AI & Data Analytics Lead

We are looking for an AI & Data Analytics Lead to lead the company’s use of Artificial Intelligence, data, analytics, automation, and business intelligence .

This is a hands-on role for someone who sees AI as a fundamental part of how a modern company should operate—not simply as another technology or tool. The goal of this role is to identify opportunities across the organization where AI can improve how we analyze data, make decisions, automate processes, build reporting, work in Excel, interact with systems, and operate the business.

The ideal candidate combines strong data and BI skills with a deep understanding of modern AI tools and capabilities. You should be someone who naturally asks:

“Why are we doing this manually, and how can AI make this better?”

You will work across Finance, Operations, Marketing, Product, Technology, and other areas of the business to identify opportunities, build solutions, automate workflows, and create a more AI-enabled organization.

Key Responsibilities
AI Strategy, Implementation & Automation

·       Lead the company’s practical adoption and implementation of AI across business functions .

·       Identify opportunities where AI can eliminate manual work, improve decision-making, increase productivity, reduce errors, and create new capabilities.

·       Evaluate emerging AI technologies, tools, platforms, and models and determine how they can be applied to the business.

·       Build and implement AI-powered workflows rather than simply recommending AI tools.

·       Integrate AI into existing business processes, systems, reporting, analytics, and workflows.

·       Develop AI solutions that allow employees to interact with company data using natural language.

·       Use AI to automate recurring analysis, reporting, research, data preparation, reconciliation, forecasting, and other manual processes.

·       Identify opportunities to use AI for anomaly detection, trend identification, forecasting, classification, summarization, and predictive analytics.

·       Develop repeatable AI solutions that can scale across departments.

·       Establish best practices for responsible and secure use of AI with company data.

·       Stay current with rapidly evolving AI capabilities and continuously identify new opportunities to apply them.

AI + Excel

·       Transform how the company uses Excel by integrating AI into Excel-based analysis and workflows .

·       Develop AI-enabled Excel solutions that automate analysis, reporting, data manipulation, modeling, and repetitive tasks.

·       Connect Excel to Snowflake, APIs, BI platforms, and other data sources.

·       Leverage tools such as Microsoft Copilot, ChatGPT, Claude, APIs, Power Query, Power Pivot, VBA, Office Scripts, and other emerging technologies where appropriate.

·       Build workflows where users can ask questions of data and receive meaningful analysis without manually manipulating large datasets.

·       Automate recurring Excel reporting and eliminate unnecessary spreadsheet-based manual processes.

·       Identify opportunities to replace complex manual Excel processes with AI-enabled or automated solutions.

AI + Data & Business Intelligence

·       Use AI to fundamentally improve how the company accesses, analyzes, and understands its data.

·       Work extensively with Snowflake as a core data platform.

·       Write and optimize SQL queries and develop data models and datasets for analytics.

·       Use Tableau and other BI tools to develop dashboards and reporting.

·       Incorporate AI into dashboards and analytics so users can more easily understand and interact with information.

·       Develop natural-language or AI-assisted interfaces to company data where appropriate.

·       Use AI to identify trends, outliers, relationships, and insights that may not be obvious through traditional reporting.

·       Improve data quality and identify inconsistencies using automated and AI-assis