Supply Chain Analyst

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Senior Executive Accounts Payable

VDI & Endpoint Lead Engineer (AVP)

AVP, Principal Software Engineer (Senior Technical lead)

Production Manager

Operations Manager - Cable

L3 Production Support (AS400, RPG), Core Banking

Roe Description: <ul><li>Transportation Solutions BU makes products for Connecting and Sensing Data, Power and Signal for vehicles ranging from Two wheelers to Heavy Commercial trucks.</li><li>There is a clear business strategy till 2025 to support the business growth. The growth is driven mainly driven from localization of Core India Specific products and also New technology products.</li><li>To establish “Single source of Truth” by integrating and maintaining all Key performance metrics of SCM/CS LIVE through Tableau/Power BI</li><li>To define the Capacity/Demand ratio for each part at each source location and make a trigger mechanism for new capacity&nbsp;</li><li>To optimize the supply network by exploring opportunities to increase sea vs Air movement from Source country to India Warehouse and exploring clubbing opportunities at Source.&nbsp;</li><li>Need to closely work with SCM team and Global Logistics team for integrated results.</li><li>To continuously monitor the ageing stock (SCM) and ageing orders (CS)</li></ul> Responsibilities: Capacity/Demand ratio: <ul><li>Establish the C/D ratio of each part in each source plant and work with Planner for getting enhanced capacity as per demand.</li><li>Also work with Demand team and Sales &amp; Marketing to get validated 24 months forecast</li></ul> Supply Network Optimization: <ul><li>To optimize the supply network by exploring opportunities to increase sea vs Air movement from Source country to India Warehouse and also exploring clubbing opportunities at Source.&nbsp;</li><li>Need to closely work with SCM team and Global Logistics team for integrated results.</li></ul> Monitor ageing stock and orders: <ul><li>To continuously monitor the ageing stock (SCM) and ageing orders (CS) and work with CS/SCM/sales &amp; marketing to liquidate those stocks/orders.</li></ul> Analytics: <ul><li>Work with application and product marketing and managing alternate part master.</li></ul> Requirements:&nbsp; <ul><li>MBA in Supply Chain&nbsp;</li><li>Expertise in Excel</li><li>Understanding of Tableau/Power BI</li><li>Understanding in SAP IBP</li><li>2 to 5 years of experience Handling large scale transformational SCM projects like SAP IBP/APO.</li><li>Extensive exposure to Excel/Macros.</li><li>Experience in Plant production planning.</li><li>SAP IBP - Conduct the IBP execution starting from demand review, supply review and integrated reconciliation</li><li>Strategic agility - Long Term capacity planning.</li><li>Supply network planning - Supply Network optimization by choosing the right network (Factory - SKU’s – Depot) based on the minimum total delivered cost (Freight Cost, Conversion Cost, Raw material cost and Tax benefit).</li><li>Frequency from factory to warehouse).</li><li>Ability to understand customer requirements.</li><li>Stakeholder alignment - Developing relationships and partnerships with key customers, industry leaders and core suppliers.</li></ul>

