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:
Bachelor's 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