Overview
DATA & AI GOVERNANCE MANAGER role at Almirall. The data and AI governance lead is responsible for leading an organization's AI governance and Data governance program, developing and implementing policies, procedures, and guidelines to ensure innovation, regulatory compliance, and adherence to Almirall’s ethical principles.
Responsibilities
* Developing and maintaining a comprehensive AI and Data governance framework that aligns with the organization's goals, objectives, and capabilities.
* Evolving and executing AI governance processes to inventory AI models, assess their risks, and design and implement an AI Observability process to monitor use cases value, effectiveness, compliance and adherence to Almirall’s ethical principles.
* Defining and implementing data governance policies and procedures, including data quality standards, data classification, data retention policies, ensuring regulatory compliance.
* Collaborating with key stakeholders across the organization (including director level) to establish and enforce data governance standards and guidelines. Ensure stakeholders are accountable for their data domains; provide training if necessary.
* Product owner of Almirall’s AI Governance tool, aggregating inputs from stakeholders, prioritizing requirements, and coordinating IT execution.
* Developing and delivering communication plans and training programs to ensure employees understand their responsibilities for managing and protecting data.
* Establishing and maintaining effective communication channels with stakeholders to ensure data governance policies are understood and followed.
* Identifying and managing risks related to Data & AI governance, including data breaches and non-compliance with regulations and standards.
* Staying up-to-date with emerging trends in AI & Data governance and making recommendations for their adoption.
* Overall, leading data and AI governance efforts to ensure compliant and effective management of data and AI models, requiring leadership, deep knowledge of governance principles, familiarity with no-code AI technologies, and ability to influence across the organization.
Experience
* Minimum of 4 years of experience in data products, data technologies and data governance or a related field.
* Experience in data management and familiarity with data architecture, data modeling, data integration, data analysis, and data visualization.
Education
* Bachelor's or master's degree in a relevant field, such as computer science, information management, or business administration.
Specific Knowledge
* Fluent in English and Spanish, both spoken and written.
* Strong understanding of data governance principles and best practices, including data classification, data quality, data retention, and data security.
* Knowledge of AI as a user, and desirably knowledge of no-code AI tools.
* Regulatory compliance knowledge : strong understanding of data-related and AI regulations and standards, such as GDPR.
* Desirably high-level knowledge of data services / platforms like Power BI and Datalake.
Skills
* Excellent communication skills : ability to communicate with stakeholders across the organization, including executives, business users, and technical staff, and present technical results to a non-technical audience in a cross-functional environment.
* Project management : ability to manage projects, establish timelines, and deliver on time and within budget.
Why work with Almirall?
We are a people-centric company where employees are at their best, patients and customers are at the heart of every decision, and our focus and agility allow us to deliver greater impact for all. We have been certified as Top Employer in Spain for 17 consecutive years and Top Employer Germany for the first time, reflecting our commitment to a unique work environment that supports skill development and growth. We are proud of our employees and their development, as they are the success of the company.
Senioriy level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Information Technology
Industries
* Pharmaceutical Manufacturing
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