Role Description: <ul><li>The AI Transformation Engineer is responsible for identifying, evaluating, and deploying AI-enabled solutions that improve engineering productivity, accelerate development activities, and enhance decision-making across ICT Engineering.</li><li>The role serves as the bridge between engineering teams, AI technical specialists, and business stakeholders to ensure AI opportunities are translated into measurable business outcomes. This position leads the implementation lifecycle of approved AI initiatives, from opportunity assessment through deployment and value realization.</li><li>The role focuses primarily on engineering workflows, knowledge work, and business processes where AI can eliminate non-value-added activities, improve engineering effectiveness, and reduce time-to-market.</li></ul> Responsibilities: ﻿Opportunity Identification &amp; Assessment <ul><li>Partner with engineering teams to identify productivity challenges, workflow inefficiencies, and opportunities for AI-enabled improvement.</li><li>Analyze current-state engineering processes and determine the potential value of AI solutions.</li><li>Gather business requirements and define desired outcomes.</li><li>Partner with AI technical specialists to assess technical feasibility and solution options.</li><li>Work with the AI Value Realization Engineer to establish baseline measurements, value estimates, success criteria, and evidence requirements.</li><li>Provide use-case requirements, value assumptions, and implementation estimates to support prioritization and business-case development.</li><li>Determine whether identified opportunities are best addressed through AI, conventional automation, process improvement, or a combination of approaches.</li></ul> Solution Delivery &amp; Deployment <ul><li>Lead execution of approved AI initiatives from pilot through full deployment.</li><li>Coordinate stakeholders across engineering, digital technology, AI development teams, and subject matter experts.</li><li>Manage pilots, validation activities, user testing, and deployment readiness.</li><li>Drive user adoption and organizational change management activities.</li><li>Ensure solutions deliver expected business outcomes and user value.</li><li>Rapidly prototype and evaluate AI-enabled workflows using available enterprise AI platforms, low-code/no-code tools, and workflow automation technologies.</li></ul> Value Realization <ul><li>Own achievement of approved project objectives and targeted business benefits.</li><li>Monitor adoption, usage, and performance of deployed solutions.</li><li>Identify and resolve barriers to implementation success.</li><li>Partner with the AI Value Realization Engineer to validate benefits and track realized value.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering or related technical discipline.</li><li>5+ years of engineering, product development, manufacturing engineering, or related experience.</li><li>Strong understanding of engineering workflows and development processes.</li><li>Experience leading cross-functional projects and driving organizational change.</li><li>Ability to translate business challenges into actionable improvement opportunities.</li><li>Strong communication, facilitation, and stakeholder management skills.</li><li>Demonstrated passion for AI and digital transformation.</li><li>Practical experience applying AI, automation, or digital technologies to engineering or business problems; experience with generative AI, LLMs, AI agents, or workflow automation preferred.</li><li>Experience rapidly prototyping and evaluating AI-enabled workflows using enterprise AI platforms, low-code/no-code tools, or workflow automation technologies.</li><li>Working understanding of LLM capabilities and limitations, including common failure modes, validation approaches, and human-in-the-loop considerations.</li></ul>

Role Description: <ul><li>The AI Analytics &amp; Value Realization Engineer is responsible for ensuring AI initiatives deliver measurable business value across ICT Engineering.</li><li>The role establishes value measurement frameworks, validates benefits, develops performance dashboards, and enables data-driven decision making across the AI portfolio. This position serves as the primary subject-matter expert for AI adoption measurement, business impact reporting, value realization tracking, and portfolio analytics</li></ul> Responsibilities: Value Definition &amp; Business Case Support <ul><li>Partner with AI Transformation Engineers during opportunity assessments.</li><li>Establish baseline metrics, value hypotheses, and expected business outcomes.</li><li>Define standardized measurement methodologies and evidence requirements for AI initiatives, distinguishing between forecast, validated, realized, and sustained business value.</li><li>Develop approaches for measuring engineering productivity and operational benefits, including time savings, cycle-time reduction, quality improvement, throughput, and adoption where direct financial measurement is not feasible.</li><li>Challenge assumptions and ensure value estimates are fact-based and measurable.</li></ul> Portfolio Measurement &amp; Reporting <ul><li>Develop and maintain AI portfolio dashboards and KPI reporting.</li><li>Track solution adoption, utilization, and business impact.</li><li>Collect and analyze deployment performance data.</li><li>Ensure consistent reporting across all AI initiatives.</li><li>Generate monthly reporting for ICT Engineering leadership, ICT AI leadership, and segment AI leadership.</li></ul> Value Realization &amp; Validation <ul><li>Validate achievement of project objectives and business benefits.</li><li>Monitor sustainability of realized benefits after deployment.</li><li>Identify underperforming initiatives and recommend corrective actions.</li><li>Support prioritization decisions using objective performance and value data.</li><li>Develop standardized value realization methodologies and reporting processes.</li><li>Design measurement approaches that compare pre- and post-deployment performance and provide credible evidence that observed improvements are attributable to deployed solutions.</li></ul> Advanced Analytics <ul><li>Perform portfolio analytics and trend analysis.</li><li>Support executive decision-making with actionable insights.</li><li>Maintain data quality and governance standards for AI program reporting.</li><li>Build Power BI dashboards and reporting solutions.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering, Data Analytics, Business Analytics, Statistics, or related field.</li><li>Experience with analytics and visualization tools such as Power BI, including dashboard development, KPI reporting, and data analysis.</li><li>Strong analytical and quantitative problem-solving skills.</li><li>Experience developing and maintaining business metrics and measurement frameworks.</li><li>Experience establishing performance baselines and designing measurement approaches to evaluate the impact of implemented solutions.</li><li>Ability to translate complex data into actionable business insights.</li><li>Knowledge of engineering, technology, or transformation programs preferred.</li><li>Strong communication and executive presentation skills.</li></ul>

