Jobs / Malaysia / Abbott Laboratories
Sr. Manager, Data & Analytics Delivery
Abbott Laboratories · 🌍 Malaysia > Selangor : Imazium, No. 8, Jalan SS 21/37
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About the role
JOB DESCRIPTION: Position Summary Abbott is seeking an experienced and dynamic Sr. Manager, Data & Analytics Delivery to lead and grow a Malaysia and India based team supporting global Data Engineering, Business Intelligence, Data Platforms, Artificial Intelligence, and Advanced Analytics initiatives. This leader will serve as the primary people and delivery manager for resources operating within Malaysia and APAC time zones, partnering closely with leaders across the Global Information Management and Intelligent Automation Solutions and Advanced Analytics. The role will be responsible for building high-performing teams, driving execution excellence, developing talent, and ensuring successful delivery of critical data and analytics solutions that support business priorities across Abbott. The ideal candidate combines strong leadership skills with a solid technical understanding of modern data platforms, analytics, AI, and business intelligence solutions and thrives in a fast-paced, highly collaborative global environment. Key Responsibilities Delivery Leadership • Lead day-to-day operations of a Malaysia and India based Data & Analytics delivery organization. • Drive successful execution of projects supporting Data Engineering, Reporting, Advanced Analytics, AI, and Data Platform initiatives. • Ensure high-quality, timely delivery of solutions while meeting established business objectives and service commitments. • Collaborate with global stakeholders to prioritize work, manage capacity, and optimize resource utilization. • Establish and monitor operational metrics, delivery KPIs, and continuous improvement initiatives. Team Leadership & Talent Development • Recruit, develop, and retain high-performing technical professionals. • Provide leadership, coaching, mentoring, and career development support for team members. • Foster an inclusive, collaborative, and high-accountability culture. • Manage employee performance, succession planning, and workforce development activities. • Support scaling of the organization in alignment with business growth and strategic priorities. Data Engineering & Platform Enablement • Lead teams supporting enterprise data engineering and data platform initiatives. • Support development and maintenance of modern cloud-based data solutions. • Partner with global technology teams to implement best practices, standards, and governance processes. • Drive adoption of scalable and reusable development frameworks. • Support modernization efforts involving Databricks, Microsoft Fabric, Azure Data Services, and related technologies. Analytics & AI Solutions • Partner with Advanced Analytics leaders to support delivery of predictive analytics, machine learning, AI, and Generative AI initiatives. • Enable development of scalable analytics solutions that improve business decision-making and operational performance. • Support responsible AI practices, governance processes, and model lifecycle management. • Promote innovation and continuous learning across analytics and AI disciplines. Business Partnership • Collaborate with business stakeholders and IT partners to understand priorities and deliver value-driven solutions. • Serve as a trusted delivery partner across Commercial, Supply Chain, Finance, Quality, Manufacturing, and Corporate functions. • Support cross-functional initiatives requiring coordination across multiple global teams. • Ensure solutions align with security, compliance, quality, and regulatory requirements. Operational Excellence • Establish effective delivery processes, resource planning practices, and team operating models. • Identify opportunities to improve productivity, quality, and customer satisfaction. • Manage vendor and partner relationships when appropriate