Software Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Cloud Engineering Manager

Technology Obsolescence - Task force - Data Specialist (VP1)

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Lead, AI & Data Products (Technical)

Customer Experience Director

Regional Manager

Product Manager, Women’s Health BU

Responsibilities: As a member of our Software &amp; Platform Engineering team, you will:&nbsp; <ul><li>Develop traditional and serverless applications and services in an agile and collaborative environment using source control that integrate with data storage services/message buses and other architectural elements&nbsp;</li><li>Deploy these applications using features such as containers to the cloud, leveraging CI/CD to support this process, backed with good observability when running these in production&nbsp;</li><li>Ensure quality through the creation of documentation and use of unit/integration/contract testing with a consideration of security/performance requirements.&nbsp;</li></ul> Requirements: As a Software Engineer, you will:&nbsp; <ul><li>Design, develop, and implement cutting-edge digital applications to address unique business challenges across various industries.&nbsp;</li><li>Collaborate with cross-functional teams to create innovative and effective solutions.&nbsp;</li><li>Develop both traditional and serverless applications in an agile and collaborative environment, integrating with data storage services, message buses, and other architectural elements.&nbsp;</li><li>Use modern deployment methods, such as containers and cloud services, supported by CI/CD pipelines and strong production observability.&nbsp;</li><li>Ensure high-quality outcomes through robust documentation and comprehensive testing (unit, integration, and contract testing), considering security, accessibility, and performance requirements.&nbsp;</li></ul> We are looking for experience in the following skills:&nbsp; <ul><li>Industry experience in one of following: Java / Typescript / C# / Python / Go.&nbsp;</li><li>Experience with Cloud Native technologies on AWS.&nbsp;</li><li>Experience in building automation tools to support CI/CD pipelines. Set yourself apart:&nbsp;</li><li>A creative and analytical approach to problem-solving.&nbsp;</li><li>Strong debugging and troubleshooting skills to resolve complex technical issues.&nbsp;</li><li>Excellent communication and collaboration skills to work effectively in diverse teams.&nbsp;</li><li>Proven experience shaping and delivering work across small to medium-sized projects&nbsp;</li><li>Experience in Financial Services.&nbsp;</li></ul>

Responsibilities: Deploy and Land: <ul><li>Own end-to-end delivery of AI and analytics products at stations in your region.</li><li>Cover discovery, scoping, development, integration, user acceptance testing (UAT), hypercare and rollout.</li><li>Embed with operations.</li><li>Participate in business stand-ups.</li><li>Visit the ramp and cargo floor.</li><li>Understand local data realities rather than making assumptions.</li><li>Ship production code in Python and comparable stacks against live flight, cargo, workforce and equipment data.</li><li>Avoid handing over prototypes for someone else to productionise.</li><li>Scale deployment by reducing the cost and time required to deploy solutions across additional stations.</li><li>Achieve this through reusable integrations, configuration and runbooks.</li></ul> Build on the Platform, Not Around It: <ul><li>Consume data through the semantic layer and governed data platform.</li><li>Avoid parallel pipelines, local definitions and workarounds.</li><li>Apply Centre of Excellence (CoE) patterns and guardrails.</li><li>Follow reference architectures, AI registry, human-in-the-loop controls, access and residency rules.</li><li>Integrate GenAI and ML into workflows.</li><li>Implement RAG and retrieval patterns.</li><li>Implement agentic and tool-use patterns.</li><li>Apply evaluation frameworks.</li><li>Establish observability.</li><li>Maintain production cost control.</li></ul> Make Insight Self-Service: <ul><li>Build data products, not report queues.</li><li>Design governed, reusable datasets and semantic models.</li><li>Enable operations teams, airlines and forwarders to answer their own questions.</li><li>Put insight in front of the customer.</li><li>Deliver station and customer-facing analytics.</li><li>Enable natural-language access to operational data.</li><li>Ensure appropriate access, residency and confidentiality controls.</li><li>Design for the user, not the requester.</li><li>Ensure every product identifies the decision it changes and the person responsible for making it.</li><li>Instrument usage.</li><li>Retire products that are not used.</li><li>Consolidate fragmented reporting rather than extending it.</li></ul> Close the Loop: <ul><li>Feed field learnings back.</li><li>Convert integration problems into hardened patterns for the CoE and requirements for the platform team.</li><li>Own adoption and benefits.</li><li>Instrument deployments.</li><li>Track usage and benefits against the business case.</li><li>Report results accurately.</li><li>Be the technical face to the business and customers.</li><li>Translate between operations, the CoE and platform engineering.</li><li>Success in the First 12 Months</li></ul> Requirements: Experience: <ul><li>6+ years of experience in software or ML engineering.</li><li>Experience must include customer-facing or business-embedded delivery.</li><li>Demonstrated track record of scoping and delivering complex systems end to end in ambiguous, fast-moving environments.</li><li>Ability to remain accountable after go-live.</li><li>Production experience with LLM or ML systems.</li><li>Experience with prompt and agent design.</li><li>Experience with RAG.</li><li>Experience with evaluation frameworks.</li><li>Experience with deployment at scale.</li><li>Understanding of how model behaviour influences product experience.</li><li>Strong Python and API development skills.</li><li>Experience with FastAPI or equivalent.</li><li>Comfortable working across backend and frontend development.</li><li>Ability to build a working system independently.</li><li>Practical experience with Docker.</li><li>Practical experience with Kubernetes.</li><li>Practical experience with CI/CD.</li><li>Practical experience with cloud data platforms.</li><li>Experience integrating batch and real-time data against complex enterprise data sources.</li><li>Strong understanding of analytics.</li><li>Experience with semantic and dimensional modelling.</li><li>Knowledge of modern BI.</li><li>Experience designing data products that non-technical and external users can operate independently.</li><li>Aviation, logistics or complex operations experience is advantageous but not mandatory.</li><li>Willingness to learn operations directly from the operational floor is essential.</li></ul> Qualifications: <ul><li>Bachelors, MSc or PhD in Computer Science, Engineering, Mathematics or a related field.</li></ul>

