Equipment Maintenance Manager

Manager - Training

Stamping Manager

VP, Senior Data Engineering Manager

Talent Acquisition Specialist

Senior Analyst, Threat Detection and Response

Forward Deployed AI Scientist

Finance Business Partner

TA Specialist

Assistant Manager, SC Projects

Responsibilities: <ul><li>Develop, plan and execute Autonomous Maintenance, Preventive, Predictive Maintenance and TPM programme to reduce equipment failures and maintenance costs.</li><li>Lead, manage, and develop the maintenance team, including engineers, supervisors, technicians and contractors. Supervise, train, and mentor team in technical skills, safety practices, and lean methodologies.</li><li>Develop skill matrices for engineers, supervisors, and technicians, establish training and shift mechanisms, organize major-failure emergency response, and strengthen autonomous maintenance and cross-functional collaboration.</li><li>Lead root cause analysis and troubleshooting of recurring machine issues, implementing long-term strategy for improvement opportunities.</li><li>Work with external contractors and vendors for specialised maintenance work, major repairs and machines performance improvement</li><li>Develop data-driven maintenance plans and optimize spare parts inventory based on usage trends and failure patterns.Monitor and analyse maintenance-related data to identify trends and opportunities for optimisation.</li><li>Implement and manage machine maintenance and repair procedures to improve maintenance efficiency</li><li>Analyze machine performance data, focusing on Mean Time Between Failures (MTBF), Mean Time To Repair (MTTR), and Overall Equipment Effectiveness (OEE).</li><li>Ensure all maintenance activities comply with company safety standards and applicable regulations. Promote a strong safety culture and ensure compliance with permit-to-work and lockout/tagout procedures.</li><li>Prepare &amp; manage CAPEX, maintenance budgets and inventory control, including procurement of materials, spare parts stock levels and equipment</li><li>Maintain comprehensive maintenance records, equipment logs and documentation for compliance and future reference</li><li>Provide regular reports and performance dashboards to management, highlighting key insights and progress on improvement actions.</li><li>Any other duties as assigned by immediate superior from time to time.</li></ul> Requirements: <ul><li>Bachelor’s degree in engineering (Mechanical, Mechatronics, or related field).</li><li>At least 10 - 15 years of experience in maintenance management, with a proven track record in overseeing complex maintenance operations. &amp; 2-3 years of people management experience</li><li>Solid understanding of semiconductor and automated testing equipment’s, maintenance practices, and machine tool performance.</li><li>Strong leadership, communication, planning and troubleshooting capabilities.</li><li>Able to interpret PLC, engineering drawings, electrical diagrams and OEM technical documentation.</li><li>Must have hands-on Engineering and Maintenance experience in automation manufacturing</li></ul>

Responsibilities: <ul><li>The job holder will be responsible to design, develop, deliver and administer training programs that enhance employee knowledge, skills, behaviours, and performance to support the company attain its strategic objectives.</li><li>Develop and implement comprehensive Training intervention programs that aligns with Talent Management strategy and overall development of the employees to address specific skill gaps.</li><li>Conduct needs assessment to identify skill gaps and training needs and create training programs that are designed to effectively improve performance and productivity of employees.</li><li>Plan the annual training calendar and delivery of Internal/ External trainings and development programs by rolling out suitable training programs that enhance employees’ skills and performance, increase productivity/ quality of work and meet the identified needs in alignment with the organizations values and culture.</li><li>Facilitate training and awareness sessions/ workshops for employees and leaders and maintain close communication with all to discuss training needs, training methodologies and solutions to ensure that they are fully aware of training opportunities available.</li><li>Deliver training sessions, workshops, and seminars to employees, ensuring content is engaging, relevant, and interactive.</li><li>Develop and manage the training budget to ensure that the best quality of trainings are provided within the established budget and ensure that resources are allocated effectively across all levels of the organization.</li><li>Identify and partner with external vendors to source training content and solutions as needed and measure performance to ensure that the organizations learning and development programs have access to the best training content and solutions available in the market.</li><li>Provide coaching and support to managers and leaders to help them develop their teams and support employee development.</li><li>Conduct post-training surveys to measure training program and vendor effectiveness and relevancy along with individual retention and adoption of learnings.</li></ul> Requirements: <ul><li>Bachelor’s degree in Business Administration with Major’s in Human Resources; Master’s degree- preferred</li><li>Professional certification in Assessment and Learning and/or CIPD in Learning and Development (level 3 or 5)- preferred</li><li>Certified Coach or Certified NLP (Neuro-Linguistic Programming) practitioner - preferred</li></ul>

