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AI and Data Manager

EY

Software and Technology Jobs

AI and Data Manager

full-timePosted: Nov 4, 2025

Job Description

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. 

Locations

  • Madrid, M, ES, 28003
  • Madrid, M, ES 28003

Salary

Estimated Salary Rangemedium confidence

85,000 - 140,000 EUR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Scienceintermediate
  • AIintermediate
  • Consultingintermediate
  • Structured problem-solvingintermediate
  • Executive communicationintermediate
  • Stakeholder managementintermediate
  • Pythonintermediate
  • SQLintermediate
  • PySparkintermediate
  • Databricksintermediate
  • Azure MLintermediate
  • Azure DevOpsintermediate
  • MLOps practicesintermediate
  • Agile frameworksintermediate
  • Generative AI (GenAI)intermediate
  • Agentic AIintermediate
  • Excellent communication skillsintermediate
  • Ability to influence and engage senior stakeholdersintermediate
  • Foster a high-performance cultureintermediate

Required Qualifications

  • 7-9 years in Data Science/AI roles (experience)
  • At least 3 years in consulting for Financial Services and/or other sectors such as Telecommunications or Retail & Consumer (experience)
  • Proven track record in commercial roles: proposal ownership, client pitching, and deal closing (experience)
  • 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)
  • Experience in MLOps implementations is highly valuable (experience)
  • Certification as Databricks Machine Learning Practitioner or in Microsoft Fabric Analytics is highly valuable (experience)
  • Strong consulting toolkit: structured problem-solving, executive communication, and stakeholder management (experience)
  • Familiarity with global delivery models and working across distributed teams (experience)
  • Ability to work effectively in multicultural environments and teams (experience)
  • Excellent communication skills, with the ability to influence and engage senior stakeholders (experience)
  • Demonstrated ability to foster a high-performance culture within diverse teams (experience)
  • Bilingual: Native or C2-level Spanish and fluent English (experience)
  • Must-have: Python, SQL, PySpark, Databricks, Azure ML, Azure DevOps (experience)

Preferred Qualifications

  • Experience in MLOps implementations (experience)
  • Certification as Databricks Machine Learning Practitioner or in Microsoft Fabric Analytics (experience)
  • Interest and exposure to Generative AI (GenAI) and Agentic AI (experience)
  • Knowledge of MLOps practices (experience)
  • Agile frameworks (experience)

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
  • 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

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EY logo

AI and Data Manager

EY

Software and Technology Jobs

AI and Data Manager

full-timePosted: Nov 4, 2025

Job Description

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. 

Locations

  • Madrid, M, ES, 28003
  • Madrid, M, ES 28003

Salary

Estimated Salary Rangemedium confidence

85,000 - 140,000 EUR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Scienceintermediate
  • AIintermediate
  • Consultingintermediate
  • Structured problem-solvingintermediate
  • Executive communicationintermediate
  • Stakeholder managementintermediate
  • Pythonintermediate
  • SQLintermediate
  • PySparkintermediate
  • Databricksintermediate
  • Azure MLintermediate
  • Azure DevOpsintermediate
  • MLOps practicesintermediate
  • Agile frameworksintermediate
  • Generative AI (GenAI)intermediate
  • Agentic AIintermediate
  • Excellent communication skillsintermediate
  • Ability to influence and engage senior stakeholdersintermediate
  • Foster a high-performance cultureintermediate

Required Qualifications

  • 7-9 years in Data Science/AI roles (experience)
  • At least 3 years in consulting for Financial Services and/or other sectors such as Telecommunications or Retail & Consumer (experience)
  • Proven track record in commercial roles: proposal ownership, client pitching, and deal closing (experience)
  • 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)
  • Experience in MLOps implementations is highly valuable (experience)
  • Certification as Databricks Machine Learning Practitioner or in Microsoft Fabric Analytics is highly valuable (experience)
  • Strong consulting toolkit: structured problem-solving, executive communication, and stakeholder management (experience)
  • Familiarity with global delivery models and working across distributed teams (experience)
  • Ability to work effectively in multicultural environments and teams (experience)
  • Excellent communication skills, with the ability to influence and engage senior stakeholders (experience)
  • Demonstrated ability to foster a high-performance culture within diverse teams (experience)
  • Bilingual: Native or C2-level Spanish and fluent English (experience)
  • Must-have: Python, SQL, PySpark, Databricks, Azure ML, Azure DevOps (experience)

Preferred Qualifications

  • Experience in MLOps implementations (experience)
  • Certification as Databricks Machine Learning Practitioner or in Microsoft Fabric Analytics (experience)
  • Interest and exposure to Generative AI (GenAI) and Agentic AI (experience)
  • Knowledge of MLOps practices (experience)
  • Agile frameworks (experience)

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
  • 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

Target Your Resume for "AI and Data Manager" , EY

Get personalized recommendations to optimize your resume specifically for AI and Data Manager. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "AI and Data Manager" , EY

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Technology ConsultingProfessional ServicesConsulting

Answer 10 quick questions to check your fit for AI and Data Manager @ EY.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.