Data Engineer

Key Responsibilities

Business Understanding & Process Analysis

• Engage with business teams to understand workflows, challenges, and improvement opportunities.
• Document and map existing business processes and pain points.
• Identify opportunities for automation, AI augmentation, and process optimization.

AI Solution Coordination

• Work closely with AI solution partners and IT teams to translate business requirements into technical specifications.
• Facilitate discussions between stakeholders to ensure alignment on objectives, scope, and outcomes.
• Review and validate AI solution designs, ensuring they meet business needs and compliance standards.

Project Management & Communication

• Act as the main liaison between business stakeholders and technology vendors.
• Track project progress, manage timelines, and escalate issues proactively.
• Prepare and deliver progress reports, presentations, and demos to management teams.

Change Management & Adoption

• Support training, onboarding, and user adoption of new AI-enabled solutions.
• Gather feedback from users and ensure continuous improvement.

Data Engineering

• Spearheaded data architecture initiatives for cloud and on-premises environments, ensuring robust and scalable solutions.
• Led the design and implementation of data models, data pipelines, and ETL processes, optimizing data flow and accessibility.
• Automate Data visualization by Development using Power BI and User Training

Preferred Candidate:

• Bachelors degree in business administration, Information Systems, Computer Science, or related field (MBA preferred).
• 10-15 years of experience in business analysis, digital transformation, or IT coordination roles, includes 3-5 years of AI implementation role
• Proven experience working in cross-functional environments between business and technical teams.
• Exposure to AI / Machine Learning / Automation projects is highly desirable