Project/Program Manager IV

Project/Program Manager IV

Project/Program Manager IV (Data Science Process Optimization Lead)

Are you an experienced leader interested in utilizing data science to support innovation and strategic decision-making in the scientific research and publications industry?

Do you have extensive experience in developing and operating Data Science Solutions with cross-functional teams within a large data organization?

Do you have experience with Process optimization in large organizations?

About our Team

This team’s mission is transforming data into actionable insights. This role is perfect for those who thrive in a dynamic environment and are passionate about leveraging their data expertise to influence decision-making in the research domain.

About Role

The Data Science Process Optimization Lead will be responsible for facilitating the governance and execution of large data science projects and overseeing data science teams. This role involves collaboration with technical and product teams to deliver new capabilities. The position requires a combination of leadership, management, and ownership of data science processes, monitoring data science projects closely, and contributing directly to the organization's success.

Responsibilities

• Data Science Governance Process Monitoring and Optimization: Gaining comprehensive knowledge of the ELS-wide data science governance process. Identify potential improvements and implement optimizations by collaborating with all relevant stakeholders and their teams to adopt the process, and leading optimization change programs.
• Awareness of the Data Science Governance process: Collaborating with our Global Communications teams to effectively communicate and implement the principles of the Data Science Governance Process within Elsevier; Partner with our Global Training teams to develop and deliver training materials designed to onboard our Data Science teams and relevant stakeholders to the optimized Data Science Governance processes.
• Stakeholder Management: Providing regular updates to Elsevier leadership groups on data science compliance and governance processes. Support external audit of the AI governance process and work towards compliance with international standards, such as ISO42001 certification for 2025/6.
• Project Deliveries: Managing high-value projects from start to finish. Work with engineering, product, and business teams to deliver on time, meet quality standards, and follow Data Science Governance processes.

Requirements

• Minimum of 5 years of experience working with process optimization in a large organization
• Experience with monitoring and managing end-end data science projects will be highly appreciated
• Awareness/ interest in Responsible AI, with up-to-date knowledge of the AI governance landscape
• Strong communication and interpersonal skills, with the ability to collaborate effectively across departments.
• In-depth knowledge of standards around AI and DS design, development and deployment of solutions
• Proven experience in managing and leading high-performing data science teams will be considered as an advantage.
• Results-oriented mindset with a focus on delivering impactful projects by adhering to business policies, and standards

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. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

• 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

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Dutch Share Purchase Plan
• Annual Profit Share Bonus
• Comprehensive Pension Plan
• Home, office or commuting allowance
• Generous vacation entitlement and option for sabbatical leave
• Maternity, Paternity, Adoption and Family Care leave
• Flexible working hours
• Personal Choice budget
• Variety of online training courses and career roadshows
• Wellbeing programs and gym facility in the office
• Internal communities and networks
• Various employee discounts
• Recruitment introduction reward
• Work from anywhere
• Employee Assistance Program (global)
• Annual Event

About Data Science at Elsevier

Elsevier is one of the world’s leading publishers of trusted scientific, technology, and medical content. Building on that foundation of content, we leverage data science and AI to deliver knowledge and analytics products that advance science and improve healthcare outcomes. Therefore, an efficient, streamlined, and optimized data science development process is key to sustaining innovation and business growth, especially with the opportunities ahead with GenAI. Elsevier is committed to adhere to our RELX Responsible AI Principles, for the development and deployment of all of our AI solutions.

About Us

Elsevier is a global information analytics business that helps institutions and professionals advance healthcare, open science and improve performance for the benefit of humanity. We help researchers make new discoveries, collaborate with their colleagues, and give them the knowledge they need to find funding. We help governments and universities evaluate and improve their research strategies. We help doctors save lives, providing insight for physicians to find the right clinical answers, and we support nurses and other healthcare professionals throughout their careers. Elsevier provides digital solutions and tools in the areas of strategic research management, R&D performance, clinical decision support, and professional education; including ScienceDirect, Scopus, SciVal, ClinicalKey and Sherpath. Elsevier publishes over 2,500 digitized journals, including The Lancet and Cell, 38,000 e-book titles and many iconic reference works, including Gray’s Anatomy. Elsevier is part of RELX Group. With a wide range of technology jobs, commercial and business jobs, and graduate jobs, there is a part for everyone to play. We need talented people to help us inspire ground-breaking research.

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