Fast Facts

Join Elsevier as a Senior Manager in Data Science and Engineering, leading a team to drive AI innovation in the Health Markets vertical.

Responsibilities: Manage and grow a team of Data Scientists and AI engineers, collaborate with stakeholders to design solutions, and implement data science best practices and governance initiatives.

Skills: Leadership in Data Science, experience with AI/ML technologies, expertise in natural language processing and data analytics methodologies.

Qualifications: Extensive experience in applied data science or AI/ML, proven track record of innovation delivery, and ability to work independently in a cross-functional environment.

Location: Philadelphia, PA (Penn Center)

Compensation: Not provided by employer. Typical compensation ranges for this position are between $130,000 - $200,000.

Senior Manager Data Science and Engineering - Philadelphia

Do you consider yourself an inspirational leader of Technologists?

Are you looking for a leadership role whereby you can drive AI innovation with our Health Markets vertical

About the role, This Senior Manager position will work with their team to define and execute projects to develop and execute on best practices. You should be a methodological expert to enhance products and services developed and supported by the team. Your team of Data Scientists should function as change agents to insert best practices into workflows. We are not looking for an individual contributor in this role.

About the team, this team of Data Scientists is entrusted with driving innovation within our Health Markets business vertical. Through the utilization of LLM and AI, this team is further positioning Elsevier as a leader as we continue to deliver cutting edge products to market.

Responsibilities

• Working collaboratively with Health Markets technology groups (engineering, TIO & architecture) to guide and support HM product development.
• Managing and growing a team of Data Scientists, AI engineers, and ML engineers in HM Technology, including hiring and managing contractors as needed 
• Working closely with stakeholders to understand the user problem and closely with architecture and the technical team to design the solution.
•  Working collaboratively with other Data Science leaders to prioritize and resource projects in HM and contribute to cross-Elsevier best practices.  
• Collaborating with Architecture and Data Engineering on the design of AI systems with an emphasis on reusability 
• Implementing and support DS best practices including data science governance, Responsible AI policies, and anti-bias initiatives 
• Maintaining a current roadmap of current HM projects and lead governance & prioritization meetings with the HM businesses in collaboration with other HM data science orgs 
• Owning and driving the implementation of Automated Assessment of GenAI systems (LLM-as-a-judge, goldset comparison, etc) 
• Defining and implement data asset strategy (metadata standards, data set registry, etc) to enable monetization of analytics in partnership with the business 
• Leading a cross-functional group including product, commercial, sales, strategy to establish and refine a pipeline of innovation bets 

Qualifications 

• Current leadership of Data Scientists and ideally cross functional technologists.
• Proven track record of driving innovation and delivering products.
• Current and extensive experience in applied data science or AI/ML in a tech company, preferably in healthcare tech 
• Through understanding of the utilization of AI/GenAI and its impact in Health Markets
• Expertise in a relevant field such as natural language processing, information retrieval, or generative AI and serve as a technical SME for their team.
• Expertise with advanced analytics methodologies, AI/ML and predictive modeling, MLOps, generative AI, and RAG systems 
• Proven track record of being able to work independently and proactively engage with business stakeholders in collaborative, cross-functional initiatives 

Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world.

Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields.

In addition to publishing, Elsevier offers a suite of digital solutions and services to support researchers, scientists, and professionals in their work. They provide online platforms like ScienceDirect, Scopus, and Mendeley, which offer access to a vast repository of scholarly articles, research papers, and other scientific content. These platforms often serve as essential resources for software developers seeking to stay updated with the latest scientific advancements

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