<p></p> <p><strong><span data-contrast="auto">About BEES</span></strong><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> </span></p> <p><span data-contrast="auto">Join us to build the future of B2B commerce!</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> <br></span><span data-contrast="auto">BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely.</span> <br><span data-contrast="auto">At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow.</span><span data-ccp-props="{"201341983":0,"335559739":0,"335559740":240}"> <br></span><span data-contrast="auto">Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference!</span></p> <p></p> <p><strong>About the Role:</strong></p> <p>This person will connect business strategy, data engineering, data science, and analytics to develop scalable solutions that improve customer service through frontline telesales and logistics agents.</p> <p>The scope includes initiatives such as using intelligence to determine which customers agents should contact and which tasks they should prioritize; monitoring call execution and agent productivity KPIs; recommending order values and delivery dates; and monitoring orders with flexible delivery dates and the amounts charged for delivery.</p> <p>The successful candidate combines strong analytical and technical skills with product leadership, agile execution, stakeholder management, and the ability to lead large multidisciplinary teams.</p> <p><strong>What you'll do:</strong></p> <ul> <li>Lead the global data product strategy for BEES GROW and Logistics.</li> <li>Manage a multidisciplinary team of Data Engineers, Data Scientists, and Data Analysts.</li> <li>Define and prioritize the squad roadmap and backlog, and lead discovery and delivery routines using agile methodologies.</li> <li>Develop and evolve data products such as prioritization algorithms, visit models, global databases of point-of-sale attributes, and KPIs for monitoring agents and delivery dates.</li> <li>Ensure the quality, scalability, documentation, monitoring, and governance of data pipelines.</li> <li>Translate business needs into actionable data products for countries, partners, and global teams.</li> <li>Define, monitor, and communicate success KPIs related to the area’s performance, model accuracy, agent productivity, execution of model recommendations, and commercial efficiency.</li> <li>Work closely with senior leadership, business and technology teams, commercial operations, country teams, and external partners.</li> <li>Identify opportunities to improve service models, taking into account local market dynamics, customer segments, costs, and business value creation</li> </ul> <p><strong>What you'll need:</strong></p> <ul> <li>Relevant experience in data product management, analytics, data science, or data engineering.</li> <li>Practical knowledge of data pipelines, data modeling, data quality, SQL, and PySpark.</li> <li>Experience leading multidisciplinary teams and working in agile squads.</li> <li>Ability to translate complex business problems into technical and analytical solutions.</li> <li>Strong communication skills with technical and non-technical audiences.</li> <li>Experience managing senior stakeholders, commercial teams, country teams, external partners, or global business units.</li> <li>Knowledge of telesales operations, Route to Market, and commercial productivity is desirable.</li> <li>Fluent English is required; Spanish is desirable.</li> <li><strong>Location:</strong> <strong>São Paulo Hybrid (3x)</strong></li> </ul> <p><strong>What We Offer:</strong></p> <ul> <li>Performance based bonus*</li> <li>Attendance Bonus* </li> <li>Private pension plan</li> <li>Meal Allowance</li> <li>Casual office and dress code</li> <li>Days off*</li> <li>Health, dental, and life insurance</li> <li>Medicines discounts</li> <li>WellHub partnership</li> <li>Childcare subsidies</li> <li>Discounts on Ambev products*</li> <li>Clube Ben partnership</li> <li>Scholarship*</li> <li>School materials assurance</li> <li>Language and training platforms</li> <li>Transport allowance</li> </ul> <p>*Rules applied</p>