Product Manager - Data & Analytics (M/F)
Lisboa (Distrito de Lisboa)
há 5 dias
source : Empregos Online

Descrição da Função :

We are looking for a product manager to join our Content Acquisition Product Group in order to further our growing capabilities in data, analytics and the application of machine learning and AI to research publishing.

We work for an audience of millions of researchers across the world and offer a portfolio of products and services covering all aspects of publishing and how it supports research careers.

As the product manager of our internal data science team you would be responsible for :

  • Identifying most suitable data solutions incl. machine learning models to support and automate the publication process.
  • Enabling product teams to deliver value to the customer and the business
  • Working with engineering teams to create a reliable and scalable data infrastructure for an ecosystem of products.
  • Enabling product teams to analyse data and monitor KPIs.
  • Contributing to data-centric initiatives across the wider organisation
  • Partnering with external experts and suppliers to expand our own capabilities.
  • Requisitos :

    You will achieve...Within 3 months

  • Understand the current scope and priority of the work and identify the obvious gaps
  • Build relationships with colleagues and teams
  • Understand the main user needs
  • Meet the important stakeholders, learn the business area
  • Devise the next set of quarterly objectives for the data team
  • 3-12 months

  • Produce a vision and roadmap for the data team
  • Manage and prioritise incoming work
  • Bring a number of teams together around a plan for creating the right data infrastructure
  • Understand the analytics needs of other product teams and help them fulfil them
  • Take ownership of key data problems like author disambiguation
  • Build a relationship with our external partners
  • Develop the size and shape of the team as necessary to deliver on our goals
  • 12 months +

  • Grow our internal data capabilities and gradually reduce our need to partner externally.
  • Find new opportunities to apply data science, engineering and analytics to our business and improve the experience of the researchers who work with us.
  • Oferece-se :

    Food allowance, € 7,63 EUR per working day via meal card

    10% time, or hack day’

    Access to LinkedIn Learning via our internal learning and development platform

    Free access to all SN Publications

    Private health insurance for you and your partner and children if applicable Medis TOP + serious illnesses

    Personal accidents insurance for you

    Mobile device

    Travel costs for commute card up to max. € 40 per month

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