- We're looking for an experienced Process Data Consultant to play a critical role in delivering our solutions.

- In this customer-facing role, you will own end-to-end deployments, combining technical expertise and business acumen to ensure successful adoption of Skan.ai's platform.

- You'll act as the trusted advisor for customers-mapping processes, analyzing data, and -driving outcomes that improve performance.

Key Responsibilities:

Solution Delivery & Customer Engagement.

- Lead full-cycle implementations-requirements gathering, process mapping, deployment planning, and execution.

Configure and operationalize Skan.ai solutions, ensuring smooth integration with customer environments and alignment with business goals.

- Serve as the primary technical contact and product expert, providing proactive guidance, timely support, and issue resolution.

- Collaborate with internal teams (Product, Engineering, Sales, Customer Success) to deliver projects on time, with clear ownership of milestones and deliverables.

- Present insights and recommendations to stakeholders through reports, dashboards, and executive briefings.

- Act as a Subject Matter Expert (SME), enabling customer Centers of Excellence (COEs) and partners through training and knowledge sharing.

Data Analysis & Troubleshooting.

- Analyze process data to identify trends, inefficiencies, and opportunities for improvement.

- Conduct root cause analysis using advanced data analytics, log analysis, and process -insights.

- Proactively monitor system performance, troubleshoot issues, and manage escalations to ensure minimal disruption.

- Partner with Product and Engineering teams to resolve technical challenges and improve solution robustness.

Documentation & Knowledge Sharing.

- Maintain detailed documentation of configurations, requirements, and process maps to support scalability and knowledge transfer.

- Collaborate with customer SMEs to validate insights and ensure outcomes align with business objectives.

- Stay up to date on emerging technologies, industry trends, and best practices in process intelligence and data analytics.

Qualifications & Skills.

- Education: Bachelor's degree in engineering, Data Science, or related field.

- Experience: 5+ years in consulting, process improvement, ideally with process intelligence, - process mining, RPA, or BPM tools.

- Strong data analysis and interpretation skills (statistics, validation, reporting).

- Hands-on experience with IT systems (Windows, Linux), and basic web technologies (HTML, CSS).

- Business Skills: Proven ability to translate process data into actionable insights that align with business objectives.