Head of Delivery, SRE & Innovation, Information Technology

Key Areas of Responsibilities

• Lead and manage the delivery pipeline for Innovation IT projects, including planning, execution, and monitoring.
• Collaborate with business stakeholders to gather and understand requirements, documenting detailed functional and technical specifications.
• Translate business needs into clear technical instructions for the development team.
• Manage projects using Agile methodologies, utilizing tools like Jira to track work, manage sprints, and facilitate Scrum processes.
• Ensure project deliverables meet quality, scope, and schedule objectives.
• Maintain a hands-on understanding of the application delivery stack, including relevant technologies and frameworks.
• Foster continuous improvement in delivery processes and Agile practices.
• Stay current with advancements in AI and ML, applying relevant technologies to enhance project outcomes.

Requirements

• Extensive hands-on experience managing Agile project delivery in complex IT environments, preferably within Innovation or R&D settings
• .Deep understanding of software development lifecycle (SDLC) frameworks, with proficiency in Agile methodologies such as Scrum and Kanban
• .Strong technical background in application architecture, with familiarity in cloud platforms (e.g., AWS, Azure, GCP), microservices, RESTful APIs, and containerization (Docker, Kubernetes)
• .Proven experience with project management tools, particularly Jira, including backlog grooming, sprint planning, and reporting
• .Solid understanding of data pipelines, ETL processes, and data storage solutions relevant to AI/ML workflows
• .In-depth knowledge of AI and Machine Learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and experience applying these in business solutions
• .Ability to interpret technical designs and documentation and translate them into actionable development and testing tasks
• .Strong analytical skills with the ability to evaluate technical solutions for scalability, robustness, and security
• .Familiarity with DevOps practices, CI/CD pipelines, and automation tools
• .Excellent communication skills for cross-disciplinary collaboration between business stakeholders and engineering teams