Business Process Analyst – Quality Assurance

Manager - Hire to Retire

Senior Engineer, Global Facilities Central Engineering, Construction - Mechanical

Stamping Manager

AVP/VP, Software Engineer, Technology Group

Lead, Data & AI Governance

Senior Manager, Group Tax

VP, Senior Data Engineering Manager

Machine Learning Engineer Lead

Application Performance Monitoring Lead Specialist  VP2

Responsibilities: Process Documentation and Modelling: <ul><li>Collaborate with business stakeholders and process owners to understand and document existing processes using BPMN notation.</li><li>Create detailed process maps, workflows, and diagrams that accurately represent the end-to-end processes and related activities.</li><li>Ensure that all process documentation is clear, consistent, and follows best practices in BPMN modelling.</li></ul> Process Analysis and Optimization: <ul><li>Analyse the documented processes to identify inefficiencies, bottlenecks, and areas for improvement.</li><li>Work with cross-functional teams to propose process optimizations and enhancements using BPMN-tool capabilities.</li><li>Validate process changes with stakeholders and ensure that process improvements align with organizational goals.</li></ul> BPMN-Tool Management: <ul><li>Utilize BPMN-tool to create, update, and maintain process documentation in a centralized and accessible manner.</li><li>Stay up-to-date with the latest features and updates of the BPMN-tool and identify opportunities to leverage new functionalities.</li><li>Train team members and stakeholders on using the BPMN-tool effectively for process documentation and analysis.Additional Requirements &amp; Remarks</li></ul> Process Governance and Compliance: <ul><li>Ensure that all documented processes adhere to relevant industry standards, regulations, and internal policies.</li><li>Implement version control and change management protocols to maintain the accuracy and integrity of process documentation.</li><li>Collaborate with the various supply chain teams to validate process adherence and identify areas for improvement.</li></ul> Continuous Improvement: <ul><li>Act as a champion for process excellence, promoting a culture of continuous improvement within the organization</li><li>Identify opportunities to automate processes or integrate other technology solutions to streamline workflows.</li><li>Monitor industry trends and best practices related to BPMN and process documentation to drive ongoing improvements.</li></ul> Requirements: <ul><li>Bachelors degree in Quality Management, Industrial Engineering, Manufacturing Engineering, Business Administration, or a related field. Masters degree is a plus.</li><li>Proven experience (typically 3+ years) in business process management, process documentation, or related roles.</li><li>Fluent English</li><li>Experience driving process improvements in the area of Quality Management&nbsp;&nbsp;</li><li>Experience in quality assurance/ quality management system in industrial manufacturing company.</li><li>Strong proficiency in BPMN notation and experience using BPMN-tools for process modeling (e.g., Bizagi, Signavio, Camunda, etc.).</li><li>Analytical mindset with the ability to identify process improvement opportunities through data analysis.</li><li>Excellent communication skills, both written and verbal, to effectively collaborate with stakeholders and present complex concepts.</li><li>Project management skills to handle multiple process documentation projects simultaneously.</li><li>Understanding of process improvement methodologies such as Lean, Six Sigma, or Business Process Reengineering (BPR).</li><li>Familiarity with compliance and regulatory requirements related to business processes.</li></ul>

