Technical Delivery Manager

Key Responsibilities

1. Technical Delivery Leadership

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Lead end-to-end engineering delivery across multiple strategic technology initiatives.

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Translate business and product requirements into clear technical delivery plans.

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Drive technical planning, estimation, prioritization, sprint execution, and release management.

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Monitor delivery progress, timelines, dependencies, and key milestones.

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Ensure successful delivery within agreed scope, quality, timeline, and budget.

2. Engineering & Architecture Governance

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Review solution architectures, technical designs, implementation approaches, and development plans.

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Ensure engineering solutions follow established architecture, security, quality, and development standards.

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Provide technical guidance and challenge design decisions where required.

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Promote scalable, maintainable, secure, and high-performing software solutions.

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Support architecture governance across ERP/GRP and enterprise technology environments.

3. External Team Management

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Manage and oversee external software development and technology delivery partners.

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Establish clear delivery expectations, milestones, KPIs, and quality standards.

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Monitor vendor performance and ensure adherence to agreed technical and delivery commitments.

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Coordinate effectively between internal stakeholders and external engineering teams.

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Identify and address delivery or performance issues proactively.

4. Engineering Roadmap & SDLC

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Own and maintain the engineering delivery roadmap in alignment with product and business priorities.

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Ensure effective execution across the Software Development Life Cycle (SDLC).

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Establish appropriate delivery processes, governance, documentation, and reporting.

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Partner with PMO and relevant stakeholders to provide accurate delivery status and forecasts.

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Drive continuous improvement across engineering processes and delivery practices.

5. Product & Business Alignment

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Collaborate closely with Product, Business, QA, Infrastructure, Operations, and other stakeholders.

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Ensure technical decisions support business objectives, product strategy, customer value, and commercial priorities.

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Contribute to technology and product roadmap discussions.

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Evaluate technical options based on business value, feasibility, scalability, and cost.

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Support the adoption of SaaS, cloud, and modern technology strategies where applicable.

6. Cloud & Technology Modernization

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Support and drive cloud modernization initiatives, particularly within Microsoft Azure environments.

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Promote modern engineering practices, cloud-native capabilities, automation, integration, and scalable architectures.

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Contribute to technology modernization and digital transformation initiatives.

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Ensure cloud solutions consider performance, security, availability, scalability, and operational efficiency.

7. Quality, Security & Operational Excellence

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Ensure engineering teams follow software development, testing, security, and quality best practices.

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Work closely with QA and Operations to ensure production readiness and release quality.

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Monitor technical and operational performance and drive continuous improvement.

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Promote effective documentation, knowledge management, and lessons learned.

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Ensure delivery processes support organizational quality and governance requirements.

8. Risk, Compliance & Governance

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Identify, assess, and manage technical and delivery risks.

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Maintain visibility of dependencies, constraints, issues, and mitigation plans.

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Support engineering governance, internal reviews, audits, and compliance requirements.

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Contribute to quality frameworks and process maturity, including CMMI-related practices where applicable.

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Ensure appropriate technical documentation and governance controls are maintained.

9. Team Capability & Innovation

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Support the development and continuous improvement of engineering capabilities.

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Coach and guide technical teams and promote a culture of accountability, collaboration, and quality.

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Contribute to recruitment, technical assessments, performance development, and capability building.

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Identify opportunities to improve engineering productivity through automation and emerging technologies.

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Support innovation initiatives, including the evaluation and adoption of AI/ML solutions based on business value, ROI, and prioritization frameworks such as ICE/RICE.