Senior AI Engineer

Cloud Engineering Manager

Senior Manager – Technology Transformation

Senior Bid Manager

Finance Analyst

Inside Sales Engineer

Customer Experience Director

Tax Accountant

Engineering Development Associate

Responsibilities: <ul><li>Own end-to-end delivery of AI and analytics products at stations in your region: discovery, scoping, build, integration, UAT, hypercare and rollout.</li><li>Embed with the operation. Sit in business stand-ups, walk the ramp and the cargo floor, and specify the local data reality rather than assuming it.</li><li>Ship production code in Python and comparable stacks against live flight, cargo, workforce and equipment data, not prototypes handed to someone else to productionise.</li><li>Scale deployment. Reduce cost and time-to-deploy from station N to station N+1 through reusable integrations, configuration and runbooks.</li><li>Consume through the semantic layer and the governed data platform. No parallel pipelines, no local definitions, no workarounds.</li><li>Apply CoE patterns and guardrails: reference architectures, AI registry, human-in-the-loop controls, access and residency rules.</li><li>Integrate GenAI and ML into workflows: RAG and retrieval, agentic and tool-use patterns, evaluation frameworks, observability and cost control in production.</li><li>Build data products, not report queues. Design- governed, reusable datasets and semantic models that let operations, airlines and forwarders answer their own questions.</li><li>Put insight in front of the customer. Deliver station and customer-facing analytics, including natural-language access to operational data, with the access, residency and confidentiality controls customer data demands.</li><li>Design for the user, not the requester. Every product names the decision it changes and who makes it. Instrument usage, retire what nobody opens, consolidate the long tail rather than extend it.&nbsp;</li><li>Feed the field back. Every integration problem you solve becomes a hardened pattern for the CoE and a requirement for the platform team.</li><li>Own adoption and benefits. Instrument what you deploy, track usage and benefit against the business case, and report it honestly.</li><li>Be the technical face to the business and to customers, translating between operations, the CoE and platform engineering.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>6+ years in software or ML engineering, including customer-facing or business-embedded delivery.</li><li>Track record of scoping and shipping complex systems end to end in ambiguous, fast-moving environments, and staying accountable after go-live.</li><li>Production experience with LLM or ML systems: prompt and agent design, RAG, evaluation frameworks, deployment at scale, and an understanding of how model behaviour shapes product experience.</li><li>Strong Python and API development (FastAPI or equivalent); comfortable across backend and front-end enough to build a working system alone.</li><li>Practical depth in Docker, Kubernetes, CI/CD, and cloud data platforms; batch and real-time integration against messy enterprise sources.</li><li>Fluency in the analytics half of the job: semantic and dimensional modelling, modern BI, and designing data products that non-technical and external users can operate without help.</li><li>Aviation, logistics or complex operations exposure is an advantage, not a prerequisite. Willingness to learn the operation from the floor is not optional.</li><li>Bachelors, MSc or PhD in Computer Science, Engineering, Mathematics or related field.&nbsp;</li></ul>

