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Senior Project Manager (Data Analytics & AI Lead)

Hybrid in Madrid·Added over a year ago (last checked 13 Nov)

Agency

Michael Page España

2456 open roles

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Our summary

Salary: €65,000 - €70,000 a year
About €3,720 - €3,950 a month after tax, or €3,800 - €4,110 under the Beckham regime.
Work mode: Hybrid, Madrid
Contract: Permanent
Spanish: Expected (ad in Spanish)
English: Required
Experience: 5+ years
Education: University degree

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The ad doesn’t mention sponsorship
Not a refusal, but not a yes. Worth asking in your first message.
Pay clears the EU Blue Card threshold
The advertised pay is over the €41,356 bar, so the route exists if Michael Page España uses it.

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Skills

Nice to have

This job advert was originally written in Spanish.

Requirements

What we're looking for

The candidate selected as Senior Project Manager (Data & IA) must meet the following requirements:

Academic background in technology, data analysis, artificial intelligence, or related areas.
Extensive knowledge in the use of data analysis tools and artificial intelligence platforms.
At least 5 years working with data analysis/IA teams in global contexts, with a track record of large-scale transformation programs.
Experience defining methodologies, governance, and service standards (KPIs/SLAs).
Proven ability to lead multidisciplinary teams: data science, data engineering, BI, etc.
Advanced level of English (presentations and workshops with global audiences)

Knowledge/experience in

End-to-end tools, AI solutions.
Ability to design and implement innovative data-driven strategies.
Ability to work in multidisciplinary teams and manage complex projects.
Results-oriented approach and advanced analytical skills.
Solid knowledge in security and handling of sensitive data.

Nice to have

Desirable:

Programming in Python and/or R (ideally both); pipeline construction (APIs/ETL/ELT), orchestration (Airflow/Prefect), and versioning (Git).
Cloud solutions: AWS, GCP, MS Azure (Data Lake/Warehouse, Functions, Orchestration).
Visualization: Tableau, Power BI, and/or D3.js; executive dashboard design.
Causal modeling, experimental design, and impact evaluation.
Social Listening and social media analytics and metrics.
Understanding of Salesforce.
Marketing Cloud and CRM ecosystem.
SQL and NoSQL database administration; data model design and data quality.
Social Web APIs and connectors.

Pay & benefits

What you'll get

Permanent contract within a professional and stimulating work environment.
A collaborative and innovation-oriented work environment.
Hybrid, flexible model

The role

We are looking for a Senior Project Manager specializing in DATA & IA to lead the development and implementation of innovative client-facing strategies to ensure and guarantee project efficiency. This is a Project Manager role to join the Global Intelligence area.

Multinational company specializing in DATA
Specialist in Business Intelligence and AI-driven Data Analytics

What you'll do

The person selected as Senior Project Manager for the Data Analytics and IA Area will have the responsibility to join the global Business Intelligence unit, and will coordinate the Data Science, Data Engineering, Social Media Analysts, and Data Analyst teams distributed globally.

Their mission is to convert structured and unstructured data into actionable insights, define methodologies and governance frameworks, and act as a liaison between headquarters and regional markets to ensure the impeccable execution of AI-driven strategic transformation programs.

They will guarantee that client projects—related to data extraction from all ecosystem channels, analysis, visualization, and IA—are carried out with the best team, and the best tools and practices, for which this person will be in permanent contact with clients.

Responsibilities:

Coordinate a global team (Data Science, Data Engineering, Analytics) across multiple time zones, focusing on operational excellence, collaboration, and value delivery.
Define the Intelligence/Analytics roadmap (use cases, backlog, priorities, and OKRs) aligned with business strategy and market needs.
Orchestrate the end-to-end portfolio: ideation, scoping, design, development, deployment, and adoption, ensuring delivery efficiency.
Establish standards and governance: supported by the Data Engineering team, establish methodologies, data contracts, data quality and lineage, security/privacy, and MLOps/LLMOps practices; experimentation (A/B, causality).
Supervise data engineering: design of models and pipelines (batch/streaming), integration of sources (social, CRM, web/app, e-commerce, sales), reliability, and cloud costs.
Build and evolve data and analysis models (descriptive, predictive, and prescriptive) applied to personalization, optimization, and forecasting.
Drive analytics, advanced social listening, and automated executive dashboards.
Manage talent: hiring, onboarding, career paths, performance reviews, mentoring, and continuous upskilling; learning and high-performance culture.
Plan capacity and budget: resource allocation, negotiation with partners/vendors, and budget optimization.
Align stakeholders (C-level, Markets, Product, IT/Security): service agreements (KPIs/SLAs), prioritization by value, and market adoption.
Communicate impact: executive storytelling with "so what / now what", value measurement, and replicable success cases at scale.
Guarantee responsible IA: ethics, transparency, and regulatory compliance in all developments and activations.
Develop dashboards, pipelines, and IA agents that automate processes and facilitate data extraction, analysis, and activation at scale.

Hiring process

2 steps2 interviews

CV registration
Consultant contact
With a specialist Michael Page consultant
If they see that your experience and motivations fit the values and needs of a hiring company, they will contact you to start the selection process: they will learn about your expectations, answer your questions and help you prepare for each stage of the process.
Company interview
With a client company
If your application progresses, we will help you prepare for the interview with useful information about the company, its culture and what it looks for in a profile like yours.
Final stage and negotiation · With a client company

The final stages are set by the client company: Michael Page acts as an intermediary, and the interview and decision rest with the hiring company.
Support continues after the contract is signed.
Michael Page cannot support every candidate; registering and keeping your profile up to date opens the door to future processes.

About Michael Page España

Michael Page is a global recruitment consultancy and part of PageGroup, one of the world's leading professional recruitment firms. The company specializes in placing mid-to-senior level professionals across a wide range of sectors, including technology, engineering, finance, sales, and human resources. With a strong presence in Spain, Michael Page operates offices in major cities and offers services such as executive search, temporary staffing, and outsourcing solutions.