Responsibilities: Production Operations Management: <ul><li>Manage the day-to-day operations of the Stamping Department to ensure production plans are achieved and customer delivery requirements are met.</li><li>Plan and allocate production resources, monitor production progress, and promptly coordinate the resolution of operational issues.</li><li>Chair departmental GO meetings, production meetings, and operational reviews, and track performance against targets.</li><li>Monitor production data and operating metrics, driving problem resolution and implementation of improvement actions.</li><li>Review and approve production-related documents, forms, work instructions, and processes.</li></ul> Safety and Environmental Management: <ul><li>Implement company EHS policies and applicable regulatory requirements, and promote a strong safety culture.</li><li>Conduct regular workplace safety inspections and risk assessments, ensuring identified hazards are corrected and closed out.</li><li>Monitor employees safe work practices to reduce the risk of injuries and safety incidents.</li><li>Ensure effective implementation of 5S+1 and standardized workplace management.</li></ul> Quality Management: <ul><li>Take ownership of departmental quality performance and continuously reduce scrap rates and cost of poor quality (COPQ).</li><li>Drive process-quality improvements to prevent and reduce customer complaints and internal quality issues.</li><li>Lead analysis of quality issues and implementation of corrective and improvement actions.</li><li>Support customer audits, management-system audits, and management reviews.</li></ul> Continuous Improvement and Operational Excellence: <ul><li>Drive continuous-improvement projects involving OEE, QCO, VSM, automation, and related initiatives.</li><li>Apply (continuous improvement or lean improvement) tools to continuously improve production efficiency and resource utilization.</li><li>Promote digital management and visual management systems, and regularly track improvement-project progress.</li><li>Oversee key departmental improvement projects and coordinate the required resources.</li><li>Establish and advance initiatives for cost reduction, efficiency improvement, and waste elimination.</li></ul> Cost Management: <ul><li>Lead departmental budgeting and expense control.</li><li>Continuously drive cost-improvement projects to achieve annual cost-saving targets.</li><li>Optimize the utilization of labor, equipment, and materials.</li><li>Monitor departmental operating costs and return on investment.</li></ul> Team Management and Talent Development: <ul><li>Establish and maintain job-skill matrices to strengthen overall team capabilities.</li><li>Manage employee performance, talent development, and succession planning.</li><li>Guide and coach supervisors, team leaders, and key employees in their professional development.</li><li>Improve employee engagement and foster teamwork and organizational culture.</li><li>Coordinate the resolution of employee-relations and cross-team collaboration issues.</li></ul> Strategic Planning and Management Reporting: <ul><li>Develop annual departmental business objectives and action plans.</li><li>Cascade KPI targets throughout the organization and drive achievement at all levels.</li><li>Report departmental operating performance and improvement progress to management on a regular basis.</li><li>Participate in plant strategic planning and business-development projects.</li></ul> Cross-Functional Collaboration: <ul><li>Work closely with Quality, Engineering, Maintenance, Planning, Supply Chain, and other functions.</li><li>Support new-product introduction and capacity-planning projects.</li><li>Coordinate cross-functional resources to resolve major operational issues.</li><li>Drive improvement in overall plant operating performance.</li></ul> Requirements: <ul><li>15+ years of experience in the stamping industry preferred.</li><li>Bachelors degree with 5+ years of manufacturing experience; a major in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, or a related discipline is preferred.</li><li>Strong knowledge of stamping processes, quality management, and equipment management.</li><li>Familiarity with or lean manufacturing tools.</li><li>Experience leading continuous-improvement projects.</li><li>Excellent team leadership and people-management skills.</li><li>Strong communication, coordination, and cross-functional collaboration skills.</li><li>Strong analytical and problem-solving abilities.</li><li>Project-management and continuous-improvement capabilities.</li><li>Data-analysis and business-management skills.</li><li>Results-oriented and customer-focused mindset.</li><li>Strong execution skills and strategic thinking.</li></ul>

