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Mid-level experience, metro location, and broad automation/AI skillset attract moderate applicant competition.
Automation and AI skills transfer across industries, though enterprise-system experience adds moderate domain bias.
Explicit 3–6 years plus mandatory automation tools, scripting, and BI/AI skills increase screening strictness.
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Lead transformational work design to optimize enterprise workflows integrating automation and human judgment with AI as a core operational component.
Develop, configure, and integrate automation workflows using tools like UiPath, Power Automate, including AI/ML components, and monitor automation and model performance.
Design and implement measurement frameworks and change management strategies to track impact, drive adoption, and scale intelligent automation solutions across the organization.
3–6 years of experience in process analysis, automation engineering, data analysis/BI, applied AI/ML, or change management.
Experience with automation platforms and API integrations (e.g., UiPath, Power Automate).
Proficiency in data tools including Excel; SQL/BI skills preferred; scripting skills required (Python strongly preferred).
Flexible to work in 3PM-12AM IST shift.
Strong ability to structure ambiguous problems and translate business requirements into practical automation workflows across the full automation lifecycle.
Experience working in cross-functional, asynchronous global teams collaborating on AI-enabled workflow design and deployment.
Background or demonstrated aptitude in integrating AI/ML technologies with automation in enterprise systems and measuring human contribution alongside efficiency.