AI & Data Science Director

New

Clarity AISustainability Tech AI

Madrid, Spain, CET +/- 2 hoursFull-TimeDirector

Salary not disclosed

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Job Details

Languages: English

Requirements

Strong ML Foundation: Deep grounding in classical machine learning, experimentation, modeling, and scientific reasoning.
Practical GenAI Experience: Hands-on familiarity with LLMs, agentic patterns, evaluation approaches, and the rapidly evolving GenAI tooling ecosystem.
Senior Leadership Experience: Proven experience leading senior technical teams, shaping organizations, and operating as a trusted partner to executive leadership.
System-Building Mindset: Ability to create the ecosystem, processes, and technical direction that enable more junior team members to execute effectively.
Product & Business Judgment: Strong ability to connect technical decisions with business priorities, product constraints, and execution realities.
People Skills: Ability to build trust, challenge constructively, and lead both upwards and downwards in a demanding environment.
High Adaptability: Comfort operating in fast-changing, ambiguous environments with high expectations and evolving priorities.
Excellent Communication: Strong written and verbal English, with the ability to communicate clearly with technical and non-technical stakeholders.

Responsibilities

Define and evolve the company’s AI strategy across traditional machine learning, experimentation, evaluation, and generative AI applications.
Act as the senior technical anchor for the function, ensuring the team applies strong scientific thinking, robust experimentation practices, and sound engineering judgment.
Identify where LLMs, agents, and related tooling can materially improve products, workflows, and team leverage, while avoiding hype-driven decisions.
Create the environment, tooling patterns, and ways of working that allow teams with mixed seniority to build and operate AI solutions effectively.
Coach and develop emerging leaders and strong individual contributors, while helping define the right long-term organizational structure.
Bridge product, engineering, platform, and executive stakeholders to ensure AI initiatives are actionable, aligned, and well-prioritized.
Provide the seniority and leadership depth needed during a period of team transition and leadership change.
Help calibrate and attract senior profiles who combine machine learning depth, strong judgment, and practical exposure to modern GenAI systems.

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