1 день назад
Process Transformation Consultant (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Process Transformation Consultant (AI) (Process Mining, Analytics, and Automation): Improving enterprise processes through process mining, analytics, intelligent automation, and GenAI-enabled transformation with an accent on workflow analysis, performance reporting, and business-value roadmaps. Focus on identifying automation opportunities, quantifying impact through KPIs and dashboards, and translating emerging AI capabilities into responsible client use cases.
Location: New York, Bellevue, Seattle, Atlanta, Chicago, San Francisco, or Dallas, United States
Company
Consulting work supports clients in developing strategies, services, products, and future operating models through process, analytics, automation, and AI transformation.
What you will do
- Document workflows and identify opportunities for process improvement and automation.
- Support process mining and process discovery initiatives, including data preparation, analysis, and insight generation.
- Build KPI reports, dashboards, and trend analyses to quantify transformation impact.
- Maintain automation backlogs and transformation roadmaps connected to business value.
- Support client workshops and synthesize findings into clear recommendations.
- Track emerging GenAI and automation trends and translate them into practical use cases.
Requirements
- 2–5 years of experience in process improvement, BPM, automation, or business analysis.
- Familiarity with Celonis, UiPath, SAP Signavio, or similar tools.
- Strong analytical mindset and comfort working with data.
- Strong communication and collaboration skills in client environments.
- AI and generative AI literacy, including responsible AI principles covering ethics, privacy, security, and governance.
Nice to have
- Lean Six Sigma certification.
- Exposure to core enterprise processes such as O2C, P2P, and AR/AP.
Culture & Benefits
- Opportunities to work across different roles, projects, industries, and areas of expertise.
- Continuous learning focused on tools, ways of working, and emerging AI capabilities.
- Collaboration across strategy, technology, data, and design disciplines.
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