Head of Data (Tesonet Global, UAB)

Job description:
You are a strong data leader with a background in data science or data engineering, and you know how to lead both people and systems with confidence. You understand what good data foundations look like, how to build credibility with demanding stakeholders, and how to turn data into a real business advantage.
You’re comfortable leading a multidisciplinary team of engineers, scientists, and analysts, setting direction without unnecessary process, and creating the conditions for high-quality work in a fast-moving environment. You combine technical depth with strong business judgment, and you’re excited by the opportunity to improve how data supports decision-making, performance, and automation across the company.
Lead and develop a team of 11 data professionals across engineering, science, and analytics, with a mix of direct and indirect leadership
Set the direction for how data is managed across the company, ensuring it is reliable, scalable, and useful for decision-making
Own the data roadmap across infrastructure, analytics, and data science, aligning priorities with business needs and growth goals
Partner closely with marketing and other data-heavy stakeholders to ensure the team is solving the right problems and delivering real impact
Strengthen the company’s data foundations so teams can make faster, better, and more confident data-driven decisions
Guide technical decisions around data architecture, tooling, workflows, and platform development without needing to be the main hands-on builder
Drive a high standard across data quality, delivery, and team execution, while keeping the team practical and focused
Act as a key partner to senior leadership, translating business goals into a clear and commercially relevant data strategy
Lead cross-functional data related AI initiatives with a company-wide mindset, ensuring strong solutions are communicated well, adopted by the right teams, and translated into real business usage
Identify and push forward opportunities where AI and automation can improve internal workflows, efficiency, and decision-making across the business
Requirements:
Strong leadership experience managing data teams that include a mix of engineers, scientists, and analysts
Background in data engineering or data science, with enough technical depth to guide architecture and delivery decisions credibly
Experience working with large-scale data environments and supporting business-critical, data-driven decision-making
Strong understanding of analytics, data platforms, and modern data tooling such as Snowflake, dbt, Airflow, Python, or AWS
Ability to work cross-functionally and drive adoption of data or AI solutions beyond the boundaries of the data team
Experience building trust with demanding stakeholders and translating business needs into clear data priorities
Ability to balance strategic thinking with execution, and structure with speed
Good judgment on where process helps and where it only slows things down
Strong…