Responsibilities: <ul><li>Lead the engineering, operation, and continuous improvement of enterprise cloud platforms across Microsoft Azure (primary), AWS, and GCP, including landing zones, networking, platform services, and secure cloud foundations.</li><li>Build and maintain standardized delivery pathways, CI/CD pipelines, infrastructure-as-code (IaC) modules, GitOps practices, and environment automation to enable consistent, scalable, and compliant deployments.</li><li>Drive an automation-first engineering model, reducing manual intervention through policy-as-code, automated workflows, AI-assisted engineering, and agent-based execution of routine operational activities.</li><li>Develop and mature AIOps capabilities, including anomaly detection, intelligent alert correlation, automated remediation, and measurable reduction of operational toil.</li><li>Design and operate infrastructure supporting enterprise AI workloads, including GPU/accelerated compute, managed AI services, model serving and inference endpoints, vector and retrieval services, and secure AI landing zones.</li><li>Partner with Data &amp; AI teams to provide scalable, secure infrastructure for AI solutions while managing capacity, quotas, workload isolation, and AI infrastructure consumption and cost reporting.</li><li>Lead cloud reliability, observability, and resilience, establishing service level objectives (SLOs), error budgets, metrics, logging, tracing, recovery playbooks, and validated RTO/RPO requirements.</li><li>Implement cloud security, identity, and compliance guardrails through secure baselines, policy-as-code, workload identities, privileged access controls, and Microsoft Entra ID integration.&nbsp;</li><li>Maintain platform compliance with applicable data protection and industry standards, including GDPR, CCPA, PCI-DSS, and SOC 2, in partnership with Global Cybersecurity and other governance teams.</li><li>Execute FinOps and cloud optimization initiatives, including tagging and cost allocation, rightsizing, scheduling, storage optimization, reservations, savings plans, committed spend, forecasting, and consumption reporting.</li><li>Support the organizations cloud-first transformation, including modernization and consolidation of VMware workloads and rationalization of AWS and GCP environments around strategic business requirements.</li><li>Lead and develop a globally distributed cloud engineering team, establishing engineering standards, structured code and design reviews, operational discipline, continuous learning, and accountability for cloud providers and engineering partners.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent professional experience.</li><li>10+ years of progressive cloud and infrastructure engineering experience, including at least 3 years leading engineering teams with accountability for production platform services.</li><li>Expert-level, hands-on experience with Microsoft Azure, with demonstrated experience building and operating environments across AWS and GCP.</li><li>Deep experience with platform engineering and infrastructure-as-code, including Terraform, Bicep, GitOps, CI/CD pipelines, landing zones, and automated provisioning.</li><li>Demonstrated experience implementing cloud automation and AI-enabled operations, including AIOps, AI-assisted engineering, or agent-based automation.</li><li>Hands-on experience supporting AI/ML infrastructure, including GPU/accelerated compute, managed AI services, model serving, or AI workload platforms.</li><li>Strong production experience with Kubernetes (AKS, EKS, or GKE), cloud security, identity, observability, and reliability practices.</li><li>Experience leading distributed engineering teams and supporting highly available, business-critical technology environments.</li></ul> Preferred Skills <ul><li>Professional certifications such as Azure Solutions Architect Expert, AWS Certified Solutions Architect – Professional, Google Professional Cloud Architect, CKA, Terraform Associate, or FinOps Certified Practitioner.</li><li>Experience with Microsoft Entra ID, workload identity, privileged access, Conditional Access, zero-trust principles, and policy-as-code.</li><li>Experience with observability and SRE practices, including Grafana, Prometheus, Azure Monitor, CloudWatch, SLOs, and error budgets.</li><li>Working knowledge of FinOps, cloud cost optimization, tagging strategies, reservations, savings plans, and consumption reporting.</li><li>Experience migrating and modernizing VMware and on-premises workloads into cloud environments.</li><li>Experience leading global teams across the Americas, EMEA, and APAC.</li><li>Experience within aviation, transportation, logistics, field operations, or other 24/7/365 operational environments.</li></ul>

