Ai Digitalization Project Manager (F/M/D)

Company Description

Do you want to contribute to projects shaping the future of energy in the Baltics and beyond?  Ignitis Group shared service center is a part of the Ignitis Group – a renewables-focused integrated utility. Our purpose is to create a 100% green and secure energy ecosystem for current and future generations. The Centre boasts a diverse range of competencies that not only ensure the smooth operation of daily activities across the Group but also support the energy transition in the Baltic Sea region. We are involved with all the Group’s products, from solar parks to electric vehicle charging stations. Given the scope and variety of projects, our team includes specialists in multiple disciplines, such as law, IT, HR, communications, procurement, and more. Every colleague, regardless of their area of expertise, contributes to the development of energy independence in Lithuania and beyond, extending to neighbouring countries. 

www.ignitisgrupe.lt

Job Description

We are currently looking for a new colleague to join the Digitalization and Data Analytics team at the Ignitis Group shared service center. In this role, you’ll be responsible for applying artificial intelligence technologies across the group to enhance its digital maturity and create exceptional experiences for our clients and employees. If that speaks to you, we’d be happy to welcome you to our team!

Take YOUR part in #EnergySmart!

You will contribute to green and secure energy ecosystem creation by:

• Proposing and implementing artificial intelligence ideas that will transform tomorrow's digital customer and employee experiences;
• Developing, enhancing, and deploying automation solutions using artificial intelligence and machine learning methods to analyze network data;
• Working with large datasets, including both structured and unstructured data;
• Monitoring market trends, analyzing artificial intelligence application opportunities, and implementing pilot projects for proposed ideas;
• Executing digitization projects of varying scales: from MVP solutions in small teams to broad technology applications at the group level.

Qualifications

• Experience with LLMs and other artificial intelligence solutions, as well as assisting others in utilizing them effectively;
• Strong programming skills (e.g., Python) for model development, data analysis, machine learning, and working with GenAI libraries;
• At least one year of experience in developing and applying artificial intelligence solutions in business environments;
• Experience working with Azure or Google Cloud platforms;
• An understanding of the value created by rapid prototyping, MVPs, or pilot projects, with direct involvement in their implementation.

Additional Information

• A package of additional benefits to choose from: pension accumulation, health insurance, or another benefit from the selectable benefits list in the MELP application;
• Additional paid days for health improvement, short-term illness, volunteering, and accumulated work experience;
• A hybrid work model (3+2) and flexible working hours; 
  Internal career opportunities;
• Extensive learning and qualification enhancement programs; 
• Mentorship-based culture designed to facilitate meaningful and value-driven work;
• Take part in an unfolding energy transformation process to create a 100% green and secure energy ecosystem for both current and future generations.

Join a growing and increasingly international team of energy smart people united by a common purpose. We all play our part in creating a 100% green and secure energy ecosystem for current and future generations.

As we pursue our strategic goals to increase gender balance in Ignitis Group, we are indicating “f/m/d” next to job titles, meaning we welcome candidates of all genders – female, male or diverse.

Ignitis Group is committed to a policy of equal employment opportunity and does not discriminate against race, religion, gender, sexual orientation or gender identity, age, disability or other personal traits unrelated to work obligations.