Job Description

Here at UKG, our purpose is people™. Our HR, payroll, and workforce management solutions help organizations unlock happier outcomes for all. And our U Krewers, who build those solutions and support our business, are talented, collaborative, and innovative problem-solvers. We strive to create a culture of belonging and an employee experience that empowers our people – both at work and at home. Our benefits show that we care about the whole you, from adoption and surrogacy assistance to tuition reimbursement and wellness programs. Our employee resource groups provide a welcoming place to land, learn, and connect with those who share your passions and interests. What are you waiting for? Learn more at

Overview Description:
Join a lean, fast-paced enterprise data & analytics team at the center of advancing our company’s data-driven culture. As a Solution Engineer for Data & Analytics, you’ll bring your business acumen, sharp analytical skills and strong technical expertise to design, develop and deliver enterprise-wide data solutions and insights that enables exceptional customer experience, exceptional employee experience and continued profitable growth.

As a Lead Solution Engineer for Data & Analytics, you will be accountable not only for the end-to-end design and delivery of complex data solutions ensuring their quality, reliability, and performance but also for mentoring peers and ensuring there’s alignment with strategic goals. This role requires strong collaboration cross-functionally with business stakeholders (Sales, Marketing, Relationship Management, Finance, Services, HR and Legal), Solution Managers, Data Scientists, Software Engineers and other team members to drive impactful results and accelerate our company’s growth.

The right individual will put our customers first, elevate their peers, be curious, open-minded, resourceful, collaborative, proactive, a critical analytical thinker, and be relentless in pursuit of desired outcomes.

Responsibilities

• Business Understanding: Deeply understand our business, systems, and data to develop solutions that solve complex business problems, meet stakeholder needs and accelerate their path to value.
• Stakeholder Relationships and Management: Build strong relationships with senior stakeholders to understand their business objectives and pain points fostering collaborative partnerships across the business. Provide clear communication to team members and business stakeholders related to requirements, issues, and solution delivery. Own and lead UAT sessions as well as business demos of new features and stories.
• Solution Development: Own the end-to-end technical design and development of scalable, reliable, and maintainable data & analytic solutions such as reports, metrics, scorecards, dashboards, KPIs, and self-service datasets that are widely adopted and drive action across the business.
• User Story Development: Transform business requirements into detailed functional requirements and document user stories following best practices. This includes writing clear acceptance criteria and definition of done for each story.
• Agile Practices: Work collaboratively as part of a scrum team and use Agile methodology to build and deliver solutions, ensuring efficient and effective development cycles.
• Collaboration: Collaborate with Business Stakeholders, Software Engineers, Data Scientists, Architects, Technical Project Managers, Enablement, and other Solution Engineers to execute various strategic programs.
• Mentorship: Provide technical mentorship and guidance to junior solution engineers, fostering a culture of learning and growth mindset. Provide input to business stakeholders on potential improvements to help transform UKG's business operations.
• Documentation and Knowledge Sharing: Lead efforts to document features, enhancements, and fixes thoroughly, contributing to training materials and knowledge transfer across teams. Promote proper interpretation of data and analytics results to educate and support self-service business intelligence.
• Quality Assurance and Testing: Build testable analytic solutions, oversee the definition and execution of test cases, provide solution demonstrations, and lead user testing sessions and black box testing, when applicable, that result in user acceptance as well as black box testing.
• Opportunity Identification: Identify strategic opportunities and communicate recommendations to senior leaders that can improve feature adoption, increase revenue, decrease costs, and/or mitigate risks across the business.
• Innovation: Be a thought leader and stay current with emerging technologies (ex. Generative AI) and industry trends, championing their adoption to drive innovation and productivity enhancements within Digital and across the business.
• Success Metrics: Lead the creation of success metrics and measurement processes to track benefits on project work.

Qualifications
Required Qualifications:

• Experience: 8+ years of data analytics work experience.
• Business Acumen: Strong business acumen with 5+ years of business experience in a large corporate environment.
• Leadership: Proven experience leading teams and managing large-scale projects.
• Technical Skills: Advanced SQL skills with 3+ years of experience in SQL and Relational Database systems; ability to write queries against large data warehouses (such as Google BigQuery, Microsoft Azure, Oracle) and understand efficient aggregation and display principles.
• BI Proficiency: Advanced proficiency with BI platforms (Power BI, Tableau, etc.) with 3+ years of report building and analysis.
• Analytical Skills: Proven analytical and problem-solving skills; process-oriented and metrics-driven.
• Data Visualization: Advanced knowledge of data visualization techniques.
• Communication: Excellent verbal and written communication skills with the ability to interact professionally with a diverse group of executives, managers, and subject matter experts.
• Teamwork: Works effectively within a team, under pressure and tight deadlines, while being well-organized.
• Adaptability: Flexible and adaptive to change, open-minded, curious, resourceful, and has a positive attitude.

Preferred Qualifications

• Business Analysis: Extensive experience in business analysis, including leading complex business requirements gathering and translating them into technical solutions.
• Cloud Technologies: Experience with Cloud technologies (Azure and Google Cloud).
• Enterprise Applications: Strong understanding of various enterprise applications (e.g., ERP, CRM, HRIS) and the ability to leverage these systems effectively to deliver robust data solutions.
• Data Product Development: Proven expertise in developing data products for cross-functional teams to self-serve insights.