Role Description: <ul><li>The role holder identifies and defines opportunities, builds the business case for each initiative, and leads delivery through internal technology functions and delivery partners. Initiatives are held to their intended outcomes, adoption and benefits, not go-live alone. This is a hands-on role. </li><li>The role holder personally designs, builds and deploys data, analytics, automation and AI solutions, and coordinates multidisciplinary teams.</li></ul> Responsibilities: <ul><li>Provide analysis and recommendations to help develop DHI’s technology, data and digital transformation agenda, for review by the Executive Director – Portfolio Operations and Intelligence.</li><li>Develop and maintain roadmaps for assigned initiatives, sequencing activity by value, dependency, risk and readiness.</li><li>Lead discovery and solution design with DHI departments, running workshops that define the opportunity, scope and intended outcome of each initiative.</li><li>Identify opportunities to improve revenue, productivity, customer experience, operational performance and decision-making through data, analytics, automation and AI.</li><li>Define value hypotheses, success metrics, adoption targets and value realisation frameworks for each initiative.</li><li>Design, develop, deploy and maintain data and analytical solutions, dashboards, automation solutions and AI-enabled products.</li><li>Build and maintain ETL/ELT processes and data transformation workflows.</li><li>Own the lifecycle of data, analytics, automation and AI products, from concept through deployment and adoption.</li><li>Define product vision, user requirements, roadmaps, backlogs and delivery priorities, based on the end-to-end needs of alternative asset management users, including investment professionals, portfolio managers, senior leadership and governance functions. Translate business challenges into technical requirements, user stories and solution designs.</li><li>Lead end-to-end delivery of assigned transformation initiatives, managing scope, schedule, cost and quality.</li><li>Ensure initiatives meet cybersecurity, data protection, privacy and AI governance requirements.</li></ul> Requirements: <ul><li>6 – 8 years of experience in technology transformation, data product development, applied AI, technology consulting or data-enabled transformation.</li><li>Demonstrated experience personally taking a problem through to a production-grade product.</li><li>Bachelor’s degree in Computer Science, Engineering, Data Science, AI, Mathematics, Statistics, Business or another relevant quantitative discipline.</li><li>Advanced degree, such as an MBA, preferred.</li><li>Technology, data and digital transformation planning and roadmap development</li><li>Data platforms such as Databricks, Azure AI Foundry, Spark, Hive or Palantir Foundry</li></ul>

Role Description: <ul><li>The Senior Bid Manager will establish and develop a new deal and bid management capability, acting as the central coordinator for complex Requests for Proposals (RFPs) and tenders across EMEA and North America, with support for APAC as required.</li><li>Based in the UK, the role will work closely with Sales, Pricing, Legal, Service Delivery, and other teams across the business to coordinate the end-to-end bid process and ensure the development of high-quality, commercially sound, and deliverable proposals.</li><li>This is an exciting opportunity to shape a new capability and play a key role in how the business approaches and delivers complex deals globally. The Senior Bid</li><li>Manager will bring structure and organisation to a developing function, establishing effective processes, tools, and ways of working while remaining adaptable as the business evolves.</li><li>This is a highly hands-on role requiring a proactive self-starter who can work autonomously while thinking strategically. An AI-first mindset is essential to identify smarter, more efficient ways of working and continuously improve the deal and bid management process.</li></ul> Responsibilities: RFP Orchestration and Qualification <ul><li>Own the RFP intake register and qualification process, assessing scope, probability of winning, and resource capacity.</li><li>Propose resource allocation to senior commercial leadership.</li><li>Develop and manage end-to-end bid plans, including meeting schedules, stage gates, task delegation, and deadline management across all workstreams.</li><li>Organise mandatory RFP strategy kick-off meetings and prepare decision-making packs for each stage gate.</li></ul> Contract and SLA Alignment <ul><li>Build and maintain a global standard contract clause library and deviation register.</li><li>Establish the standard contractual baseline for each RFP and consolidate regional amendments into a single position for negotiation.</li><li>Coordinate Service Level Agreements (SLAs) with Service Delivery teams, ensuring internal approval of operational feasibility before commitments are made to customers.</li><li>Manage contractual terms and SLAs as part of an integrated negotiation process.</li><li>Coordinate with Legal teams on standard contractual terms.</li><li>Refer significant contractual or SLA deviations to Pricing for financial impact assessment.</li><li>Track contract approvals and signatures through to completion.</li></ul> Proposal Excellence <ul><li>Develop compelling solution narratives and executive summaries tailored to the evaluation criteria and target audience.</li><li>Lead internal bid reviews and quality assurance processes.</li><li>Build and maintain a library of standard proposal content, templates, and reusable materials.</li><li>Evaluate and implement AI-powered bid management tools, such as Loopio or similar platforms, to improve proposal quality, consistency, and turnaround times.</li><li>Manage customer portal submissions, ensuring accuracy, compliance, and on-time delivery across relevant time zones.</li></ul> Continuous Improvement <ul><li>Facilitate structured win/loss reviews following each RFP to identify lessons and improvement opportunities.</li><li>Maintain and continuously improve bid processes, standard templates, reusable proposal content, and contractual clause libraries between live bids.</li><li>Identify opportunities to improve efficiency, consistency, and commercial effectiveness through automation and AI-enabled tools.</li></ul> Requirements: Relevant Skills and Experience <ul><li>12+ years of relevant pre-sales, bid management, or related commercial experience, with an AI-first mindset.</li><li>Essential experience in aviation, ground handling, or air cargo handling; knowledge of the Standard Ground Handling Agreement (SGHA) is a strong advantage.</li><li>Proven experience managing complex, multi-workstream bids and tenders against strict external deadlines.</li><li>Strong stakeholder management and influencing skills, with the ability to coordinate teams across regions, functions, and seniority levels without direct authority.</li><li>Strong contract management knowledge and sound commercial judgement.</li><li>Ability to work effectively in ambiguous, evolving environments and establish structure in a developing function.</li><li>Practical experience with bid management and AI tools, such as Loopio or equivalent platforms.</li><li>A proactive, hands-on approach with the ability to take ownership and deliver independently.</li><li>Excellent written communication, proposal development, presentation, and executive-level communication skills.</li></ul> Core Values <ul><li>Safety: Maintaining the highest standards of safety and operational responsibility.</li><li>Customer Focus: Delivering value and creating positive customer experiences.</li><li>Respect: Listening to, understanding, and respecting colleagues and stakeholders.</li><li>Excellence: Pursuing high standards in every aspect of delivery.</li><li>Teamwork: Collaborating effectively and building on the strengths of others.</li></ul>