Responsibilities: <ul><li>Provide vision, leadership, and strategic direction for data engineers to deliver modern, high-quality data pipelines, models, and products, while fostering</li><li>innovation and new approaches to solving enterprise technical challenges.</li><li>Lead cloud data transformation and migration initiatives, helping define target-state cloud data engineering standards while ensuring solutions are resilient, scalable, high-performing, cost-optimized, and secure.</li><li>Drive data engineering excellence through AI adoption, automation, reusable frameworks, pipeline standardization, testing automation, and continuous</li><li>improvement to reduce complexity, increase consistency, and accelerate delivery.</li><li>Establish and advance best practices for data ingestion, transformation, standardization, productization, data quality, metadata management, lineage,</li><li>observability, orchestration, automated deployment, data protection, and secure data consumption.</li><li>Oversee the development of best-in-class data models and testing practices that are aligned to business objectives and enable trusted, consistent, secure, and easily usable data across the enterprise.</li><li>Partner with company leaders, the Data Office, Supervisory Affairs, Risk &amp; Compliance, other process owners, and other Technology and Business</li><li>stakeholders to ensure strategic data solutions sufficiently mitigate risk, strengthen controls, and respond to regulatory expectations.</li><li>Champion agile delivery with the Office of Agile and cross-functional teams using SAFe methods, managing execution across multiple priorities, projects, and release trains while proactively addressing dependencies, risks, and issues.</li><li>Develop, coach, and retain a high-performing team through skill development, career growth, inclusive leadership, succession planning, and ongoing focus on</li><li>team effectiveness.</li><li>Perform other duties and/or special projects as assigned.</li></ul> Requirements: <ul><li>Bachelors Degree and a minimum of 12 years of IT experience, OR in lieu of a Degree minimum of 14 years of experience in an IT environment</li><li>Minimum of 5 years of data engineering experience leveraging public cloud capabilities.</li><li>Minimum of 7 years of experience in a large complex organization</li><li>Minimum of 9 years of Demonstrated experience leading data engineering delivery for enterprise-scale data platforms, pipelines, data models, or analytic products.</li><li>Ability to communicate complex technical concepts clearly to business, technology, risk, and executive stakeholders</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>