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: Data Collection &amp; Integration: Collect and consolidate data from multiple sources, including: <ul><li>CMDB platforms (e.g., Remedy)</li><li>IT Asset Management (ITAM) systems</li><li>Vendor lifecycle and support data</li><li>Security, vulnerability, and patching sources</li><li>Ensure data consistency and alignment across asset, configuration, and lifecycle repositories</li><li>Validate data accuracy, completeness, and currency</li></ul> Technology Obsolescence Analysis: <ul><li>Identify EOL, EOS, and obsolete technologies across hardware, software, OS, databases, middleware, and cloud services</li><li>Analyze lifecycle risks by technology type, vendor, business unit, and criticality</li><li>Support prioritization of remediation based on risk, business impact, and exposure</li></ul> Reporting &amp; Dashboarding: <ul><li>Design, develop, and maintain interactive dashboards and reports using:</li><li>Power BI / Tableau</li></ul> Create Standard Views Covering: <ul><li>Obsolescence risk heatmaps</li><li>Aging and lifecycle timelines</li><li>Remediation progress and trends</li><li>Compliance and audit‑ready metrics</li><li>Enable self‑service analytics for stakeholders where appropriate</li></ul> CMDB &amp; Asset Management Support: <ul><li>Support the alignment of CMDB data with actual deployed assets</li><li>Identify gaps, redundancies, or inaccuracies in configuration and asset records</li><li>Drive improvements in asset lifecycle tagging, ownership, and criticality classification</li><li>Collaborate with ITSM, ITAM, and platform teams to improve data quality and governance</li></ul> Stakeholder &amp; Decision Support: <ul><li>Provide insights and analysis to:</li><li>Domain leads and task force leads</li><li>Project managers and delivery teams</li><li>Risk, security, and audit stakeholders</li><li>Translate complex data into clear, actionable insights for non‑technical audiences</li><li>Support business case development and roadmap planning with data evidence</li></ul> Data Governance &amp; Continuous Improvement: <ul><li>Define and document data definitions, metrics, and reporting standards</li><li>Automate data refreshes and reporting pipelines where possible</li><li>Identify opportunities to improve lifecycle visibility and predictive risk analysis</li></ul> Requirements: <ul><li>5–8+ years of experience in a data analyst or reporting role within IT or technology functions</li><li>Experience supporting modernization, risk, lifecycle, or transformation initiatives is a strong advantage</li><li>Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or related field</li><li>Power BI or Tableau certification</li><li>ITIL or IT Asset Management certification is a plus</li><li>Data &amp; Analytics Skills</li><li>Strong experience in data analysis and visualization</li><li>Hands on expertise in:</li><li>Power BI (DAX, data modeling, performance optimization)</li><li>Tableau (dashboards, calculated fields, storytelling)</li><li>Strong SQL skills for querying large datasets</li><li>Experience working with structured and semi structured data</li></ul>

Responsibilities: <ul><li>Gather and analyze user requirements for dashboard, monitoring, and reporting enhancements.</li><li>Design, develop, and maintain operational dashboards and monitoring solutions based on business and technical requirements.</li><li>Create, modify, and optimize queries to extract, analyze, and present data for business and operational reporting.</li><li>Develop reports and analytics that provide actionable insights into system performance, availability, and operational health.</li><li>Support and administer enterprise monitoring tools such as Splunk and Geneos.</li><li>Troubleshoot monitoring alerts, dashboard discrepancies, and reporting-related issues.</li><li>Participate in system implementation, enhancement, testing, and deployment activities.</li><li>Ensure compliance with organizational standards, governance, and audit requirements.</li><li>Prepare and maintain technical documentation, user guides, and operational procedures.</li><li>To identify area of monitoring coverage to be improved; and work with relevant teams to enable monitoring solution to improve monitoring coverage.</li><li>To identify area of triage efficiency to be improved; and work with relevant teams to implement solution to improve triage efficiency.</li><li>To identify area of automation of service recovery ability to be improved; and work with relevant teams to implement solution to automate service recovery ability.</li><li>To work with various stakeholders (i.e., service automation, level 2 (group) and level 3 production support etc) to implement application monitoring, service end-to-end dashboard, and automation of service recovery.</li></ul> Requirements: <ul><li>Strong hunter mentality with a passion for creating new business opportunities and opening new partner relationships.</li><li>Experience in business development, channel sales, partner sales, technology sales, or customer acquisition roles.</li><li>Comfort with outbound prospecting, cold outreach, networking, pipeline generation, and opportunity development.</li><li>Understanding of cloud technologies, managed services, software licensing, cybersecurity, or broader IT solutions.</li><li>Strong commercial acumen with the ability to influence stakeholders and build strategic business relationships.</li><li>Self-motivated, resilient, and driven by achieving growth targets, partner acquisition goals, and business outcomes.</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: 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>

