Data science is a crucial part of UKG. Our team builds statistical and machine learning models that support product features across the company, with the goal of empowering thousands of organizations and millions of employees to thrive.
We tackle problems in the fields of machine learning, natural language processing, document processing, sociology, and statistics.
and we're just getting started. We’re looking for a software engineering manager to join the team and help it grow. You will lead a team of data scientists and software engineers.
The team is distributed, working across multiple time zones, in an agile environment with daily stand-ups and regular releases.
This position requires excellent technical, tactical, and strategic leadership, along with a strong ability to communicate both within the team, and across the organization.
As part of the team, you will :
Support and grow a team of highly motivated people.
Focus on data-driven processes that lead to continuous improvement for the team.
Support the professional, technical, and personal growth of a diverse group of people, with a wide range of experiences.
Collaborate with the team to set the product and technical roadmaps, along with the plans for achieving them.
Work with your peers to help support and drive cultural changes across the organization.
Previous engineering leadership experience, preferably with a data science team
University degree in Computer Science, Statistics, Mathematics, preferably at the graduate level; or equivalent experience.
Passionate about people, processes, and technologies and with the ability to use that passion to inspire and motivate others.
Strong outcome-based work ethic with a sense of ownership, urgency, and drive and an unwavering commitment to do the right thing.
Proven leadership in facilitating complex discussions to achieve goals and solve problems.
An understanding of the importance of being data driven, and the value that KPIs can bring to continuous improvement and innovation.
A technical background in software engineering, data engineering, or data science.
Ability to build and maintain productive relationships with a diverse array of stakeholders and groups throughout the organization.
Experience in Lean-Agile development processes such as Kanban or Scrum.
Experience working in an enterprise-scale SaaS production environment.