Senior Executive - Business Transformation (LOT)

Regional Manager of Security Operations

Principal/Staff Engineer – Firmware Development

VP, Enterprise Cybersecurity Engineering

Lead, Data & AI Governance

Technical Director, Advanced Packaging Integration

AVP, Principal Software Engineer (Senior Technical lead)

AI / ML Engineer

Solution Architect, Cargo Management Systems

AVP - Group Human Capital Solution Architect

Responsibilities: <ul><li>Support the implementation of BIM and VDC processes across design, construction, and asset handover phases.</li><li>Assist in reviewing BIM models and project information to ensure compliance with client standards and ISO 19650 requirements.</li><li>Participate in model coordination, clash detection, and multidisciplinary coordination workshops with project stakeholders.</li><li>Support reality capture initiatives, including drone surveys, laser scanning, photogrammetry, and 360° site documentation.</li><li>Contribute to the development and continuous improvement of BIM standards, workflows, and digital delivery practices.</li><li>Assist in analyzing project and asset data to support digital reporting, performance monitoring, and informed decision-making.</li><li>Research, evaluate, and support the adoption of emerging technologies such as Digital Twins, AI, IoT, reality capture, and advanced analytics solutions.</li><li>Support innovation initiatives, pilot projects, and technology assessments aimed at improving project delivery, operational efficiency, and sustainability outcomes.</li><li>Monitor industry trends and best practices in BIM, VDC, PropTech, ConTech, and digital transformation to identify opportunities for continuous improvement and innovation.</li></ul> Requirements: <ul><li>Bachelor’s degree in architecture, Engineering, Construction Management, or a related built-environment field.</li><li>Basic understanding of BIM, digital design, construction processes, and project information management.</li><li>Strong interest in BIM, VDC, digital construction, innovation, and emerging technologies</li><li>0-3 years of experience; fresh graduates are encouraged to apply.</li><li>Internships, university projects, research, competition, or extracurricular experience related to BIM, design, construction technology, data, or innovation is an advantage</li><li>Basic proficiency in one or more BIM or design applications such as Autodesk Revit, , Navisworks, or equivalent tools.</li><li>Interest in reality capture, drones, laser scanning, 360-degree imagery, GIS, digital twins, AI, and immersive technologies.</li><li>Proficiency in Microsoft 365 applications, particularly Excel, PowerPoint, Word, Outlook, and Teams; Power BI knowledge is an advantage.</li><li>Analytical thinking, attention to detail, problem-solving, research, and data interpretation skills.</li><li>Clear written and verbal communication, presentation, teamwork, time management, and willingness to learn.</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: SUPPORT CUSTOMERS AND DEBUG FIRMWARE <ul><li>Customer engineering support: Act as the primary technical escalation point for Security Firmware on SSD products — triage, prioritize, and drive customer reported security issues to closure within committed response times</li><li>Security feature enablement: Guide customers through the configuration, integration, and validation of SSD security features; including, but not limited to: TCG Opal/Pyrite/Ruby and Enterprise SSC, ATA and NVMe security commands, self-encrypting drive operation, secure boot and signed firmware update, sanitize and cryptographic erase, key management, and device attestation</li><li>Debug and root cause analysis: Reproduce customer, qualification, and field failures in the lab; analyze firmware logs, traces, and bus captures; debug Security Firmware source; and deliver documented root cause and corrective action</li><li>Firmware fixes and validation: Develop, unit test, and functionally validate targeted Security Firmware changes and customer specific configurations and builds, ensuring each change meets the security, functional, performance, and quality/reliability requirements of the technical spec matrix before release</li><li>Vulnerability and incident response: Assess the impact of reported vulnerabilities and security findings on products already in the field, and support mitigation planning, remediation delivery, and customer disclosure</li><li>Customer qualification and compliance support: Support customer security audits, security questionnaires, and certification activities (e.g. TCG specification compliance, FIPS 140-3, Common Criteria), and produce the application notes, integration guides, and technical documentation customers depend on</li></ul> STAKEHOLDER MANAGEMENT <ul><li>Represent our client in direct technical engagement with customer engineering teams, translating Security Firmware behavior, constraints, and risk into terms that are clear to both engineering and non-engineering audiences</li><li>Dedicatedly provide to management, multi-functional team members, and the firmware team consistent, detailed, and properly summarized information regarding customer issues, escalation status, and the progress of firmware fixes</li><li>Maintain accurate issue records, root cause reports, and knowledge base content so that recurring customer questions are answered faster over time</li></ul> PEOPLE DEVELOPMENT <ul><li>Multi-functional Teamwork: Develop and maintain collaborative, open and, constructive relationships with peers, management, and partner teams across firmware development, product engineering, quality, and field applications</li><li>Team Development: Provide technical capability that continuously improves team involvement, morale, and productivity</li><li>Personal Development: Work to continuously improve your technical capability and communication skills</li></ul> AI UTILIZATION <ul><li>Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and requirements.</li><li>Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.</li></ul> Requirements: <ul><li>Bachelors/masters degree in computer or electrical engineering with 5+ years of relevant experience.</li><li>Experience in a customer facing engineering role such as customer engineering support, field applications, sustaining engineering, or escalation management is strongly preferred</li><li>Embedded Security domain knowledge and experience, including cryptography fundamentals (AES, RSA/ECC, SHA), key management, secure boot, and secure firmware update</li><li>Familiarity with storage security standards and features such as TCG Opal and Enterprise SSC, ATA Security, NVMe security and sanitize commands, and self-encrypting drives is an advantage</li><li>Expertise in the use of programming languages (eg. C, C++, RUST), programming tools &amp; environments</li><li>Experience programming in Python for test automation, log parsing, and debug tooling is an advantage</li><li>Understanding of storage interfaces including ideally PCIe/NVMe, SATA, or SAS</li><li>Experience with NAND flash and other non-volatile storage is an advantage</li><li>Experience in storage industry, storage systems, or a related technology is an advantage</li><li>Proficiency in debugging and resolving code problems for firmware applications, including the use of debuggers, firmware trace and log analysis, and protocol analyzers</li><li>Experience with defect tracking, change control, and firmware release processes in a production or sustaining environment</li><li>Excellent written and verbal communication skills, with the ability to manage multiple concurrent escalations under time pressure and stay effective in customer visible situations</li><li>Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, and achieving business outcomes.</li></ul>