﻿Responsibilities: &nbsp;<ul><li>Lead, mentor, and grow a team of 4-5 ML engineers.</li><li>Provide architectural direction and code-level guidance.</li><li>Establish engineering best practices for ML system design, testing, and deployment.</li><li>Conduct design reviews, performance reviews, and technical roadmap planning.</li><li>Architect distributed ML systems serving multiple global products.</li><li>Standardize infrastructure patterns for LLM serving and retrieval systems.</li><li>Define and implement enterprise-ready agentic frameworks.</li><li>Architect multi-step reasoning systems.</li><li>Lead decisions on deterministic workflows vs. autonomous agents.</li><li>Implement guardrails, safety layers, and traceability mechanisms.</li><li>Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.</li><li>Establish CI/CD standards for ML lifecycle management.</li><li>Ensure compliance with enterprise data governance and responsible AI standards.</li></ul>&nbsp;Requirements &nbsp;<ul><li>8-10 years of Machine Learning/Software Engineer experience</li><li>2-3 years of people management experience.</li><li>Master’s degree or bachelors degree, computer science degree is highly desirable.</li><li>Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data.</li></ul>

Responsibilities: <ul><li>Process vendor payments and payment runs through Oracle.</li><li>Support AP payment processing, reconciliations, reporting and issue resolution.</li><li>Manage vendor relationships and payment-related queries.</li><li>Support AP transformation, process improvement and transition projects.</li><li>Own assigned AP activities with accuracy, timeliness and control discipline across invoice processing, payment readiness, AP reporting, reconciliations and period-close support.</li><li>Act as the first point of functional review for assigned AP matters, assessing issues independently, resolving within approved protocols and escalating exceptions with clear facts, impact and recommended action.</li><li>Monitor operational performance against agreed SLAs, KPIs, payment timelines, ageing trends and exception volumes, and support corrective actions to improve service quality.</li><li>Demonstrate ownership, accountability and business judgement in handling AP matters that require coordination across multiple stakeholders and systems</li></ul> Requirements: <ul><li>Minimum 5 years’ Accounts Payable experience.</li><li>Strong end-to-end AP knowledge.</li><li>Oracle exposure and hands-on payment processing on Oracle.</li><li>AP transformation / process excellence exposure as an end user.</li><li>Transition project experience or exposure in involvement with new AP related projects.</li><li>Vendor relationship management exposure.</li></ul>

