The Secure Power Division of Schneider Electric provides the world with reliable power and infrastructure through our hardware, software, and service products.  We are looking for a Head of Data Science who will lead our innovation in IoT with data, analytics, and data science.  Data Science will transform the way our customers see our products and services, producing energy efficiency, reducing waste, and improving customer experience and outcomes.

The Head of Data Science will drive innovation while influencing Secure Power strategy.  The Head of Data Science will also lead our data science team and build out an exceptional data organization and portfolio including descriptive, predictive, and prescriptive analytics with Internet-of-Things and enterprise applications.

Key Responsibilities

• Support strategy and roadmaps through thought leadership, solutions, and general expertise to support innovation, build cognitive solutions, and improve business performance.
  • Match business objectives with existing or emerging data science technologies and solutions
  • Build confidence in data science solutions to important customer problems
  • Find platforming opportunities - identifying analyses that would be valuable for multiple stakeholders at a time
  • Consider best practices in data governance and stewardship
• Drive engagements through a process which assesses objectives in business, strategy, innovation, foundational architecture, and other value-add sources weighed against potential costs.
  • Brainstorming innovative ways to use our unique device and enterprise data to answer business problems
  • Communicate with internal and external stakeholders, partners, and customers to understand the challenges they face and to provide solutions to such issues using data
  • Apply design thinking to create technical solutions that further business goals and align with corporate technology strategies, keeping in mind performance, reliability, scalability, usability, security, flexibility, and cost.
• Helping business stakeholders innovate and realize value from emerging technologies by leveraging design thinking to develop best in class innovative products.
  • Partner with a variety of teams to provide comprehensive solutions
  • Drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then hand over to product and software teams to deploy
• Lead and expand current Data Science team to explore and deliver solutions
  • Build out appropriate engineering and business roles within the data science organization to deliver and support offers
  • Evaluate our data science workflow, testing, and processes
  • Manage projects across multiple teams and offers