Head – Digital Transformation, Enterprise Applications & AI Strategy

Job Description

The Head of Digital Transformation, Enterprise Applications & AI Strategy will be responsible for driving the delivery, adoption, and business value realization of digital transformation initiatives across the organization. The role will lead enterprise applications, process transformation, automation, AI initiatives, and cross-functional business transformation programs to improve operational efficiency, scalability, and business outcomes.This is a delivery-focused leadership role with accountability for execution, governance, stakeholder management, value realization, and continuous improvement. Strategic planning and innovation capabilities are desirable but secondary to strong delivery and transformation execution experience.Key ResponsibilitiesDigital Transformation DeliveryLead end-to-end delivery of enterprise-wide digital transformation programs across business functions.Drive implementation of technology solutions that improve business processes, operational efficiency, and customer experience.Establish transformation governance, delivery frameworks, risk management, and reporting mechanisms.Ensure successful execution of initiatives within agreed timelines, budgets, and quality standards.Drive measurable business outcomes and value realization from transformation investments.Enterprise Applications LeadershipLead enterprise application delivery and optimization initiatives.Manage application roadmaps, enhancements, integrations, upgrades, and lifecycle management.Ensure enterprise systems effectively support evolving business needs.Work closely with business stakeholders to prioritize and deliver application change requests.AI, Automation & Process TransformationIdentify and implement AI, GenAI, Agentic AI, and automation opportunities across business functions.Lead process automation initiatives using workflow, low-code, RPA, and AI technologies.Drive business process re-engineering initiatives to improve productivity and operational effectiveness.Establish frameworks for adoption, governance, and value measurement of AI-driven solutions.Data & Business InsightsCollaborate with Data & Analytics teams to enable data-driven decision making.Support initiatives related to data quality, governance, reporting, and business intelligence.Leverage analytics to identify transformation opportunities and track business outcomes.Stakeholder & Vendor ManagementPartner with business leaders to understand transformation priorities and delivery expectations.Manage relationships with implementation partners, technology vendors, and consulting organizations.Drive executive steering committees and business review forums.Team LeadershipBuild and lead a high-performing transformation delivery team.Foster a culture of accountability, execution excellence, collaboration, and continuous improvement.Mentor team members and develop future transformation leaders.Required Experience10-15 years of progressive experience in Digital Transformation, Enterprise Applications, Program Delivery, or Business Transformation initiatives.Proven track record of delivering large-scale enterprise transformation programs.Strong experience managing complex cross-functional projects and stakeholder ecosystems.Experience driving automation, process optimization, and digital adoption initiatives.Exposure to data, analytics, reporting, and business intelligence platforms.Experience working with external implementation partners and technology vendors.Demonstrated leadership experience managing teams and enterprise-wide initiatives.Preferred ExperienceExposure to SAP environments (SAP ECC, S/4HANA, SuccessFactors, SAC/BDC, BTP, or related technologies) is highly desirable.Experience with AI, Generative AI, Agentic AI, Low-Code platforms, and Intelligent Automation initiatives.Experience in distribution, supply chain, logistics, or similar industries preferred.Core CompetenciesTransformation Delivery & ExecutionEnterprise ApplicationsProgram & Portfolio ManagementBusiness Process Re-engineeringAI & AutomationDigital TransformationChange ManagementStakeholder ManagementVendor & Partner ManagementData & Analytics AwarenessGovernance & Risk ManagementBusiness Value RealizationLeadership & Team DevelopmentEducation & CertificationsBachelor’s degree in engineering, Technology, Computer Science, Information Systems, or related field.MBA or equivalent business qualification is an advantage.Certifications such as PMP, Agile, Lean Six Sigma, SAP, AI/Automation, or Change Management are preferred.