MGR II Qlty & Reliability Engineering

AVP Investment Finance

Principal/Staff Engineer – Firmware Development

AVP/VP, Software Engineer, Technology Group

Lead, Data & AI Governance

Supply Chain Analyst

AI Analytics and Visualization Engineer

Application Performance Monitoring Lead Specialist  VP2

Director, Advanced Packaging Disruptive Technology

Cargospot System Specialist

Responsibilities: <ul><li>Primary responsibility for developing and driving standardized Design for Reliability Engineering (DfRE) and Robustness Validation (RV) Methodologies for all Power Products.</li><li>Drive a DFSS culture, one of innovation, constant learning, and continuous improvement that aspires to deliver "First Time Right"; provide product development and DFSS training, coaching, and mentoring to product design teams to create a world class product development organization.</li><li>Drive excellence in Design for Reliability ensuring comprehensive utilization of modeling and simulation, structured DOE approaches, robust product validation including HALT/HAST and Test to Failure (TTF) methodologies.&nbsp;Oversee integrating reliability considerations during technology &amp; product evaluation, NPI product development from receipt of Customer Spec (Mission Profile) through Product Release into mass production; will have T&amp;V Plan + Reliability Test Plan Finalization Authority for Power Products.</li><li>Partner with PDE’s to quickly produce and evaluate first samples to expedite speed to market and drive fast and iterative product design improvements; drive Early Concept Testing identifying potential weaknesses and failure mechanisms in the product design and validating all improvements through testing and capability analysis.</li><li>Work very closely with MPDE about Process Developments and Equipment Developments, developing comprehensive test plans to ensure capability to six sigma standards and driving world-class Simultaneous Engineering (Concurrent Engineering).</li><li>Support Mfg Quality with failure analysis (F/A) and Root Cause and Corrective Action (RCCA) of line scrap and customer returns as well as competitive benchmarking activities.</li><li>Lead the identification of special testing needs and requirements and partner with Global R&amp;T COE to develop Custom Test Equipment, Tests &amp; Test Specifications.&nbsp;Oversee all application testing for Power Products.</li><li>Drive high performance organization by providing your team routine coaching and feedback, holding your team accountable to meet performance objectives, and providing meaningful development to increase individual/team capability.&nbsp;</li><li>Manage employee well-being by prioritizing work, effectively managing resource loading, and providing flexibility to enable employees to successfully balance their work and personal lives.</li><li>Drive organization effectiveness by structuring your organization in a way that best enables the BU strategy, maximizes resource efficiency and productivity, and provides role clarity and clear lines of accountability.</li><li>Manage the talent in your organization to support the business now and to proactively prepare for the future by identifying organization skillset/role gaps, implementing plans to fill any skillset/role gaps, and assessing current talent fit to ensure the right talent is matched to the right roles to best meet the needs of the business.</li></ul> Requirements: <ul><li>Bachelor/ Master’s degree in technical discipline (Electrical Engineering, Electronics, Mechatronics)</li><li>10+ years of Experience in all aspects of reliability engineering for electronic or mechatronics products from reliability estimation to reliability calculation and risk identification.</li><li>Must also have many years of experience working with test equipment, test systems, test labs, development and deployment of HALT/HAST testing, Test &amp; Validation Plans, development of custom test systems and performing “application tests.”&nbsp;Must have a good balance between theory and practice.</li><li>Experience interacting with global cross-functional engineering teams in multi-site global organization.</li><li>Excellent English, both verbal and written, and the ability to interact professionally with customers, leadership, stakeholders, cross functional teams and subject matter experts.</li><li>Exceptional analytical, critical thinking, and problem-solving skills and ability to make decisions when presented with a series of challenges, conflicts and constraints.&nbsp;Ability to drive to big picture goals and milestones while valuing and maintaining strong attention to the details.</li><li>Knowledge on FIT estimation methodology, statistical analysis for reliability calculation such as Weibull-analysis or 2-statistics, application of Bayes theorem, random failure principle, FMEDA, FTA</li><li>Reliability Engineering training from company, ASQ, TUV, Reliasoft or equivalent</li><li>Experience with custom product development, working closely with customers to define mission profile of the end application and optimizing reliability strategy based on customer needs.</li><li>Experience in running statistical analysis for reliability calculation for mechatronic products.</li><li>A high curiosity in understanding how systems/products work along with a reverse engineering mindset.</li><li>Willingness to travel as required, ~20%&nbsp;</li></ul>

