AI Analytics Architect for Enterprise Insights

Helen of Troy; Dallas (TX); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Salary + Bonus

Healthcare

Dental

Vision

401(k) with company match

Paid Time Off

Paid Holidays

Paid Parental Leave

Educational Assistance

Job summary

Helen of Troy is seeking a Senior AI Analytics Engineer to design, build, and deploy AI-enabled analytics solutions using Azure AI Foundry, Copilot Studio, and Microsoft AI tools. The role involves integrating AI with Power BI and enterprise data platforms to deliver actionable insights and scalable workloads.

You will collaborate with BI, data engineering, and platform teams, shaping governance, observability, and deployment standards while traveling up to 5% domestically.

Qualifications

• 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 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%.

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.

Skills

Python

SQL

Azure AI Foundry

Copilot Studio

Azure OpenAI

Power BI

AI/GenAI deployment

Data analytics

Leading technical workstreams

Travel up to 5%

Education

Bachelor's degree in CS/DS/Statistics/Math/Engineering

Master's degree in technical/analytics field

Tools

Snowflake

Job description

Helen of Troy is seeking a Senior AI Analytics Engineer to design, build, and deploy AI-enabled analytics solutions using Azure AI Foundry, Copilot Studio, and Microsoft AI tools. The role involves integrating AI with Power BI and enterprise data platforms to deliver actionable insights and scalable workloads.

You will collaborate with BI, data engineering, and platform teams, shaping governance, observability, and deployment standards while traveling up to 5% domestically.