COMPANY & CULTURE:

At GT’s Living Foods, we’re more than just a company – we’re a community passionate about creating a healthier, happier world. Over the last 30 years we’ve built a culture of inclusivity and authenticity, where our shared values create an environment that inspires you to do your best while achieving meaningful results. Our mission to transform health and happiness through potent, living foods has established us as the #1 Kombucha brand and a leader in the Health & Wellness space.

REQUIREMENTS:

• Minimum of 7–10 years of experience in enterprise data and analytics, with at least 3–5 years leading Power BI and data modeling initiatives.
• Bachelor’s Degree: (or equivalent work experience) in Computer Science, Data Analytics, Information Systems, or related field.

EXPERIENCE

• Proven experience designing enterprise reporting solutions using Power BI, including semantic models, DAX, and integration with Azure Data Lake and/or Dynamics 365 F&O.
• Demonstrated success working cross-functionally with business stakeholders, Business Systems Analysts, and data engineering teams to deliver strategic analytics solutions

GT’S EMPLOYEE EXPERIENCE (BENEFITS/PERKS):

• Health Insurance: Medical, Dental, Vision, and Life Insurance
• 401K with Matching
• Employee Assistance Program
• Discounts on the amazing GT’s product line
• Corporate Discounts with our partners through LifeMart (concert & sporting event tickets, cell phone service, gifts, restaurants, hotels, gyms, childcare, and more!)

JOB RESPONSIBILITIES:

We are seeking a seasoned Data Architect with deep expertise in Power BI and a passion for AI enablement. This critical role will lead the transformation of raw data into actionable insights, accelerate AI adoption, and support data-driven decision-making across our business. As a key member of the Business Intelligence & Analytics Team, the Data Architect will own the design, development, and governance of our Power BI environment. In addition to hands-on Power BI development, this individual will architect scalable, enterprise-grade reporting solutions, establish best practices, and lead a small team of BI developers and data analysts. The role involves close collaboration with cross-functional teams including IT, Sales, Finance, Marketing, Manufacturing, and Operations to deliver impactful dashboards and analytical tools that drive growth, operational efficiency, and commercial performance. Success in this role requires strong proficiency in enterprise data warehousing, along with expert-level knowledge of data modeling, data integration, visualization, best practices, and cloud-based storage solutions.

KEY ROLE COMPETENCIES

• Strategic Thinking: Develops and articulates a vision for enterprise analytics and AI adoption. Aligns reporting solutions with broader business strategy and adapts to emerging technologies and organizational priorities.
• Accountability: Owns deliverables related to reporting architecture, AI enablement, data governance, and platform stability. Sets clear expectations and leads a team toward measurable outcomes.
• Performance Leadership: Coaches and mentors, a team of analysts and developers, implements performance standards, and ensures ongoing team growth and delivery excellence.
• Navigating Ambiguity: Excels in fast-paced and evolving environments, especially when bridging business needs and technical realities across complex data ecosystems.
• Functional/Technical Skills
• Power BI Expertise: Deep proficiency in Power BI development, DAX, Power Query (M), data visualization best practices, and enterprise dataset governance.
• AI and Advanced Analytics: Hands-on experience enabling AI features within Power BI (e.g., Copilot, Smart Narratives, Q&A) and exposure to Azure OpenAI, SynapseML, or ML integration pipelines.
• Data Integration & Modeling: Strong understanding of Azure Data Lake Gen2, Synapse Analytics, and data modeling for complex domains like make-to-order manufacturing, financials, and supply chain.
• Governance & Enablement: Experience implementing data governance, RLS, self-service frameworks, certified datasets, and training programs to support scalable BI adoption.
• Project & Portfolio Management: Skilled in managing reporting and AI projects from scoping to delivery. Familiarity with Agile, Scrum, or Kanban methodologies.
• Stakeholder Engagement: Strong collaboration skills with functional leaders, analysts, and end-users to translate requirements into technical solutions.
• Certifications: (Preferred)
• Microsoft Certifications:
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• Microsoft Certified: Power BI Data Analyst Associate (PL-300)
• Microsoft Certified: Azure Enterprise Data Analyst Associate (DP-500 retired) or Microsoft Certified: Fabric Analytics Engineer Associate (DP-600 current)
• Microsoft Certified: Azure Data Fundamentals (DP-900)
• Project & IT Management:
• Certified Scrum Product Owner (CSPO), PMP, or Agile Certified Practitioner (ACP)
• ITIL v4 Foundation (for service delivery alignment)