Data Manager

Accountabilities:: Lead the end-to-end lifecycle of data products, from ideation and requirements definition through development, deployment, validation, and optimization. Analyze behavioral and business data to generate insights that support digital product growth, marketing strategies, and business decisions through effective data visualization. Lead cross-functional teams including data scientists, engineers, and analytics specialists, fostering collaboration and delivering high-quality data products. Attract, retain, mentor, and develop data professionals while promoting continuous learning, engagement, and high performance. Collaborate with technical and business stakeholders to understand data needs, communicate the value of initiatives, prioritize competing demands, and define effective roadmaps. Profile and analyze datasets, identifying data types, relationships, patterns, and trends to improve understanding and inform business questions. Translate business processes and workflows into clear assumptions about data sources, entities, attributes, and requirements. Define how data should be structured and presented for consumption, working with internal and external stakeholders to establish clear and achievable requirements. Validate data products with users and use feedback, metrics, and KPIs to measure performance, effectiveness, and business impact. Contribute to data governance and understand the architecture and infrastructure supporting storage, integrations, analytics platforms, and e-commerce data environments. Support the adoption of AI within team workflows to improve productivity, performance, and delivery. Requirements: C1-level English or above, with strong communication skills for working with international stakeholders and clients. Proven experience working with international clients and distributed or cross-functional teams. Experience with at least one major cloud platform, such as Azure, AWS, or GCP. Hands-on or strong working knowledge of modern data platforms such as Databricks or Snowflake. Strong strategic thinking combined with a product mindset and the ability to connect data initiatives with measurable business value. Experience applying value-based prioritization to balance stakeholder needs, business impact, and technical considerations. Proven team leadership experience with a hands-on approach and the ability to mentor and develop data professionals. Experience in data platforms, data visualization, or advanced analytics is a plus. Experience with on-premises environments and data cloud migrations is desirable. Familiarity with project management tools is a plus. Experience with AI/ML is desirable. Spanish language skills, including reading, writing, and speaking, are a plus. Benefits: Health and dental insurance. Meal and food allowance. Childcare assistance. Extended paternity leave. Partnerships with gyms and health and wellness professionals through Wellhub (Gympass) and TotalPass. Profit Sharing and Results Participation (PLR). Life insurance. Continuous learning opportunities through an internal learning platform. Discount club. Free online resources focused on physical, mental, and overall well-being. Pregnancy and responsible parenting course. Partnerships with online learning platforms. Language learning platform. Additional employee support and well-being initiatives. Inclusion specialists, a dedicated Health and Well-being team, and affinity groups to support employees throughout their journey.