Role Description:&nbsp; <ul><li>The Manager, Hire to Retire Process Transformation is responsible for leading the day-to-day delivery of transformation projects and workstreams across the Hire-to-Retire lifecycle within Human Capital Services.&nbsp;</li><li>Reporting to the Associate Director, the role translates the transformation agenda into executable plans, standardized processes, and digital-enabled solutions, working hands-on across process design, system configuration, data, and change.</li><li>It combines strong project delivery discipline with practical HC process and technology expertise to move Group Services towards a best-in-class shared services operating model.&nbsp;</li><li>The role is a key delivery partner to the Associate Director and to vertical HR teams, ensuring initiatives are delivered on time, on budget, and to the intended quality, while coordinating junior team members and third-party resources.&nbsp;</li></ul> Responsibilities:&nbsp; 1. Transformation Project &amp; Workstream Delivery&nbsp; <ul><li>Lead the planning, delivery, and reporting of assigned transformation projects and workstreams across the entire Hire-to-Retire lifecycle; managing scope, timelines, budgets, risks, and issues.&nbsp;</li><li>Develop and maintain project plans, delivery artefacts, and status reporting for the Associate Director and governance forums.&nbsp;</li><li>Coordinate project stakeholders, cross-functional contributors, and vendor resources to deliver against agreed milestones.&nbsp;</li></ul> 2. Process Standardization &amp; Improvement&nbsp; <ul><li>Analyze current-state Hire-to-Retire processes across verticals and design standardized, simplified, and automated future-state processes.&nbsp;</li><li>Document process maps, standard operating procedures, and service definitions, embedding controls-by-design and data quality requirements.&nbsp;</li><li>Identify and quantify efficiency, experience, and control improvement opportunities to build the case for change.&nbsp;</li></ul> 3. Digital &amp; Technology Enablement&nbsp; <ul><li>Support the configuration, testing, and deployment of HR platforms (HCM, ATS, LMS, ServiceNow, workforce analytics) in partnership with Group IT and vendors.&nbsp;</li><li>Gather and document business requirements, translate them into functional specifications, and manage user acceptance testing.&nbsp;</li><li>Support the expansion of service management capabilities such as ticket taxonomy, SLAs, and self-service workflows.&nbsp;</li></ul> 4. Data, Analytics &amp; Insight&nbsp; <ul><li>Compile, validate, and analyze workforce and process data to support business cases, benchmarking, and decision-making.&nbsp;</li><li>Build clear, traceable analysis and reporting, including cost-to-serve, cycle time, volumes, and quality metrics.&nbsp;</li><li>Support the development of dashboards and management reporting that track transformation benefits and service performance.&nbsp;</li></ul> 5. Change Enablement &amp; Stakeholder Engagement&nbsp; <ul><li>Alongside our Change and Communications team, deliver change management activities for assigned initiatives, including stakeholder engagement, communications, training, and adoption support.&nbsp;</li><li>Run stakeholder interviews and workshops to capture pain points, requirements, and priorities across the Hire-to-Retire lifecycle.&nbsp;</li><li>Build strong working relationships with vertical HR teams and enabling functions to secure buy-in and sustained adoption.&nbsp;</li></ul> 6. Value Realization &amp; Continuous Improvement&nbsp; <ul><li>Track delivery against defined success metrics and support the realization and reporting of transformation benefits.&nbsp;</li><li>Capture lessons learned and embed a culture of continuous improvement and service excellence within Human Capital Services.&nbsp;</li><li>Contribute to the ongoing development of transformation standards, tools, and delivery methodology.&nbsp;</li></ul> Requirements: Qualifications &amp; Experience&nbsp; <ul><li>Bachelors or Masters degree in HR, Business, Information Systems, or a related discipline.&nbsp;</li><li>6 to 10 years experience in HR transformation, HR shared services, consulting, or enterprise HC operations.&nbsp;</li><li>Proven experience delivering process and technology change within complex, multi-entity organizations.&nbsp;</li><li>Practical experience with HR technology ecosystems (for example HCM, ATS, LMS, and ServiceNow) and workforce data and analytics.&nbsp;</li><li>Exposure to AI-enabled solutions within the Human Capital services domain is an advantage.&nbsp;</li><li>Recognized project management or process improvement certification (for example PMP, PRINCE2, Agile, or Lean Six Sigma) is desirable.&nbsp;</li></ul> Key Competencies&nbsp; <ul><li>Project and workstream delivery.&nbsp;</li><li>End-to-end HC process design and improvement.&nbsp;</li><li>HR technology enablement and requirements management.&nbsp;</li><li>Workforce data analysis and reporting.&nbsp;</li><li>Stakeholder engagement and change enablement.&nbsp;</li><li>Structured problem-solving and attention to detail.&nbsp;</li><li>Commercial and value-oriented mindset.&nbsp;</li></ul>

