AI and Data Manager

WomenTech Network; Madrid; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

A progressive technology firm in Madrid is looking for an Experienced AI and Data Manager. The candidate will lead client engagements and strategic proposals, driving AI and data transformation for organizations. This role demands strong consulting skills, proven sales experience, and a solid background in Data Science and AI. Fluency in Spanish and English is required, along with proficiency in Python and SQL.

Formación

• 7-9 years in Data Science / AI roles, with at least 3 years in consulting for Financial Services.
• Experience in AI for Finance and MLOps implementations is highly valuable.
• Must-have skills include Python, SQL, and Databricks.

Responsabilidades

• Lead proposals from ideation to submission, including scoping and pricing.
• Act as a trusted advisor to senior client stakeholders.
• Drive business development and revenue growth opportunities.

Conocimientos

Data Science

AI

Consulting

Stakeholder Management

Bilingual: Spanish and English

Python

SQL

Azure ML

PySpark

Herramientas

Databricks

Azure DevOps

Descripción del empleo

About Us

At EY wavespace Madrid - AI & Data Hub, we are a diverse, multicultural team at the forefront of technological innovation, working with cutting‑edge technologies like Gen AI, data analytics, robotics, etc. Our center is dedicated to exploring the future of AI and Data.

Overview

We are seeking an Experienced AI and Data Manager to lead strategic proposals and client engagements end‑to‑end. This role is perfect for someone with a strong consulting mindset, proven sales acumen, and deep expertise in Data Science and AI. You will help shape AI‑driven transformation for leading organisations across Europe, driving innovation and measurable business outcomes as part of our AI and Data Hub, a centre of excellence driving innovation across the region.

Key Responsibilities

• Lead proposals from ideation to submission, including scoping, pricing, and client negotiations.
• Act as a trusted advisor to senior client stakeholders, shaping AI and data strategies aligned with business objectives.
• Drive business development, revenue growth, and account expansion opportunities.
• Oversee delivery of ML/AI projects, ensuring quality, timelines, and measurable impact.
• Interest and exposure to Generative AI (GenAI) and Agentic AI is highly valuable.
• Mentor and lead more junior team members across engagements.
• Collaborate with senior stakeholders to shape strategic initiatives and go‑to‑market plans.
• Develop and evolve our commercial offerings, ensuring they remain competitive and aligned with market trends.
• Speak at client events and workshops, and shape our AI and Data Hub’s innovation agenda.

Required Skills & Experience

• 7-9 years in Data Science / AI roles, with at least 3 years in consulting for Financial Services and / or other sectors such as Telecommunications or Retail & Consumer.
• Proven track record in commercial roles: proposal ownership, client pitching, and deal closing.
• Experience in one or more of the following areas: AI for Finance, AI for Financial Risk, Pricing Modelling, Optimisation projects, FinCrime, AML, or KYC.
• Experience in MLOps implementations is highly valuable.
• Certification as Databricks Machine Learning Practitioner or in Microsoft Fabric Analytics is highly valuable.
• Interest and exposure to Generative AI (GenAI) and Agentic AI is highly valuable.
• Strong consulting toolkit: structured problem‑solving, executive communication, and stakeholder management.
• Familiarity with global delivery models and working across distributed teams.
• Ability to work effectively in multicultural environments and teams.
• Excellent communication skills, with the ability to influence and engage senior stakeholders.
• Demonstrated ability to foster a high-performance culture within diverse teams.
• Bilingual: Native or C2-level Spanish and fluent English.
• Must-have: Python, SQL, PySpark, Databricks, Azure ML, Azure DevOps.
• Nice‑to‑have: Knowledge of MLOps practices, Agile frameworks.

Our commitment to diversity & inclusion

We are genuinely passionate about inclusion and we support individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.