Responsibilities: <ul><li>Collaborate with deal teams and relevant stakeholders to assess valuation and operational considerations; coordinate financial due diligence throughout the acquisition and divestment process.</li><li>Provide financial and operational input on holding structures and funding mechanisms; assess accounting and valuation impacts and execute implementation.</li><li>Manage various work streams with internal stakeholders and external advisors during investment / divestment process.</li><li>Prepares and reviews market valuation for private investments within corporate policies.</li><li>Partner with operation team to fulfill all operating requirements, i.e. liaising with banks on funding guidelines.</li><li>Reviews financial controls for asset operations while liaising with external auditors.</li><li>Oversee the organization and maintenance of the investment holding platform, including corporate secretarial and financial reporting.</li></ul> Requirements: <ul><li>Bachelor’s degree in finance, Accountancy or equivalent, ideally with CPA qualification.</li><li>6–8 years of relevant working experience, ideally gained at a Big 4 firm supporting direct private markets transactions or at an asset manager.</li><li>Prior exposure to real estate transactions would be an advantage.</li><li>A driven self-starter with strong initiative; hands-on and adept at managing multiple tasks. Confident in engaging with various stakeholders and capable of working independently to achieve results.</li><li>Proficient in Microsoft Office applications and have practical working experience with accounting software systems.</li></ul>

Responsibilities: SUPPORT CUSTOMERS AND DEBUG FIRMWARE <ul><li>Customer engineering support: Act as the primary technical escalation point for Security Firmware on SSD products — triage, prioritize, and drive customer reported security issues to closure within committed response times</li><li>Security feature enablement: Guide customers through the configuration, integration, and validation of SSD security features; including, but not limited to: TCG Opal/Pyrite/Ruby and Enterprise SSC, ATA and NVMe security commands, self-encrypting drive operation, secure boot and signed firmware update, sanitize and cryptographic erase, key management, and device attestation</li><li>Debug and root cause analysis: Reproduce customer, qualification, and field failures in the lab; analyze firmware logs, traces, and bus captures; debug Security Firmware source; and deliver documented root cause and corrective action</li><li>Firmware fixes and validation: Develop, unit test, and functionally validate targeted Security Firmware changes and customer specific configurations and builds, ensuring each change meets the security, functional, performance, and quality/reliability requirements of the technical spec matrix before release</li><li>Vulnerability and incident response: Assess the impact of reported vulnerabilities and security findings on products already in the field, and support mitigation planning, remediation delivery, and customer disclosure</li><li>Customer qualification and compliance support: Support customer security audits, security questionnaires, and certification activities (e.g. TCG specification compliance, FIPS 140-3, Common Criteria), and produce the application notes, integration guides, and technical documentation customers depend on</li></ul> STAKEHOLDER MANAGEMENT <ul><li>Represent our client in direct technical engagement with customer engineering teams, translating Security Firmware behavior, constraints, and risk into terms that are clear to both engineering and non-engineering audiences</li><li>Dedicatedly provide to management, multi-functional team members, and the firmware team consistent, detailed, and properly summarized information regarding customer issues, escalation status, and the progress of firmware fixes</li><li>Maintain accurate issue records, root cause reports, and knowledge base content so that recurring customer questions are answered faster over time</li></ul> PEOPLE DEVELOPMENT <ul><li>Multi-functional Teamwork: Develop and maintain collaborative, open and, constructive relationships with peers, management, and partner teams across firmware development, product engineering, quality, and field applications</li><li>Team Development: Provide technical capability that continuously improves team involvement, morale, and productivity</li><li>Personal Development: Work to continuously improve your technical capability and communication skills</li></ul> AI UTILIZATION <ul><li>Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and requirements.</li><li>Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.</li></ul> Requirements: <ul><li>Bachelors/masters degree in computer or electrical engineering with 5+ years of relevant experience.</li><li>Experience in a customer facing engineering role such as customer engineering support, field applications, sustaining engineering, or escalation management is strongly preferred</li><li>Embedded Security domain knowledge and experience, including cryptography fundamentals (AES, RSA/ECC, SHA), key management, secure boot, and secure firmware update</li><li>Familiarity with storage security standards and features such as TCG Opal and Enterprise SSC, ATA Security, NVMe security and sanitize commands, and self-encrypting drives is an advantage</li><li>Expertise in the use of programming languages (eg. C, C++, RUST), programming tools &amp; environments</li><li>Experience programming in Python for test automation, log parsing, and debug tooling is an advantage</li><li>Understanding of storage interfaces including ideally PCIe/NVMe, SATA, or SAS</li><li>Experience with NAND flash and other non-volatile storage is an advantage</li><li>Experience in storage industry, storage systems, or a related technology is an advantage</li><li>Proficiency in debugging and resolving code problems for firmware applications, including the use of debuggers, firmware trace and log analysis, and protocol analyzers</li><li>Experience with defect tracking, change control, and firmware release processes in a production or sustaining environment</li><li>Excellent written and verbal communication skills, with the ability to manage multiple concurrent escalations under time pressure and stay effective in customer visible situations</li><li>Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, and achieving business outcomes.</li></ul>

