Senior AI Engineer

Cloud Engineering Manager

Division Manager - VP2

Lead, AI & Data Products (Technical)

Account Manager

Supply Planning Leader

Head of Card Operations

Supervisor Supply Chain

Customer Experience Director

Inside Sales Engineer

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>

Responsibilities: Service Operations Management: <ul><li>Lead and manage the First Recovery (L1 Application Support) team comprising approximately 19 analysts.</li><li>Ensure seamless delivery of 16x6 operational support (Monday through Saturday) and weekend coverage during Mainframe and AS400 IPL activities.</li><li>Drive effective handling of incidents, service requests, alerts, and operational tasks.</li><li>Ensure incidents are prioritized, triaged, and assigned appropriately to meet SLA commitments.</li><li>Act as the primary escalation point for critical incidents and major service disruptions.</li></ul> Incident &amp; Request Management: <ul><li>Drive achievement of the teams key KPI of maintaining a minimum 60% First Recovery Resolution Rate for all incidents received by the L1 support team.</li><li>Monitor incident trends and recurring issues, initiating preventive and corrective actions.</li><li>Ensure timely escalation of unresolved incidents to L2/L3 support teams.</li><li>Conduct incident reviews and implement lessons learned to improve service quality.</li></ul> Application &amp; Infrastructure Health Monitoring: <ul><li>Oversee proactive application and infrastructure health checks.</li><li>Ensure monitoring activities are performed consistently and operational issues are detected early.</li><li>Work with infrastructure, middleware, database, and application teams to improve system stability and availability.</li><li>Drive automation and operational improvements where appropriate.</li></ul> Knowledge Management: <ul><li>Establish and maintain a comprehensive Knowledge Base (KB) repository.</li><li>Ensure all recurring incidents, service requests, troubleshooting procedures, and operational runbooks are documented.</li><li>Promote knowledge sharing and continuous learning within the team.</li><li>Drive reduction of repeat incidents through effective documentation and process improvements.</li></ul> People Leadership: <ul><li>Manage, coach, and develop a team of 15–20 direct reports.</li><li>Perform resource planning, scheduling, workload distribution, and succession planning.</li><li>Conduct performance management, mentoring, and career development activities.</li><li>Foster a culture of accountability, customer focus, collaboration, and continuous improvement.</li><li>Ensure adequate staffing and capabilities are maintained to support business requirements.</li></ul> Stakeholder Management: <ul><li>Engage with application owners, infrastructure teams, business users, and senior management on operational matters.</li><li>Provide regular reporting on KPIs, incident trends, service improvements, and team performance.</li><li>Participate in governance meetings and operational reviews.</li></ul> Continuous Improvement: <ul><li>Identify opportunities to improve operational processes, tooling, and monitoring capabilities.</li><li>Drive reduction in incident volumes through root cause analysis and preventive actions.</li><li>Support operational transformation initiatives and service maturity improvements.</li></ul> Requirements: <ul><li>Bachelors Degree in Information Technology, Computer Science, Engineering, or a related discipline.</li><li>Minimum 8–12 years of IT experience with at least 3–5 years in a people management role.</li><li>Proven experience managing 15–20 direct reports in an Application Support environment.</li><li>Strong background in L1 and/or L2 Application Support.</li><li>Experience managing shift-based operational teams.</li><li>Demonstrated experience in Incident Management, Service Request Management, and Operational Support.</li></ul>

