Senior Component Engineer - Interconnect & Connector Components

Regional Manager of Security Operations

Consulting Engineer - Data Center

MGR II Qlty & Reliability Engineering

Staff/Principal Engineer - CMP Advanced NAND

Front End Central Product Integration (FE CPIE) MTS (FE)

VP, Enterprise Cybersecurity Engineering

AI Transformation Engineer

AI Analytics and Visualization Engineer

Talent Acquisition Specialist

Responsibilities: <ul><li>Support qualification of connector and interconnect component site capabilities and product readiness.</li><li>Serve as a technical contributor in commodity teams; evaluate quality and reliability performance data and provide inputs for sourcing strategy.</li><li>Contribute to defect reduction and process re-engineering efforts related to interconnect components.</li><li>Identify, initiate, and help drive process improvements that reduce cycle time and cost while maintaining exceptional quality.</li><li>Support product transfer and change programs to sustain affected products and supplier sites.</li><li>Engage early in NPI and provide inputs for concurrent engineering efforts (DFM, FMEA, tooling design, plating, validation testing, etc.).</li><li>Provide technical support to the supply chain and engineering community, building toward subject-matter expertise in interconnect technologies.</li></ul> Requirements: <ul><li>Bachelors or Masters Degree in Mechanical Engineering, Electrical Engineering, or an equivalent field, with 5-7+ years of relevant industry experience.</li><li>Foundational hands-on exposure to interconnect and connector technologies at the application and component level, including the fundamentals of associated PCB attach technologies.</li><li>Familiarity with mechanical and electrical design principles — tolerance analysis, fabrication methods, materials selection, plating, and validation testing. Awareness of Signal Integrity (SI) fundamentals is a plus.</li><li>Experience with problem-solving and process improvement methodologies (8D, Lean Six Sigma) and FMEA facilitation techniques.</li><li>Experience managing multiple projects using established project management skills and tools.</li><li>Domain exposure to connector or interconnect component manufacturing processes preferred.</li><li>Requires on-site support at manufacturing facilities.</li><li>Strategically focused, impact-oriented, highly organized, and adaptable.</li><li>Fluent English and Vietnamese speaking and writing. Chinese speaking and writing is a plus.</li></ul>

Role Description: <ul><li>As a Regional Team Lead of Incident Response &amp; Security Operations, you will be a key member of our collaborative security team, working alongside other security professionals to protect our organization from sophisticated cyberattacks. In this "player-coach" role, you will act as the senior technical expert and operational guide for your region’s Security Operations Center (SOC) analysts.</li><li>You will be a hands-on practitioner, working alongside your team to hunt for threats, analyze alerts, and lead the technical response to security incidents.</li><li>The ideal candidate has a strong background in hands-on security analysis, a talent for mentoring others, and the composure to lead technical investigations under pressure. You will be the primary escalation point for the SOC, ensuring the teams work is effective, efficient, and continuously improving our ability to defend the organization.</li></ul> Responsibilities: Your main tasks: <ul><li>Incident Response: Assist with all major security incidents, coordinating global and regional efforts during security incidents and investigations.</li><li>Security Operations: Oversee regional operations of the Security Operations Center (SOC), ensuring timely and effective analysis of security alerts.</li><li>Identify areas of improvement through automation and new processes. Improve the development and tuning of detection rules, analytics, and correlation logic to improve alert fidelity. Lead threat response and proactive vulnerability/threat notifications.</li><li>Strategic Leadership: Contribute to the comprehensive enterprise information security strategy, roadmap, and architecture in alignment with business objectives.</li><li>Work with management to drive program and projects amongst your team.&nbsp;</li><li>Team Management &amp; Development: Lead, mentor, and manage a high-performing team of security analysts, fostering a culture of technical excellence, innovation, and continuous learning. Manage team schedules, conduct performance reviews, and guide career development for team members.</li><li>Documentation &amp; Knowledge Sharing: Develop and maintain comprehensive documentation, including system architecture diagrams, data flow diagrams, log source configurations, alert rationale, and incident response procedures. Mentor and provide technical guidance to junior security analysts.</li><li>Collaboration &amp; Communication: Effectively communicate technical concepts to both technical and non-technical audiences. Interface with other IT teams (network, systems, application development, etc.) to ensure security is integrated throughout the infrastructure.</li><li>Strategic Planning &amp; Budgeting: Collaborate with leadership on strategic planning, budget forecasting, and resource allocation.</li></ul> Requirements: Required Qualifications: <ul><li>Bachelors degree in Computer Science, Information Security, or a related field, or equivalent practical experience.</li><li>Minimum of 5-7 years of experience in information security, with a strong focus on security.</li><li>Significant experience with at least one enterprise-grade SIEM platform (e.g., Devo, Splunk, QRadar, Sentinel, ArcSight).</li><li>Experience with scripting languages (e.g., Python, PowerShell, Regular Expressions) for automation and data manipulation.</li><li>Familiarity with various operating systems (Windows, Linux, macOS) and cloud platforms (AWS, Azure, GCP).</li><li>Knowledge of common security frameworks and standards (e.g., NIST, MITRE ATT&amp;CK, CIS).</li></ul> Preferred Qualifications: <ul><li>Experience with Devo, Devo SOAR, and/or LogicHub</li><li>Advanced programming/coding in one or more languages (C#, Python, etc).</li><li>Understanding of security concepts, including network security, endpoint security, intrusion detection/prevention systems (IDS/IPS), firewalls, and vulnerability management.</li><li>Manufacturing and/or engineering industry experience.</li><li>Experience working in a large global organization.</li></ul>

