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Abbott

Makes heart devices, glucose sensors and lab tests

Senior Data & Analytics Delivery Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSelangor, MalaysiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, Data Science, or a related field; a master's degree is preferred.
  • At least 8 years of experience in Data Engineering, Analytics, Information Management, Business Intelligence, or related disciplines.
  • At least 3 years of leadership experience managing technical teams.
  • Experience supporting global delivery organizations and distributed teams.
  • Experience in one or more of the following areas: Data Engineering, Data Platforms, Databricks, Microsoft Fabric, Azure Data Services, Business Intelligence and Reporting, Artificial Intelligence and Generative AI, Advanced Analytics, ETL and Data Integration, Cloud Technologies, or Power BI.
  • Strong people leadership and coaching capabilities.
  • Excellent communication and stakeholder management skills.
  • Ability to influence without direct authority across global organizations.
  • Strong problem-solving, planning, and organizational skills.

Responsibilities

  • Lead day-to-day operations of a Malaysia- and India-based Data and Analytics delivery organization.
  • Drive execution of projects supporting Data Engineering, Reporting, Advanced Analytics, AI, and Data Platform initiatives.
  • Ensure high-quality, timely solution delivery that meets 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.
  • 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 the organization in alignment with business growth and strategic priorities.
  • 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.
  • 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.
  • 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.
  • 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.
  • Drive continuous improvement and operational maturity across the delivery organization.
  • Within three years, help establish a strategic Data and Analytics delivery hub supporting global business priorities through Data Engineering Services, Analytics Development, AI and Generative AI Solutions, Data Platform Support, Business Intelligence and Reporting, and shared global delivery capabilities.
  • Build a highly engaged, scalable team recognized for technical excellence, innovation, operational efficiency, and business impact.

Desired Qualifications

  • Experience building and leading offshore or capability-center teams is highly desirable.
  • A master's degree is preferred.
  • Demonstrated success leading large-scale data and analytics projects.

About the Company

Abbott

Makes heart devices, glucose sensors and lab tests

Abbott makes medical devices, diagnostic tests, nutrition products and branded generic drugs for hospitals, laboratories, pharmacies and patients. Its best-known product is the FreeStyle Libre, a coin-sized sensor worn on the upper arm that tracks blood sugar around the clock without routine finger pricks. Its other lines run from heart valves, pacemakers and brain stimulators to lab analyzers, rapid tests and mail-in colon cancer screening kits, and Abbott earns money by selling these products to health systems, labs, retailers and consumers. The company was founded in 1888 by Chicago physician Wallace Abbott and is based in Abbott Park, Illinois.

Company size
10,001+
Company stage
IPO
Headquarters
Abbott Park, IL
Founded
1888

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