Senior Data Leader for AI

ESP - FERROVIAL - HQ RdL (Madrid)

Ferrovial

Welcome to the Ferrovial's website, global operator of sustainable infrastructure. Here you can find all the information about the company and subsidiaries.

View all jobs at Ferrovial

Apply now Apply later

About us:

Ferrovial is one of the world’s leading infrastructure operators, committed to developing sustainable solutions.

 

Our company operates in more than 15 countries and has a workforce of over 24,000 professionals worldwide. Ferrovial is listed simultaneously on 3 stock markets: USA (Nasdaq), the Netherlands (Euronext Amsterdam), and Spain (IBEX 35), and is a member of the Dow Jones Sustainability Index and FTSE4Good.

 

The aim of Ferrovial Corporation is to design the Company's strategy, establishing global policies, guidelines and action guides related to the different functional areas of the Organization (Internal Audit, Finance, Human Resources, Legal, IT, Innovation, etc.), which subsequently are developed and adapted to the specificities of each Business Unit. Additionally, it performs a function of providing corporate services to the different companies of the group, while consolidating its information.

 

Job Description:

At our company, we believe in leveraging Artificial Intelligence (AI) as a key driver for creating business value. AI has the power to transform our operations and enhance decision-making, but its true potential can only be realized with high-quality data. Data is the lifeblood of AI, fueling its ability to deliver innovative solutions and insights.

To achieve it, we are looking for a senior professional with proven experience in managing data in the context of AI Programs.

Is that you? Then, keep reading!

Functions:

Reporting to the Global CDO (Spain based) you will:

Strategy:

  • Be fully aligned with the AI Program Manager to understand business AI-Driven use cases.
  • Prioritize data needs according to the potential business value and data feasibility.
  • Coordinate data needs among different stakeholders and data teams.
  • Act as a “facilitator” for the AI Program.
  • Participate in the AI Program Governance committee to report data activities issues.

Use Case Delivery:

  • Identify relevant data sources (internal or external)
  • Identify relevant data owners and stewards across the organization.
  • Facilitate sample data (structured or non-structured) to start with an AI use case (MVP).
  • Grant data protection and privacy policies in AI use cases.
  • Identify data quality issues and coordinate teams to promote remediation plans.
  • Promote the use of standards and best practices designed by Ferrovial.
  • Propose data platforms evolution, if needed to manage AI use cases more effectively.
  • Be up to date with market trends, being proactive in the test and adoption, if suitable.
  • Promote the evolution of data platforms, data policies or data & AI governance rules.

Roll Out:

  • Participate in the industrialization phase.
  • Define data needs for each use case (resources and budget).
  • Coordinate different stakeholders and system integrators to automate data access.
  • Coordinate different data teams to evolve their data platform, if needed.
  • Measure the data value contribution to each use case.

Requirements:

  • Strategic mindset to analyze each use case business value.
  • At least 5 years of experience leading data teams in a context of AI use cases.
  • At least 1 year being involved in Gen AI Use cases.
  • Demonstrated experience understanding stakeholders needs and aligning different visons and interests.
  • Proven capabilities to fully understand business needs and translate them into data technical needs.
  • Demonstrated experience coordinating multiple data teams at the same time (internal or external).
  • Proven experience negotiating with different partners and system integrators.
  • Proven experience controlling the budget and progress of different initiatives at the same time.
  • Deep understanding of potential data security and privacy rules.
  • Strong technical acumen. Deep knowledge of data & AI architectures on Azure is a MUST.
  • Proven experience working with Agile methodologies.
  • Skills to communicate to different levels in the organization.
  • High level English (C2)/Native is a must.

Why Ferrovial?

We would like you to get to know us better, and what it means to join our team. Joining Ferrovial means taking the leap to:

  • Being part of a leading company in its sector, with a presence in 6 main markets
  • Work with the best professionals
  • A solid and innovative project
  • Professional development
  • The best work environment
  • The best benefits
  • Feedback processes implemented to ensure professional growth
  • Diversity and inclusions initiatives
  • International and cross Business Units Mobility

What can we offer you?

  • Employment stability with a permanent contract since the beginning
  • Individual development plan with technical and soft skills training
  • Restaurant card: 11€ for each full-time day
  • Work-life balance: flexible hours, shorter working days on Fridays, Christmas time, eastern and summer, company specially days-off, and purchase of vacations
  • Flexible Remuneration Plan: Medical insurance, Nursery Tickets, Vehicle rental, life and accident Insurance, stock bonus, collective savings insurance, transport card
  • Gympass Enrollment
  • Free access to the Stimulus Program (Psychological support for employees and family members)
  • Assignment of a buddy who will accompany you throughout the trip, to support your professional and personal development during your first three months
  • Employee’s Club: discounts to employees on item purchases, shows ticket reservations, trips, etc
  • Vending Machines card: refreshments in the cafeteria
  • Healthy snacks

If you are passionate about challenges, and you think you fit in the described profile, do not hesitate to sign up for the offer. Take the jump! We are waiting for you!

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  6  1  0

Tags: Agile AI governance Architecture Azure Data quality Finance Generative AI MVP Privacy Security

Perks/benefits: Career development Equity / stock options Fitness / gym Flex hours Flex vacation Salary bonus Signing bonus Startup environment

Region: Europe
Country: Spain

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.