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    "jobDescription": "<p><b>Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?</b></p><p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><p><span>The <b>key purpose</b> of the Digital Insights Product Specialist supports the Product Owner in the delivery, optimisation, and adoption of data-driven products that enable commercial growth through personalised customer interactions, automation, and advanced analytics. The role is responsible for translating business requirements into detailed product specifications, coordinating delivery activities across Data Science and Data Engineering teams and validating product outputs. The Product Specialist plays a critical role in ensuring that analytical products, machine learning solutions, and commercial intelligence capabilities are aligned to business needs and deliver measurable value across BEES and other commercial platforms. The Product Specialist also would also need to execute pipelines and scripts to load and deploy various touchpoints. </span></p><p></p><p><b>Key Roles and Responsibilities:</b></p><p><b>Product Strategy &amp; Vision</b></p><ul><li><span>Support the Product Owner in delivering the squad roadmap and strategic priorities.</span></li><li><span>Ensure product requirements are clearly understood by Data Scientists, Data Engineers, and stakeholders.</span></li></ul><p><b>Product Ownership &amp; Delivery</b></p><ul><li><span>Engage stakeholders to understand business challenges, opportunities, and operational requirements.</span></li><li><span>Translate commercial objectives into analytical and technical requirements. </span></li><li><span>Identify opportunities for process automation, optimisation, and personalisation.</span></li></ul><p><b>Stakeholder Management</b></p><ul><li><span>Serve as an operational point of contact between business stakeholders and the technical squad.</span></li><li><span>Coordinate communications related to product enhancements and releases. </span></li><li><span>Build strong relationships with commercial, technology, and analytics stakeholders. </span></li><li><span>Support business users during product implementation and adoption.</span></li></ul><p></p><p><b>Key Attributes and Competencies: </b></p><div><ul><li><span>Knowledge of backlog management and prioritisation.</span></li><li><span>Demonstrated ability to own and manage documentation. </span></li><li><span>Understands both business processes and analytical solutions. </span></li><li><span>Can translate commercial challenges into structured product requirements. </span></li><li><span>Has a strong data and analytics foundation. </span></li><li><span>Thrives in cross-functional Agile environments. </span></li><li><span>Is highly organized and detail oriented. </span></li><li><span>Demonstrates strong stakeholder management capabilities. </span></li><li><span>Focuses on delivering measurable business value. </span></li><li><span>Is passionate about leveraging data, AI, and automation to improve customer experiences and commercial outcomes.</span></li></ul><p></p></div><p><b>Minimum Requirements:</b></p><div><ul><li>Bachelor&#39;s degrees, 3-year qualification or similar Technical qualification</li><li>5 years – technical and commercial experience.</li><li>Strong mathematical background, preferably acquired through education that covers deeper levels of differential and integral calculus, linear algebra, combinatorial analysis, probability, and statistics.</li><li>Proficiency in at least the basic programming languages used in the day-to-day operations of the data science and engineering team: SQL, Python, and PySpark.</li></ul><p></p><p><b>Additional Information:</b></p><ul><li><b>Band: VII</b></li></ul><p>ABInBev is an equal opportunity employer, and all appointments will be made in line with ABInBev employment equity plan and talent requirements. The advert has minimum requirements listed. Management reserves the right to use additional/ relevant information as criteria for short listing.</p></div>",
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