Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Lead, AI & Data Products (Technical)

Supplier Development Process Engineer

Finance Analyst III (Plant Operations)

Product Manager

Customer Experience Director

Tax Accountant

L3 Lead -  (Datamart/MXML/Risk)

Product Manager, Women’s Health BU

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>

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: Cross function collaboration: <ul><li>Coordinate Procurement, SQE, PDE, MPDE, Engineering Assess and document manufacturing capability, process maturity, and QMS compliance during PCBA new supplier qualification/Development.</li><li>Engage upstream and downstream raw material partners to improve delivery capability, capacity alignment, and supplier responsiveness.</li><li>Organize and lead regular cross-functional reviews with PDE, MPDE, and suppliers to address delivery risks, manufacturing readiness, and improvement actions.</li><li>Track and drive closure of cross-functional and supplier action items, escalating gaps as needed.</li></ul> NPI stage: <ul><li>Provide early manufacturing and engineer support for PCBA commodities from a sourcing and supply chain perspective to support supplier selection decisions (critical).</li><li>Conflict Management: Coordinate and facilitate DFM (Design for Manufacturing) discussions with suppliers, and Engineering to ensure manufacturing requirements are clearly understood and accepted (no design decision ownership).</li><li>Assess and document manufacturing capability, process maturity, and QMS compliance during PCBA new supplier qualification.</li><li>Act as a coordination interface between Procurement and Engineering, ensuring alignment on quality, commercial, and technical expectations without assuming design ownership.</li></ul> Approved Supplier Management: <ul><li>Drive yield, process stability, and delivery performance improvements at supplier sites.</li><li>Collaborate with suppliers and key supply chain nodes to improve lead time and delivery reliability, supporting company sample and production needs.</li><li>Partner with CM and Procurement to support SRM programs for strategic PCBA suppliers, with close tracking of action plan execution.</li><li>Facilitate cross-functional supplier improvement workshops (e.g. CoPQ reduction, lead time optimization) as a neutral coordinator, ensuring clear ownership and accountability.</li><li>Monitor progress and escalate unresolved issues where action items are not closed as committed.</li></ul> Requirements: <ul><li>Bachelor’s degree in Electrical / Automation/ Mechanical or any Engineering related majors.</li><li>At least 7 years of MPDE experience within PCBA (Industry relevant), connector and cable assembly Quality Management portion. Procurement, supply chain experience OR Total years of experience 10+ years in various industries including PCBA.</li><li>Knowledge on specific product and process as required (Connectors, Cable and Cable Assemblies, PCBA Tolerances and Cost Drivers)&nbsp;</li><li>In-depth knowledge of electronic manufacturing processes such as PCBA assembly (SMT/THT), box build, testing, and packaging</li><li>Understanding of supplier capabilities, capacity planning, and EMS operating models</li><li>Familiarity with DFM/DFA (Design for Assembly), component sourcing, and BOM management</li><li>Awareness of quality systems, certifications (ISO 9001,IATF 16949 and IPC- Association Connecting Electronics Industries), and related compliance standards</li><li>Ability to work with EMS partners on cost, yield, lead time, and continuous improvement</li><li>Experience supporting NPI, supplier qualification, and scale-up to mass production</li><li>Expert level with the tools related to supplier APQP process, include but not limited to PPAP, FMEA, CP, MSA, SPC, R@R and 8D methodology is a Plus.</li><li>Thorough knowledge of Problem-Solving tools (5-Why, Ishikawa/Fishbone diagrams, Fault Tree</li><li>Analysis)</li></ul>

Responsibilities: Planning and Budgeting&nbsp;: <ul><li>Assist on annual budget preparation.&nbsp;</li><li>Assist on monthly forecast preparation.&nbsp;</li><li>Track weekly forecast variance. In order to provide accurate and timely reports.&nbsp;&nbsp;</li></ul> Inventory Risk tracking/Analysis&nbsp;: <ul><li>Inventory reserve preparation&nbsp;</li><li>High light inventory risks and opportunities monthly&nbsp;</li><li>Monitor inventory physical count.&nbsp;</li><li>In order to comply with corporate policies and risk control&nbsp;&nbsp;</li></ul> Costing&nbsp;accounting&nbsp;: <ul><li>Data prepare(Mater master/Routine/Std cost);&nbsp;</li><li>Month ending JE booking&nbsp;</li><li>PPV program and analysis&nbsp;</li><li>Mat. usage analyzing&nbsp;&nbsp;</li><li>Production scrap report preparing&nbsp;&nbsp;</li></ul> FA accounting&nbsp;: <ul><li>Familiar with Capital Assets policy and comply with the policy(Include local policy)；&nbsp;</li><li>Prepare FA management report(Acquisitions, disposal, transfer etc.) and leading fixed&nbsp;</li><li>assets physical count&nbsp;</li><li>Issuing Asset Tags to assets responsible department&nbsp;</li><li>Intercompany Transfers of Fixed Assets data preparing and follow to financial posting&nbsp;</li><li>Follow Open PO&amp;IO&amp;CIP tracking report by month&nbsp;</li><li>CER review and budget control with report and management.&nbsp;</li></ul> Requirements: <ul><li>At least bachelor’s degree in finance/accounting/taxation or related.&nbsp;</li><li>Over 7-10 years working experience in Finance, costing managerial position is preferred&nbsp;&nbsp;</li><li>Good knowledge and experience in costing of manufacturing.&nbsp;Understand how to manage&nbsp;</li><li>and improve Mfg. variance.&nbsp;&nbsp;</li><li>Good knowledge and experience in SAP.&nbsp;</li><li>Fluent English Mandarin, both written and oral (Added Advantage)</li><li>Strong will to learn and develop the skills.&nbsp;</li></ul>