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>

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>Lead cross-functional efforts to develop and enable next-generation 2.xD packaging concepts, architectures, and technologies</li><li>Define, document, and implement end-to-end process flows for panel-level packaging technologies</li><li>Lead material selection, characterization, and compatibility assessments for large form factor substrates</li><li>Partner with customers to define and align process specifications and acceptance criteria</li><li>Collaborate with business units on process development (lithography, etch, thin films, etc.), module co-optimization, and technology transfer to customers</li><li>Contribute to our client equipment product strategy by providing feedback to business unit leaders on process and hardware enhancements required to meet customer roadmaps</li><li>Analyze process data to identify trends, drive optimization, and improve performance</li><li>Conduct root-cause analyses of defects and implement corrective actions to improve yield and reliability</li><li>Within established safety guidelines, design and execute complex engineering experiments; collect and analyze data; and deliver rigorous reports with innovative, practical solutions</li><li>Publish and present technical findings at leading industry conferences and in peer-reviewed journals</li><li>Mentor and guide early-career engineers; provide technical direction and best practices</li></ul> Requirements: <ul><li>Master’s degree with 10 years or PhD degree with 5 years of experience in Electrical Engineering, Materials Science, Chemical Engineering, or related field</li><li>In-depth knowledge and hands-on experience with advanced 2.xD packaging technologies such as fan-out panel-level packaging (FOPLP), (organic) interposer, substrate and wafer-level back-end technologies and related process flows</li><li>Expertise in semiconductor processing and integration, including lithography, dry etch, thin film deposition and materials modification techniques on wafer and/or panel-level</li><li>Strong understanding of process equipment and packaging specific materials, including selection criteria, process interactions and performance trade-offs</li><li>Proficiency in statistical data analysis (e.g. DoE, JMP)</li><li>Knowledge of industry standards and best practices in semiconductor packaging</li><li>Solid understanding of process characterization, metrology, materials &amp; failure analysis</li><li>Working knowledge of reliability requirements and qualification methodologies</li><li>Proven capability to lead multi-functional teams to resolve complex technical problems</li><li>Exceptional written and verbal communication skills</li><li>Develop clear, compelling technical presentations and executive‑level slides to effectively convey complex concepts</li><li>Drive structured technical discussions with customers and suppliers</li><li>Articulate positions, influence decisions, and align technical direction</li><li>Ability to produce high‑quality, technically rigorous written content such as reports, white papers, and publications</li><li>Ability to work effectively across geographies and time zones</li></ul>

