About the Role
We're looking for a senior data leader who sits at the intersection of business and technology — someone who can translate raw information into commercial value and rally an organization around it. This is a strategic, high-visibility role: you'll set the direction for how data drives decisions, shape the function that delivers it, and act as the bridge between technical teams and the wider business.
You'll own the "why" behind our data strategy while trusting capable people to handle the "how."
What You'll Do
* Define and lead the overall data strategy, aligning it tightly with company goals and measurable business outcomes.
* Identify and pursue opportunities where data creates tangible value — reducing costs, growing revenue, enabling new product lines, and improving the quality of decision-making.
* Build, mentor, and grow a high-performing data team across analytics, business intelligence, and data science.
* Partner with leaders across the organization, translating complex data concepts into clear, persuasive narratives for non-technical audiences.
* Champion a culture where KPIs are genuinely actionable and insight reliably turns into action.
* Guide the evolution of the modern data stack and cloud infrastructure, delegating technical execution while keeping the focus on strategic impact.
* Ensure data is woven thoughtfully into the product experience and supported across its full lifecycle.
What We're Looking For
Strategic Mindset: A career spanning eight or more years across data-focused functions, including at least three years in a leadership capacity where you delivered measurable gains on core business outcomes.
Commercially Minded: A demonstrated knack for spotting and delivering opportunities where data generates real business value — whether that means trimming costs, growing revenue, opening up new product lines, or sharpening how decisions get made.
Persuasive Communicator: An exceptional talent for building stakeholder relationships, operating smoothly within complex organizations, and articulating the worth of data in language that lands with non-technical audiences.
Deep Analytical Grounding: A solid command of analytics, business intelligence, and data science methods, paired with a clear sense of what turns a KPI into something teams can genuinely act on.
Fluent in Tech, Not Buried in It: A confident grasp of contemporary data stacks (dbt, Snowflake, BigQuery) and cloud platforms such as Azure, AWS, and GCP — while being comfortable handing off the "how" to others so you can stay focused on the "why."
Product-Oriented Thinking: Real exposure to digital product environments, with an understanding of how data weaves into the user's journey and supports a product across its entire lifecycle.
Education: A degree in a quantitative or analytical field — mathematics, statistics, computer science, economics, or something comparable. A graduate business qualification such as an MBA or a similar certification is a strong advantage.
Languages: A high level of fluency in both English and Spanish.