Responsibilities : <ul><li>Engage executive and corporate users to understand needs, decision workflows and pain points.</li><li>Translate requirements into clear product definitions, user stories and acceptance criteria.</li><li>Run structured discovery and experimentation to validate value and feasibility before build commitments are made.</li><li>Identify opportunities to extend assigned products from task-level support to broader workflow automation, and contribute these to the product roadmap.&nbsp;</li><li>Own the end-to-end delivery of assigned AI products, including Rocket, from definition through to launch.</li><li>Ensure quality, usability and readiness criteria are met before release to a senior user base.&nbsp;</li><li>Own assigned products after launch, driving iterative improvement based on usage data and user feedback.</li><li>Define, track and report product KPIs covering adoption, usage, accuracy, satisfaction and time saved.</li><li>Register and maintain AI use cases for assigned products within the agreed portfolio management process.&nbsp;</li><li>Act as the day-to-day product interface for executive and corporate stakeholders.&nbsp;</li></ul> Requirements: <ul><li>3 – 6 years of experience in digital or AI product management, product ownership or equivalent delivery roles.&nbsp;</li><li>Bachelor’s degree in a quantitative field such as information technology, business, finance, engineering or mathematics.&nbsp;</li><li>Hands-on experience in product management across discovery, delivery and lifecycle.&nbsp;</li><li>Exposure to AI, automation or data-driven products.&nbsp;</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>Plan technical and functional deliverables (including any system enhancements and upgrades) to meet project’s requirements within allocated budget and schedule.</li><li>Plan, monitor and manage risks/issues related to technical delivery. </li><li>Take ownership of any issues that may impact the delivery quality and timeline.</li><li>Provide status update related to technical delivery to TDM/Project Manager (PM)/ Program Manager.</li><li>Plan &amp; allocate resources to support EOD tasks &amp; day to day Production tasks requiring assistance.</li><li>Oversee the deployment tasks, arrange for peer review of codes, maker-checker assignment &amp; updating status to release team.</li><li>Own the delivery plan. Escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions. Follow up on the proposed solution and fix the problem</li><li>Manage stakeholders throughout the duration of the role. Ensure project governance is adhered to, any changes are documented and approved</li></ul> Requirements: <ul><li>Bachelors degree in computer science, engineering or similar domain</li><li>Strong Murex skills (Datamart/MXML/Risk)</li><li>Good business domain knowledge in Global Markets and Group Risk</li><li>More than 10 years track record in developing and delivering global/regional IT capabilities for a multi-national/regional company with annual budgetary responsibility</li><li>More than 3 years leadership experience in managing IT delivery teams</li><li>Experience in communicating with functional and technical stakeholders</li><li>Experience in banking industry preferred</li><li>Experience in implementing large-scale, highly available applications or other large project implementation</li><li>Experience in service-oriented technologies</li><li>Proven result-oriented person with a focus on delivery</li><li>Experience in actual systems development work, with prior coding, functional specifications and technical specifications and systems development and testing experience (in aggregate no less than 8 years)</li><li>Good understanding and experience in software development cycle</li><li>Highly effective communicating with technical stakeholders, proficient communicating with non-technical stakeholders</li><li>Good problem solving, analytical, synthesis, system thinking and solutioning skills</li></ul>

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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119 track record Jobs found

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Lead, AI & Data Products (Technical)

Supplier Development Process Engineer

Finance Analyst III (Plant Operations)

Product Manager

Customer Experience Director

Tax Accountant

L3 Lead - (Datamart/MXML/Risk)

Product Manager, Women’s Health BU

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119 track record Jobs found

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Lead, AI & Data Products (Technical)

Supplier Development Process Engineer

Finance Analyst III (Plant Operations)

Product Manager

Customer Experience Director

Tax Accountant

L3 Lead - (Datamart/MXML/Risk)

Product Manager, Women’s Health BU

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