Responsibilities: <ul><li>Responsible for all aspects of Accounts Payable, Accounts Receivable, Fixed Assets</li><li>Review transactions and documentation to ensure compliance with statutory and Group requirements.</li><li>Assist in cost monitoring and controls. Provide analytical support with insights on actual expenses and variances against budget</li><li>Work in a team to perform day-to-day accounting functions, month-end, quarter-end and year-end closing. These may include reconciliations, general ledger entries, Group and Statutory reporting.</li><li>Ensure timely and accurate completion of management accounts, notes to the accounts, cash flow projection and statutory and tax submission.</li><li>Provide support for the planning and budgeting exercise</li><li>Assist in system and process enhancements.</li><li>Liaise with external internal auditors, tax agent, company secretary, regulatory authorities, relationship manager and other parties to ensure compliance with all matters relating to audit, tax, statutory and Group requirements.</li><li>Perform any ad-hoc tasks and responsibilities which the superior may assign from time to time</li></ul> Requirements: <ul><li>Minimum 5 years of working experience in Finance, Accounting or Audit functions</li><li>Have a Bachelor Degree in Accounting or Finance or a professional accounting qualification (e.g ACCA/ CPA Australia/ CIMA)</li><li>Have working experience in a shared service centre / Global Business Service centre experience will be an advantage</li><li>Working knowledge and experience in SAP system is a must</li></ul>

Responsibilities: <ul><li>Identify and pursue new sales opportunities across PH market.&nbsp;</li><li>Build and maintain strong relationships with existing and potential customers, adapting communication styles to regional preferences.</li><li>Support external sales engineers by generating leads and qualifying prospects.</li><li>Generate quotation and revert to customers for standard products, tubing, hoses and parts.</li><li>Follow up with customer quotations.</li><li>Take orders for repeat business and ensure timely follow-up with clients.</li><li>Collaborate with cross-functional teams to align sales strategies with regional market trends.</li><li>Maintain accurate records of customer interactions and sales activities in CRM systems.</li></ul> Requirements: <ul><li>Good English communication skills.&nbsp;</li><li>2 to 5 years of experience in inside sales (cold calling / lead generation).</li><li>Background in maintaining accurate records of customer interactions and sales activities.</li><li>Cold calling, lead generation.</li></ul>

