentations or one-to-one meetings and support large client group presentations.
• Build strong internal and external relationships and collaborate effectively on cross-functional teams.
• Demonstrate natural ease and effectiveness when dealing with clients and colleagues.
• Drive revenue growth of allocated industry sectors and/or surveys.
• Drive business development and account management activities to meet revenue targets.
• Lead the development and execution of industry research and business development plans by identifying key target industries, groups and associations.
• Lead proposal development and presentation activities; support and guide less experienced team members.

• Bachelor’s Degree in Accountancy, Business Administration, Mathematics, Economics, or a related discipline involving significant quantitative coursework.
• 3 - 8 years of relevant Compensation-related experience.
• 2 years of experience in solving complex business problems using data science, statistical techniques & machine learning to build predictive & prescriptive solutions across product portfolios and customer journeys.
• Demonstrated success in working with dynamic and autonomous teams in a global organization, including experience in an agile environment with iterative feedback.
• Able to identify and solve challenges, think creatively, facilitate discussions, and execute ideas with project teams to achieve consensus.
• Comfortable with loosely defined requirements, collaborating to build solutions.
• Excellent problem-solving skills with ability to synthesize and communicate moderately complex matters to senior leaders.
• Attention to data quality, data consistency, and criticality.
• Ability to shape ambiguity and prioritize in a matrixed environment across organizational boundaries.
• Experience in providing insights to support higher-level strategic decisions, including preparing and delivering insights and recommendations, and visualizing and effectively communicating data.
• Maintain confidentiality regarding client data and other information encountered during employment.

WTW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.