Unclassified - Lowell, MA

posted about 2 months ago

Full-time - Manager
Lowell, MA

About the position

The Manager, Data Platform Engineering at UKG will play a pivotal role in driving the engineering efforts that enable the enterprise-wide Data, AI, and Generative AI platform. This position is crucial for delivering business value and ensuring customer success through innovative data solutions. The individual will serve as the technical leader of a team of developers, actively participating in the design and development of features, particularly those related to AI and Generative AI capabilities. The manager will also be responsible for resolving defects and ensuring the delivery of high-quality releases and features. Critical decision-making regarding feature readiness and identifying areas for quality improvements will be essential aspects of this role, alongside the integration of AI and Generative AI technologies where applicable. In this role, the manager will oversee a team of development engineers working in an agile environment, ensuring that AI-driven solutions align with business goals. Key responsibilities include delivering a high-scale, high-reliability data platform, supporting tools, utilities, and AI-enhanced features. The manager will work closely with leadership to optimize the delivery of data insights, leveraging AI technologies to enhance business value. Empowering other product and business teams to grow their analytics and AI capabilities will be a priority, supported by a centralized and flexible data platform. The manager will also be tasked with delivering SaaS platforms and managed services that meet business needs and drive customer success, while keeping pace with the evolving business environment, technology advancements, and data innovation, including AI, to optimize data value and mitigate risks.

Responsibilities

  • Deliver a high-scale, high-reliability data platform and supporting tools, utilities, and AI-enhanced features.
  • Improve product quality through best-in-market engineering practices, including the integration of AI and Generative AI tools.
  • Partner closely with leadership to optimize the delivery of data insights, leveraging AI technologies to enhance business value.
  • Empower other product and business teams to grow their analytics and AI capabilities, supported by a centralized and flexible data platform.
  • Deliver SaaS platforms and managed services that align with business needs and drive customer success.
  • Keep pace with the evolving business environment, technology advancements, and data innovation, including AI, to optimize data value and mitigate risks.

Requirements

  • 7+ years of experience with increasing responsibility leading a data-related team within a complex global business environment, with exposure to AI and Generative AI technologies.
  • Proven experience in delivering SaaS platforms and managed services.
  • Bachelor's and/or Master's Degree in Data Science, Computer Science, or equivalent, with a focus on AI and machine learning.
  • Experience designing and implementing data-centric solutions, including AI-driven approaches.
  • Strong customer focus (internal and external), with an understanding of customer centricity, AI-enhanced personalization, and design thinking to drive solutions.
  • Extensive experience building and managing a diverse and inclusive team environment, with a strong commitment to respect, equality, collaboration, and teamwork.
  • Demonstrated ability to hire, develop, lead, motivate, performance manage, and coach a cross-section of data, AI, and technology professionals and managers.
  • Highly technical, confident at the operational management level, and comfortable in an AI-integrated engineering organization.
  • Experience with highly sensitive data, maintaining security as a top priority, and understanding big data, AI, and technology at scale.

Benefits

  • Adoption and surrogacy assistance
  • Tuition reimbursement
  • Wellness programs
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