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Data Automation Solution Expert; RPA​/UiPath - Remote - Octopus

Remote / Online - Candidates ideally in
Saudi Arabia
Listing for: ROBUSTA
Contract, Remote/Work from Home position
Listed on 2025-11-28
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below
Position: Data Automation Solution Expert (RPA/UiPath) - Remote - Octopus - Immediate hire

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group
, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada
. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

Currently, we are hiring a Data Automation Solution Expert for one of our partner organizations in KSA on a 1-year contract
, offering the opportunity to contribute to exciting projects within a dynamic and forward‑thinking environment.

Main Responsibilities
  • Lead the design and implementation of the enterprise‑wide Data Automation Solution (DAS) roadmap and strategy.
  • Identify, analyze, and document business processes suitable for automation using process mining and assessment tools.
  • Define automation architecture, governance models, and technical standards for scalable and secure solutions.
  • Oversee the development of DAS bots
    , ensuring scalability, reliability, and maintainability.
  • Integrate automation solutions with enterprise systems such as CRM, ERP, finance, and core insurance platforms.
  • Design API‑based integrations and orchestration layers for seamless workflow automation.
  • Ensure compliance with Saudi data regulations (PDPL, NDMO) in all automated processes.
  • Implement security controls, audit trails, and data protection measures in automation workflows.
  • Establish automation testing frameworks
    , QA processes, and exception‑handling procedures.
  • Create reusable automation components, libraries, and monitoring dashboards
    .
  • Collaborate with the Data Science team to integrate AI/ML models (OCR, NLP, predictive analytics) into automation.
  • Provide training, mentorship, and guidance to DAS developers and business analysts.
  • Document detailed solution architecture, technical designs, and operational procedures
    .
  • Support the establishment of an Automation Center of Excellence (CoE) and drive continuous innovation.
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