Responsibilities: <ul><li>Administer and support enterprise VDI platforms including Omnissa Horizon, VMware ESXi, Citrix, and Nutanix environments.</li><li>Perform daily monitoring, maintenance, and operational support for VDI infrastructure and virtual desktop services.</li><li>Support endpoint management platforms including Microsoft Intune and Microsoft Endpoint Configuration Manager (MECM/SCCM).</li><li>Assist with device provisioning, software deployment, operating system patching, and endpoint compliance activities.</li><li>Support endpoint security technologies including Microsoft Defender for Endpoint and Trellix Endpoint Security.</li><li>Investigate, troubleshoot, and resolve VDI, endpoint, and endpoint security incidents.</li><li>Perform root cause analysis and support service restoration activities for production incidents.</li><li>Support platform upgrades, patching, maintenance windows, and technology refresh initiatives.</li><li>Monitor platform health, identify issues proactively, and escalate complex issues where required.</li><li>Maintain operational documentation, technical procedures, and support records.</li><li>Collaborate with infrastructure, network, security, and application support teams on issue resolution and platform improvements.</li><li>Participate in after-hours support and maintenance activities when required.</li></ul> Requirements: <ul><li>3-7 years of experience in End User Computing (EUC), VDI, or Endpoint Infrastructure support.</li><li>Hands-on experience supporting:&nbsp;</li><li>Omnissa Horizon / VMware Horizon</li><li>VMware ESXi and vCenter</li><li>Microsoft Intune</li><li>Microsoft Endpoint Configuration Manager (MECM/SCCM)</li><li>Microsoft Defender for Endpoint</li><li>Experience supporting enterprise-scale VDI environments.</li><li>Strong troubleshooting skills across virtual desktop and endpoint platforms.</li><li>Experience supporting production environments and incident management activities.</li><li>Good understanding of endpoint lifecycle management, software deployment, and patch management.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul>

Responsibilities: <ul><li>Lead the development effort for cloud-native applications across the Caching Solutions and Rewards System teams, ensuring timely execution against committed business outcomes.</li><li>Drive business commitments by aligning scope, sequencing, and technical approach with Product Management, and ensuring delivery plans are realistic, transparent, and measurable.</li><li>Design and implement continuous integration and continuous delivery (CI/CD) processes to deliver applications to production, fostering a culture of continuous process improvement.</li><li>Provide hands-on technical leadership through architecture/design reviews, code reviews, and guidance to engineers to ensure compliance with standards and best practices.</li><li>Perform Technology Alternate Assessments and create Proofs-of-Concept (as necessary) to validate options and inform technical decisions.</li><li>Work collaboratively with Product Management and Platform Engineering teams during development, launch, and continuing refinement of products iteratively.</li><li>Collaborate with internal technical resources and third-party vendors to resolve issues, understand</li><li>underlying causes, and implement sustainable solutions.</li><li>Work with team members to design, architect, and implement solutions across geographic locations, ensuring effective coordination and consistent engineering execution.</li><li>Coordinate and communicate status across stakeholders, and report delivery progress, risks, and dependency needs to leadership on a regular cadence.</li><li>Maintain deep hands-on technical knowledge by evaluating trends in modern software development practices; continuously learn and stay at the leading edge of industry trends.</li></ul> Requirements: <ul><li>Bachelor’s Degree with 8+ years of system engineering experience, or in lieu of a degree 10+ years of skilled system engineering experience.</li><li>8+ years of Strong hands-on development experience in Java and Spring Boot for building enterprise-grade services.</li><li>5+ years of Proven expertise in designing and implementing cloud-native applications using a microservices-based architecture.</li><li>Solid knowledge of event streaming and processing patterns using Kafka.</li><li>Experience deploying and operating applications on cloud platforms such as AWS and PCF (Pivotal Cloud Foundry).</li><li>Strong understanding of data storage and caching concepts and implementations using GemFire, Redis &amp; Elastic cache.</li><li>5+ years of Working knowledge of database design and persistence using MySQL, Aurora SQL &amp; no SQL.</li><li>Experience with observability, logging, and production monitoring, including tools such as Splunk and New Relic</li></ul>

