Cloud Engineering Manager

Lead, AI & Data Products (Technical)

Senior Executive - Business Transformation (LOT)

Regional Manager of Security Operations

Consulting Engineer - Collaboration

Consulting Engineer - Data Center

VP/SVP, Business Analyst, Technology Group

Senior Manager- Interior Design

Lead, Data & AI Governance

AVP, Principal Software Engineer (Senior Technical lead)

Responsibilities: <ul><li>Lead the engineering, operation, and continuous improvement of enterprise cloud platforms across Microsoft Azure (primary), AWS, and GCP, including landing zones, networking, platform services, and secure cloud foundations.</li><li>Build and maintain standardized delivery pathways, CI/CD pipelines, infrastructure-as-code (IaC) modules, GitOps practices, and environment automation to enable consistent, scalable, and compliant deployments.</li><li>Drive an automation-first engineering model, reducing manual intervention through policy-as-code, automated workflows, AI-assisted engineering, and agent-based execution of routine operational activities.</li><li>Develop and mature AIOps capabilities, including anomaly detection, intelligent alert correlation, automated remediation, and measurable reduction of operational toil.</li><li>Design and operate infrastructure supporting enterprise AI workloads, including GPU/accelerated compute, managed AI services, model serving and inference endpoints, vector and retrieval services, and secure AI landing zones.</li><li>Partner with Data &amp; AI teams to provide scalable, secure infrastructure for AI solutions while managing capacity, quotas, workload isolation, and AI infrastructure consumption and cost reporting.</li><li>Lead cloud reliability, observability, and resilience, establishing service level objectives (SLOs), error budgets, metrics, logging, tracing, recovery playbooks, and validated RTO/RPO requirements.</li><li>Implement cloud security, identity, and compliance guardrails through secure baselines, policy-as-code, workload identities, privileged access controls, and Microsoft Entra ID integration.&nbsp;</li><li>Maintain platform compliance with applicable data protection and industry standards, including GDPR, CCPA, PCI-DSS, and SOC 2, in partnership with Global Cybersecurity and other governance teams.</li><li>Execute FinOps and cloud optimization initiatives, including tagging and cost allocation, rightsizing, scheduling, storage optimization, reservations, savings plans, committed spend, forecasting, and consumption reporting.</li><li>Support the organizations cloud-first transformation, including modernization and consolidation of VMware workloads and rationalization of AWS and GCP environments around strategic business requirements.</li><li>Lead and develop a globally distributed cloud engineering team, establishing engineering standards, structured code and design reviews, operational discipline, continuous learning, and accountability for cloud providers and engineering partners.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent professional experience.</li><li>10+ years of progressive cloud and infrastructure engineering experience, including at least 3 years leading engineering teams with accountability for production platform services.</li><li>Expert-level, hands-on experience with Microsoft Azure, with demonstrated experience building and operating environments across AWS and GCP.</li><li>Deep experience with platform engineering and infrastructure-as-code, including Terraform, Bicep, GitOps, CI/CD pipelines, landing zones, and automated provisioning.</li><li>Demonstrated experience implementing cloud automation and AI-enabled operations, including AIOps, AI-assisted engineering, or agent-based automation.</li><li>Hands-on experience supporting AI/ML infrastructure, including GPU/accelerated compute, managed AI services, model serving, or AI workload platforms.</li><li>Strong production experience with Kubernetes (AKS, EKS, or GKE), cloud security, identity, observability, and reliability practices.</li><li>Experience leading distributed engineering teams and supporting highly available, business-critical technology environments.</li></ul> Preferred Skills <ul><li>Professional certifications such as Azure Solutions Architect Expert, AWS Certified Solutions Architect – Professional, Google Professional Cloud Architect, CKA, Terraform Associate, or FinOps Certified Practitioner.</li><li>Experience with Microsoft Entra ID, workload identity, privileged access, Conditional Access, zero-trust principles, and policy-as-code.</li><li>Experience with observability and SRE practices, including Grafana, Prometheus, Azure Monitor, CloudWatch, SLOs, and error budgets.</li><li>Working knowledge of FinOps, cloud cost optimization, tagging strategies, reservations, savings plans, and consumption reporting.</li><li>Experience migrating and modernizing VMware and on-premises workloads into cloud environments.</li><li>Experience leading global teams across the Americas, EMEA, and APAC.</li><li>Experience within aviation, transportation, logistics, field operations, or other 24/7/365 operational environments.</li></ul>

