How Teksands Enabled a $18 Billion Beverage Giant to Enhance Product Strategy, Data Leadership, and Market Insights Through Strategic Recruitment
For an $18 billion global beverage giant, Teksands played a pivotal role in securing critical leadership positions to drive product strategy, innovation, and data-driven decision-making. The client’s India-based Global Capability Center (GCC) was at the heart of this transformation, where Teksands helped establish a leadership and analytics team that significantly enhanced market insights and operational efficiency.
Teksands successfully placed key leadership roles, including:
In the highly competitive beverage sector, product innovation is key to maintaining market leadership. The Head of Product role is essential for steering product strategy, identifying consumer trends, and spearheading new product development to meet evolving market demands.
Teksands Value Addition: By securing two experienced Heads of Product, Teksands enabled the client to take a proactive approach to product innovation.
In fast-moving industries like beverages, leadership roles focused on product strategy and innovation are vital for continued growth.
Teksands also recruited a Head of Data Science to lead data-driven decision-making at the client’s India-based GCC.
In the beverage industry, data science has become a critical tool for enhancing decision-making.
Teksands Value Addition: Teksands’ placement of the Head of Data Science enabled the client to accelerate their data-driven transformation.
Data-driven decision-making is increasingly important for companies in the consumer goods sector.
Teksands further supported the client by establishing a robust Analytics team in their India GCC.
Analytics teams are the backbone of any organization’s data initiatives.
Teksands Value Addition: Teksands’ recruitment of senior analytics professionals equipped the client’s GCC with the talent needed to deliver advanced market insights.
For global companies, building a strong analytics team is key to unlocking the full potential of data.