Sr. AI Analytics Engineer

Helen of Troy•Marlborough, MA

4d•Hybrid

About The Position

Join our IT team at Helen of Troy and make an immediate impact on our trusted brands: OXO, Hydro Flask, Osprey, Honeywell , PUR , Braun , Vicks , Hot Tools, Drybar , Curlsmith , Revlon , and Olive & June . Together, we build innovative and useful products that elevate people's lives everywhere every day. Look around your home, and you'll find us everywhere, in your kitchen, living room, bedroom, and bathroom. We are already making your everyday lives better. We are powered by knowledgeable, enthusiastic, and forward-thinking people committed to developing a culture of inclusion. Whether you are just starting your career or in need of a challenge, we recognize, develop, and empower talent! The Senior AI Analytics Engineer will help drive the adoption and delivery of AI-enabled analytics solutions across the enterprise. This role combines Microsoft AI technologies, business intelligence, analytics engineering, and modern data platforms to improve decision-making, automate insight generation, and accelerate business value. Design, build, and deploy AI-enabled analytics solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft 365, Microsoft Graph, and related Microsoft AI technologies. Develop AI assistants, copilots, Retrieval-Augmented Generation (RAG) solutions, Agentic AI workflows, and AI agents that securely leverage enterprise data and knowledge assets. Enable AI-assisted analytics and BI capabilities, including natural language querying, automated insights, narrative reporting, KPI explanations, proactive alerts, and business recommendations. Integrate AI solutions with Power BI, semantic models, governed datasets, enterprise APIs, and modern cloud data platforms. Utilize Python and modern analytics tooling to prototype, validate, and operationalize AI-enabled analytics solutions. Support advanced analytics initiatives including forecasting, anomaly detection, marketing analytics, social listening, and enterprise insight generation. Define and implement AI evaluation frameworks, observability, monitoring, guardrails, security controls, and deployment standards. Partner with business stakeholders, BI teams, data engineering teams, and platform owners to identify and deliver high-value AI and analytics use cases. Create reusable solution patterns, technical documentation, and best practices to support enterprise AI adoption and scalability.

Requirements

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, Analytics, or a related technical field.
8+ years of experience delivering enterprise analytics, BI, data, cloud, software, automation, or AI solutions.
2+ years of hands-on AI / GenAI solution delivery experience, including experience deploying enterprise AI solutions into production.
Hands-on experience with Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft Graph, Microsoft 365, Azure AI Search, or similar enterprise AI technologies.
Experience building AI assistants, copilots, RAG solutions, semantic search solutions, AI agents, or AI-enabled business workflows.
Experience implementing enterprise AI solutions with appropriate governance, monitoring, observability, evaluation frameworks, guardrails, and secure deployment practices.
Strong proficiency in Python and SQL.
Experience working with Power BI, semantic models, governed datasets, enterprise reporting platforms, or BI analytics solutions.
Experience integrating AI or analytics solutions with enterprise data platforms such as Snowflake or comparable cloud data platforms.
Proven ability to lead technical workstreams and influence solution delivery without direct people management responsibility.
Ability to travel domestically up to 5%.

Nice To Haves

Master’s degree in a technical, quantitative, or analytics-related field.
Experience with Model Context Protocol (MCP), Semantic Kernel, LangChain, LangGraph, agent frameworks, tool-calling, plugins, or multi-agent orchestration.
Experience with Microsoft Fabric, Power Platform, Power Automate, Logic Apps, Azure DevOps, CI/CD, MLOps, LLMOps, or AI observability tools.
Experience with Jupyter Notebooks, Microsoft Fabric Notebooks, PySpark, Spark, or distributed data processing.
Working knowledge of statistical modeling, machine learning fundamentals, forecasting, anomaly detection, or model evaluation techniques.
Familiarity with Snowflake AI capabilities such as Cortex, Cortex Analyst, Cortex Search, Snowpark, Snowflake ML, or Snowflake Intelligence.
Experience in consumer products, retail, ecommerce, supply chain, marketing analytics, or enterprise BI environments.

Responsibilities

Design, build, and deploy AI-enabled analytics solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft 365, Microsoft Graph, and related Microsoft AI technologies.
Develop AI assistants, copilots, Retrieval-Augmented Generation (RAG) solutions, Agentic AI workflows, and AI agents that securely leverage enterprise data and knowledge assets.
Enable AI-assisted analytics and BI capabilities, including natural language querying, automated insights, narrative reporting, KPI explanations, proactive alerts, and business recommendations.
Integrate AI solutions with Power BI, semantic models, governed datasets, enterprise APIs, and modern cloud data platforms.
Utilize Python and modern analytics tooling to prototype, validate, and operationalize AI-enabled analytics solutions.
Support advanced analytics initiatives including forecasting, anomaly detection, marketing analytics, social listening, and enterprise insight generation.
Define and implement AI evaluation frameworks, observability, monitoring, guardrails, security controls, and deployment standards.
Partner with business stakeholders, BI teams, data engineering teams, and platform owners to identify and deliver high-value AI and analytics use cases.
Create reusable solution patterns, technical documentation, and best practices to support enterprise AI adoption and scalability.