Responsibilities: Customer Experience Strategy &amp; Governance: <ul><li>Develop, implement and continuously evolve the Companys Customer Experience strategy, roadmap, service standards and priorities in alignment with overall business objectives.</li><li>Establish the Customer Experience governance framework and ensure clear accountability for customer experience performance across relevant functions.</li><li>Represent the Voice of the Customer within the organization and ensure customer insights are considered in strategic, commercial, product and operational decisions.</li><li>Establish cross-functional governance for significant customer-impacting issues, ensuring root causes, corrective actions, responsible owners and deadlines are defined and tracked through to closure.</li><li>Collaborate with Commercial, Marketing, Product, Technology, Network, Finance, Regulatory, Legal and other departments to deliver a consistent and seamless end-to-end customer experience.</li></ul>&nbsp;Customer Support Operations: <ul><li>Lead the Customer Support Operations function and ensure effective management of internal and outsourced customer support operations.</li><li>Ensure customers receive timely, consistent and high-quality support across all relevant customer service channels and touchpoints.</li><li>Define and monitor operational KPIs and SLAs, including service levels, response and resolution times, First Contact Resolution, productivity and other relevant customer support indicators.</li><li>Continuously optimize customer support processes to improve efficiency, reduce customer effort, improve service quality and control operating costs.</li><li>Oversee internal and outsourced inbound and outbound customer support operations and ensure third-party partners meet agreed service levels, productivity, quality and customer experience standards.</li><li>Define workforce dimensioning, capacity planning and resource allocation requirements for internal and outsourced operations based on customer demand, contact volumes and business requirements.</li><li>Establish and oversee effective escalation processes for complex, sensitive or unresolved customer issues, ensuring clear ownership and timely resolution.</li><li>Ensure appropriate business continuity and customer-support procedures are in place for network incidents, system outages, major campaigns, unexpected increases in customer demand and other high-impact events.</li><li>Assess and recommend technologies, systems, automation and self-service solutions that improve customer experience, operational efficiency and cost-to-serve.</li><li>Define the Customer Experience organizational structure and resource requirements, and oversee recruitment priorities, performance management, employee development and succession planning.</li></ul> Quality Assurance &amp; Continuous Improvement: <ul><li>Lead a structured Continuous Improvement program across customer-facing operations using customer feedback, operational data, quality findings and root-cause analysis.</li><li>Own the Customer Experience Quality Assurance framework, including quality standards, interaction audits, mystery evaluations, calibration, quality scorecards and corrective-action mechanisms across internal and outsourced operations.</li><li>Analyze customer complaints, repeat contacts, escalations, quality findings and operational data to identify recurring issues and root causes, and drive cross-functional corrective and preventive actions through to implementation.</li><li>Identify opportunities to reduce avoidable and repeat customer contacts through process simplification, automation, self-service, improved communication and permanent resolution of root causes.</li><li>Track Continuous Improvement initiatives and measure their impact on customer satisfaction, service quality, operational efficiency, contact reduction and other relevant business outcomes.</li><li>Lead end-to-end customer journey reviews and service-design initiatives to identify pain points, reduce customer effort, improve First Contact Resolution and enhance the experience across physical, assisted and digital touchpoints.</li></ul> Training, Knowledge &amp; Capability Development: <ul><li>Oversee the Customer Experience Training function and establish a structured capability-development framework covering onboarding, product and service knowledge, systems, processes, customer handling, soft skills, coaching and refresher training.</li><li>Ensure Training Needs Analysis is driven by quality results, customer feedback, operational performance and identified competency gaps, and measure the effectiveness of training interventions.</li><li>Establish and maintain effective Knowledge Management practices, including customer-care SOPs, scripts, FAQs, knowledge articles and operational guidelines, ensuring frontline teams receive accurate and timely information.</li><li>Promote a culture of customer focus, continuous learning and high performance through coaching, recognition and employee-development initiatives.</li></ul> Customer Analytics, Voice of Customer &amp; Insights: <ul><li>Lead the Customer Analytics function and ensure customer and operational data is converted into actionable insights for Customer Experience and the wider business.</li><li>Establish CX dashboards and reporting covering customer behaviour, contact drivers, complaints, repeat contacts, service performance, quality, satisfaction, retention/churn indicators and emerging customer trends.</li><li>Own the Voice of Customer and CX measurement framework, including NPS, CSAT, First Contact Resolution and other relevant customer experience indicators, establishing targets and monitoring performance against them.</li><li>Use surveys, complaints, customer interactions, research and other feedback channels to identify customer needs, expectations, pain points and emerging trends, ensuring insights are translated into clearly defined improvement actions.</li><li>Utilize customer segmentation based on relevant behaviors, preferences, value, demographics and usage patterns to support customer experience initiatives, service prioritization and relevant business campaigns.</li></ul> Product, Process &amp; Operational Readiness: <ul><li>Ensure Customer Experience is appropriately involved in the development and implementation of new products, services, campaigns, processes and customer-impacting system changes, with customer experience risks identified before implementation.</li><li>Establish operational-readiness requirements for major launches and changes, including capacity, processes, systems, training, knowledge materials, customer communication and escalation procedures, and monitor customer impact following implementation.</li></ul> Performance, Compliance &amp; Financial Management: <ul><li>Provide senior management with regular reporting on Customer Experience performance, customer trends, key risks, operational performance, Continuous Improvement initiatives and areas requiring management attention.</li><li>Ensure Customer Experience operations comply with applicable regulatory requirements, company policies, data protection requirements and industry standards in coordination with Regulatory, Legal and other relevant functions.</li><li>Develop and manage the Customer Experience operating budget and monitor operating costs, productivity and cost-to-serve, identifying opportunities to improve efficiency without negatively impacting customer experience.</li><li>Manage key Customer Experience vendors and partners, ensuring contractual commitments, SLAs, costs, quality standards and performance expectations are effectively monitored and managed.</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s Degree in Business Administration, Communications, Marketing, or a related field,</li><li>A Master’s degree or professional certification (e.g., CCXP - Certified</li><li>Customer Experience Professional) is highly preferred.</li></ul>

