Artificial Intelligence System Analyst

About Us

Fortune Brands began its journey as a publicly traded company (NYSE: FBHS or “Fortune Brands Home & Security, Inc.”) in 2011, as a successful spin-off from Fortune Brands, Inc. Since then, we have grown organically and through acquisitions, and have delivered strong financial performance. We have also proven our resilience and execution excellence. We outperformed and expanded in our categories through the housing market recovery, and executed our strategies through global disruptions, while refining our portfolio for the future.

On December 14, 2022, we completed the separation of our Cabinets business, enabling us to pursue our unique and exciting path for accelerating growth and productivity.

Today, we are a new company: Fortune Brands Innovations, Inc. (NYSE: FBIN). We are focused on driving our brand, innovation and channel leadership, and winning in supercharged categories.

Why work with us?

You will gain the flexibility to balance your life at every stage with Total Rewards that support your physical, emotional, and financial well-being. We also support an inclusive and diverse culture where everyone is encouraged and empowered to be authentic, and where our differences and unique perspectives are a key strength

The AI Systems Analyst is responsible for partnering with business stakeholders to identify use cases, collect requirements, and deliver AI-enabled solutions that improve efficiency, productivity, and decision-making across the enterprise. This role includes business analysis skills with hands-on solution development, ensuring that AI opportunities are translated into practical, secure, and scalable solutions.

The scope of work includes requirements gathering, prototyping, integration, and deployment of AI-enabled applications using Microsoft Power Platform, Microsoft Copilot, Azure AI services (including Azure AI Foundry/Studio, Cognitive Services, and Azure OpenAI), and other emerging tools. Through close collaboration with IT, PLM, and Business Systems teams, the AI Systems Analyst will help embed AI capabilities into core business processes.

• Identify, evaluate, and help prioritize AI and automation use cases.
• Collect and translate business requirements into detailed technical specifications and solution designs.
• Build, configure, and deploy AI-enabled applications and workflows using Power Platform, Microsoft Copilot, Azure AI Foundry/Studio, and Cognitive Services.
• Develop scripts, connectors, and API integrations to extend platform functionality where required.
• Prototype and implement AI solutions such as chatbots, copilots, document intelligence, predictive analytics, and generative AI use cases.
• Collaborate with IT and enterprise system owners to integrate AI solutions into existing platforms and processes.
• Ensure solutions are scalable, secure, and compliant with enterprise governance standards.
• Provide training, documentation, and knowledge transfer to business users to drive adoption.
• Monitor solution performance and refine based on user feedback and evolving business needs.
• Contribute to the ongoing development of the enterprise AI technology roadmap and best practices.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field is required.

• Minimum 5 years of experience in business systems analysis, solution development, or enterprise application integration.
• Proven ability to gather requirements, map processes, and translate them into functional AI-enabled solutions.
• Strong hands-on experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI), Microsoft Copilot, and Microsoft Teams integrations.
• Experience with Azure AI ecosystem: Azure AI Foundry/Studio, Azure OpenAI, Cognitive Services, and related tools.
• Familiarity with Microsoft Fabric or other modern Microsoft data/AI platforms preferred.
• Proficiency with one or more programming/scripting languages (Python, JavaScript, C#, or equivalent).
• Knowledge of enterprise system integration, APIs, and data flow best practices.
• Experience with non-Microsoft AI tools, frameworks, or platforms (e.g., LangChain, Hugging Face, Google Vertex AI, AWS Bedrock) is a strong plus.
• Demonstrated success in rapidly prototyping and iterating solutions in a dynamic environment.
• Excellent communication skills with both technical and non-technical stakeholders.
• Strong problem-solving skills with the ability to quickly learn new tools and environments.
• Ability and willingness to travel up to approximately 10% of the time, both domestically and internationally.