Role Description: <ul><li>The organization is investing in a small number of high-impact AI and data products intended to operate across its global station network. </li><li>Each requires a single accountable owner who can hold the technical architecture and the product direction together, from first implementation through multi-station scale.</li><li>We are looking for a Lead, AI &amp; Data Products to take that ownership.&nbsp;</li><li>This is a senior individual contributor role for an engineer or applied scientist who has moved into product leadership, not a product manager with adjacent technical exposure.</li><li>You will be expected to reason about model design, data architecture and production trade-offs at the level of the engineers building the system, and to hold the roadmap, business case and stakeholder relationships at the level of the executives funding it.&nbsp;</li><li>The role operates horizontally.</li><li>You will act as the single-threaded owner for assigned initiatives, working with the AI Centre of Excellence on patterns and feasibility, with Data Engineering and Platform on the data foundation, with Operational Excellence and the business product owners on process change, and with the forward deployed engineers in region on station rollout.</li></ul> This is a hands-on role. <ul><li>You will review and contribute to code, make architectural calls, and spend meaningful time at the frontline understanding operations directly rather than through documentation.</li></ul> Responsibilities: Technical product ownership <ul><li>Own the product end to end for assigned AI and data initiatives: discovery, technical architecture, roadmap, delivery sequencing and global rollout readiness.</li><li>Act as single-threaded owner. One person accountable for whether the product works, is adopted, and delivers its business case across stations and regions.</li><li>Convert programs into products.&nbsp;</li><li>Move initiatives currently run as projects onto a product footing with a roadmap, a lifecycle, named users and a benefit measure.</li><li>Make the build decisions: in-house, CoE pattern, capability center, or vendor. Own the trade-off and the consequences.</li></ul> Technical depth <ul><li>Set the architecture for AI and data products spanning forecasting, optimization, simulation, GenAI and agentic workflows, and defend it in technical review.</li><li>Work in the codebase. Review designs and pull requests, prototype where it resolves ambiguity faster than discussion, and contribute directly when delivery depends on it.</li><li>Own production quality: model robustness, explainability, evaluation, monitoring, latency and cost in service, not only at launch.</li><li>Build on the platform. Consume governed data through the semantic layer and apply CoE guardrails rather than constructing parallel capability.</li></ul> Business and delivery leadership <ul><li>Translate operational problems into technical solutions and, equally, translate technical constraints into terms operations and commercial leadership can act on.</li><li>Own the business case with the business product owner: the benefit hypothesis, the measurement approach and the reported outcome.</li><li>Lead without direct authority across engineering, data science, operations and regional teams, including delivery through the capability center and vendor partners.</li><li>Work from the frontline.</li><li>Regular Gemba at stations, with operational understanding built firsthand.</li></ul> Requirements: <ul><li>10+ years in engineering, applied AI or data science, with a substantial portion spent building and running systems in production rather than specifying them.</li><li>Demonstrable record of owning technical products end to end and scaling them beyond a first implementation into multi site or multi-market operation.</li><li>Depth in one or more of: forecasting (time series, probabilistic, hierarchical), optimization (MIP, LP, heuristics), simulation, or production GenAI and agentic systems, with working literacy across the others.</li><li>Strong Python and SQL, with practical command of the modern data and ML stack: cloud data platforms, pipelines, model deployment, evaluation and monitoring.</li><li>Experience influencing senior stakeholders and operating across engineering, operations and commercial functions without direct reporting lines.</li><li>Aviation, logistics or complex physical operations exposure is an advantage, not a prerequisite.</li></ul> Qualifications <ul><li>Bachelors, MSc or PhD in Computer Science, Engineering, Data Science, Mathematics, Operations Research or a related field. Personal characteristics</li><li>Technical credibility earned through building, not through managing builders.</li><li>Judgement on trade-offs between scope, speed and quality, with the confidence to decide under incomplete information.</li><li>Clear communication with engineers, operators and executives, adjusting register without losing precision.</li><li>Comfort with ambiguity and being accountable for outcomes rather than activity.</li></ul>

Responsibilities: <ul><li>Manage key accounts and develop strong relationships with customer stakeholders.</li><li>Identify and pursue business development opportunities to grow revenue in the Aerospace, Defense, and Marine sectors.</li><li>Manage direct global accounts and OEM business.</li><li>Provide technical solutions to government, PSU, and defense-sector customers.</li><li>Manage customer communication and maintain regular contact with key decision-makers.</li><li>Prepare and manage quotations, proposals, offers, and project contracts.</li><li>Lead commercial discussions, pricing, and contract negotiations.</li><li>Collaborate with channel and distribution partners to support business growth.</li><li>Identify customer needs and develop solution-oriented proposals.</li><li>Generate new business opportunities and close direct sales deals.</li></ul> Requirements: <ul><li>B.Tech in Mechanical, Electrical, or Electronics Engineering.</li><li>At least 5 years of relevant experience in a customer-facing role.</li><li>Experience in key account management and business development.</li><li>Proven experience handling direct OEM business.</li><li>Demonstrated success closing direct business deals.</li><li>Experience preparing offers, quotations, proposals, and presentations.</li><li>Proficiency in Microsoft Excel and presentation tools.</li><li>Required Skills and Competencies</li><li>Strong customer relationship management skills.</li><li>Excellent communication and interpersonal skills.</li><li>Strong influencing, selling, and negotiation abilities.</li><li>Solution-oriented approach and basic problem-solving skills.</li><li>Creative approach to identifying business opportunities.</li><li>Resilience and adaptability in a changing business environment.</li><li>Ability to work effectively with customers, internal teams, and channel partners.</li></ul>

