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Chief AI Strategist
2 months ago
Chief Scientist/ Head of AI
At LexisNexis Intellectual Property (LNIP), our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. We help innovators make more informed decisions, be more productive, and ultimately achieve superior results. By helping our customers achieve their goals, we support the development of new technologies and processes that ultimately advance humanity.
The Chief Scientist / Head of AI is a key member of the LNIP Technology Leadership Team. The Chief Scientist / Head of AI primary responsibility is to drive the strategic vision of artificial intelligence (AI) initiatives across the organization ensuring the AI strategies align with organizational goals.
Key Responsibilities:
- Developing and communicating a clear AI strategy aligned with the overall vision and goals.
- Identifying opportunities where AI can enhance enterprise services processes, improve efficiency, and drive innovation.
- Leading from the front as a hands-on subject matter expert, architecting and crafting scalable solutions, and driving data excellence across the organization.
- Defining best AI/ML driven practices and AI lifecycle.
- Collaborating with other executives, including the Chief Technology Officer (CTO), Managing Director, Product, Customer Success Leader, GTM Leader, and external customers to integrate AI into the overall technology roadmap.
- Ensuring that AI solutions adhere to ethical guidelines and legal requirements.
- Promoting transparency, fairness, and accountability in AI decision-making.
- Communicating AI initiatives, progress, and outcomes to stakeholders.
- Evaluating and recommending AI tools, platforms, and frameworks for adoption.
- Assessing risks associated with AI implementation, including bias, security, and compliance.
Requirements:
- Hold either a master's degree in computer technology, physics, math or similar field of study preferred or relevant industry experience.
- Demonstrate experience in leading AI projects and teams.
- Demonstrate an understanding of machine learning, natural language processing, and deep learning.
- Possess experience with cloud-based AI services and platforms.
- Have knowledge of regulatory frameworks related to AI (e.g.,
What We Offer:
- Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
- Generous holiday allowance with the option to buy additional days.
- Health screening, eye care vouchers and private medical benefits.
- Wellbeing programs.
- Life assurance.
- Access to a competitive contributory pension scheme.
- Save As You Earn share option scheme.
- Travel Season ticket loan.
- Electric Vehicle Scheme.
- Optional Dental Insurance.
- Maternity, paternity and shared parental leave.
- Employee Assistance Programme.
- Access to emergency care for both the elderly and children.
- Access to employee discounts scheme via Perks at Work.