Head of AI Governance and Processes
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Ørestad
. Are you passionate about using AI to improve patient lives? Do you believe in the transformative power of AI but you are also deeply aware of its concerns and ethical implications? Do you spend time following the field all the way from tech and business news to latest research in Machine Learning (ML)/Generative AI (GenAI) development and Ethics?
If you are nodding at this point, then read on!
What’s in it for you? We are seeking an experienced and highly motivated leader to head a team of top AI scientists, governance professionals and ethicists. As a leader you are responsible for defining, implementing, and governing AI processes within a large, highly regulated enterprise. Your role will focus on ensuring the effective, ethical, and legal use of AI technologies while aligning with organizational and regulatory standards. You will serve as a leader in shaping AI and compliance frameworks, and fostering collaboration between business, legal, and technical teams. We expect you to have a deep understanding of AI systems, data management, and regulatory requirements, with a proven ability to lead governance efforts in a large-scale enterprise setting. If you are passionate about AI governance and have the experience and skills required for this position, we encourage you to apply. This is an excellent opportunity to lead the development and implementation of AI governance policies and procedures in a dynamic and innovative organization. Your responsibilities are to: Lead a team of skilled AI researchers and ethicists, fostering a culture of collaboration, innovation, and excellence
Provide guidance, coaching, and motivation to your team, taking pride in their success as they implement the business strategy you help shape
Establish technical guidelines and frameworks for the development, deployment, and operation of AI systems to assess and manage AI risks and benefits, addressing issues related to bias mitigation, fairness, transparency, accountability, security, as well as legal and compliance matters
Refine and enhance ’s existing AI governance policies and procedures to ensure the responsible use of AI and develop new policies to align with evolving best practices and regulations
Collaborate closely with data science, engineering, research, and product teams to identify and address ethical concerns related to data collection, modeling, and deployment of AI
Lead cross-functional AI governance and process groups to ensure alignment and effective implementation of AI governance policies and procedures
Collaborate with the Business, Ethics, and Compliance team and monitor the ethical use of AI
We also want you to c ollaborate with legal, privacy, information security, and compliance teams to ensure AI initiatives comply with relevant laws and regulations, you continuesly work with ’s Public Policy team to engage with external stakeholders and industry associations, and you s erve as a subject matter expert on AI governance, supporting both internal and external stakeholders. Candidate profile We prefer you have a BSc, MSc or PhD in Computer Science, Data Science, AI/ML, Business or other relevant fields, including several years of work experience. Proven track record of managing AI processes in a large, highly regulated enterprise
Several years of leadership experience with a background in AI is essential
Extensive knowledge of AI/ML, data management systems, regulatory frameworks, and ethical AI practices
Deep technical understanding of AI systems, model lifecycle management, and associated risks
Strong knowledge of governance principles, privacy laws, and industry-specific regulations (e.g., GDPR, HIPAA, FCRA)
Ability to navigate complex regulatory environments and provide pragmatic solutions to governance challenges
Expertise in risk management frameworks, audit processes, and AI/ML validation techniques
Understanding of pharmaceutical value chain and how to collaborate across the enterprise to bring change and accelerate impact is a plus
You are ready to work with cross-functional teams, including data science, engineering, legal, and compliance, and able to navigate a complex and senior stakeholder network, including business senior leaders, through effective communication and expectation setting Department overview We are a growing organization of data scientists, machine learning engineers, and developers partnering to deliver impactful end-to-end data products, analytics, and AI/GenAI use cases. Our work spans across research, commercial, and production, and we're focused on industrializing and democratizing AI. We use scalable data platforms, MLOps, reference architectures, and modular components that span the entire data and ML lifecycle. We are cloud-native and primarily work in AWS and MS Azure. We are agile, embrace diverse thinking and continuous learning, and foster a culture of feedback and honesty, all while having fun. Our mission is to #BringDataToLife; to convert data to understandings and insights, drive optimisations and create true value to and the patient lives we serve.
Every day, our thousands of digital experts work in all areas of technology. We navigate the tech spectrum from front-end to back-end, from artificial intelligence to machine learning, and from cloud systems to quantum computing. All to make a tangible impact on lives across the globe. How? Go explore at TechLife at .
