- Employment
- Full-Time
- Seniority
- Director
- Department
- IT & Technology Systems
- Posted
- Nov 9, 2026
About Chalhoub Group
Founded in 1955 by Michel and Widad Chalhoub, Chalhoub Group has grown into a leading partner for luxury across the Middle East. Headquartered in Dubai, the family-owned group brings together international maisons and homegrown concepts across fashion, beauty and lifestyle, combining regional expertise with retail and distribution capabilities. As an employer, it offers career opportunities spanning client experience, brand management, merchandising, logistics and digital innovation. Its multicultural environment connects employees with the evolving expectations of luxury consumers, while its emphasis on learning, entrepreneurship and sustainability provides a distinctive setting for professionals seeking to shape the region’s luxury landscape.
Chalhoub Group is hiring a Director of Data Engineering in Bengaluru to lead its Group-wide Data and AI Engineering strategy, organization, and enterprise platform across brands and joint ventures. The role oversees data governance, platform reliability and cost efficiency, AI/ML foundations, scalable data pipelines, and engineering standards, while developing a distributed engineering leadership team.
Role & Responsibilities
- Lead the Group-wide Data and AI Engineering strategy, roadmap, and execution, building a scalable, reliable, secure, and cost-efficient enterprise data platform for analytics, reporting, AI/ML, and operational data use cases across brands and joint ventures.
- Build and lead a high-performing Data Engineering organization, setting engineering standards, platform capabilities, operating models, and technical direction to support trusted data delivery at scale.
- Define and own the Data and AI Engineering strategy and technology roadmap across ingestion, transformation, orchestration, storage, processing, data quality, observability, scalability, and platform modernization.
- Set technical leadership, engineering capabilities, career development, and measurable KPIs for reliability, quality, delivery, performance, and cost across the Data and AI Engineering organization.
- Develop the engineering leadership team by mentoring Engineering Managers and Senior Managers and advancing capability across the function.
- Own the evolution, reliability, performance, and cost efficiency of the enterprise data platform, including Google BigQuery, Apache Airflow, dbt, Airbyte, and associated cloud data capabilities.
- Ensure platforms, pipelines, and datasets comply with the Data Governance framework, including data ownership, quality, metadata and lineage, Master Data Management, access controls, privacy, and data residency.
- Drive the Group's AI/ML technology strategy, establishing data and platform foundations for scalable AI/ML capabilities, including Vertex AI and Azure OpenAI, alongside model governance and responsible AI practices.
- Lead development of scalable batch, near-real-time, and streaming data pipelines integrating Salesforce B2C Commerce, SAP/Oracle ERP, Infor WMS, CRM, customer platforms, mobile, and e-commerce applications.
- Establish and enforce Data Engineering and DataOps standards covering CI/CD, automated testing, data quality, observability, data contracts, infrastructure-as-code, incident management, engineering governance, and production reliability.
Qualifications
- At least 15 years of experience directing enterprise data governance, MDM, and data product delivery in large-scale, multi-brand retail, e-commerce, or CPG environments.
- Proven experience leading complex data migration and systems integration, extracting data from monolithic platforms such as Salesforce B2C, Oracle, SAP EBS, and legacy WMS into modern cloud warehouses.
- Deep technical knowledge of Google BigQuery, Looker, Apache Airflow, dbt, and Airbyte, with familiarity with AI/ML platforms including Vertex AI and Azure OpenAI, and responsible AI practices.
- Strong experience establishing DataOps and engineering practices, including CI/CD, automated testing, observability, data quality, lineage, infrastructure-as-code, security, production reliability, and cloud cost optimization.
- Proven matrix leadership of distributed, multi-location teams, including business-facing analysts in Dubai and offshore data engineering teams in Bangalore; able to collaborate with and challenge senior business stakeholders, brand directors, and executive leadership.
- Education in a quantitative field such as Computer Science, Data Science, Statistics, or MIS; Master's degree or MBA in Business Analytics.
Skills
Experience
At least 15 years directing enterprise data governance, MDM, and data product delivery in large-scale, multi-brand retail, e-commerce, or CPG environments.
Education
Education in a quantitative field such as Computer Science, Data Science, Statistics, or MIS; Master's degree or MBA in Business Analytics.
Workplace
This position is based in Bengaluru, Karnataka, India.
Explore jobs in India.
Benefits
Health care, child education contribution, remote and flexible working policies, employee discounts, learning and development opportunities, and exposure to different assignments within the role or through internal mobility.
Culture
Chalhoub Group combines its heritage as a family-owned business with the dynamism of the Middle East’s luxury sector, fostering a multicultural workplace rooted in collaboration and long-term relationships. Its culture emphasizes continuous learning, entrepreneurial initiative and excellence in customer experience, encouraging employees to develop their expertise while contributing to the evolution of luxury retail.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.