Responsibilities: <ul><li>Continuously monitor security consoles and dashboards (SIEM, EDR, etc.) for suspicious activity; triage alerts to identify valid security incidents versus false positives and prioritize response based on asset criticality and business risk.</li><li>Investigate suspicious activities and security events, determine the scope and severity of incidents, and gather relevant evidence. Perform root cause analysis to identify attack vectors and affected systems.</li><li>Execute incident response actions end-to-end – including timely containment of threats, eradication of malicious artifacts, and system recovery – following the organization’s incident response plan. Coordinate with IT infrastructure, application owners, and other stakeholders to ensure effective remediation of incidents.</li><li>Proactively hunt for indicators of compromise and hidden threats in logs, network traffic, and endpoint telemetry, even without specific alerts. Use hypothesis-driven techniques and knowledge of attacker TTPs to uncover stealthy or emerging threats that evaded initial detection.</li><li>Continuously tune SIEM/EDR detection rules, thresholds, and SOAR playbooks—automating repetitive response actions to reduce false positives and accelerate containment</li><li>Leverage internal and external threat intelligence sources to enrich analysis and response. Stay updated on new vulnerabilities and adversary tactics; incorporate this knowledge to adjust monitoring rules and incident response strategies. Map observed malicious activities to frameworks like MITRE ATT&amp;CK for reporting and analysis.</li><li>Work closely with global SOC team members and escalate complex incidents to senior analysts or incident response leads when necessary. Collaborate with colleagues in other regions to ensure seamless coverage and knowledge sharing across the security team.</li><li>Document investigation steps, findings, and actions taken for each incident in a clear and concise manner. Prepare incident reports and contribute to post-incident review meetings, highlighting what occurred, how it was resolved, and recommendations to prevent future occurrences.</li><li>Assist in developing and updating incident response playbooks, standard operating procedures, and knowledge base documentation. Provide feedback and suggestions to improve security monitoring tools, analytics content (detection rules), and workflow automation (SOAR playbooks) for greater efficiency and effectiveness.</li><li>Share insights from incidents and trending threats with the broader team to enhance overall awareness. Mentor and guide junior analysts (Tier 1 SOC analysts) by sharing analysis techniques and best practices, elevating the team’s collective skill level.</li></ul> Requirements: <ul><li>Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, or equivalent threat management &amp; incident response experience</li><li>Currently hold cybersecurity certifications such as GCIH, GCFA, GCIA, CEH, others</li><li>With 3 years or more, progressive experience in at least two of the following disciplines:</li><li>Threat Detection &amp; Analysis (leveraging SIEM tools, IDS/IPS, endpoint detection, log analysis, etc.)</li><li>Incident Response &amp; Management (developing response plans, executing playbooks, forensic investigations, root cause analysis)</li><li>Threat Hunting (identifying undetected threats through proactive analysis and hypothesis-driven investigation)</li><li>Cyber Threat Intelligence (gathering and analyzing threat intelligence to inform detection capabilities and preventive measures)</li><li>Network Security (TCP/IP protocols, firewalls, intrusion prevention systems, and network traffic analysis)</li><li>Securing and monitoring operating system and cloud environments (AWS, Azure, GCP), including analyzing cloud service logs and configurations for suspicious activities, and understanding cloud-native security controls and best practices</li><li>Demonstrated ability to:</li><li>Function as a Level 2 or 3 SOC Analyst (analyzing and responding to cybersecurity incidents)</li><li>Preferred Experience:</li><li>Experience with SOAR tools and some proficiency in scripting languages (e.g., Python, PowerShell) to automate repetitive tasks and streamline incident response workflows</li><li>Advanced understanding of emerging threats, zero-day vulnerabilities, and common attack vectors (phishing, malware, ransomware, lateral movement) with the ability to ensure rapid detection and response</li><li>Hands-on experience using SIEM and EDR platforms for centralized log analysis, real-time threat monitoring, and in-depth incident investigations</li><li>In-depth knowledge of the incident response lifecycle</li><li>Proven ability to conduct proactive threat hunting operations, leveraging the MITRE ATT&amp;CK framework to map adversary tactics, techniques, and procedures (TTPs), uncover stealthy threats, and close gaps in detection coverage</li><li>Familiarity with cyber threat intelligence feeds and standards (e.g., STIX, TAXII), incorporating IOCs (Indicators of Compromise) and threat intel data into monitoring and investigations to enrich context and anticipate emerging threats</li><li>Understanding of key security frameworks and regulations (e.g., NIST CSF, ISO 27001, GDPR) and the ability to align threat detection and incident response processes with organizational policies and compliance requirements</li><li>Effective at coordinating with cross-functional teams (IT, DevOps, Business, etc.) during high-impact incidents and translating complex technical findings into clear, actionable insights for executive and non-technical stakeholders</li></ul>