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

Responsibilities: <ul><li>Design and development of robust, efficient and real-time algorithms for Analysis and Classification of Medical Images using state-of-art techniques from Image Processing, Pattern Recognition, Computer Vision and Machine Learning.&nbsp;</li><li>Development of innovative solutions for various problems related to Segmentation, Detection, classification and quantification of high resolution (~50K x 50K) coloured images for applications in Digital Pathology.&nbsp;</li><li>Design of efficient models in Machine Learning / Deep Learning for accurate analysis and classification of High resolution Images.&nbsp;</li><li>To learn and update oneself on the emerging trends of technology and apply them in the projects for better results leading to publications and patents.&nbsp;</li><li>Explore new areas of Expert Systems, Cognitive Computing, Artificial Intelligence, Computational Photography etc.&nbsp;</li><li>Define and estimate technical solutions, document technical approach options and recommendations.</li></ul> Requirements: <ul><li>PhD / M. Tech. / M.E. / M.C.A. (preferably from CSE / IT / ECE / EE background)&nbsp;</li><li>B. Tech. / B.E. with exceptional academic/professional background&nbsp;</li><li>Image Processing, Pattern Recognition, Computer Vision&nbsp;</li><li>Machine Learning, Deep Learning&nbsp;</li><li>Experience with Medical Image Processing is an added advantage&nbsp;</li><li>Hands-on experience in developing and implementing Image Processing and Machine Learning algorithms&nbsp;</li><li>Strong programming knowledge in Pytorch, Tensorflow&nbsp;</li><li>Hands-on experience in using Deep Learning frameworks and libraries&nbsp;</li><li>Concepts of parallel architecture on GPU is an added advantage</li><li>Should have 4+ years of experience in Image Processing, Segmentation, Pattern recognition, Computer Vision, Machine Learning, Image Processing, Object Detection, Pytorch, Tensorflow</li></ul>

Responsibilities Target State Architecture and Convergence <ul><li>Define and maintain the target state architecture for cargo management systems across the global network, covering platform selection, consolidation, integration, and retirement</li><li>Produce a roadmap that sequences how regional systems (Cargospot, COSYS+, ePic) move toward an agreed target, with clear architectural rationale for each decision</li><li>Document and govern architecture decisions to ensure transparency, consistency, and auditability</li><li>Maintain a current-state map of the platform estate, including capability overlap, integration debt, and footprint reduction opportunities</li></ul> Integration, Connectivity, and Data Architecture <ul><li>Define integration standards and patterns for cargo systems, including airline connectivity (ONE Record, Cargo-XML, EDI), messaging, and API design</li><li>Set the data architecture for the cargo estate so that operational, customer, and commercial data flows are consistent and reusable across stations</li><li>Establish interoperability requirements between cargo management systems and adjacent platforms</li><li>Govern the technical aspects of customer-specific connectivity so that customer requests are met without fragmenting the core platform</li></ul> Change Order Validation and Cost Governance <ul><li>Review and validate every material change order raised against the cargo management systems are justified by the actual scope of work</li><li>Assess the technical complexity of each change order independently to challenge vendor proposals where required</li><li>Challenge inflated, padded, or over-scoped change orders, and provide documented technical rationale of its decisions</li><li>Distinguish change orders that reflect genuine new scope from those that should fall within existing contractual obligations or standard product, protecting the network from avoidable cost</li><li>Maintain a defensible record of change-order assessments so that platform spend is traceable and auditable, and patterns of vendor over-scoping are visible to leadership</li></ul> Standards, Governance, and Technical Authority <ul><li>Own the architectural standards that regional implementations are held against, and run the technical review of material platform changes</li><li>Provide architectural input into product governance</li><li>Ensure vendor solution designs align with target architecture or introduce avoidable lock-in</li><li>Partner with cybersecurity and enterprise architecture functions to ensure cargo platform architecture meets security, audit, and regulatory requirements</li></ul> Delivery Partnership and Advisory <ul><li>Act as the senior technical advisor to the Digital Product Management function, translating strategic direction into an executable systems blueprint</li><li>Support platform evaluations and proofs of concept with rigorous technical assessment</li><li>Provide architectural guidance to regional technology teams during implementation, migration, and cutover</li><li>Communicate architecture clearly and plainly to non-technical leadership; state platform status honestly as live, in build, in pilot, or proposed</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, Information Systems, or related discipline required; postgraduate qualification preferred</li><li>Recognised enterprise architecture certification valued: TOGAF 9.2 or equivalent</li><li>Cargo Systems Domain (required): Deep, hands-on knowledge of cargo management systems and the cargo handling business is essential and non-negotiable for this role; ideally across more than one of Cargospot, COSYS+, or ePic, with a clear understanding of how these systems are used at station level in export, import, and special-handling flows.</li><li>This knowledge is the basis on which the role validates change orders and holds the architectural line</li><li>Change Order and Cost Assessment: Demonstrated ability to assess vendor change orders on cost, man-hour estimate, and technical complexity, and to challenge estimates that are not justified by the work; able to translate a technical scope into a defensible commercial judgement</li><li>Solution and Systems Architecture: 10 or more years in technology delivery with a minimum 5 years in a solution or systems architecture role for enterprise operational platforms</li><li>Integration and Connectivity: Strong practical experience with integration architecture, API design, and airline connectivity standards (ONE Record, Cargo-XML, EDI, IATA messaging)</li><li>Platform Convergence: Demonstrated experience consolidating or rationalising a multi-system estate, including migration sequencing and footprint reduction</li><li>Vendor Engagement: Proven experience evaluating and challenging platform vendors on architecture, integration, and total cost</li><li>Cross-Regional Delivery: Experience operating across APAC, EMEA, and Americas with the cultural fluency to navigate regional system ownership and variation</li><li>Sector Experience: Aviation, cargo, logistics, or other 24/7/365 operational environment strongly preferred</li></ul>