Role Description: <ul><li>Supply Planning Leader is accountable for end-to-end supply planning across an assigned product portfolio and multiple distribution centers.</li><li>The role ensures timely, cost-effective product availability while balancing customer service, inventory health, working capital, capacity, and logistics performance. This leader converts demand into feasible supply plans, manages risks and constraints, and drives cross-functional execution and continuous improvement in a global, matrix environment.</li></ul> Responsibilities: <ul><li>Develop and execute supply plans aligned with customer demand, inventory targets, business priorities, capacity, material availability, supplier constraints, and transportation lead times.</li><li>Ensure finished-goods availability and timely replenishment across distribution centers, regional warehouses, and source plants by driving MRP recommendations and monitoring plan adherence.</li><li>Lead weekly and monthly supply reviews and actively support S&amp;OP and S&amp;OE by providing supply status, reviewing demand outlook, recommending trade-offs, and driving approved actions.</li><li>Optimize safety stock, MRP policies, inventory deployment, stock coverage, turns, availability, and working capital while maintaining healthy inventory levels.</li><li>Manage phase-in and phase-out planning for the assigned portfolio.</li><li>Identify demand-supply gaps, capacity bottlenecks, material constraints, revenue risks, and service opportunities; lead root-cause analysis, recovery plans, prioritization, and allocation decisions.</li><li>Support customer-service targets, including Fill Rate, STR, OTIF, and PP Confirmation, by aligning commitments with realistic supply capabilities.</li><li>Partner with Demand Planning, Procurement, Manufacturing, Logistics, Customer Service, Product Management, and Sales on material availability, inventory strategy, supply risks, and executive reviews.</li><li>Prepare monthly and annual inventory and freight projections and improve sourcing and transportation economics, including ocean buying from source.</li></ul> Requirements: <ul><li>Bachelor’s degree in Supply Chain Management, Engineering, Operations, Business, or a related field.</li><li>10+ years of experience in supply planning, materials planning, inventory management, manufacturing, distribution, OEM, automotive, industrial, or aftermarket environments.</li><li>At least 4 years of team-leadership experience, with demonstrated stakeholder management, influencing, communication, and problem-solving capability.</li><li>Experience working effectively in fast-paced, global, matrix, and ambiguous environments.</li><li>Strong knowledge of supply and demand planning, forecasting, inventory optimization, capacity and constraint management, distribution networks, transportation, warehousing, and S&amp;OP/S&amp;OE.</li><li>Proficiency in SAP MRP and inventory planning, SAP IBP, and advanced Microsoft Excel; strong Microsoft PowerPoint and analytics capability.</li></ul>

Responsibilities: <ul><li>Lead the COPC team</li><li>Lead and responsible for day-to-daye operations to ensure SLAs and all deliverables are met</li><li>Streamline processes to reduce operating cost and turnaround time without compromising quality and risk.&nbsp;</li><li>Conduct internal reviews / tests to ensure compliance</li><li>Assist with data analysis, report findings, recommend corrective actions and preventive actions for review.&nbsp;&nbsp;</li><li>Proactively manage and resolve customers’ and business units’ feedback and queries promptly</li><li>Drive operations related projects &amp; process improvements</li><li>Lead and coach staff to a high standard of performance, productivity and service quality</li><li>Ensure that the Bank’s policies, guidelines, operations control and compliance requirements are strictly adhered to;</li><li>Ensure that operation procedures are kept up to-date;</li><li>Identify opportunities to improve productivity, efficiency and service quality in the team and within the division while assuming the role as a mentor to coach staff to ensure high standard of performance, productivity and service quality</li><li>Candidate must come from banking industry and done / doing cards operations. This is to manage total HC of 70 (incl TL &amp; Dep TL).</li></ul> Requirements: <ul><li>Bachelor’s degree</li><li>At least 10 years of retail banking operations, especially in Credit/Debit Cards Operations&nbsp;</li><li>At least 10 years of team management experience with a minimum size of 20</li><li>Able to multi-task and cope with change and diversity in a fast-paced environment</li><li>Experience in change management projects, including successful RPA and automation implementations.</li><li>Strong organizational and management skills with strong leadership qualities</li><li>Strong analytical and problem-solving skills</li><li>Strong interpersonal and communication skills with excellent verbal/written communication and interpersonal skills</li><li>Ability to think objectively and think outside the box when analyzing issues</li><li>Ability to work under pressure</li></ul>

