Director of Data Science

Wolters Kluwer   •  

Princeton, NJ

Industry: Professional, Scientific & Technical Services


11 - 15 years

Posted 58 days ago

This job is no longer available.

We are searching for a leader for our Advanced Technology group who is passionate about applying leading-edge technologies to solve real-world problems and lead a data sciences team in areas such as Machine Learning, Deep Learning and Natural Language Processing (NLP).You will need to be a player-coach who can lead a team while being a hands-on active participant in next-gen capability development. You should be willing to take on challenges of unknown dimensions, working closely you're your engineering and architecture peers in Advanced Technology as well as with the business, customers, and developers. You will also need to have very strong technical skills in data sciences, a strong business acumen, and proven leadership capabilities.

Reporting to the SVP Advanced Technology, this role is part of the leadership team for the Advanced Technology group. The team is part of Global Platform Organization (GPO), a corporate level team providing advanced technology capabilities globally for Wolters Kluwer and is critical to driving effective innovation.


  • Lead a team to support applied data sciences including machine learning, deep learning and natural language processing
  • Support the AI Center of Excellence in the GPO, including development of best practices and strategic roadmaps for AI capabilities
  • Set the direction for the team to align with corporate, business and product strategic
  • Coordinate and collaborate with your architecture and engineering peers in Advanced Technology to deliver robust, scalable production ready solutions for AI
  • Collaborate effectively with other data science teams to ensure technology re-use, transfer new capabilities and drive innovation globally
  • Build the architecture, infrastructure and tools required to meet our current and future needs globally across WK
  • Develop novel algorithms and models in collaboration with business leaders, product managers, and software engineers to solve key business problems
  • Stay current on the emerging directions in AI-technologies and support the development of the advanced technology roadmap
  • Assess various machine learning frameworks, SaaS services and packages where applicable to allow the team to focus on IP driving developments
  • Identify and work with partners to drive scalable approaches for building advanced technology solutions

Qualifications Education:
* PhD or MS degree in Computer Science, Engineering, Mathematics or equivalent.


  • 10+ years work experience in advanced technical domains
  • 5+ years work experience in data sciences
  • 5+ years experience with various machine learning techniques
  • 5+ years experience in team leadership, preferably at a Director+ level or equivalent
  • Experience with integrating machine learning, deep learning or NLP capabilities into products
  • Experience programming in languages such as Python, Java, or C/C+
  • Experience with engineering cloud-based data science platforms for production solutions across the full life cycle of deployment from training to post-deployment feedback
  • Experience developing production software using agile methodologies
  • Demonstrated ability to function in multi-disciplinary teams across technology and business
  • Strong communication skills and the ability to relay and simplify complex concepts for diverse audiences

Preferred Qualifications

The following is highly desired, but not required:

  • PhD with academic experience in NLP, machine learning or deep learning
  • Expertise in software development
  • Experience with containerized solutions
  • Experience with DevOps, continuous integration, test automation, Git flow
  • Experience with SPARQL and other no-SQL data bases a plus
  • Experience with XML, XML Schema, XSLT
  • Experience with semantics web technologies such as RDF, OWL, RDFa a plus
  • #19-20445