Responsibilities: HC Digital Strategy &amp; Business Partnership <ul><li>Act as the HC technology lead, engaging directly with HC senior leadership to define and sustain the HC digital vision and roadmap</li><li>Lead the strategic transformation from fragmented regional HC platforms to a unified Group-level solution</li><li>Advise HC executives on platform strategy, vendor alternatives, AI adoption, and investment trade offs</li></ul> Product &amp; Portfolio Leadership <ul><li>Lead, coach, and supervise HC Product Managers, ensuring clarity of accountability and consistent delivery</li><li>Oversee HC products including SAP SuccessFactors, all related regional tenants, and any additional HC Corporate Systems or Centres of Expertise</li><li>Ensure functional coverage of key HC modules, including - Core HR, Performance &amp; Goals, Succession &amp; Talent, Learning Management (LMS), Compensation, Recruiting &amp; Onboarding, and Related integrations and data flows</li></ul> Technology &amp; Partner Selection <ul><li>Lead technology evaluation, vendor comparison, and partner selection activities for HC solutions</li><li>Ensure IT standards compliance in close coordination with Enterprise Architecture, Data, Integration, and Cybersecurity teams</li><li>Ensure selected solutions support scalability, compliance, and innovation (including AI capabilities)</li></ul> Implementation Orchestration &amp; Transformation Delivery <ul><li>Orchestrate complex HC transformation programs, including tenant consolidation, migrations, and phased rollouts</li><li>Coordinate Product Managers, PMO, system integrators, and vendors across regions</li><li>Actively manage interdependencies, risks, and critical milestones</li><li>Step into direct delivery or leadership roles when program complexity or resourcing requires it</li></ul> AI, Innovation &amp; Capability Enablement <ul><li>Drive adoption of AI capabilities across key HC processes, including (but not limited to): Talent identification and skills intelligence, Learning personalisation, Workforce insights and predictive analytics, and Recruitment screening and experience enhancement</li><li>Ensure responsible, secure, and value-driven use of AI, aligned with Group data and ethics principles</li></ul> Governance &amp; Standards Compliance <ul><li>Ensure all HC solutions comply with Group Enterprise Architecture, Cybersecurity and data protection, and Integration and interoperability standards</li><li>Act as a key governance authority for HC design decisions in coordination with Group Design Authorities</li></ul> Operational Oversight &amp; Evolution <ul><li>Define and oversee HC operating models, including ownership, support, and escalation paths</li><li>Support Product Managers in structuring support models, release management, and vendor governance</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Information Technology, Business, Human Resources, or a related field.</li><li>Certifications in HR platforms, enterprise architecture, program management, or AI/data are advantageous.</li><li>Senior experience leading Human Capital technology transformations, preferably with SAP SuccessFactors in multi tenant or multi region environments. 3-5 years.</li><li>Additional expertise and experience in market HC technology references as Workday is also an asset.</li><li>Demonstrated experience managing or consolidating large HC landscapes (Core HR, Talent, Learning, Compensation, Recruiting).</li><li>Proven ability to evaluate and compare HC platforms (e.g. SuccessFactors vs Workday).</li><li>Strong understanding of AI applications in HC and digital workforce enablement.</li><li>Experience leading teams of Product Managers or Solution Owners in global organisations.</li><li>Solid understanding of enterprise architecture, integrations, data governance, and cybersecurity in HC systems.</li><li>Ability to operate credibly at both strategic and execution levels</li></ul>

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70 storage architecture Jobs found

Senior Executive - Business Transformation (LOT)

Regional Manager of Security Operations

Principal/Staff Engineer – Firmware Development

VP, Enterprise Cybersecurity Engineering

Lead, Data & AI Governance

Technical Director, Advanced Packaging Integration

AVP, Principal Software Engineer (Senior Technical lead)

AI / ML Engineer

Solution Architect, Cargo Management Systems

AVP - Group Human Capital Solution Architect

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Senior Executive - Business Transformation (LOT)

Regional Manager of Security Operations

Principal/Staff Engineer – Firmware Development

VP, Enterprise Cybersecurity Engineering

Lead, Data & AI Governance

Technical Director, Advanced Packaging Integration

AVP, Principal Software Engineer (Senior Technical lead)

AI / ML Engineer

Solution Architect, Cargo Management Systems

AVP - Group Human Capital Solution Architect

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