Responsibilities: <ul><li>Lead and manage daily production operations to ensure safety, quality, delivery, and cost targets are achieved.</li><li>Drive continuous improvement initiatives, including Lean Manufacturing, Six Sigma, and Kaizen activities.</li><li>Develop and implement production plans, schedules, and resource allocation to meet customer demand.</li><li>Ensure compliance with company standards, regulatory requirements, and environmental health &amp; safety (EHS) policies.</li><li>Foster a culture of teamwork, accountability, and high performance across production teams.</li><li>Monitor production KPIs (efficiency, scrap, downtime, OEE) and implement corrective actions where necessary.</li><li>Collaborate with cross-functional teams (Engineering, Quality, Supply Chain, Maintenance) to resolve issues and support operational excellence.</li><li>Lead, coach, and develop production supervisors, line leaders, and technicians to build strong leadership capability.</li><li>Support new product introductions (NPI) and transfer projects with minimal disruption to ongoing operations.</li><li>Manage production budgets, manpower planning, and cost optimization initiatives.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Engineering, Manufacturing, or related field.</li><li>Minimum 8–10 years of manufacturing experience, with at least 5 years in a leadership/managerial role.</li><li>Strong background in Lean Manufacturing, Continuous Improvement, and EHS compliance.</li><li>Experience in high-volume manufacturing (preferably cable, electronics, or related industries).</li><li>Excellent leadership, communication, and problem-solving skills.</li><li>Ability to work under pressure and manage multiple priorities.</li><li>Proficiency in English; Mandarin is an added advantage.</li></ul>

Responsibilities: <ul><li>Manages the day-to-day operations and long term planning for manufacturing functions, including manufacturing, production control, engineering, inventory control, purchasing and shipping/receiving activities.</li><li>Leading staffing, development, and performance management programs for operations staff; managing, motivating, and developing management team.</li><li>Driving the execution of operations activities, ensuring that schedules and performance requirements are met and system resources are used effectively.</li><li>Defining departmental goals; coordinating strategies, communications, and joint initiatives for multiple and distributed facilities.</li><li>Accountable for overall operations performance and implementing production, cost, and quality control mechanisms.</li></ul> Requirements: <ul><li>Generally requires Bachelors degree in appropriate field with 12 or more years of experience; or Masters degree with 10 or more years of experience; or PhD level with 6 or more years of experience; or local equivalent</li></ul>

Responsibilities: <ul><li>Act as the focal point of contact for technical resolutions while managing the incident, problem and knowledge management processes for the applications in scope.</li><li>Provide comprehensive support to internal customers; achieve resolution to outstanding problems or issues.</li><li>Manage 3rd party product vendors and integration partners to ensure application code fix deliveries are timely and good quality.</li><li>Design appropriate metrics for reporting on key performance and quality indicators.</li><li>Test, maintain and recommend software improvements to ensure strong functionality and optimization.</li><li>Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing.</li><li>Work with business stakeholders to manage and prioritize the overall book of work in terms of problem remediation.</li><li>Contribute to improvement initiatives relating to methods, tools, people, architecture, project management and governance.</li></ul> Requirements: <ul><li>Degree in Computer Science, Engineering or similar domain; Additional professional/technical qualifications will be advantageous.</li><li>At least 6 years’ experience in relevant Banking applications / Information Technology.</li><li>Proficient in IBM AS400 platform, RPG, COBOL, CL programming.</li><li>Good understanding and experience in of Software Development Life Cycle (SDLC) or AGILE.</li><li>Well-versed in service management or production support’s process flow and cycle.</li><li>Experience leading a small team and providing guidance to junior developers.</li><li>Knowledge of Silverlake’s banking software suite is an added advantage.</li></ul>

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162 production deployment Jobs found

Supply Chain Analyst

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Senior Executive Accounts Payable

VDI & Endpoint Lead Engineer (AVP)

AVP, Principal Software Engineer (Senior Technical lead)

Production Manager

Operations Manager - Cable

L3 Production Support (AS400, RPG), Core Banking

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162 production deployment Jobs found

Supply Chain Analyst

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Senior Executive Accounts Payable

VDI & Endpoint Lead Engineer (AVP)

AVP, Principal Software Engineer (Senior Technical lead)

Production Manager

Operations Manager - Cable

L3 Production Support (AS400, RPG), Core Banking

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