Responsibilities: <ul><li>Collaborate and Innovate: Partner with portfolio managers, business managers, and product owners to tackle complex challenges and transform them into purposeful software solutions that drive our success</li><li>Design and Develop: Craft advanced algorithms and applications that significantly improve operational efficiency, enhance decision-making, and propel strategic initiatives forward</li><li>Leverage Emerging Technologies: Harness the power of machine learning and artificial intelligence to create innovative solutions that give us a competitive edge in the industry</li><li>Champion Excellence: Lead peer code reviews and share your technical expertise to cultivate a culture of continuous improvement and excellence</li><li>Ensure Quality: Execute rigorous System Integration Tests and work closely with business users on User Acceptance Tests to guarantee top-tier deliverables</li><li>Document and Guide: Develop comprehensive documentation and user guides to ensure seamless adoption and utilisation of new systems</li><li>Stay Ahead: Continuously explore and integrate emerging technologies to keep our solutions at the forefront of innovation&nbsp;</li></ul> Requirements: <ul><li>At least 5 years of relevant experience in software development, and hands-on experience in solution designing, software testing, and production support</li><li>Proficiency in Agile software development methodologies and practices such as Scrum, Kanban, or Test-Driven Development</li><li>Hands-on technical skills and good competency in Java and related frameworks such as Spring or Hibernate</li><li>Strong experience with Java / C# Dot Net / Typescript / Python</li><li>Preferred experience in relevant domains, including but not limited to the financial sector, such as SaaS integrations, enabling a deep understanding of industry-specific challenges and solutions</li><li>Familiarity with cloud platforms like AWS or Azure and containerisation technologies like Docker and Kubernetes</li><li>Strong team player who is keen to learn, independent, and possesses strong analytical, problem-solving, communication, and interpersonal skills</li><li>Passionate about understanding business requirements and using technology to transform or improve current state</li><li>Familiar with and interested in learning about current and emerging technology landscapes</li><li>Bachelor’s or equivalent degree in Science, Technology, Engineering, and Mathematics (STEM) related discipline is advantageous</li><li>Ability to adapt to a dynamic environment and demonstrate strong prioritisation skills</li><li>Experience leading engineering teams and/or mentoring junior software engineers is advantageous, especially for VP candidates&nbsp;</li></ul>

