Experienced Scrum Master - AI & Analytics Centre of Excellence
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Are you passionate about using data to improve million of patient lives? Can you inspire people, cultivate an environment of commitment, courage, focus and respect in healthy and high performing teams? Do you thrive in a fast-pasted, multicultural environment? Then you might be our new teammate at our AI and Analytics Centre of Excellence (CoE), located in Digital Data & IT. Join us in our mission to #BringDataToLife. The position As an experienced Scrum Master you will facilitate, coach and support 1-2 tech product teams comprising of developers and engineers. These teams work with core data and ML (Machine Learning) platforms and subcomponents, delivering data and ML services across the company, partnering with data and domain experts across the organisation. You’ll be working both independently and in close collaboration with the product team members, Product Owners, users and stakeholders as well as people leaders. Your will: Facilitate all Scrum Ceremonies (i.e sprint planning, daily stand-ups, reviews and retrospectives) Work proactively with the Product Owner to ensure that team ceremonies fulfil their purpose, and that the team delivers to commitments and maintains true product and user-focus Identify and help to remove barriers that impact team success (i.e velocity, user-focus, intra- and inter-depedencies) Use coaching and servant leadership skills to cultivate strong relationships within and across teams and encouraging a learning culture Apply design thinking to continuously improve team’s ways of working and user-focus. Work closely with people leaders to ensure ongoing development and growing of our talented people and collaborate with other scrum masters in the area to organise cross-organisational events. The position is based in Bagsværd, Denmark in a flexible working environment. Qualifications and skills We’re looking for a Scrum Master that is skilled in cultivating healthy, high performing teams, where empowerement and collaboration are part of everyday behaviour. You have: Master’s degree in computer science, engineering, business administration, or other relevant fields 3-5 years of experience in working in agile and tech-heavy products, accompanied ideailly with a relevant scrum certification Excellent communication, facilitation, and coaching skills, used across multiple locations and cultures Experience with design thinking as well as interest or experience in product strategy/opportunity mapping etc Fluent spoken and written English Potentially you also have; Experience with cloud computing (AWS), AI or/and MLOps Experience with using Azure DevOps Start-up or any high-paced, user-focused tech product experience Experience working in the life sciences industry, or other regulated industry You can: Bring out the best in your team and convert individual and collective capabilities to impactful products and happy users Support individual and team happiness and growth through empathy, coaching and feedback Identify and resolve team conflict early, in an open and productive way Manage a high volume of work and maintain yours and the team’s drive and purpose Cultivate strong relationships with the team, Product Owners and other stakeholders Contribute to the agile maturity and agile ways of working in the organisation About the department We are a team of data scientists, analysts, machine learning engineers and software developers, partnering across the organisation to deliver impactful end to end analytics and ML solutions spanning from Research, to Commercial and Production. We want to industrialise and democratise the way we do analytics, reducing the lead time from PoC to Prod with scalable data platforms, MLOps, reference architectures and modularised components that span across the whole data and ML lifecycle. We are cloud native and work primarily in AWS.We work agile, embrace continuous learning and a culture of feedback and honesty, and we don’t forget to have fun. Our group is part of the larger area of Data Management and Analytics, where we get to work closely with our AWS data lake, data marketplace and data science platforms, having cross-functional power to quickly design and implement scalable solutions as well as take care of operations. We are a multinational and diverse group in three different locations in USA, India and Denmark working in a set of scrum teams, committed to organise and deliver around agile values. Contact For further information, please contact the Head of AI and Analytics Centre of Excellence, Tonia Sideri at [email protected]. Deadline February 12th, 2023 We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i Bagsværd.
Jobbet er oprettet på vores service den 19.1.2023, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
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Statistik over udbudte øvrige i Bagsværd over tid
| Dato | Alle jobs som øvrige |
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| 23. november 2024 | 76 |
| 22. november 2024 | 70 |
| 21. november 2024 | 65 |
| 20. november 2024 | 66 |
| 19. november 2024 | 65 |
| 18. november 2024 | 64 |
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| 16. november 2024 | 73 |
| 15. november 2024 | 70 |
| 14. november 2024 | 69 |
| 13. november 2024 | 66 |
| 12. november 2024 | 62 |
| 11. november 2024 | 60 |
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| 8. november 2024 | 59 |
| 7. november 2024 | 58 |
| 6. november 2024 | 57 |
| 5. november 2024 | 57 |
| 4. november 2024 | 53 |
| 3. november 2024 | 58 |
| 2. november 2024 | 57 |
| 1. november 2024 | 56 |
| 31. oktober 2024 | 64 |
| 30. oktober 2024 | 50 |
| 29. oktober 2024 | 49 |
| 28. oktober 2024 | 47 |
| 27. oktober 2024 | 53 |
| 26. oktober 2024 | 53 |
| 25. oktober 2024 | 54 |
| 24. oktober 2024 | 51 |