Responsibilities: <ul><li>Sales and use tax journal posting and prepare the check request for tax payments.</li><li>Resale and exemption certificate management</li><li>Business license registration and renewal</li><li>Resolving customer related tax questions and tax exemption issues</li><li>Calculation and submission of payments to tax authorities</li><li>Reconciling tax payments with accruals and record journal entries to adjust, if needed</li><li>Creation of custom reports as required by company US tax teams using SAP macros and Power Query External Use</li><li>Preparation of tax account reconciliation and various other data pulls from SAP and Vertex O series for tax compliance requirements.</li><li>Works independently; receives guidance when needed.</li></ul> Requirements: <ul><li>Bachelor’s degree in economics, Statistics, Accounting, or other related field</li><li>3 to 5 years of experience from Big 4 Accounting or Large MNC Corporate Tax Department (Preferably In house)</li><li>Experience in preparing and reviewing Sales Tax and Use Tax returns</li><li>Experience demonstrating problem solving skills and the ability to prioritize and manage multiple tasks.</li><li>Advanced proficiency with Microsoft Excel (macros, advanced formulas including “v-lookup” and “index match”)</li><li>Experience in tax exemption certificate management.</li><li>Experience in business license registration and renewal.</li><li>Experience in tax accounts reconciliation.</li><li>Experience with Vertex O Series Indirect Tax Determination for North America Region</li></ul>

