Responsible AI Scientist

Allianz Services is proud to serve and be part of Allianz Group, one of the world's leading insurers and asset managers. Our strong global footprint, with more than 6000 employees located across eight countries and four continents, enables us to unlock the full potential towards driving a superior client experience within Allianz Group. 

Allianz Services within Allianz Technology plays a key role in Data Analytics and AI-driven transformation by providing impactful solutions, growing capabilities, and running selected innovation and scaling projects across the Allianz operating model. As Data & AI Capability Manager, you will contribute to the development and deployment of comprehensive upskilling programs in data and artificial intelligence (AI) on a global scale. Your expertise will be instrumental in shaping the data and AI competencies of Allianz and ensuring our teams are well-prepared for the challenges and innovations within the ever-evolving data and AI landscape. 

What you can find at Allianz Technology:

• Work Life - Balance: We offer flexible working hours so you can start your working day according to your needs. In addition, during the summer and every Friday of the year, you have the option of intensive working hours, which will allow you to enjoy more free time for yourself.
• International and Multicultural Environment: We value the diversity and richness that comes from working in an international and multicultural environment. With more than 52 different nationalities represented in our company, we offer our employees the opportunity to collaborate with people from all over the world, enriching the work environment and providing the opportunity to learn and grow in a truly global setting. This diversity allows us to have a broader perspective, foster creativity and innovation, and promote an inclusive work environment where every voice is heard and valued.
• Professional Growth Opportunities: We are committed to the professional development of our employees and provide numerous opportunities for growth within the company. We value internal talent and promote internal advancement, offering training programs, mentoring, and skills development that allow our employees to advance in their careers. 
• Compensation and Benefits Package: It includes a company bonus plan, pension, employee stock program, and multiple employee discounts (details vary by location).

Your mission in the role will be:

• Connect data science teams across the globe while establishing best practices and monitoring their adoption.
• Develop and deliver trainings (slides, guides, code).
• Mentor and coach data scientists across the organization, and train/up-skill them towards adopting best practices.
• Research content inside and outside of Allianz on challenging data science and innovative technical topics, and play the role of thought leadership for data science topics.
• Help to prepare articles and presentations for the global data science community
• Develop company-wide best practices for data science coordinating international expert working groups  
• Monitor the adoption level of best practices across the organization, identify gaps, and support local teams to accelerate their adoption.
• Assess data science teams and solutions against compliance with regulations and internal frameworks.
• Support the simplification of processes so that business owners, in addition to data scientists, can leverage Big Data to drive business decisions.

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What will make you succeed in this position?

• Minimum of 3 years in technical talent management data and AI roles, with a demonstrated history of designing and executing effective global training programs. 

• Strong organizational and coordination skills are required. 

• Experience in running large projects for/in multinational corporations and mange senior manager sponsorship with several stakeholders involved at the same time. 

• Excellent communication and interpersonal skills to effectively convey complex concepts and engage diverse global audiences. 

• Ability to quickly adapt to evolving technologies and industry trends, ensuring training programs remain current and relevant globally. 

• Strong project management skills to efficiently plan, execute, and monitor upskilling initiatives on a global scale. 

• Experience working in a global organization, understanding cultural nuances, and tailoring upskilling programs to diverse audiences. 

• Knowledge of data analytics, machine learning, and AI technologies is a plus. Proficiency in relevant programming languages (e.g., Python, R) is not required but certainly an advantage.  

• Bachelor’s or advanced degree in a relevant field such as Data Science, Computer Science, or Organizational Development. 

• Fluent English skills (written and spoken) are mandatory and additional language skills are welcome.

   About Allianz Technology

Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group. With more than 12,000 employees located in 51 countries around the globe, Allianz Technology works together with other Allianz entities in pioneering the digitalization of the financial services industry.

We oversee the full digitalization spectrum – from one of the industry’s largest IT infrastructure projects that includes data centers, networking and security, to application platforms that span from workplace services to digital interaction. In short, we deliver full-scale, end-to-end IT solutions for Allianz in the digital age.

D&I statement

Allianz Technology is proud to be an equal opportunity employer encouraging diversity in the working environment. We are interested in your strengths and experience. We welcome all applications from all people regardless of gender identity and/or expression, sexual orientation, ethnicity and cultural background, age, nationality, religion, disability, or philosophy of life.

Join us. Let´s care for tomorrow.

You. IT

49290 | Ingeniería informática y tecnológica | Profesional / Senior | Non-Executive | Allianz Technology | Jornada completa | Indefinido