Responsibilities: <ul><li>Build effective collaboration across facilities, procurement, manufacturing, IT, and operations teams</li><li>Communicate project updates, risks, and key milestones to stakeholders and leadership</li><li>Identify risks, escalate issues proactively, and recommend mitigation strategies</li><li>Support root cause analysis and technical problem-solving across global sites</li><li>Contribute to development and standardization of Best Known Methods (BKMs)</li><li>Drive alignment of engineering priorities with global facilities strategies</li><li>Lead or support capacity planning and scenario analysis across site networks</li><li>Support sustainability initiatives aligned with corporate goals</li><li>Lead construction engineering activities for semiconductor facilities across design, construction, commissioning, and operations phases</li><li>Provide technical engineering support to construction teams to drive project execution and operational excellence</li><li>Manage scope, schedule, cost, and quality to meet project and business requirements</li><li>Support large-scale greenfield fab projects across U.S. and Asia, ensuring compliance with standards and regulatory requirements</li><li>Review engineering design packages and provide timely, documented feedback</li><li>Monitor construction progress and resolve technical issues during project execution</li><li>Support cost estimation, scheduling, and business case development</li><li>Coordinate with internal teams and external consultants to ensure alignment with project goals</li><li>Drive continuous improvement in construction practices with a focus on efficiency, innovation, and sustainability</li></ul> AI Responsibilities: <ul><li>Integrate AI-assisted tools into engineering and project workflows to enhance efficiency, quality, and decision-making</li><li>Identify opportunities to apply AI-driven insights in construction engineering, data analysis, and project planning</li><li>Contribute to continuous improvement by sharing AI-enabled best practices within the team</li></ul> Requirements: <ul><li>Minimum Required Qualifications / Experience</li><li>Bachelors degree in Mechanical Engineering, Construction, Building Services, or related field.</li><li>Minimum 8 years of mechanical engineering experience, including 5 years supporting construction projects.</li><li>Strong semiconductor facilities and process systems design experience (Cleanroom HVAC, CHW, PCW, Exhaust, CDA, Vacuum, etc.).</li><li>Experience working in EPCM project environments.</li><li>Ability to review engineering drawings, specifications, and technical designs.</li><li>Experience in project execution, including cost control, scheduling, commissioning, and handover.</li><li>Strong knowledge of construction engineering practices within semiconductor or similar industries.</li><li>Excellent technical problem-solving and root-cause analysis skills.</li><li>Strong communication, stakeholder management, and cross-functional leadership abilities.</li><li>Ability to work effectively in a global, multicultural environment.</li><li>Ability to apply baseline digital fluency and AI literacy to utilize AI-enabled tools for engineering analysis, problem-solving, and operational efficiency</li><li>Highly Desirable / Preferred Skills or Experience</li><li>Professional certification or membership in a recognized engineering body</li><li>Experience working on semiconductor fab or large industrial projects</li><li>Experience in greenfield construction projects</li><li>Knowledge of sustainability practices in construction and facilities</li><li>Experience working across global or regional teams</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>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>