Responsibilities: <ul><li>Identify Sales Opportunities: Proactively identify and pursue new sales opportunities through research, networking, loss accounts and outreach.</li><li>Lead Generation : Generates leads and qualifies prospects for external sales engineers</li><li>Quotations: Generates Standard quotations for products, tubings, hoses and parts.</li><li>Customer Relationship Management: Build and maintain strong relationships with existing and potential customers, ensuring their needs are met and exceeded.</li><li>Securing Orders: Secure orders for repeat business and simple new orders, ensuring customer satisfaction and loyalty.</li><li>Support Sales Engineers: Assist sales engineers by setting up meetings with prospective customers and providing them with necessary information and support.</li><li>Market Research: Conduct market research to stay informed about industry trends, competitor activities, and customer needs.</li><li>Sales Reporting: Maintain accurate records of sales activities, customer interactions, and pipeline status in the CRM system.</li><li>Collaboration: Work closely with the sales colleagues to develop and implement effective sales strategies.</li><li>Customer Feedback: Gather and analyse customer feedback to improve services, and sales processes.</li><li>Training and Development: Continuously improve your knowledge of our products and services, as well as sales techniques and industry best practices.</li></ul> Requirements: <ul><li>Ideally you will have technical experience working with mechanically engineered / process equipment products or services.&nbsp;</li><li>This role requires you to work with various key clients and customers – the ability to be agile, solve problems effectively and make commercially astute decisions on the go is essential. Comfortable working with KPIs.&nbsp;</li><li>Ideally you will have knowledge in a Sales function preferably in a Business-to-Business environment; an understanding of Customer Relationship Management and Enterprise Resource Planning systems would be an asset.&nbsp;</li><li>Due to the nature of our business, the ability to collaborate across countries/departments within a corporate environment would be an asset.&nbsp;</li></ul>

Role Description: <ul><li>The TS Operations &amp; Engineering Rotation Program is an accelerated development program designed for high-potential early-career professionals.</li><li>Through a series of cross-functional rotations, participants gain hands-on experience across Engineering and Operations, build broad business knowledge, and develop the skills needed for future leadership opportunities.</li><li>Your first rotation will be within our Engineering organization, where you will contribute to real business challenges, collaborate with experienced professionals, and help deliver innovative solutions for global customers.</li><li>This is not a shadowing program. From day one, you will take ownership of meaningful work, use data to solve problems, and help deliver measurable business results.</li></ul> Responsibilities: <ul><li>Contribute to engineering projects from concept through implementation and validation.</li><li>Apply data-driven problem solving to improve products, processes, and business outcomes.</li><li>Partner with cross-functional teams including Manufacturing, Quality, Operations, Supply Chain, and Project Management.</li><li>Support product development, testing, and continuous improvement activities.</li><li>Participate in customer-focused engineering initiatives to help meet performance and quality requirements.</li><li>Analyze technical challenges and recommend practical, effective solutions.</li><li>Present project results, insights, and recommendations to engineering and business stakeholders.</li></ul> Responsibilities: <ul><li>Bachelors or Masters degree in Engineering or a related technical field from a highly regarded university.</li><li>1-3 years of professional work experience in engineering, manufacturing, operations, or a related technical environment.</li><li>Strong analytical and problem-solving skills with the ability to learn quickly.</li><li>Practical experience with CAD tools in design or product development, complemented by knowledge of finite element analysis (FEA) simulation.</li><li>Knowledge of AI-enabled tools and data analytics.</li><li>Ability to work effectively in cross-functional and multicultural teams.</li><li>Strong communication skills with the ability to present ideas and recommendations clearly.</li><li>Fluent English a must</li></ul>

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150 associate director external communications Jobs found

Senior AI Engineer

Cloud Engineering Manager

Senior Manager – Technology Transformation

Senior Bid Manager

Finance Analyst

Inside Sales Engineer

Customer Experience Director

Tax Accountant

Inside Sales Engineer

Engineering Development Associate

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150 associate director external communications Jobs found

Senior AI Engineer

Cloud Engineering Manager

Senior Manager – Technology Transformation

Senior Bid Manager

Finance Analyst

Inside Sales Engineer

Customer Experience Director

Tax Accountant

Inside Sales Engineer

Engineering Development Associate

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