Responsibilities: <ul><li>Serve as a trusted technical advisor to customers, providing expert guidance on Data Center and networking solutions.</li><li>Lead the strategy, design, and implementation of complex network architectures aligned with customer business objectives.</li><li>Manage end-to-end delivery of high-impact technical engagements, ensuring successful implementation and optimization.</li><li>Translate customer business requirements into scalable, secure, and high-performance technology solutions.</li><li>Collaborate with account teams, partners, and cross-functional teams to drive technology adoption and customer success.</li><li>Support pre-sales activities, including technical consultations, solution design, and architecture recommendations.</li><li>Drive technology transitions and deliver measurable business outcomes through innovative solutions.</li><li>Act as the primary escalation point for complex technical issues, providing advanced troubleshooting and problem resolution.</li><li>Leverage deep technical expertise across Data Center and networking technologies to resolve critical customer challenges.</li><li>Develop and contribute digital intellectual capital, reusable solutions, and best practices to improve delivery efficiency.</li><li>Promote continuous learning, mentorship, and knowledge sharing within the global Customer Experience (CX) team.</li><li>Strengthen customer relationships by delivering high-quality technical engagements and exceptional customer experiences.</li><li>Align technology strategies with customer goals to improve network performance, scalability, and operational efficiency.</li><li>Contribute to customer satisfaction, business growth, and the successful adoption of technologies.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science or equivalent, with 8–12 years of relevant experience in customer-facing technical consulting, pre-sales, and/or service delivery roles</li><li>Deep knowledge of L2/L3 networking protocols and technologies (vPC, STP, HSRP, OSPF, EIGRP, BGP) with strong hands-on Nexus 2K/5K/7K/9K platform experience</li><li>Lead &amp; drive technology design, implementation, execution, and/or optimization for projects/accounts to accelerate customer outcomes.</li><li>Proven experience in design and deployment of Data Center solutions including traditional DC standalone Nexus design, VXLAN Fabric and ACI Fabric solutions using ACI MultiPod /Multisite/Remote Leaf Fabric architectures.</li><li>Partnered with customers to design and implement network solutions, ensuring seamless system integration and proactive service assurance</li><li>Active Data Center certification such as CCIE or CCNP, or equivalent vendor certification (e.g. VCP)</li><li>Experience integrating network services appliances (such as firewalls, IPS, load balancers, WAN optimizers) within Data Center solution designs</li><li>Experience in&nbsp;Build and reviews project work e.g. Design recommendations, High-Level Design, Low-Level Design, Implementation/ Change Management Plans.</li></ul>

