At a Glance
- Tasks: Lead the development of AI governance frameworks and ensure responsible AI deployment.
- Company: Join a global leader in information and analytics for science and healthcare.
- Benefits: Enjoy flexible work options, wellbeing initiatives, and career growth opportunities.
- Other info: Be part of a diverse team committed to shaping progress in science and healthcare.
- Why this job: Make a real impact on AI governance while balancing innovation and risk management.
- Qualifications: Experience in AI governance, strong stakeholder management, and knowledge of compliance regulations.
The predicted salary is between 90000 - 110000 £ per year.
Are you passionate about building and owning practical, scalable AI governance frameworks that enable innovation while managing risk?
About the Role
As Model Governance Director, Data Science, you will own and evolve the end-to-end AI and model governance framework on behalf of the Data Science function. You will provide strategic leadership, helping to ensure AI systems are developed and deployed responsibly while balancing regulatory compliance, risk management, innovation, and business outcomes. This role partners closely with technical, legal and product stakeholders to embed effective governance into how we use AI.
Responsibilities
- Own the end-to-end AI and model governance framework on behalf of the Data Science function, including policy implementation and continuous improvement.
- Define standards for model risk classification, approvals, documentation, monitoring, and lifecycle management.
- Set the strategic roadmap for AI governance tools and processes.
- Ensure compliance with relevant AI regulations and standards, including the EU AI Act, GDPR, and emerging global requirements.
- Partner with Legal, Compliance, Privacy, and Information Security teams to maintain governance policies.
- Act as a key contact for audits, regulators, customers, and industry forums on AI governance matters.
- Establish governance metrics, reporting, model inventory oversight, and operational effectiveness measures.
- Lead and develop governance capability while supporting training and awareness across the organisation.
Requirements
- Significant experience in AI/model governance, model risk management, data governance, compliance, or a related risk discipline, including people management.
- Strong knowledge of AI governance regulations and frameworks (EU AI Act, ISO 42001 or similar) and their practical application.
- Experience designing and operating governance processes for AI/ML models in production environments.
- Strong commercial judgment with the ability to balance innovation, risk, and business objectives.
- First class stakeholder management and communication skills, with experience influencing senior technical and business leaders.
- Proven track record of creating scalable governance processes, driving continuous improvement, and introducing automation.
- Working knowledge of the AI/ML lifecycle, including data sourcing, model development, validation, deployment, and monitoring.
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people, numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals. We will help you meet your immediate responsibilities and your long-term goals.
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice.
At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all. We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence.
By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses.
Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all. With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.
Model Governance Director, Data Science employer: Elsevier Limited Company
As a Project Coordinator (Journal Manager) in Exeter, you will join a supportive and dynamic team that prioritises employee wellbeing and professional growth. With flexible working hours, remote options, and a commitment to long-term employment, our organisation fosters a culture of collaboration and trust, ensuring you have the resources and training needed to excel in your role. Enjoy unique benefits such as shared parental leave and study assistance, making this an excellent opportunity for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Model Governance Director, Data Science
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We think you need these skills to ace Model Governance Director, Data Science
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Elsevier Limited Company, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Elsevier Limited Company. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Elsevier Limited Company
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Elsevier Limited Company!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