Responsibilities: Strategy, Framework &amp; Policy Architecture <ul><li>Define Group-wide Data &amp; AI Governance strategy, framework, operating model and roadmap, aligned to business strategy and AI ambitions</li><li>Author and maintain the Groups policy architecture - policies, standards, guidelines and procedures</li><li>Provide oversight, challenge and monitoring of adherence to policies and standards</li><li>Lead the continuous-improvement agenda for governance maturity through targets and metrics</li></ul> Governance Operating Model &amp; Stewardship <ul><li>Establish the governance model: define decision rights (RACI), and Data Owners and Stewardship roles across the business units</li><li>Translate governance topics into business-relevant insights for the relevant audiences.</li></ul> Data Governance, Catalogue &amp; Metadata Standards <ul><li>Set Group standards for data ownership, critical data elements, business glossary, metadata, data classification and dataset certification</li><li>Mandate data contracts on critical datasets and lineage coverage, embedding governance checks into the delivery lifecycle</li><li>Own the access governance standard and govern access to data, balancing innovation with appropriate controls</li></ul> Data Quality Management <ul><li>Own the Group data quality policy and standard - quality dimensions, rule libraries, thresholds and SLAs</li><li>Oversee the data quality operating loop, per-domain scorecards, remediation to SLA and owner-accountability reporting</li><li>Set the dataset certification regime before business use</li></ul> Data Protection, Sharing &amp; Retention <ul><li>Partner with Cybersecurity and Data Protection Office to develop and maintain the data protection framework and policies</li><li>Oversee data-sharing, retention and disposal practices across various stakeholders</li><li>Collaborate with Legal, Privacy and Compliance to ensure data compliance across jurisdictions</li><li>Manage and escalate data protection risks, tracking mitigations to closure</li></ul> Master Data Management <ul><li>Serve as design authority for master data capability, to centralize and manage master and reference data efficiently</li><li>Broker and secure ratification of master data design decisions across systems and stakeholders</li><li>Drive change management, adoption, integration and scaling of the MDM platform across the organization</li></ul> Regulatory Compliance, Risk &amp; Assurance <ul><li>Conduct regulatory horizon scanning across the jurisdictions where company operate, re-baselining policies, controls and plans as laws and standards evolve</li><li>Lead Group-wide Key Risk and Control Self-Assessment initiatives for Data and AI, and coordinate data and AI audits, compliance reviews and inspections</li></ul> Leadership, Reporting &amp; Culture <ul><li>Own the governance KPI metrics, dashboards, and reporting for executive stakeholders</li><li>Serve as the senior liaison between business units and technology on governance requirements</li><li>Be an agent of change inculcating data and AI governance culture and discipline across the organisation</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Information Management, Data/Analytics, Engineering, Law, or a related discipline; a relevant postgraduate qualification is an advantage.</li><li>Ongoing commitment to training and professional development.</li><li>At least 8 years of working experience in data management, including 5 or more years leading Data Governance, Data Quality or Master Data Management programmes in multi-entity or regulated organisations.</li><li>Extensive knowledge of data and AI regulatory, standards, and compliance requirements.</li><li>Experience in AI or model governance, model risk management or responsible-AI programmes, including generative AI; exposure to agentic AI governance is an advantage.</li><li>Proven track record standing up or transforming a governance function and operating model.</li><li>Good understanding of risk management and compliance frameworks and related disciplines such as risk and control self-assessment.</li><li>Experience in designing and delivering a Master Data Management capability.</li><li>Strong hands-on technical fluency: proficient in SQL with working Python; credible with modern data catalogues (e.g. DataHub, Microsoft Purview), data quality frameworks, data contracts and lineage, policy-as-code access models and Git / pull-request-based delivery.</li><li>Relevant certifications such as Certified Data Management Professional (CDMP), Certified Information Management Professional (CIMP) or Certified Information Systems Auditor (CISA) are strongly preferred.</li><li>Excellent written and oral communication; skilled at authoring policies, standards, guidelines and executive materials that business and engineering teams can act on.</li></ul>

