Offer summary

Qualifications:

Proven leadership experience managing Data Scientists and cross-functional technologists., Extensive background in applied data science or AI/ML, preferably in healthcare tech., Strong understanding of AI/GenAI utilization and its impact in Health Markets., Expertise in advanced analytics methodologies, including natural language processing and generative AI..

Key responsabilities:

Collaborate with technology groups to guide and support product development in Health Markets.

Manage and grow a team of Data Scientists and AI engineers, including hiring contractors as needed.

Work closely with stakeholders to design solutions based on user problems and technical requirements.

Lead governance and prioritization meetings for current Health Markets projects and drive innovation initiatives.

Job description

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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