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Responsibilities: <ul><li>The Finance Business Partner, Operations will be providing timely, relevant and accurate information and insightful analysis to facilitate decision-making of senior management.</li><li>Developing the capability to drive swift data extraction and visualization bringing visibility and transparency of key business metrics.</li><li>Focused on finding meaningful insights to support continued and sustainable profitable growth of the our client business.</li><li>Drive improvement in the conversion cost and site fixed overhead vs budget and historical periods.</li><li>Also, bringing actionable insights, identity focus areas and run simulations for site management to optimize the cost level, in line with forecasted business activity.</li><li>Need monthly tracking and action monitoring, working collaboratively with site teams across different functions, and create visibility with global manufacturing team on the improvement actions.</li><li>Drive digital transformation journey of finance function and be instrumental in increasing utilization of BI tools, especially Power BI.</li><li>To include developing the dashboards and power query models required to achieve efficiency in data extraction and visualization.</li><li>Understand diverse internal and external data source and its architecture.</li><li>Able to integrate various data source for seamless automation of business analysis resulting in optimization of core financial workflows, enhancing efficiencies.</li><li>Able to perform analysis using large complex dataset, enhance the reports to improve performance tracking against targets and trend identification.</li><li>Effective contribution in annual budgeting and monthly forecasting process, such as developing templates for end-to-end budget planning and forecasting process.</li><li>Build and foster strong cross-functional relationships across business constituencies and stakeholders specially group support functions like Supply Chain, Manufacturing Ops and Procurement. Help the company understand how the pieces fit together to drive performance and strengthen the team’s partnership and influencing skills in pursuit of growth.</li><li>Price, Mix and Volume Analysis for Margin Improvements</li><li>Proactive participation in various business improvement/ad hoc projects.</li><li>Manages the overall Financial Reporting and Analysis activities in the production and delivery of all standard reporting (including template and chart updates), ad hoc reporting, presentation materials; and non-pricing / profitability (costing) analysis for the business, in accordance with defined standards.</li></ul> Requirements: <ul><li>At least 8-10 years’ work experience in Finance with at least 6 years’ experience in FP&amp;A</li><li>Experience working in manufacturing environment is a must</li><li>Strong business acumen.</li><li>Strong financial, technical, and quantitative analytical skills</li><li>In-depth knowledge of accounting principles, practices and regulatory issues and their application to a wide variety of areas</li><li>Ability to take ownership of a task or process, and see it through from inception to completion</li></ul> Preferred Skills <ul><li>Proven track record of developing and implementing value-added financial analysis</li><li>Self-awareness and ability to handle tight deadlines and manage complex business challenges</li><li>Demonstrated experience in analyzing and synthesizing complex financial data into meaningful executive summary statements</li><li>Excellent verbal and written skills, analytical thinker / problem solver, interpersonal skills, attention to details</li><li>Advance Excel skill, MS office and data management, Power BI skill is added advantage</li></ul> Key Relationships with Internal and External Stakeholders <ul><li>Operational Leadership</li><li>Site Finance Controllers</li><li>Group Finance Team</li><li>Site GMs and Operation team</li></ul> Additional Notes <ul><li>Sound financial knowledge with Chartered Accountant background</li></ul>

Role Description:&nbsp; <ul><li>We are hiring a Supply Chain Project Engineer to lead and manage engineering and CAPEX projects within a manufacturing environment.&nbsp;</li><li>This role involves working closely with global engineering teams and plant operations to deliver projects on time, within budget, and aligned with business goals.</li></ul> Responsibilities: <ul><li>Lead end-to-end project execution (design, installation &amp; commissioning).</li><li>Support technical proposals, cost estimation, and project planning.</li><li>Coordinate with suppliers, contractors, and cross-functional teams.</li><li>Supervise installation and construction activities on-site.</li><li>Ensure projects meet EHS, quality, and food safety standards.</li><li>Manage budget, timelines, and resource planning.</li><li>Work closely with global engineering, production, maintenance, and operations teams.</li><li>Support CAPEX planning and execution for plant initiatives.</li></ul> Requirements: <ul><li>Bachelor’s degree in engineering as Mechanical, Electrical or equivalent. MBA or Management degree is preferred.</li><li>Working with manufacturing environment is preferred. Minimum 4 years of engineering experience with minimum 3 years for project management.</li><li>Knowledge of mechanical, electrical and construction/structure are required. Also, good computer background is a must.</li><li>English communication skill is necessary in both speaking and writing.</li><li>Able to work with government officers and public organizations.</li><li>Knowledge of food industry and financial issues including CAPEX&nbsp;</li></ul>

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24 buyer skill Jobs found

Equipment Maintenance Manager

Manager - Training

Stamping Manager

VP, Senior Data Engineering Manager

Talent Acquisition Specialist

Senior Analyst, Threat Detection and Response

Forward Deployed AI Scientist

Finance Business Partner

TA Specialist

Assistant Manager, SC Projects

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Skills

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24 buyer skill Jobs found

Equipment Maintenance Manager

Manager - Training

Stamping Manager

VP, Senior Data Engineering Manager

Talent Acquisition Specialist

Senior Analyst, Threat Detection and Response

Forward Deployed AI Scientist

Finance Business Partner

TA Specialist

Assistant Manager, SC Projects

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

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