Director- Market Research

Company Description

WNS (Holdings) Limited (NYSE : WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.

Job Description

Overview : Responsible for leading operations, recognizing areas for improvement within our existing / expanding business and managing the client stakeholders, for one of the global top 5 executive search firms. Must be able to identify and implement necessary changes to enable business to perform to its optimum ability. Performing a challenging and diverse role, responsible for overseeing all areas of a business, implementing any operational changes and delivering measurable improvements. Must review new and existing processes, resources and systems, making and overseeing any changes. Key - Should have a strong Ops planning & management experience with 'excellent' understanding of Research and Data Insight. Being proactive, analytical, solution oriented, creating frame-works and someone who has worked on large data sets, quantitative data analysis and insights. RESPONSIBILITIESOperational excellence on all SLA parameters and VoC and VoERecognizing areas for improvement within our existing / expanding business Act as point of contact between different departments within the business, client, and WNSCommunicate strategies and objectives with relevant departments and colleaguesIdentify any risks regarding changes and develop a strategy to overcome or address theseImplement any changes sensitively and with minimal disruptionAI Tools and platforms knowledge is criticalIdentify new opportunities for automation and GenAI enablementIn-depth experience of delivering high end, insight-oriented Research ProjectsHave worked on large data sets and have done quantitative Research projects to analyze the data and generate insights.Create a system to evaluate the success of any adjustments made within the organization and present any findingsManage HR issues including recruitment, staff training and appraisalWhere necessary, oversee any IT issuesEnsure the operations run in a compliant mannerSKILLSAcademic, professional or vocational qualifications in operations management and / or leadership are highly advantageousSound working knowledge of general business processes and organizational framework, such as goals, strategy, culture and structureAbility to demonstrate a high level of verbal and written EnglishProficient at producing and presenting reportsExcellent interpersonal skills and ability to communicate effectively with staff, at all levels, and third partiesProactive and able to use initiativeConfident with strong decision-making skillsAbility to develop strong relationships within the company and with third partiesStrong negotiation skillsAbility to demonstrate innovation and creativityAttention to detailGood leadership skills and ability to work well within a teamAbility to influence key decision makersAbility to set and meet objectivesStrong analytical and problem-solving skillsExcellent organizational skillsFlexible approach to workGood time management skills and ability to multitaskGood judgmentIT literate

Qualifications

MBA / Post Grad

Skills Required

Insight-oriented Research Projects, AI Tools and platforms, Organizational framework, General business processes, Research and Data Insight, Quantitative data analysis