Apac Head of Data

About The HEINEKEN Company HEINEKEN is the world's most international brewer. It is the leading developer and marketer of premium beer and cider brands. Led by the Heineken® brand, the Group has a portfolio of more than 300 international, regional, local and speciality beers and ciders. We are committed to innovation, long-term brand investment, disciplined sales execution and focused cost management. Through "Brewing a Better World", sustainability is embedded in the business. HEINEKEN has a well-balanced geographic footprint with leadership positions in most of our 190 markets. Our more than 80,000 colleagues stand by our purpose to Brew the Joy of True Togetherness to inspire a better world. We ignite moments that bring people together, create bonds and are unforgettableone day, one beer, one cheers at a time. Heineken N.V. and Heineken Holding N.V. shares trade on the Euronext in Amsterdam. **What we do at** Digital & Technology (D&T) Our ambition is to be the best-connected brewer. To achieve this, we put our customers and consumers at the heart of our Digital & Tech Strategy, ensuring that we stay ahead of the technology developments. We build collaborative relationships throughout the organisation and region to provide depth and relevance to our work, enabling our Operating Companies to be successful. **Your role as the APAC Head of Data & Analytics** As the APAC Head of Data & Analytics, you will work closely with functional leaders and global and regional stakeholders to define and lead the roadmap for critical data and analytics capabilities. You will influence and build an understanding of how we can best leverage data and analytics across key HEINEKEN functions. Your main objective will be to lead Data Driven Transformation (DDT) in the APAC region by: - Driving critical business insights and value creation through data - Providing a seamless and connected experience - Deploying new solutions at scale with speed **Key responsibilities include** - **Shaping and implementing our regional strategy** - Develop a DDT strategy in alignment with the Global team - Recommend new advanced solutions for data management based on deep knowledge of business needs, industry trends, and best practices to bring value to the business - Define, own and deploy data and analytics roadmap - Drive governance and standardisation of technologies, platforms and solutions deployed - **Global alignment, APAC support & Leadership of our Data & Analytics Hub** - Work with global stakeholders and deliver on essential product roadmaps and feature sets - Manage or participate in cross-functional teams to promote technology strategies, perform proofs-of-concept, and pilot new technologies - Communicate, market, and evangelise how data can be applied to enable the company strategy in various APAC markets - Lead and further scale-up our Data & Analytics Hub - **Vendor management and solutions** - Own the analytics solutions and support various business functions, including sales, finance, marketing, supply chain and shared services - Engage with data scientists and analytics professionals across the organisation to leverage the power of data and analytics for growth Work with vendors to design, develop and deliver data management tools, BI platforms and analytics solutions whilst effectively balancing resources **Who we look for** Preferred Qualifications and Experience - Master's Degree in business, management, analytics, engineering/ information technology-related disciplines required. - English proficiency is required. - 12 years of leadership experience with a focus on data, analytics, data science, or related field - Strong business knowledge and understanding of the FMCG industry General/Functional skills required to excel: - A digital and innovative mindset and an agile way of working - Able to explain complex technical processes to business stakeholders - Able to build and maintain strong collaborative relationships with leaders across the business - Strong analytical and problem-solving skills with an ability to define practical yet scalable approaches to analytics needs supported by statistical methods - quantitative or qualitative analysis - Experience in leading data & analytics teams and adding value to a large organisation/MNC through data insights - Expertise in data management, data & analytics platforms and tools, (advanced) analytics and BI