Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Lead, AI & Data Products (Technical)

Senior Team Lead

Supply Planning Leader

Material Planning Analyst

Senior Manager – Technology Transformation

Supplier Development Process Engineer

Supervisor Supply Chain

Product Manager

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: <ul><li>Lead &amp; participate in the design, development, and maintenance of FMF-related applications.&nbsp;&nbsp;</li><li>Conduct impact analysis and internal data mapping during the design phase.&nbsp;&nbsp;</li><li>Collaborate with business analysts and stakeholders to finalize technical requirements.&nbsp;&nbsp;</li><li>Perform defect analysis and resolution.&nbsp;&nbsp;</li><li>Write and maintain Unix/Linux shell scripts to support automation and integration.&nbsp;&nbsp;</li><li>Execute SQL queries and updates to support application logic and reporting.&nbsp;&nbsp;</li><li>Manage and mentor junior developers, ensuring quality and timely delivery.&nbsp;&nbsp;</li><li>Coordinate with testing, infrastructure, and compliance teams to ensure smooth deployment and support.&nbsp;&nbsp;</li><li>Provide regular updates to project managers and escalate risks/issues with proposed resolutions.&nbsp;&nbsp;</li><li>Lead technical implementation of vendor products (e.g., Firco™ Continuity).&nbsp;&nbsp;</li><li>Perform gap analysis between internal requirements and vendor product capabilities.&nbsp;&nbsp;</li><li>Liaise with vendors to address product limitations, customization needs, and integration challenges.&nbsp;&nbsp;</li><li>Ensure compliance with internal standards and regulatory requirements during implementation.&nbsp;&nbsp;</li><li>Document technical specifications, deployment procedures, and support guides.&nbsp;</li></ul> Requirements&nbsp;&nbsp; <ul><li>Experienced in software development roles, with at least 2 years in a senior or lead capacity.&nbsp;&nbsp;</li><li>Proven eperience in banking or financial services, especially in compliance or payments.&nbsp;&nbsp;</li><li>Strong understanding of SDLC processes and experience in technical design and impact analysis.&nbsp;&nbsp;</li><li>Experience implementing and managing vendor products in enterprise environments.&nbsp;&nbsp;</li><li>Proficient in Unix/Linux shell scripting and SQL.&nbsp;&nbsp;</li><li>Hands-on experience with Java for defect resolution and enhancements.&nbsp;&nbsp;</li><li>Familiarity with payment technologies (SWIFT messaging, transaction flows) and AML systems&nbsp;&nbsp;</li><li>Experience with DevOps practices and CI/CD tools (Jenkins, Artifactory, SonarQube) will be an added&nbsp;</li><li>advantage&nbsp;&nbsp;</li><li>Degree in Computer Science, Engineering, or a related field.&nbsp;&nbsp;</li><li>Additional certifications in payment or compliance technology are advantageous&nbsp;&nbsp;</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>

Role Description: <ul><li>The purpose of this role is to make product available to meet customer demand – and that includes delivery to the appropriate location, on time, in sufficient quantity.</li><li>Supply chain role is focused on doing that in the most efficient and effective way.</li></ul> Responsibilities: <ul><li>Order management, shortage management, meet or exceed desired service levels and inventory targets as defined</li><li>To focus on part availability, on time delivery to the customer, Quality and Cost Reduction by utilizing resources effectively.</li><li>Driving supply chain and logistics excellence and ensuring the compliance of all statutory requirements in order to achieve Business goals.</li><li>Provide innovative planning and logistics solutions to find and implement efficiencies with cross-functional teams</li><li>Drive and assist in the identification and implementation of continuous improvement opportunities and customer satisfaction opportunities to deliver superior service.</li><li>Support procurement exercises by providing operational market intelligence and benchmarking.</li><li>Use of technological tools and internal data to generate reports that detail efficiencies as well as areas needing improvement.</li><li>Responsible for Inter Company procurement &amp; allocations from vendors in US/Europe/Asia</li><li>Scheduling and Releasing order on affiliates located all over the world as per the domestic requirement.</li><li>Taking order confirmation and ensuring shipments are handed over to forwarder in time</li><li>Oversee execution of shipments in different ways like Sea, Air Freight &amp; Couriers from different origins like Europe, Korea, Japan, USA, Thailand, Brazil etc. in co-ordination of different freight forwarders.</li></ul> Requirements: Technical Skill <ul><li>SAP MM.</li><li>Advance Excel EDUCATION/KNOWLEDGE.</li><li>Graduate Degree holder from any stream – Preferably Engineering.</li><li>Good knowledge of SAP or a similar ERP-system.</li><li>Excellent communication and partnership skills with CFTs.</li><li>Minimum 2-3 years working experience in Supply Chain functions.</li><li>Experience with SAP is highly desirable.</li><li>Exposure to Data Analytical tools and Data Management would be added advantage.</li><li>Innovation demeanor Problem solving.</li><li>Passion for technology.</li><li>Results driven.</li><li>Clear and concise communication.</li></ul>

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

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>

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 : <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>

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226 product returns Jobs found

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Lead, AI & Data Products (Technical)

Senior Team Lead

Supply Planning Leader

Material Planning Analyst

Senior Manager – Technology Transformation

Supplier Development Process Engineer

Supervisor Supply Chain

Product Manager

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226 product returns Jobs found

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Lead, AI & Data Products (Technical)

Senior Team Lead

Supply Planning Leader

Material Planning Analyst

Senior Manager – Technology Transformation

Supplier Development Process Engineer

Supervisor Supply Chain

Product Manager

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