People Lead Artificial Intelligence
vor 8 Monaten
WHO WE ARE
- Porsche Digital is a wholly-owned subsidiary of Porsche AG. We have set out to develop strategies, innovative products, business models, and inspiring customer experiences to expand and define the Porsche brand in the age of digitalization.
- This position is an additional role in the Software Engineering and Deep Tech Skill Circle to enable our Data Scientists and Research Engineers.
- WHAT YOUR TASKS ARE
- Supporting co-workers in navigating within the organization.
- Working continuously on a good team spirit and psychological safety.
- Triggering and executing onboarding and offboarding of co-workers including end of probation feedback survey and offboarding survey.
- Preparing individual OKRs and mentoring co-workers, defining a personal development plan together with the co-worker and identifying the steps to be taken.
- Triggering and organizing feedback along the feedback and appraisal cycle incl. reflecting on feedback from “topic owners", peers or other stakeholders as well as providing continuously feedback to the co-worker.
- Leading the annual and half-year reviews with the co-worker based on the gathered feedback (including defining and communicating individual salary & bonus based on salary committee´s decisions).
- Supporting the co-worker in self-organization and prioritization.
- Exchanging and interacting with other People Leads regularly to share ideas, discuss observations, find new and creative ways to support co-workers, align on the common view on leadership within Porsche Digital and developing continuously the own ambidextrous leadership skills.
- Reflecting the Porsche Digital Guiding Principles on a regular basis together with co-workers by reviewing the Org.Check and other feedbacks in oder to derive actions for continuous improvement.
- WHAT YOU BRING ALONG
- A PhD degree in software engineering, information technology or alike
- Several years of extensive experience in a relevant work environment, with a proven track record of leadership and mentorship
- Working experience in developing ML-based products from the exploration to the deployment phase in an industrial environment
- Know-how of ML and data-focused libraries and tools, such as PyTorch, Keras/TensorFlow, Pandas, and SciKitLearn
- Solid understanding of the concepts underlying data science methods
- Experience in navigating complex stakeholder relationships and organizational structures
- Excellent knowledge of English and German
- Advanced problem-solving skills
- Ability to cultivate a collaborative and inclusive team culture within an agile environment, prioritizing both individual growth and collective success
- WHAT COMES NEXT
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