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 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: <ul><li>Administer and support enterprise monitoring platforms and tools.</li><li>Define and implement monitoring standards, metrics, thresholds, and alerts.</li><li>Develop and maintain monitoring dashboards and reporting solutions.</li><li>Monitor application performance, system health, and service availability across enterprise environments.</li><li>Analyze monitoring data, identify trends, and proactively address potential issues.</li><li>Troubleshoot monitoring platform issues and work closely with support teams to resolve incidents.</li><li>Collaborate with application, infrastructure, and operations teams to improve monitoring coverage and effectiveness.</li><li>Drive continuous improvement initiatives in monitoring and observability practices.</li></ul> Requirements: <ul><li>Minimum 12 years of overall IT experience.</li><li>6-9 years of hands-on experience in Application Performance Monitoring (APM) or Observability.</li><li>Strong administration experience with monitoring tools such as:&nbsp;</li><li>Geneos</li><li>Grafana</li><li>Prometheus</li><li>Dynatrace and/or Datadog</li><li>AWS monitoring services</li><li>Experience creating and maintaining dashboards using Grafana, Power BI, SharePoint, or similar platforms.</li><li>Strong understanding of application performance, availability, capacity, and infrastructure monitoring.</li><li>Experience configuring monitoring rules, thresholds, alerts, and notification workflows.</li><li>Knowledge of incident management and ticketing tools such as Remedy and JIRA.</li><li>Strong troubleshooting, analytical, and stakeholder management skills.</li></ul>

Responsibilities: Disruptive Pathfinding &amp; Technology Strategy <ul><li>Define and execute long-range (N+2 and beyond) pathfinding roadmap for advanced packaging, identifying next inflection points in integration, interconnect, materials, and architectures.</li><li>Drive concept incubation and feasibility exploration for disruptive packaging approaches beyond existing platforms (e.g., novel interconnect schemes, heterogeneous integration architectures, advanced substrate innovations).</li><li>Evaluate emerging technology options and guide make/buy/partner decisions to establish differentiated capability ahead of industry adoption cycles.</li><li>Anticipate and define technology inflections aligned to AI, HPC, memory integration, chiplet ecosystems, and future system architectures.</li></ul> Innovation Leadership &amp; Team Building <ul><li>Build, lead, and inspire a world-class pathfinding and innovation team, fostering a culture of bold thinking, experimentation, and calculated risk-taking.</li><li>Instill an innovation-first mindset, encouraging teams to challenge existing assumptions and explore unconventional solutions.</li><li>Establish structured frameworks for idea generation, incubation, rapid prototyping, and down-selection.</li><li>Mentor technical leaders and create a pipeline of innovation talent capable of sustaining long-term differentiation.</li></ul> Customer &amp; Market-Driven Innovation <ul><li>Translate customer roadmaps, system architecture trends, and market inflections into actionable technology development strategies.</li><li>Engage deeply with key customers to identify latent needs and unmet challenges not addressed by current packaging solutions.</li><li>Drive creation of new product concepts and technology platforms that deliver step-function improvements in performance, cost, power, and scalability.</li><li>Position offerings to create clear value differentiation and long-term competitive advantage.</li></ul> Ecosystem Development &amp; Strategic Partnerships <ul><li>Build and lead a collaborative innovation ecosystem across materials suppliers, substrate vendors, OSATs, foundries, equipment partners, and research institutions.</li><li>Identify and activate disruptive partnerships that accelerate innovation cycles and enable early validation of emerging technologies.</li><li>Drive joint development programs and consortia engagement to shape industry direction and standards.</li></ul> Program Leadership &amp; Execution Governance <ul><li>Establish governance models for early-stage technology programs, balancing exploration with execution discipline.</li><li>Drive alignment across engineering, product, and business units to transition pathfinding concepts into development pipelines.</li><li>Develop executive-level narratives and decision frameworks to communicate technology trade-offs, investments, and strategic priorities.</li><li>Ensure learnings from early exploration are captured, scaled, and leveraged across the organization.</li></ul> Leadership Expectations <ul><li>Visionary Technology Leader: Anticipates industry disruption and defines future-state architectures ahead of the market.</li><li>Innovation Catalyst: Creates an environment where breakthrough ideas are generated, tested, and scaled.</li><li>Strategic Connector: Bridges customer roadmaps, internal capabilities, and ecosystem innovations into cohesive strategies.</li><li>Builder of Teams &amp; Culture: Attracts, develops, and retains top talent while fostering collaboration and accountability.</li><li>Decisive Change Agent: Operates effectively in ambiguity, making high-impact decisions with incomplete data.</li></ul> Requirements: <ul><li>15+ years of experience in semiconductor technology, including advanced packaging, front-end processing, or adjacent domains.</li><li>Demonstrated leadership in technology pathfinding, innovation strategy, or early-stage platform development.</li><li>Strong understanding of current advanced packaging technologies (D2W, RDL, CoWoS, TSV, etc), with the ability to think beyond existing paradigms.</li><li>Proven experience building and leading cross-functional or exploratory R&amp;D teams.</li><li>Ability to translate complex technology concepts into business impact and strategic direction.</li></ul>

