Director of Digital Transformation

The Director of Digital Transformation is responsible for leading enterprise-wide digital initiatives to improve efficiency, customer experience, and business performance. This role drives the adoption of digital technologies, process automation, and data-driven decision-making across the organization.

Key responsibilities typically include:

• Developing and executing the digital transformation strategy aligned with business goals
• Leading large-scale transformation programs (cloud, automation, AI, data, ERP, etc.)
• Identifying opportunities to digitize and optimize business processes
• Overseeing cross-functional teams including IT, operations, product, and business units
• Managing transformation budgets, timelines, risks, and ROI tracking
• Driving change management and digital adoption across the organization
• Collaborating with senior leadership and stakeholders to prioritize initiatives
• Evaluating and implementing new technologies and digital platforms
• Monitoring KPIs and ensuring measurable business impact

• Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or related field
• 10–15+ years of experience in IT, digital transformation, or enterprise program leadership
• Strong experience in leading large-scale transformation or modernization projects
• Deep understanding of digital technologies (cloud, data platforms, automation, AI/ML)
• Proven leadership in cross-functional and global environments
• Strong strategic thinking and business acumen
• Excellent stakeholder management and executive communication skills
• Experience managing complex budgets and enterprise programs
• Strong problem-solving and change management capabilities

• MBA or Master's degree in Business, Technology, or related field
• Experience in consulting (e.g., Big 4 or management consulting firms)
• Certifications in Agile, PMP, or digital transformation frameworks
• Experience in industries such as banking, fintech, telecom, or large enterprises
• Familiarity with platforms like SAP, Salesforce, Azure, AWS, or Google Cloud
• Strong background in data analytics, AI implementation, or enterprise architecture