Working at Founded in Denmark in 1923, has become one of the world’s leading healthcare companies. At , we are committed to driving change to defeat diabetes and other serious chronic diseases. To fulfil this purpose, we pioneer scientific breakthroughs, expand access to our medicines, and work to prevent and ultimately cure disease. That said, we are anything but linear. With us, your skills, commitment, and ambition help us change patients’ lives worldwide. In exchange, we offer you a rewarding and purpose-driven culture with talented and diverse co-workers. Therefore, your professional and personal development is essential for us, and in , the sky is the limit for career opportunities. Any questions?
For further information, please contact Tonia Sideri and Kris Deibler at Deadline
17 November 2024
Feeling overwhelmed by job requirements and doubting if you're 100% qualified? Don't let it stop you! We encourage you to apply anyway, as your profile could surprise us and fit our needs better than you think. So take the leap and submit your application..
If you are nodding at this point, then read on!
What’s in it for you? We are seeking an experienced and highly motivated leader to head a team of top AI scientists, governance professionals and ethicists. As a leader you are responsible for defining, implementing, and governing AI processes within a large, highly regulated enterprise. Your role will focus on ensuring the effective, ethical, and legal use of AI technologies while aligning with organizational and regulatory standards. You will serve as a leader in shaping AI and compliance frameworks, and fostering collaboration between business, legal, and technical teams. We expect you to have a deep understanding of AI systems, data management, and regulatory requirements, with a proven ability to lead governance efforts in a large-scale enterprise setting. If you are passionate about AI governance and have the experience and skills required for this position, we encourage you to apply. This is an excellent opportunity to lead the development and implementation of AI governance policies and procedures in a dynamic and innovative organization. Your responsibilities are to:
We also want you to c ollaborate with legal, privacy, information security, and compliance teams to ensure AI initiatives comply with relevant laws and regulations, you continuesly work with ’s Public Policy team to engage with external stakeholders and industry associations, and you s erve as a subject matter expert on AI governance, supporting both internal and external stakeholders. Candidate profile We prefer you have a BSc, MSc or PhD in Computer Science, Data Science, AI/ML, Business or other relevant fields, including several years of work experience.
You are ready to work with cross-functional teams, including data science, engineering, legal, and compliance, and able to navigate a complex and senior stakeholder network, including business senior leaders, through effective communication and expectation setting Department overview We are a growing organization of data scientists, machine learning engineers, and developers partnering to deliver impactful end-to-end data products, analytics, and AI/GenAI use cases. Our work spans across research, commercial, and production, and we're focused on industrializing and democratizing AI. We use scalable data platforms, MLOps, reference architectures, and modular components that span the entire data and ML lifecycle. We are cloud-native and primarily work in AWS and MS Azure. We are agile, embrace diverse thinking and continuous learning, and foster a culture of feedback and honesty, all while having fun. Our mission is to #BringDataToLife; to convert data to understandings and insights, drive optimisations and create true value to and the patient lives we serve.
Every day, our thousands of digital experts work in all areas of technology. We navigate the tech spectrum from front-end to back-end, from artificial intelligence to machine learning, and from cloud systems to quantum computing. All to make a tangible impact on lives across the globe. How? Go explore at TechLife at .
Working at Founded in Denmark in 1923, has become one of the world’s leading healthcare companies. At , we are committed to driving change to defeat diabetes and other serious chronic diseases. To fulfil this purpose, we pioneer scientific breakthroughs, expand access to our medicines, and work to prevent and ultimately cure disease. That said, we are anything but linear. With us, your skills, commitment, and ambition help us change patients’ lives worldwide. In exchange, we offer you a rewarding and purpose-driven culture with talented and diverse co-workers. Therefore, your professional and personal development is essential for us, and in , the sky is the limit for career opportunities. Any questions?
For further information, please contact Tonia Sideri and Kris Deibler at Deadline
17 November 2024
Feeling overwhelmed by job requirements and doubting if you're 100% qualified? Don't let it stop you! We encourage you to apply anyway, as your profile could surprise us and fit our needs better than you think. So take the leap and submit your application..
Information og data
Denne ledige stilling har jobtypen "Softwareudvikler", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Ørestad.
Jobbet er oprettet på vores service den 28.10.2024, 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.
- 28.10.2024
- Softwareudvikler
- Ørestad
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| Dato | Alle jobs som softwareudviklere |
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| 1. november 2024 | 1 |
| 31. oktober 2024 | 1 |
| 30. oktober 2024 | 1 |
| 29. oktober 2024 | 1 |