Role Description: <ul><li>Looking for a Cargospot System Specialist to support and optimise the Cargospot system across the EMEA region.</li><li>The role will focus on Level 2/3 functional support, troubleshooting, system configuration, business requirements and system enhancements. You will work closely with Operations, Finance, internal Cargospot teams and external technical partners to ensure the system effectively supports business needs.</li><li>Strong hands-on Cargospot experience is essential. Knowledge of billing processes is an added advantage.</li></ul>&nbsp;Responsibilities: <ul><li>Provide Level 2/3 functional support for Cargospot, including troubleshooting and resolution of complex system issues.</li><li>Investigate and manage system support tickets through to resolution.</li><li>Support Cargospot configuration, administration, and functional optimisation.</li><li>Understand business requirements from Operations and Finance and assess how these can be supported within Cargospot.</li><li>Translate business requirements into clear specifications for technical/development teams.</li><li>Coordinate system enhancements, including testing, feedback, and releases.</li><li>Work with external technical partners on system developments and enhancements.</li><li>Support users with Cargospot queries and provide training where required.</li><li>Identify opportunities to improve system functionality, processes, and user experience.</li><li>Support billing and revenue-related requirements, including investigating billing discrepancies and supporting month-end validation.</li><li>Analyse system/data issues and identify trends or opportunities for improvement.</li><li>Work with stakeholders across Operations, Finance, Cargospot and external technology partners.</li><li>Support wider regional applications activities when required.</li></ul>&nbsp;Requirements: Essential: <ul><li>Strong hands-on experience with Cargospot.</li><li>Experience in Cargospot functional support, administration, configuration, or optimisation.</li><li>Good understanding of air cargo operations and processes.</li><li>Strong troubleshooting and problem-solving skills.</li><li>Ability to understand business requirements and translate them into system solutions.</li><li>Experience with system testing and release processes.</li><li>Strong communication and stakeholder management skills.</li></ul>&nbsp;Advantageous: <ul><li>Experience with Cargospot billing, pricing, or revenue-related processes.</li><li>Experience working with external technology/development partners.</li><li>Data analysis, reconciliation, and reporting experience.</li><li>Knowledge of Power BI or Crystal Reports.</li><li>French language skills.</li><li>Experience using AI tools for automation, validation, or anomaly detection.</li></ul>

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MGR II Qlty & Reliability Engineering

AVP Investment Finance

Principal/Staff Engineer – Firmware Development

AVP/VP, Software Engineer, Technology Group

Lead, Data & AI Governance

Supply Chain Analyst

AI Analytics and Visualization Engineer

Application Performance Monitoring Lead Specialist VP2

Director, Advanced Packaging Disruptive Technology

Cargospot System Specialist

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109 microsoft power bi Jobs found

MGR II Qlty & Reliability Engineering

AVP Investment Finance

Principal/Staff Engineer – Firmware Development

AVP/VP, Software Engineer, Technology Group

Lead, Data & AI Governance

Supply Chain Analyst

AI Analytics and Visualization Engineer

Application Performance Monitoring Lead Specialist VP2

Director, Advanced Packaging Disruptive Technology

Cargospot System Specialist

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

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