Assistant Vice President, Team Lead, Process Digitization

Job description

**Job Purpose** The Lead Process - Digitalization & Automation will be responsible for spearheading the end-to-end digital transformation and automation of processes across the organization. This role involves driving operational excellence through the strategic implementation of digital solutions, optimizing delivery, leveraging data analytics for informed decision-making, and effectively managing stakeholders to achieve business objectives. The ideal candidate will possess a strong blend of technical expertise, process improvement methodologies, and leadership skills to cultivate a culture of innovation and continuous improvement. **Key Accountabilities** - End-to-End Process Automation & Transformation - Digital Delivery & Delivery Management - Data Analytics & Diagnostics - Stakeholder Management **Job Duties responsibilities and Requirements** **End-to-End Process Automation & Transformation** - Identify, analyze, and optimize business processes to pinpoint opportunities for digitalization and automation. - Develop and execute a comprehensive digitalization roadmap, ensuring it aligns with the organizations overarching strategy. - Design and implement scalable automation solutions, leveraging technologies such as Robotic Process Automation (RPA), Artificial Intelligence (AI), and machine learning to streamline workflows and enhance efficiency. - Drive systemic change across the organization by promoting operational agility, digital transformation, and industry excellence. - Integrate digital tools and platforms across various departments to establish seamless and efficient operational flows. - Champion an innovative "prototype-first" mindset, building functional Minimum Viable Products (MVPs) and proof-of-concepts to accelerate the delivery of solutions. **Digital Delivery & Delivery Management** - Oversee the end-to-end delivery of digital projects and initiatives, ensuring their completion on time, within budget, and to the required quality standards. - Coordinate effectively with development teams, analytics teams, architects, and external partners to ensure the successful delivery of digital solutions. - Prioritize product backlogs and project pipelines based on their business value, strategic alignment, and technical feasibility. - Establish and maintain robust project management methodologies, including Agile and hybrid delivery environments. - Drive user adoption and manage change for implemented digital solutions to ensure the realization of their intended value. - Monitor project execution and product performance, identifying opportunities for continuous improvement. **Data Analytics & Diagnostics** - Lead the analysis of operational data to evaluate performance, identify optimization opportunities, and derive actionable insights. - Design and implement scalable data solutions, including the automation of manual processes and improvements to existing workflows. - Leverage tools such as SQL, Tableau, Power BI, or similar platforms for efficient data extraction, transformation, and visualization. - Ensure the quality, accuracy, and reliability of data across all reporting systems. - Act as a thought leader in data best practices, innovation, and continuous improvement, including the application of AI-driven solutions where appropriate. - Utilize quantitative data mining and Lean Six Sigma methodologies to re-baseline metrics, reduce process variation, and align with global business impact goals. **Stakeholder Management** - Collaborate effectively with cross-functional teams, including operations, technology, quality, and account management, to lead the transformation agenda. - Partner with leadership and stakeholders to enhance workflow efficiency and achieve improved business outcomes. - Facilitate stakeholder workshops, requirement discussions, and governance reviews across both business and technical teams. - Build strong relationships and influence senior stakeholders to prioritize and execute complex, global projects. - Communicate complex operational issues and strategic business value to senior leadership, creating compelling "impact stories" to gain buy-in. - Act as a liaison between business users and system teams for production support, enhancements, and the resolution of issues. **Required Experience 8+ years of experience in strategic transformation, digital transformation, or process excellence, with a proven track record in a service sector operations environment. Education / Preferred Qualifications** Graduate / Post Graduate in relevant field. - Bachelors degree in Engineering, Computer Science, Information Technology, Supply Chain Management, or a related field. **Core Competencies** - **Analytical Thinking:** Ability to evaluate large, complex data sets and derive clear, actionable insights. - **Technological Literacy:** Knowledge of existing and emerging technology landscapes, including AI, big data, and cybersecurity. - **Problem-Solving:** Innovative approach to identifying problems and developing solutions. - **Leadership and Social Influence:** Ability to lead, mentor, and manage teams, and influence stakeholders effectively. - **Communication:** Excellent verbal and written communication skills for presenting to diverse audiences, including senior leadership. - **Project Management:** Strong project management and stakeholder engagement skills. - **Adaptability:** Embrace change and continuous improvement, and adapt to rapidly advancing technology. - **Lean Six Sigma:** Proven ability to integrate traditional Lean Six Sigma discipline with modern, AI-first operating models. **Technical Competencies** - Demonstrated experience in leading end-to-end implementation of digitalization and automation initiatives. - Proficiency in working with automation tools (e.g., RPA platforms), low-code/no-code platforms, and AI/ML applications. - Experience in product ownership, roadmap management, backlog prioritization, and value realization