Manager, Business Intelligence & Artificial Intelligence

Job Overview: 

We are seeking a skilled and dynamic Technical Manager to join our organization, splitting their time equally between leadership and technical development roles. In this position, you will dedicate 50% of your efforts to managing and serving as the Scrum Master for our Reporting and AI teams, ensuring efficient project execution and team collaboration. The remaining 50% of your time will be focused on hands-on contributions, assisting in designing and developing innovative solutions for reporting and AI initiatives. The ideal candidate will bring expertise in Snowflake, AI theories, Large Language Models (LLMs), business analytics, and ideally ERP systems, combined with strong leadership and Agile methodology skills. 

Key Responsibilities: 

Management and Scrum Master Duties (50%) 

• Act as the Scrum Master for the Reporting and AI teams, facilitating Agile ceremonies including daily stand-ups, sprint planning, reviews, and retrospectives. 
• Manage team workflows, timelines, and deliverables, ensuring alignment with organizational goals and project priorities. 
• Foster a collaborative, self-organizing team environment, resolving impediments and promoting continuous improvement. 
• Coordinate with stakeholders to define project scope, prioritize tasks, and maintain a healthy product backlog. 
• Provide regular updates to leadership on team progress, risks, and mitigation strategies. 
• Mentor team members, supporting their professional growth and ensuring adherence to Scrum principles. 

Technical Development Duties (50%) 

• Collaborate with the Reporting and AI teams to design, develop, and implement solutions leveraging Snowflake for data management and analytics. 
• Contribute to the creation and optimization of AI-driven solutions, applying knowledge of AI theories and Large Language Models (LLMs) to enhance reporting capabilities. 
• Assist in developing business analytics tools and dashboards to provide actionable insights for stakeholders. 
• Participate in code reviews, troubleshooting, and solution architecture to ensure high-quality deliverables. 
• Support the integration of reporting and AI solutions with existing systems, including ERP platforms where applicable. 
• Stay current with emerging technologies and industry trends to recommend innovative approaches for the team. 

Qualifications: 

• Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. 
• Experience: 

• Minimum of 5-7 years in a technical role with at least 2-3 years in a management or Scrum Master capacity. 
• Proven experience with Snowflake for data warehousing and analytics. 
• Familiarity with AI theories and practical application of Large Language Models (LLMs). 
• Demonstrated expertise in business analytics, including developing reporting tools and dashboards. 
• Familiarity with ERP systems (e.g., SAP, Oracle, Microsoft Dynamics) is highly desirable. 

• Certifications: Scrum Master certification (e.g., CSM, PSM) strongly preferred; additional certifications in AI, data science, or Snowflake are a plus. 
• Technical Skills: 

• Proficiency in Snowflake and related data technologies (e.g., SQL, ETL processes). 
• Knowledge of AI frameworks and tools (e.g., TensorFlow, PyTorch) and LLM implementation. 
• Experience with business analytics platforms (e.g., Tableau, Power BI). 
• Familiarity with programming languages such as Python, R, or Java. 
• Understanding of ERP system integration and data flows (preferred). 

• Soft Skills: 

• Exceptional leadership and team management abilities. 
• Strong communication skills to bridge technical and business stakeholders. 
• Problem-solving mindset with a focus on delivering practical, scalable solutions. 
• Ability to multitask and thrive in a fast-paced, dynamic environment. 

Preferred Qualifications: 

• Experience managing cross-functional teams in a technology-driven organization. 
• Prior hands-on development experience in reporting or AI projects. 
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) alongside Snowflake.