Responsibilities: <ul><li>Supporting the Group Head, Tax to manage the tax risk of the Group on a global basis. This includes progressively rolling out the Group’s Tax Risk and Governance Framework from HQ to overseas subsidiaries, assessing their tax risk profile, identifying, mitigating and rectifying tax risk.&nbsp;</li><li>Responsible for developing processes and framework to comply with changes in tax/regulatory requirements such as country by country reporting and BEPS 2.0 compliance requirements.&nbsp;</li><li>Review tax processes and implementation of automation solutions, where appropriate, to capture appropriate data for tax reporting.&nbsp;</li><li>Analysis of Budget announcement and providing a summary and changes and impact analysis for dissemination to senior management and various affected business units.</li><li>Business Partnering: Tax advisory, planning and structuring, transfer pricing analysis and documentation, provide internal training, tax planning and structuring for M&amp;A projects, identifying opportunities for optimization, etc. Managing the tax issues on transactions including key finance and commercial initiatives, funding and repatriation, structuring and simplification.</li><li>Compliance: ensure compliance for all direct and indirect taxes (GST/VAT, duties, WHT, etc), including the implementation of daily transaction checks and analysis within the current Tax Risk &amp; Governance Framework. Review corporate tax, GST and withholding tax calculations and ensure timely tax filings for the entities within the Group.</li><li>Proactively prepare and document advice on tax filing positions, audits and rulings. Partner with the entities in the Group to ensure compliance with the company’s tax policies and business models, and liaising with external tax consultants, where necessary.&nbsp;</li><li>Manage tax audits and investigations of entities within the Group.</li><li>Any other ad-hoc duties as assigned.</li></ul> Requirements: <ul><li>Degree in Accounting related academics, with a major in taxation. Accredited Tax Advisor (Income Tax);</li><li>Minimum 10 years of relevant working experience in the Big 4, OR in both Big 4 and a global corporate organization;</li><li>Excellent understanding of the key principles and practices of direct and indirect taxes across the Asia Pacific region;</li><li>Excellent understanding of international tax principles including inbound and outbound structuring issues, funding and repatriation strategies and transfer pricing considerations;</li><li>Excellent understanding of tax reporting and experience in managing tax audits and investigations;</li><li>Ability to manage multiple projects and excel under pressure and tight timelines;</li><li>Self-starter, pro-active sole contributor and strong team player with the ability to lead and coach regional/global finance accountants/teams;</li><li>Able to influence, engage and build strong relationships &amp; trust at all levels;</li><li>Excellent judgment, people and communication skills</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: &nbsp;<ul><li>Lead, mentor, and grow a team of 4-5 ML engineers.</li><li>Provide architectural direction and code-level guidance.</li><li>Establish engineering best practices for ML system design, testing, and deployment.</li><li>Conduct design reviews, performance reviews, and technical roadmap planning.</li><li>Architect distributed ML systems serving multiple global products.</li><li>Standardize infrastructure patterns for LLM serving and retrieval systems.</li><li>Define and implement enterprise-ready agentic frameworks.</li><li>Architect multi-step reasoning systems.</li><li>Lead decisions on deterministic workflows vs. autonomous agents.</li><li>Implement guardrails, safety layers, and traceability mechanisms.</li><li>Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.</li><li>Establish CI/CD standards for ML lifecycle management.</li><li>Ensure compliance with enterprise data governance and responsible AI standards.</li></ul>&nbsp;Requirements &nbsp;<ul><li>8-10 years of Machine Learning/Software Engineer experience</li><li>2-3 years of people management experience.</li><li>Master’s degree or bachelors degree, computer science degree is highly desirable.</li><li>Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data.</li></ul>

Responsibilities: <ul><li>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>

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142 hr practices Jobs found

Business Process Analyst – Quality Assurance

Manager - Hire to Retire

Senior Engineer, Global Facilities Central Engineering, Construction - Mechanical

Stamping Manager

AVP/VP, Software Engineer, Technology Group

Lead, Data & AI Governance

Senior Manager, Group Tax

VP, Senior Data Engineering Manager

Machine Learning Engineer Lead

Application Performance Monitoring Lead Specialist VP2

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Business Process Analyst – Quality Assurance

Manager - Hire to Retire

Senior Engineer, Global Facilities Central Engineering, Construction - Mechanical

Stamping Manager

AVP/VP, Software Engineer, Technology Group

Lead, Data & AI Governance

Senior Manager, Group Tax

VP, Senior Data Engineering Manager

Machine Learning Engineer Lead

Application Performance Monitoring Lead Specialist VP2

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