Role Description: <ul><li>Lead and supervise end-to-end supply chain planning for New Product Introduction (NPI) and New Product Development (NPD) projects at the Shirwal plant.</li><li>The role converts project requirements into executable material, production, capacity, inventory, packaging and logistics plans from early project gates through prototype, validation, pilot build, PPAP/PSW, SOP and ramp-up.</li><li>The position ensures launch readiness, timely risk escalation, disciplined SAP planning and structured handover to the regular MRP planning team after SOP.</li></ul> Responsibilities: <ul><li>Team Leadership &amp; Governance: Lead the NPI planning team, assign project ownership, review priorities and represent supply chain in plant and project launch reviews.</li><li>NPI Planning &amp; Launch Readiness: Own supply chain deliverables from early project gates through prototype, validation, pilot, PPAP, SOP and ramp-up, ensuring material and capacity readiness.</li><li>SAP, Master Data &amp; Material Planning: Ensure timely setup of parts, BOMs, routings, sourcing and MRP parameters. Convert project demand into executable material plans and manage shortages and MRP exceptions.</li><li>Supplier &amp; Cross-Functional Coordination: Coordinate with Procurement, Suppliers, Engineering, Quality, Operations, Logistics and Project Management to secure materials, tooling, packaging, capacity and shipment readiness.</li><li>Risk, Cost &amp; Change Management: Maintain launch risk visibility and control engineering-change, inventory, premium-freight, capacity and obsolescence exposure through timely recovery actions and escalation.</li><li>Performance Improvement &amp; Handover: Standardize NPI planning dashboards and routines, improve data quality and automation, and complete a controlled handover to the series MRP controller after SOP. KEY DELIVERABLES / SUCCESS MEASURES</li><li>On-time completion of NPI supply chain deliverables and gate commitments.&nbsp;</li><li>Material availability and build readiness for prototype, validation, pilot, PPAP and SOP events.</li><li>Accurate BOM, sourcing and MRP master-data readiness before planning execution.</li><li>Clear visibility of shortages, capacity constraints, inventory exposure, freight risk and recovery dates.</li><li>On-time PPAP/PSW support, SOP achievement and stable ramp-up without avoidable customer disruption.</li><li>Controlled inventory, premium freight and obsolescence exposure through early risk management.</li><li>Timely and complete handover from NPI planning to regular series planning after SOP.</li></ul> Requirements: Technical Skills <ul><li>SAP planning and procurement processes (MRP, stock/requirements analysis, material master, PR/PO and inventory visibility) - mandatory.</li><li>Advanced Microsoft Excel, including analytical models, PivotTables, lookups, dashboard preparation.</li><li>Power BI or an equivalent reporting and visualization tool.</li><li>Working knowledge of BOMs, routings, capacity planning, production scheduling, inventory planning, supplier lead times and logistics.</li><li>Good understanding of automotive NPI/NPD phases, PPAP/PSW readiness.</li><li>Bachelors degree, preferably in Engineering, Supply Chain, Operations or a related discipline.</li><li>MBA or equivalent postgraduate qualification is preferred.</li><li>Strong analytical, problem-solving and data-management capability.</li><li>Clear communication, stakeholder management and cross-functional partnership skills.</li><li>Working knowledge of automotive manufacturing, launch planning and project-gate governance.</li><li>3 to 7 years of relevant experience in supply chain, material planning, production planning or NPI/NPD planning within a manufacturing environment.</li><li>Experience managing material and capacity readiness for new product launches from prototype through SOP and ramp-up.</li><li>Hands-on experience with SAP MRP, planning master data, shortage management and supplier follow-up.</li><li>Experience coordinating across Project Management, Engineering, Quality, Operations, Procurement and Logistics.</li><li>People leadership or team-coordination experience, with evidence of disciplined follow-up and escalation.</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>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>

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186 learning environment Jobs found

Senior AI Engineer

Cloud Engineering Manager

Division Manager - VP2

Lead, AI & Data Products (Technical)

Account Manager

Supply Planning Leader

Head of Card Operations

Supervisor Supply Chain

Customer Experience Director

Inside Sales Engineer

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Senior AI Engineer

Cloud Engineering Manager

Division Manager - VP2

Lead, AI & Data Products (Technical)

Account Manager

Supply Planning Leader

Head of Card Operations

Supervisor Supply Chain

Customer Experience Director

Inside Sales Engineer

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WhiteCrow is on a mission to connect companies with the best talent across the globe.