Role Overview:&nbsp; <ul><li>The Regional Sales Manager will be responsible for driving business development to achieve the sales objectives across the assigned countries in the region through effective distributor network, user demand generation. </li><li>The role includes building and developing a high-performing local team and ensuring operational excellence to meet business objectives.</li></ul> Responsibilities:&nbsp; Sales Management, Business Development to drive differential growth:&nbsp; <ul><li>Achieve overall regional sales targets while ensuring growth of focused products and implementing initiatives to gain market share.</li></ul>&nbsp;Drive Business Development to generate demand from users: <ul><li>Co-create and execute plans for business development initiatives through demand generation modules for key products.</li><li>Driving Field Marketing and User connect through laid down modules- ensuring consistency and reviewing for impact.</li></ul>&nbsp;Competition Fighting &amp; Counteraction: <ul><li>Assess competition in our key categories and implementing strategies to counter them with requisite plans</li></ul>&nbsp;Pricing Management &amp; Margin Delivery: <ul><li>Achieve targeted margin for focused products through mix improvement and implementing requisite pricing actions</li></ul>&nbsp;Distributor/Importer Management: <ul><li>Develop suitable distributors for business delivery and manage relationships while conducting appropriate performance reviews.</li></ul>&nbsp;Drive Commercial Hygiene: <ul><li>Manage receivables to ensure timely collections while minimizing financial exposure through appropriate payment terms.</li></ul>&nbsp;People Management: <ul><li>Recruit the right talent for identified roles.</li><li>Provide training, development &amp; conduct high quality of review based on the set business objectives&nbsp;</li></ul> Requirements: Qualifications &amp; Experience:&nbsp; <ul><li>Education: Bachelor’s degree in business, MBA Preferred.</li><li>Experience: 10-12 years in Sales &amp; business development roles, including 3-4 years in regional management.</li><li>Languages: English</li></ul>&nbsp;Required Skillsets:&nbsp; <ul><li>Can Do Will Do and Drive Initiatives independently with a set of team members.</li><li>Strong Commercial &amp; Analytical</li><li>Entrepreneurial mindset with ability to spot opportunities and convert them to Business Initiatives.</li><li>Ability to lead teams &amp; set higher benchmarks</li></ul>&nbsp;

Responsibilities: <ul><li>Write and run the yearly brand plan for each product in the portfolio.</li><li>Set the position, target doctors and key messages. Check them against what you hear in the field.</li><li>Plan and run launches, campaigns, doctor meetings and education events.</li><li>Build and keep good relations with key opinion leaders and top O&amp;G specialists.</li><li>Work with the sales team on targets, call plans and tools. Join field visits and listen to customers.</li><li>Track sales, share and campaign results each month. Report what is working, what is not and what to do next.</li><li>Study the market and competitors. Suggest new products and ways to grow.</li><li>Plan forecasts and stock with Supply Chain and our distributors.</li><li>Work with Medical Affairs and Regulatory so all material is accurate and approved.</li><li>Manage the brand budget and spend it where it counts.</li><li>Work closely with the Sales and Marketing Manager in Singapore and with the Junior Marketer. Coach the Junior Marketer on the work for your BU, and share ideas and materials across both markets.</li></ul> Requirements: <ul><li>Degree in Pharmacy, Life Sciences, Business or a related field.</li><li>At least 3 years in pharma product management, marketing, or sales with strong product exposure.</li><li>Knowledge of the Malaysia market. Experience in women’s health, O&amp;G or fertility is a strong plus.</li><li>Experience with brand plans and product launches.</li><li>Good with numbers. Able to read sales data and make clear recommendations.</li><li>Clear communication and presentation skills. Good at working with sales, medical and distributor teams.</li><li>Well organised, self-driven and comfortable in a lean team.</li><li>Fluent English. Bahasa Malaysia is an advantage.</li></ul>

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Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Cloud Engineering Manager

Technology Obsolescence - Task force - Data Specialist (VP1)

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Lead, AI & Data Products (Technical)

Customer Experience Director

Regional Manager

Product Manager, Women’s Health BU

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129 marketing cloud Jobs found

Software Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Cloud Engineering Manager

Technology Obsolescence - Task force - Data Specialist (VP1)

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Lead, AI & Data Products (Technical)

Customer Experience Director

Regional Manager

Product Manager, Women’s Health BU

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

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