Job Summary: Lead the company’s data strategy, ensuring reliable, intelligent, and actionable information supports decision-making at all business levels. Key Highlights: 1. Lead the corporate Data and Business Intelligence strategy. 2. Serve as the executive data reference. 3. Promote high analytical performance and maturity. **Work Location:** Hybrid model, preferably in São Paulo, but also available at other sites: Curitiba, Rio de Janeiro, Campo Grande, Goiânia, Salvador, and Aracaju. You will be responsible for leading the company’s data strategy, ensuring reliable, intelligent, and actionable information supports decision-making at all business levels. This role is pivotal in transforming data into value by connecting areas, people, and technology. We are Tahto, a company with a new business mindset that leverages technology not only to build customer service solutions but also to keep human beings at the center of everything we do. We have over 8,000 employees spread across five Brazilian states—people from all diversities, cultures, ethnicities, and genders, valued for their unique stories. To further strengthen this successful team, we seek talents who help us become a leading company in transforming people’s lives through technological solutions and innovations—always with great tact, empathy, and quality. If this is your profile and you thrive on challenges and new achievements, join our team! Tahto values its employees’ potential and therefore offers an internal opportunities program focused on professional growth and development. You could be one of them! We count on your human warmth and imaginative attitude to co-write a new story together. Tahto is technology, human warmth, creativity. Tahto is us! \#soutahto **Responsibilities and Duties** * Define, lead, and sustain the corporate Data and Business Intelligence strategy, ensuring direct alignment with the company’s strategic objectives. * Serve as the executive data reference, supporting senior leadership in decision-making through strategic analyses, KPIs, and high-impact insights. * Lead and develop senior, multidisciplinary teams (BI, Analytics, Data Engineering), promoting high performance, systemic thinking, and analytical maturity. * Establish and ensure robust data governance, including data quality, metric standardization, information security, and corporate data reliability. * Define and evolve data architecture, pipelines, analytical models, and BI tools, ensuring scalability and efficiency. * Lead end-to-end strategic data and analytics projects, focusing on value creation, operational efficiency, and competitive advantage. * Drive a data-driven culture, influencing leaders and managers to use data as the central basis for decisions. * Support and guide advanced analytics initiatives, automation, artificial intelligence, and predictive modeling, where applicable. * Perform other duties related to the role. **Requirements and Qualifications** * Completed undergraduate degree; * In-depth knowledge of data modeling, strategic indicators, corporate KPIs, and business metrics. * Solid hands-on experience with BI tools, databases, analytical environments, and modern data architectures. * Practical experience in data governance, information quality, and metric standardization. * Strategic operational capability, business acumen, analytical thinking, and excellent communication skills with executives. * Experience managing complex projects with multiple stakeholders and high organizational impact. **Behavioral Skills:** * Results-oriented; * Customer-focused; * Negotiation; * Planning; * Decision-making; * Strategic vision. **Desirable Differentiators:** * Experience with advanced analytics, AI, machine learning, or decision automation. * Experience in digital transformation or implementation of corporate data platforms. * Experience in data-intensive environments, complex operations, or contexts requiring rapid scalability. **Desirable Knowledge:** * Data modeling (dimensional and relational) and design of analytical layers. * Definition, management, and standardization of KPIs, OKRs, and business metrics. * Development and interpretation of executive, tactical, and operational dashboards. * Data analysis to support strategic decision-making and generate actionable insights. * Modern data architectures (Data Warehouse, Data Lake, Lakehouse). * Creation and management of data pipelines (ETL/ELT). * Integration of multiple data sources (internal systems, APIs, external data). * Understanding of performance, scalability, and reliability of analytical environments. * BI and data visualization tools. * Relational and analytical databases (SQL and related technologies). * Cloud-based data and analytics environments. * Data versioning, automation, and monitoring tools. * Data governance, information quality, and data lineage. * Definition of data dictionaries, business rules, and indicator standardization. * Knowledge of information security, privacy, and regulatory best practices (e.g., LGPD). * Concepts of advanced analytics, applied statistics, and predictive modeling. * Understanding of artificial intelligence and machine learning applied to business. * Automation of analytics and support for data-driven decision-making. **Additional Information** Benefits: Childcare allowance per child up to 5 years old; Special Needs Child allowance — no age limit; Health and Dental Plan; Life Insurance; Transportation Allowance; Meal and/or Food Allowance; PPR — Profit Sharing Program; Wellhub (Well-being Platform); Partnerships with various companies (educational institutions, language schools, etc.). Benefit eligibility is subject to a set of requirements communicated at the time of hiring. **WANT TO MAKE A DIFFERENCE? JOIN US!** **CHECK OUT OUR OPEN STAFF, ADMINISTRATIVE AND EXECUTIVE POSITIONS AND APPLY!**