Lead Assistant Manager

Job Summary

We are seeking an AI Engineer to support a large-scale BI Modernization initiative focused on transforming legacy reporting platforms into a modern cloud-based analytics ecosystem. The ideal candidate will possess strong expertise in Databricks, Python, SQL, and Power BI and have experience implementing AI-enabled analytics capabilities.

The engineer will work closely with business stakeholders, data engineers, analytics teams, and product owners to design scalable data solutions, develop AI-powered insights, and support the migration of reporting assets into a modern enterprise analytics platform.

Responsibilities

• Design and develop scalable data pipelines using Python, SQL, and Databricks.
• Build and optimize data models for analytics and reporting.
• Develop Power BI semantic models, datasets, dashboards, and executive reporting solutions.
• Implement AI and machine learning solutions to enhance business insights and decision-making.
• Work with Azure AI/OpenAI services to build intelligent analytics capabilities.
• Support migration from legacy BI platforms to Power BI.
• Collaborate with business teams to define KPIs, metrics, and reporting requirements.
• Ensure data quality, governance, lineage, and compliance standards are met.
• Optimize performance of large-scale reporting and analytical workloads.
• Participate in Agile ceremonies and contribute to solution architecture discussions.

Required Qualifications

• 8+years of experience in Data Engineering, Analytics Engineering, or AI Engineering.
• Strong hands-on experience with Python and SQL.
• Experience developing solutions in Databricks using PySpark.
• Strong experience with Power BI, DAX, and semantic modeling.
• Experience building ETL/ELT pipelines and cloud data platforms.
• Understanding of Machine Learning and AI concepts.
• Experience with Azure cloud services.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Banking, Cards, Retail Banking, or Financial Services experience.
• Experience with Azure OpenAI, Microsoft Copilot, or Generative AI solutions.
• Experience with Tableau-to-Power BI migration initiatives.
• Familiarity with data governance tools such as Collibra or Microsoft Purview.
• Experience implementing metric lineage and business KPI frameworks.
• Design and develop scalable data pipelines using Python, SQL, and Databricks.
• Build and optimize data models for analytics and reporting.
• Develop Power BI semantic models, datasets, dashboards, and executive reporting solutions.
• Implement AI and machine learning solutions to enhance business insights and decision-making.
• Work with Azure AI/OpenAI services to build intelligent analytics capabilities.
• Support migration from legacy BI platforms to Power BI.
• Collaborate with business teams to define KPIs, metrics, and reporting requirements.
• Ensure data quality, governance, lineage, and compliance standards are met.
• Optimize performance of large-scale reporting and analytical workloads.
• Participate in Agile ceremonies and contribute to solution architecture discussions.
• Graduate in Computer Science, Data Science, or related field. 8+ years of experience in data engineering or a related field.