Job Overview

Manages the design, development, and implementation of business intelligence projects and initiatives to enhance business strategic decision-making capabilities.

Job Requirements

• Managing the design, delivery, and maintenance of the business intelligence (BI) program to support business processes and priorities with minimal oversight from higher bands.
• Analyzing data and identifying requirements for business enhancement.
• Managing the team in application and mastery of Business Intelligence to perform data requirements gathering, analysis, profiling, modeling, development and testing.
• Managing the translation of business requirements into technical requirements with minimal support from higher bands.

Roles & Responsibilities

• Manage, mentor, and grow a team of Data Engineers and Visualization Experts, including performance management and career development.
• Foster a strong engineering culture focused on quality, ownership, collaboration, and continuous improvement.
• Set clear priorities, balance workloads across multiple initiatives, and ensure reliable delivery against commitments.
• Work closely with the Data Insights & Analytics (DIA) team, business partners, and stakeholders to identify reporting needs, metrics, data assets, and systems.
• Support data modeling and dataset creation using Databricks with Microsoft Fabric and Power BI, enabling self-service analytics and reporting.
• Serve as a data subject matter expert for datasets within the data lake, providing guidance to engineers and stakeholders.
• Act as a key anchor for data extraction, preparation, and hosting processes.
• Design, develop, and test architecture for data extraction, preparation, and integration.
• Ensure data quality, reliability, performance, security, and governance across the data ecosystem.
• Streamline data preparation and processes for maximum automation and efficiency.
• Guide best practices for Databricks architecture, Power BI reporting, data quality frameworks, testing, and analytics enablement.
• Partner with analytics teams to deliver scalable semantic models and enterprise reporting solutions.
• Work closely with business partners, product owners, and other stakeholders to translate business needs into scalable data solutions.
• Act as a bridge between technical teams and business functions to ensure alignment on priorities, scope, and outcomes.
• Contribute to the data and analytics roadmap, aligning platform investments with business strategy.
• Drive standardization, automation, and modernization of data pipelines and analytics workflows.

Desired Candidate

• 10+ years of experience in data engineering, reporting, or related roles, with 3+ years in a people‑management or technical leadership role.
• Proven experience managing teams of Data Engineers and Dashboard developers.
• Strong hands‑on experience with:
• Databricks (Spark, Delta Lake, Lakehouse patterns, Medalia Architecture)
• Python, PySpark Workbooks, Spark SQL & SQL Wearhouse
• Unity Catalog(data Governance, Lineage)
• Microsoft Fabric (including One Lake, Data Engineering / Data Warehouse experiences, and integration with Power BI)
• Cloud‑based data platforms and pipelines
• Strong problem‑solving skills and a result-oriented mindset.
• Excellent communication skills, with the ability to influence both technical and non‑technical stakeholders.
• Familiarity with Devops CI/CD Pipelines
• Exposure to advanced analytics, AI/ML use cases, or data science collaboration.
• Bachelor’s or Master’s Degree in Computer Science, Information Systems OR Commerce/MBA/BBA/B com/Experience with Finance Domain

Competencies