Technical Delivery Manager

Key Responsibilities 1. Technical Delivery Leadership - Lead end-to-end engineering delivery across multiple strategic technology initiatives. - Translate business and product requirements into clear technical delivery plans. - Drive technical planning, estimation, prioritization, sprint execution, and release management. - Monitor delivery progress, timelines, dependencies, and key milestones. - Ensure successful delivery within agreed scope, quality, timeline, and budget. 2. Engineering & Architecture Governance - Review solution architectures, technical designs, implementation approaches, and development plans. - Ensure engineering solutions follow established architecture, security, quality, and development standards. - Provide technical guidance and challenge design decisions where required. - Promote scalable, maintainable, secure, and high-performing software solutions. - Support architecture governance across ERP/GRP and enterprise technology environments. 3. External Team Management - Manage and oversee external software development and technology delivery partners. - Establish clear delivery expectations, milestones, KPIs, and quality standards. - Monitor vendor performance and ensure adherence to agreed technical and delivery commitments. - Coordinate effectively between internal stakeholders and external engineering teams. - Identify and address delivery or performance issues proactively. 4. Engineering Roadmap & SDLC - Own and maintain the engineering delivery roadmap in alignment with product and business priorities. - Ensure effective execution across the Software Development Life Cycle (SDLC). - Establish appropriate delivery processes, governance, documentation, and reporting. - Partner with PMO and relevant stakeholders to provide accurate delivery status and forecasts. - Drive continuous improvement across engineering processes and delivery practices. 5. Product & Business Alignment - Collaborate closely with Product, Business, QA, Infrastructure, Operations, and other stakeholders. - Ensure technical decisions support business objectives, product strategy, customer value, and commercial priorities. - Contribute to technology and product roadmap discussions. - Evaluate technical options based on business value, feasibility, scalability, and cost. - Support the adoption of SaaS, cloud, and modern technology strategies where applicable. 6. Cloud & Technology Modernization - Support and drive cloud modernization initiatives, particularly within Microsoft Azure environments. - Promote modern engineering practices, cloud-native capabilities, automation, integration, and scalable architectures. - Contribute to technology modernization and digital transformation initiatives. - Ensure cloud solutions consider performance, security, availability, scalability, and operational efficiency. 7. Quality, Security & Operational Excellence - Ensure engineering teams follow software development, testing, security, and quality best practices. - Work closely with QA and Operations to ensure production readiness and release quality. - Monitor technical and operational performance and drive continuous improvement. - Promote effective documentation, knowledge management, and lessons learned. - Ensure delivery processes support organizational quality and governance requirements. 8. Risk, Compliance & Governance - Identify, assess, and manage technical and delivery risks. - Maintain visibility of dependencies, constraints, issues, and mitigation plans. - Support engineering governance, internal reviews, audits, and compliance requirements. - Contribute to quality frameworks and process maturity, including CMMI-related practices where applicable. - Ensure appropriate technical documentation and governance controls are maintained. 9. Team Capability & Innovation - Support the development and continuous improvement of engineering capabilities. - Coach and guide technical teams and promote a culture of accountability, collaboration, and quality. - Contribute to recruitment, technical assessments, performance development, and capability building. - Identify opportunities to improve engineering productivity through automation and emerging technologies. - Support innovation initiatives, including the evaluation and adoption of AI/ML solutions based on business value, ROI, and prioritization frameworks such as ICE/RICE.