2 WNS Associate Director Jobs

This role leverages your extensive experience in Data Analytics and AI within a consulting framework to support growth of WNS analytics. It is ideal for a professional who excels in combining top-tier analytics skills with robust problem-solving and communication abilities to craft innovative solutions for customer, commercial, sales and marketing domains.

These solutions typically integrate data, technology, and analytics to address strategic, tactical, and operational business challenges. This role demands creativity, drive, and a visionary approach.

Key Responsibilities:

Strategic Client Partnership and Solution Development: Collaborate with sales teams to forge and strengthen relationships with existing and potential clients in the data and analytics domain. Serve as the liaison between clients, sales, and analytics operations teams. Consult and upsell analytics services to existing clients, advancing them to more sophisticated offerings within the analytics value chain. Engage deeply with select clients to grow accounts and occasionally participate in discovery and delivery of Proof-of-Concept stages. Identify market opportunities, collaborate with business development teams to close sales, and contribute to the overall analytics strategy. Generate and communicate innovative ideas for new propositions, actively participating in go-to-market strategy development and lead generation tactics. Represent the company at trade shows, events, and industry associations. Expertise and Innovation: Act as the content knowledge expert in client interactions. Identify client requirements and design tailored analytics solutions and products. Collaborate with GTM proposition and Platform teams to influence the evolution of productized services with market insights. Business Travel: Engage in periodic domestic travel within India for collaboration and external meetings. Participate in international travel to the UK and US for client meetings as required.

Skills and Experience:

Technical Proficiency: Expertise in Predictive/Machine Learning Models, including Experiment Design, Causal Inference, Time Series, Marketing Mix Models, Bayesian Distributions, Regression, Decision Trees, Propensity models, SVMs. Strong numeracy, data literacy, and analytical skills.

Programming experience in SQL, R, Python; knowledge of advanced MS Excel Working knowledge of visualization tools (e.g. Tableau, Power BI). Understanding of data management systems and modern cloud data infrastructure Ability to assimilate complex data and deliver clear presentations.

Storytelling ability that combines Data Analytics and Business Logic. 10+ years of relevant experience. Client and Market Experience: Experience working with global clients and effective stakeholder management Extensive knowledge Applied Data Analytics, AI/ML techniques and BI Foundational understanding of Commercial Sales, Omnichannel Marketing programs and CRM analytics in sectors such as Manufacturing, Retail, Consumer and Tech, etc.

Preferred but not essential:

Masters Degree in Business. Communication and Collaboration: Effective and credible storyteller with the ability to map client challenges to internal capabilities and link conversations to business outcomes. Excellent written, verbal, and formal presentation skills for engaging diverse client audiences.

Thrive in a collaborative team environment, defining issues/hypotheses, performing complex analysis, and preparing solution recommendations. Ability to think on your feet and engage with both business and analytical communities. Comfortable with ambiguity in a cross-functional environment. Willingness to work in a geographically distributed team structure in a fast-paced and challenging environment.