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>As a CMP Process Development Engineer, you will develop and optimize chemical mechanical planarization procedures. These procedures aim to improve product quality and reliability for the next generation of company memory parts.</li><li>Focus on understanding and improving the process margins required for meeting the mature yield goal for 3D NAND parts</li><li>Advanced 3D NAND CMP process development will include performing fundamental research, consumables development, and hardware evaluation, as well as testing processes for novel applications</li><li>Initiate and manage experiments to widen process margins as well as to evaluate manufacturability of next node solutions</li><li>Extensively collaborate with vendors to develop processes that meet integration requirements for current and next-generation 3-D NAND nodes</li><li>Incorporate best known manufacturing methods into early development phase of upcoming nodes</li><li>Design and implement advanced process monitoring and control methodologies</li><li>Provide strategic roadmap for N+, N++ and future NAND Nodes</li><li>Serve as a technical expert within company contributing to technical projects for improvements to processes, procedures, and equipment</li><li>Define and leads complex, multi-functional projects of critical importance to company, helps to define strategic direction</li><li>Provide advice and counsel to management on significant technical issues. Leads and initiate innovation projects through patents/technical papers</li><li>This position requires communication and collaboration with partners both locally and globally. Strict adherence to company Intellectual Property Protection policy is necessary</li></ul> Requirements: <ul><li>PhD with ≥5 years, or Master’s degree with ≥7 years, or Bachelor’s degree with ≥10 years of relevant experience in Electrical Engineering, Materials Science, Chemical Engineering, Physics, or a related field, with demonstrated expertise in semiconductor Experience in Chemical Mechanical Planarization (CMP) Process in 300mm wafer fabrication.</li><li>Hands-on experience CMP equipment operation such as AMAT (LKP), EBARA-300X and next generation CMP equipment, optical metrology, profilometry, polishing slurries, conditioners, and polishing pads</li><li>Experience in dielectrics/metals CMP process development on 3D NAND or other memory technology</li><li>Understanding of various integration and structural impacts and constraints related to film deposition and other upstream/downstream processes</li><li>An understanding of the general process steps and process flow for memory processing planar and vertical NAND memory.</li><li>Strong interest in Data science, modelling, and drive to use/adopt AI to optimize workflows.</li><li>Excellent oral and written communication skills with ability to convey the message in concise and effective manner both in local as well as remote communications.</li><li>Strong collaboration and communication skills (verbal and written).</li><li>Self-driven, adaptable, and able to manage multiple projects.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li><li>Proven ability to take calculated risks and execute novel solutions.</li><li>Recognized as a mentor, team player and technical expert with the ability to solicit feedback, accept input, and analyze success/failure.</li></ul>

Responsibilities: <ul><li>Lead process integration (PI) structural uniformity and cross loop integration for critical modules (e.g., capacitance loop), owning end to end integration strategies to resolve yield, quality, and reliability gaps. </li><li>Drive physics&nbsp;and process based integration solutions through close collaboration with cross module process owners, PI subject matter experts, and key suppliers to optimise integration structures and achieve BIC yield and quality targets.</li><li>Develop and apply model based root cause analysis frameworks (transport, reaction kinetics, pattern density, and geometry dependent effects) to diagnose structural non uniformity. Define, implement, and continuously strengthen critical inline monitoring and defence lines (CD, film loss, mass delta, defectivity, edge/periphery metrics) to ensure robust control of structural uniformity.</li><li>Own and advance product integration programs and loop level domain expertise, maintaining deep technical knowledge across node transitions. </li><li>Proactively drive node over node “shift left” integration, including early implementation of uniformity, bevel, and backside best known methods (BKMs) during development phases to accelerate whole wafer (centre-to-edge) yield and quality ramp.</li><li>Drive worldwide technical alignment and execution excellence by leading global projects, standardizing and leveraging network BKMs, and scaling proven solutions across sites. Identify efficiency and performance gaps, and lead business process creation, optimization, and re engineering to improve benchmark performance, cycle time, and development productivity.</li><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 legal requirements.</li></ul> Requirements: <ul><li>Bachelors/Masters/PhD. in EE, Materials Engineering, Materials Science, Physics and Chemical but optional if candidates have more than 10 years experience in process related role in the semiconductor industry.</li><li>With more than 7 years of relevant industry experience/knowledges.</li><li>Good logical thinking and knowledge in Semiconductor Fabrication process flows, interaction of different processes and how changes affect yield, device performance and reliability. Understanding of DRAM and NAND operation and structure to decipher parametric, probe and qual data from both front-end and backend assembly processes.</li><li>Good model-based problem solving, together with data-driven decision making, and presentation skills. Proven ability to troubleshoot and solve structure and device-related issues, and address root cause.</li><li>Good organizational capabilities and ability to work effectively. Ability to be flexible with job responsibilities and take the initiative to assume added responsibilities. Travel to company sites as necessary for face-to-face collaboration.</li><li>Strong interpersonal skills and customer/co-worker relationships. Successfully demonstrated teamwork skills with a strong focus on developing good team dynamics.</li><li>Good multi-tasking, verbal and written communication skills.</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>

