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Deutsche Post · Maharashtra, India

General Manager- Digital Enablement

Maharashtra, IndiaDirectorExecutive & Management

Listed on Deutsche Post’s official careers site. Posted October 3, 2026. Check that it is still open and apply there.

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Job description

About us DHL Supply Chain India is a leading provider of integrated logistics solutions, specializing in warehousing, distribution, and supply chain management. With over 150+ facilities and 22,000+ employees nationwide, we excel in sectors like e-commerce, consumer goods, life sciences, and technology. Recognized as a Great Place to Work, we prioritize employee engagement and development. We are committed to a safe work environment, promoting Behaviour Based Safety (BBS) practices, injury prevention, and compliance with safety regulations, ensuring that safety is everyone's responsibility.

We embrace an equal opportunity workplace, fostering diversity and inclusion for all employees. Join us in shaping the future of logistics and discover limitless growth opportunities!

Responsibilities

Provide strategic leadership for AI, Generative AI, Data & Analytics, Digital Applications, Automation, and Digital Transformation initiatives. Develop and execute the digital enablement roadmap in alignment with DHL Supply Chain's overall business and technology strategy. Lead the adoption and implementation of Artificial Intelligence and Generative AI solutions to drive operational efficiency, innovation, and business value.

Strengthen Data & Analytics capabilities to enable data-driven decision-making across the organization. Oversee the development, implementation, and lifecycle management of scalable digital applications and products. Drive Intelligent Process Automation initiatives to improve productivity, process efficiency, and operational excellence. Lead digital transformation and innovation programs, ensuring successful adoption and measurable business outcomes.

Partner with business stakeholders to identify opportunities where AI, analytics, automation, and digital solutions can create measurable business value. Ensure effective governance, prioritization, scalability, sustainability, and alignment of digital initiatives across the organization. Build strong collaboration between business, IT, digital, data, and technology teams to accelerate digital adoption. Identify emerging technologies and evaluate their applicability to DHL Supply Chain's business and operational environment.

Establish appropriate performance metrics and dashboards to measure the impact and effectiveness of digital initiatives. Drive a culture of innovation, experimentation, continuous improvement, and digital-first thinking across the organization.

Requirements

Experience: Minimum 12–15 years of experience in IT, Digital Transformation, Data & Analytics, AI, Automation, Digital Product Management, or related technology domains, with significant experience in leading large-scale digital transformation initiatives.

Qualification

Graduate degree in Engineering, Computer Science, Information Technology, Data Science, Business, or a related discipline from a recognized University/Institute. Postgraduate qualification in Management, Technology, or a related field will be preferred.

Skills and Competencies

Strong understanding of Artificial Intelligence, Generative AI, Data & Analytics, Automation, Digital Applications, and Digital Product Management. Strong strategic thinking and ability to translate business priorities into scalable digital solutions. Proven leadership capability in managing complex, cross-functional digital and technology initiatives. Excellent stakeholder management and communication skills with the ability to engage senior business and technology leaders.

Strong understanding of digital transformation frameworks, technology trends, and emerging digital capabilities. Ability to build and manage high-performing technology and digital teams. Strong analytical and problem-solving skills with a focus on measurable business outcomes. Strong understanding of digital product lifecycle management, governance, and adoption. Ability to identify and evaluate opportunities for AI, automation, analytics, and digital innovation.

Strong understanding of data governance, technology architecture, cybersecurity, and enterprise technology environments.

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