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Data Analytics and AI Manager

Ardurra

Salary not specified
Oct 31, 2025
Dallas, TX, US
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Ardurra is seeking to develop its enterprise data foundation, build analytics and automation capabilities, and deliver measurable impact through data insights and AI-driven efficiencies.

Requirements

  • Hands-on expertise with Azure Data Services, Microsoft Fabric, Power BI, and Workato
  • Proven ability to build data lakes, pipelines, and visualization solutions from the ground up
  • Familiarity with automation, ML, and GenAI frameworks
  • Experience in machine learning/AI/Gen AI models leveraging cloud environments preferred.
  • Experience in agile delivery preferred.

Responsibilities

  • Build and manage a centralized data lake on Ardurra’s Azure environment using Microsoft Fabric and related technologies.
  • Design and maintain data pipelines, ETL/ELT processes, and ensure strong data quality and governance.
  • Leverage Workato as the enterprise integration and automation platform to connect systems, streamline processes, and reduce manual effort.
  • Identify automation and AI opportunities to improve productivity across business functions.
  • Leverage Application Programming Interfaces (APIs) for integrations across a variety of platforms
  • Develop Power BI dashboards and reporting frameworks to enable real-time, data-driven decision-making.
  • Explore and prototype AI/ML and Generative AI use cases that can improve operational efficiency or enhance client and employee experience.

Other

  • Translate business priorities into actionable data and AI solutions across HR, Finance, Operations, Legal, and other functions.
  • Define and execute the data and analytics roadmap in alignment with the company’s digital transformation goals.
  • Balance strategy and delivery — able to design, build, and implement solutions end-to-end.
  • Partner with functional leaders to define KPIs and create actionable insight models.
  • Work closely with IT and business stakeholders to deliver measurable outcomes with a focus on speed, quality, alignment, and scalability.