Role Description: <ul><li>Youll be empowered to be at the top of your game by providing strategic partnership, and innovative technology solutions that supports our client vision of being a tech-driven, global, long-term investment firm.</li></ul> Responsibilities: What will you do as an VP, Enterprise Cybersecurity Engineering, Cybersecurity Platform Engineer? <ul><li>Identify and recommend improvement areas in existing enterprise security architecture to address evolving cybersecurity threats</li><li>Align and balance business requirements with cybersecurity, information, and technology requirements, based on the organization’s risk appetite</li><li>Evaluate, perform proof-of-value/proof-of-concept, design, build and implement enterprise-class cybersecurity systems</li><li>Develop integrated security operating models and documentations to ensure operational efficiency, scalability, and sustainability</li><li>Act as a domain expert and trusted partner in Cyber Security &amp; Resilience; work closely with stakeholders in Technology Group and other business groups on cybersecurity engineering related matters</li></ul> Requirements: What qualifications or skills should you possess in this role?&nbsp; <ul><li>Bachelor’s degree in Information Technology, Computer Science, or a related discipline.</li><li>At least 10 years of relevant experience preferably in financial services or asset management industries, with minimum 7 years in Cyber Security or Information Security.</li><li>Proven experience in implementing and operationalizing enterprise cybersecurity platforms, including:</li><li>Security Operations Tooling: EDR, NDR, SIEM, SOAR, XDR, Threat Intelligence Platforms (TIPs).</li><li>Email Security: Secure email gateways (SEG) and Integrated Cloud Email Security (ICES), anti-phishing and anti-malware controls, DMARC/DKIM/SPF authentication, and email threat detection and response.</li><li>Continuous Threat Exposure Management (CTEM): Attack surface assessment, vulnerability assessment, data aggregation and risk-based prioritization, threat exposure management, and attack simulation/validation (e.g., BAS).</li><li>Experience operationalizing a CTEM program or equivalent risk-based exposure management framework preferred.</li><li>Working knowledge of cloud security controls and reference architectures across AWS, Azure, and Google Cloud Platform.</li><li>Scripting and coding skills, with proficiency in Java, Python, C#, or similar programming languages, and good understanding of REST API’s and JSON.</li><li>Ability to produce detailed documentation, including design diagrams and process flows.</li><li>Must be meticulous, versatile, and inquisitive, having strong attention to detail with an analytical mind and outstanding problem-solving skills.</li><li>Desire to learn, working in a diverse environment, interacting with multiple teams and functions to support strategic goals. Be a good team player and excellent communicator.</li><li>Professional qualification in information security, such as CISSP / CISM / CEH will be advantageous.</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: <ul><li>Select the desired employees and develop, implement, and monitor the programs and processes used in recruitment and selection.&nbsp;</li><li>They source, recruit, screen, interview and recommend external and/or internal candidates to staff open requisitions.&nbsp;</li><li>Utilize the services of employment agencies and/or place employment ads in appropriate sources, including the intranet, Internet, and print media.&nbsp;</li><li>Responsible for developing and implementing recruiting plans and administering talent management efforts and employee referral programs, managing the resume tracking system and ensuring consistent corporate image throughout recruiting campaigns.&nbsp;</li><li>Lead end-to-end recruitment, ensuring alignment with organizational strategy and culture.</li><li>Manage end-to-end hiring process: Source, resume screen, phone screen, schedule interviews, Offer documentation and onboarding</li></ul> Requirements: <ul><li>Minimum 6+ years of experience required for this role.</li><li>Should possess expert knowledge and innovative skills to source and attract active &amp; passive talent from different sourcing channels (job boards, social media, referrals and local outreach to identify potential candidates</li><li>Communication and Stakeholder management is key to be successful in this role as you work with global stakeholders and matrix organization</li><li>Good understanding of the engineering manufacturing industries in the local market, able to map talents, develop business intelligence for sourcing strategies and techniques</li></ul> Qualification <ul><li>Experience in handling end-to-end Talent Attraction Process [Source to Onboard]</li><li>Be able to develop Recruiting Strategies basis the skill demand and complexities</li><li>Expert knowledge and Hands-on in preparing market research, Market/Talent mapping using various tools such as Talent Neuron, Draup, LinkedIn Talent Insight</li><li>Data driven: able to analyse, slice &amp; dice data, develop insights from data and be able to make decisions to drive hiring strategies</li></ul>

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53 sox subject matter expert Jobs found

Senior Component Engineer - Interconnect & Connector Components

Regional Manager of Security Operations

Consulting Engineer - Data Center

MGR II Qlty & Reliability Engineering

Staff/Principal Engineer - CMP Advanced NAND

Front End Central Product Integration (FE CPIE) MTS (FE)

VP, Enterprise Cybersecurity Engineering

AI Transformation Engineer

AI Analytics and Visualization Engineer

Talent Acquisition Specialist

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53 sox subject matter expert Jobs found

Senior Component Engineer - Interconnect & Connector Components

Regional Manager of Security Operations

Consulting Engineer - Data Center

MGR II Qlty & Reliability Engineering

Staff/Principal Engineer - CMP Advanced NAND

Front End Central Product Integration (FE CPIE) MTS (FE)

VP, Enterprise Cybersecurity Engineering

AI Transformation Engineer

AI Analytics and Visualization Engineer

Talent Acquisition Specialist

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