Sr. AI Analytics Engineer
Helen of Troy3 days ago
Dallas, TX, USASenior
Responsibilities
- Design, build, and deploy AI-enabled analytics solutions using Microsoft AI technologies.
- Develop AI assistants, copilots, RAG solutions, semantic search solutions, agentic workflows, and AI agents that securely use enterprise data.
- Enable 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.
- Use Python and analytics tooling to prototype, validate, and operationalize AI-enabled analytics solutions.
- Support forecasting, anomaly detection, marketing analytics, social listening, and enterprise insight-generation initiatives.
- 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 deliver high-value AI and analytics use cases.
- Create reusable solution patterns, technical documentation, and best practices for enterprise AI adoption and scalability.
- Lead technical workstreams and influence delivery without direct people-management responsibility.
- Travel domestically up to 5%.
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.
- At least 2 years of hands-on AI or GenAI solution delivery experience, including production deployment of enterprise AI solutions.
- 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 governance, monitoring, observability, evaluation frameworks, guardrails, and secure deployment practices.
- Strong proficiency in Python and SQL.
- Experience 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.
- Preferred master’s degree in a technical, quantitative, or analytics-related field.
- Preferred experience with Model Context Protocol, Semantic Kernel, LangChain, LangGraph, agent frameworks, tool-calling, plugins, or multi-agent orchestration.
- Preferred experience with Microsoft Fabric, Power Platform, Power Automate, Logic Apps, Azure DevOps, MLOps, LLMOps, or AI observability tools.
- Preferred 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 is preferred.
- Familiarity with Snowflake AI capabilities including Cortex, Cortex Analyst, Cortex Search, Snowpark, Snowflake ML, or Snowflake Intelligence is preferred.
- Experience in consumer products, retail, ecommerce, supply chain, marketing analytics, or enterprise BI environments is preferred.
Benefits
- Healthcare, dental, and vision benefits.
- Paid holidays, paid time off, paid parental leave, and paid charitable volunteer leave.
- 401(k) with company match.
- Basic life insurance, short-term disability, and long-term disability coverage.
- Educational assistance.
- Hybrid work model with in-office collaboration Tuesday through Thursday and remote work option Monday and Friday, subject to business needs and manager expectations.
- Work locations include El Paso, Texas; Plano, Texas; Arlington, Tennessee; and Marlborough, Massachusetts.