Advanced Business Intelligence Engineering Leader

Job Summary

The Generative Business Intelligence Engineering Leader will be a key member of the Business Intelligence (BI) team, accountable for leading the design, development, and implementation of advanced BI solutions.

This role will be responsible for leveraging emerging technologies to empower stakeholders with actionable insights. The leader will play a crucial part in modernizing our legacy BI platforms and fostering a data-driven culture.

Key Responsibilities:

• Design, develop, and deploy advanced AI-based BI solutions, including interactive dashboards, reports, and predictive models, leveraging Generative AI.
• Oversee the integration of data from diverse sources into a centralized data warehouse or data lake.
• Evaluate and implement GenAI-powered BI solutions that allow users to gain insights from data using natural language.
• Maintain GenBI-based tools to automate reporting and data analysis.

Strategic Support:

• Contribute to the development and articulation of the global BI strategy, aligning with our business objectives.
• Assist in driving the modernization of legacy BI platforms and the rationalization of fragmented reporting.
• Support the development of roadmaps and prioritize initiatives to continuously improve BI capabilities.

Stakeholder Engagement and Collaboration:

• Partner with business leaders across various functions to understand their BI needs and deliver tailored solutions.
• Communicate complex data and insights effectively to diverse audiences.
• Promote a data-driven culture by providing training and education on GenBI tools and best practices.
• Collaborate with security teams to ensure GenBI solutions are deployed safely and within regulatory compliance.

Innovation and Emerging Technologies:

• Stay current on the latest trends and advancements in BI and generative BI.
• Evaluate and pilot new technologies and tools to enhance our BI capabilities.
• Drive innovation in data visualization and reporting to improve the accessibility and usability of data insights.

Required Skills and Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Business Analytics, or a related field.
• Minimum of 15 + years of experience in business intelligence, data warehousing, and analytics, with some extensive experience leading projects or teams.
• Extensive experience with BI tools and platforms (e.g., Qlik, Tableau, Power BI, Looker, Cognos).
• Demonstrated experience with generative BI and its application in business intelligence.
• Deep understanding of data modeling, data warehousing concepts, and ETL processes.
• Strong understanding of cloud-based data and analytics platforms (e.g., Azure, GCP, AWS).
• Proficiency in SQL and other data manipulation languages.
• Familiarity with machine learning concepts and applications.
• Strong leadership, communication, and interpersonal skills.
• Excellent analytical and problem-solving abilities.
• Ability to translate complex data into actionable insights.
• Strong project management and organizational skills.
• Preferably have hands-on experience with LLMs (OpenAI, Hugging Face, LangChain).
• Proven ability to lead BI transformation initiatives.

Benefits:

Our company offers a comprehensive benefits package designed to support our employees' health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage.

• Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances.
• Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.
• Health and Welfare Benefits: We care about our employees' well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.

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