Data & AI Governance Specialist
Madrid, ES
EDP Renewables is a global leader in the renewable energy sector and the fourth-largest wind energy producer. With a sound development pipeline, first-class assets, and market-leading operating capacity, EDPR has undergone exceptional development in recent years and is currently present in 28 markets.
Our company is part of EDP, a global energy group present in around 30 markets with a particular emphasis on renewable energies. With more than 45 years of experience, we have been consolidating a relevant presence on the world energy scene based on the commitment to be all-green by 2030, leading the energy transition. With more than 13,000 employees around the world, we are committed to using our energy and heart to drive a better tomorrow.
MISSION
DGU GEM is within GEM (Global Energy Management), responsible for the definition of the data strategy and IT landscape that better addresses business requirements aligned with the Corporate IT Reference Architecture and Security Policies, providing and supporting solutions, data and reporting to the business functions.
As a Data & AI Governance Specialist you will play a key role in enabling our vision of a data-led culture, enabling actionable insights, better business decisions, and operational excellence through trusted and accessible data. Within IT & Data team of GEM, you will support the CDO, working very closely with Data & AI Center of Competence and Data Officers and Data Owners to ensure the local implementation of Data Management and Governance policies and processes in worlwide gross markets related data.
MAIN ACCOUNTABILITIES
- Supervise and support the implementation of Data & AI Governance and Quality policies, processes and roles aligned with organization ambitious goals
- Create and maintain comprehensive functional and technical documentation for all data & AI governance initiatives, changes, and implementations
- Work closely with Data Owners to define data governance standards and policies
- Supports and coaches Data Owners and Stewarts on data governance principles and standards and ensures proficiency in Data Management tools
- Ensures data is managed according to principles, guidelines and processes defined
- Monitor and improve data quality across the organization.
- Develop and maintain data quality metrics and reports to track performance and identify areas for improvement
REQUIRED PROFILE
- ACADEMIC SKILLS:
- Bachelor’s degree in software engineering, computer science, systems engineering, business management, or related field
- LANGUAGE:
- Excellent written and spoken Spanish and English. Additional languages are a plus
- PROFESSIONAL EXPERIENCE:
- At least 3 years' experience data management projects;
- Experience designing and implementing analytical data systems, as a data engineer. Real time data processing experience is a plus
- Microsoft/Azure ecosystem knowledge is a plus;
- Experience of working in a data office, data governance or data management role
- Experience of implementing data & AI governance glossaries, data dictionaries, data catalogues in reference Data Governance Tools (e.g. Purview)
- Experience of designing and/or implementing data & AI policies and standards, and measuring adherence
- Experience of data quality definition, monitoring and remediation
- KNOWLEDGE:
- Strong knowledge of data management and data governance best practices (DAMA)
- Knowledge on the definition, implementation and management of the AI Models lifecycle (AI Governance) and productization using MLOPs is a plus
- Energy Markets business awareness/business domain knowledge (a plus)
- Experience in working in an enterprise data model definition
- Knowledge of ethical and regulatory risks in relation to AI
- Strong knowledge on the implementation of data pipelines and related technologies such as SQL, Databricks or DataFactory
- OTHERS:
- Excellent analytic and structuring capability
- Proactive, autonomy, strong sense of responsibility and resilience
- Strong value realization, collaboration, communication, negotiation, influence and strategic vision
- COMPETENCIES
- Strong stakeholder engagement and change management skills
- Experience of maintaining information and documentation using collaboration tools
- Strong communication and presentation skills with the ability to influence others to achieve objectives
- Experience of working in a complex global organisation
- Able to work in a multi-project environment
Equal opportunities for all
Our vision is that each person combines their unique characteristics and experiences to fulfill our mission of creating new energy for the planet. We are an inclusive employer, ensuring all candidates are treated fairly throughout the recruitment process. We welcome and value all people, and we are committed to fostering a sense of belonging for each person who is part of the EDP group.
Need more reasons to apply?
As a top employer we:
Empower our employees through a positive and innovative work environment that promotes collaboration and agile decision-making;
Respect and value each person, providing a flexible, healthy, and inclusive workplace with a range of attractive benefits;
Provide a meaningful work experience and prepare our people for future challenges through different opportunities for development and internal mobility;
Our efforts have resulted in several distinctions over time, highlighting the EDP group's strong positioning and its dedication and commitment to attracting and retaining the best talent:
Top employer certification by Top Employers Institute
Part of the Bloomberg Gender-Equality Index
Global certification as a family-responsible company by Fundación Másfamília
Top 100 Workplaces by Houston Chronicle
Discover our tips to enhance your performance during the recruitment process and apply until 23 November, 2024, if you think you are the right fit for this opportunity.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AI governance Architecture Azure Computer Science Databricks Data governance Data management Data pipelines Data quality Data strategy Engineering MLOps Pipelines Security SQL
Perks/benefits: Career development Flex hours
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