Data Automation Solution Expert

Robusta Studio

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.

Experience & Knowledge:

• Minimum 5+ years of experience in data solutions design, architecture, automation, and delivery.
• Expertise in leading data automation platforms (e.g., Airflow, Google Dataflow, NiFi, UiPath, Blue Prism, Power Automate).
• Strong understanding of enterprise system integration, APIs, and web services.
• Proven experience in process analysis, optimization, and re-engineering.
• Knowledge of automation governance, control frameworks, and CoE establishment.
• Proficiency in Python, SQL, and JavaScript.
• Experience with cloud-native deployments (GCP, Azure, AWS).
• Understanding of containerization, microservices, and DevOps CI/CD practices.
• Familiarity with Intelligent Automation (IA) integrating AI/ML, OCR, ICR, and document processing technologies.
• Experience in insurance or financial data services is a strong plus.
• Strong technical documentation, communication, and stakeholder management skills.
• Proven ability to lead teams, manage complex implementations, and mentor junior developers.