Unilode Aviation Solutions

• Own and evolve the Databricks data platform strategy to align with analytics, product, and business priorities. • Design and operate data environments (DEV, STG, PROD) to support performance, governance, and scalability. • Act as the technical authority on data infrastructure decisions, aligning with long-term business goals. • Lead initiatives to consolidate data tools, modernise platform architecture, and reduce technical debt. • Partner with analytics engineers, data scientists, product owners, and commercial leaders to shape platform capability. • Support education and enablement of platform users, promoting efficient and cost-conscious usage. • Serve as the escalation point for platform-related issues and strategic data decisions. • Collaborate with the Data Governance team to embed policies that ensure data transparency, retention, and compliance. • Manage relationships with platform vendors including Databricks, overseeing usage, renewals, and optimisation. • Mentor platform users and junior engineers, building internal capability and platform understanding.

• Drive high-impact initiatives that turn global operational pain points into production-ready ML products. • Act as the bridge between complex data streams and real-world aviation impact. • Collaborate with technical and operational teams to scale forecasting, predictive analytics, and computer vision capabilities. • Take ownership of ML initiatives from requirements gathering to design, implementation, and delivery. • Define the scope, milestones, and deliverables for assigned initiatives. • Manage timelines and proactively communicate progress, risks, and dependencies. • Engage directly with non-technical stakeholders to clarify operational and business requirements. • Translate business needs into structured technical specifications. • Design and implement business logic, gather and transform structured and non-structured data using Python, SQL, and other ML frameworks. • Develop and maintain data pipelines to support model training, evaluation, and deployment. • Perform exploratory data analysis to understand data patterns, limitations, and quality issues. • Ensure implemented solutions are scalable and maintainable within the existing data ecosystem. • Work closely with Data Science Specialists and analytics colleagues to align with broader ML strategy.

• Ensures Accountability, Drive Results by developing, owning, and implementing the Procurement Strategy and governance framework across the Unilode Group. • Drives a culture of continuous improvement within regional procurement teams, collaborating with leadership to optimize supplier partnerships. • Introduces SMART SLAs into key contracts, ensuring service levels are met and include relevant service credits. • Drives cost reduction in spare parts procurement, particularly A parts from major OEMs by renegotiating contracts with key subcontractors. • Identifies and implements sourcing strategies to improve procurement efficiency and reduce risks. • Establishes procurement policies and ensures compliance with regulatory and industry requirements. • Develops strong relationships with suppliers, OEMs, and key stakeholders to enhance service delivery. • Supports procurement digitalization initiatives, ensuring data-driven decision-making and analytics. • Leads, mentors, and develops procurement teams to enhance expertise and performance across regions. • Collaborates with Finance, Operations, and other business functions to align procurement goals with overall company objectives. • Promotes sustainable and ethical sourcing practices in line with Unilode’s values and ESG goals.