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Senior Data Strategist for AI

hace 2 meses

Madrid, Madrid, España Ferrovial Corporación, S.A.U. A tiempo completo
About Ferrovial Corporación, S.A.U.

Ferrovial is a leading global infrastructure operator, dedicated to developing sustainable solutions. With a presence in over 15 countries and a workforce of over 24,000 professionals, Ferrovial is listed on three major stock exchanges: the USA (Nasdaq), the Netherlands (Euronext Amsterdam), and Spain (IBEX 35). We are a member of the Dow Jones Sustainability Index and FTSE4Good.

Job Description:

We are seeking a Senior Data Strategist to join our team, responsible for managing data in the context of AI programs. As a key driver for creating business value, AI has the power to transform our operations and enhance decision-making. However, its true potential can only be realized with high-quality data, which is the lifeblood of AI.

Key Responsibilities:
  • Develop and implement a data strategy aligned with the AI program manager to understand business AI-driven use cases.
  • Prioritize data needs according to 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 visions 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 are a solid and innovative company project, offering challenging roles and projects. Our company culture is based on collaboration, diversity, and inclusion. We offer attractive benefits, including employment stability, individual development plans, and flexible remuneration plans.