Role Description: <ul><li>The organization is investing in a small number of high-impact AI and data products intended to operate across its global station network. </li><li>Each requires a single accountable owner who can hold the technical architecture and the product direction together, from first implementation through multi-station scale.</li><li>We are looking for a Lead, AI &amp; Data Products to take that ownership.&nbsp;</li><li>This is a senior individual contributor role for an engineer or applied scientist who has moved into product leadership, not a product manager with adjacent technical exposure.</li><li>You will be expected to reason about model design, data architecture and production trade-offs at the level of the engineers building the system, and to hold the roadmap, business case and stakeholder relationships at the level of the executives funding it.&nbsp;</li><li>The role operates horizontally.</li><li>You will act as the single-threaded owner for assigned initiatives, working with the AI Centre of Excellence on patterns and feasibility, with Data Engineering and Platform on the data foundation, with Operational Excellence and the business product owners on process change, and with the forward deployed engineers in region on station rollout.</li></ul> This is a hands-on role. <ul><li>You will review and contribute to code, make architectural calls, and spend meaningful time at the frontline understanding operations directly rather than through documentation.</li></ul> Responsibilities: Technical product ownership <ul><li>Own the product end to end for assigned AI and data initiatives: discovery, technical architecture, roadmap, delivery sequencing and global rollout readiness.</li><li>Act as single-threaded owner. One person accountable for whether the product works, is adopted, and delivers its business case across stations and regions.</li><li>Convert programs into products.&nbsp;</li><li>Move initiatives currently run as projects onto a product footing with a roadmap, a lifecycle, named users and a benefit measure.</li><li>Make the build decisions: in-house, CoE pattern, capability center, or vendor. Own the trade-off and the consequences.</li></ul> Technical depth <ul><li>Set the architecture for AI and data products spanning forecasting, optimization, simulation, GenAI and agentic workflows, and defend it in technical review.</li><li>Work in the codebase. Review designs and pull requests, prototype where it resolves ambiguity faster than discussion, and contribute directly when delivery depends on it.</li><li>Own production quality: model robustness, explainability, evaluation, monitoring, latency and cost in service, not only at launch.</li><li>Build on the platform. Consume governed data through the semantic layer and apply CoE guardrails rather than constructing parallel capability.</li></ul> Business and delivery leadership <ul><li>Translate operational problems into technical solutions and, equally, translate technical constraints into terms operations and commercial leadership can act on.</li><li>Own the business case with the business product owner: the benefit hypothesis, the measurement approach and the reported outcome.</li><li>Lead without direct authority across engineering, data science, operations and regional teams, including delivery through the capability center and vendor partners.</li><li>Work from the frontline.</li><li>Regular Gemba at stations, with operational understanding built firsthand.</li></ul> Requirements: <ul><li>10+ years in engineering, applied AI or data science, with a substantial portion spent building and running systems in production rather than specifying them.</li><li>Demonstrable record of owning technical products end to end and scaling them beyond a first implementation into multi site or multi-market operation.</li><li>Depth in one or more of: forecasting (time series, probabilistic, hierarchical), optimization (MIP, LP, heuristics), simulation, or production GenAI and agentic systems, with working literacy across the others.</li><li>Strong Python and SQL, with practical command of the modern data and ML stack: cloud data platforms, pipelines, model deployment, evaluation and monitoring.</li><li>Experience influencing senior stakeholders and operating across engineering, operations and commercial functions without direct reporting lines.</li><li>Aviation, logistics or complex physical operations exposure is an advantage, not a prerequisite.</li></ul> Qualifications <ul><li>Bachelors, MSc or PhD in Computer Science, Engineering, Data Science, Mathematics, Operations Research or a related field. Personal characteristics</li><li>Technical credibility earned through building, not through managing builders.</li><li>Judgement on trade-offs between scope, speed and quality, with the confidence to decide under incomplete information.</li><li>Clear communication with engineers, operators and executives, adjusting register without losing precision.</li><li>Comfort with ambiguity and being accountable for outcomes rather than activity.</li></ul>

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: <ul><li>Work on advanced Collaboration, Webex and strategic customer solutions, driving adoption, optimisation and long-term customer outcomes.</li><li>Engage directly with customers, building trusted relationships and translating business requirements into technical solutions.</li><li>Design, deploy, migrate, integrate, optimise and troubleshoot Collaboration and Webex environments.</li><li>Support complex migrations and integrations across and third-party technologies, ensuring interoperability and optimal performance.</li><li>Troubleshoot complex Collaboration issues across CUCM, Webex Calling, SIP, voice, video, endpoints and network infrastructure, collaborating with TAC and other stakeholders on CAP case resolution.</li><li>Support Executive Briefings and QBRs, providing technical insights and recommendations aligned to customer business priorities and future-state outcomes.</li><li>Create customer-facing technical documentation, implementation guidance and reusable technical content aligned to CX standards.</li><li>Leverage AI, automation, APIs, programmability and orchestration to improve technical delivery, productivity and customer outcomes, while validating AI-generated outputs.</li><li>Explain complex technical concepts to diverse audiences and enable customers to effectively adopt and operate solutions.</li><li>Build knowledge of competitor and third-party technologies to support migration, integration and solution optimisation.</li><li>Contribute to technical knowledge sharing, automation artefacts, documentation templates and continuous improvement of delivery methodologies.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, with 8–12 years of experience in company Contact Center technologies across Enterprise and Service Provider environments.</li><li>Strong expertise in Contact Center solutions, including architecture, design, deployment, and implementation of platforms such as Unified Contact Center Enterprise (UCCE), Intelligent Contact Management (ICM), Customer Voice Portal (CVP), Unified Customer Voice Portal (CVP), Unified Communications Manager (CUCM), Finesse, and Unified Border Element (CUBE).</li><li>Proven experience in designing and implementing company Collaboration Contact Center components, including Agent Desktop, ICM scripting, CVP Call Studio scripting, and Contact Center reporting and analytics solutions.</li><li>In-depth understanding of telephony and call routing technologies, including SIP, H.323, MGCP, SCCP, ISDN PRI, QSIG, FXO, FXS, and POTS, with strong troubleshooting and integration capabilities.</li><li>Solid grasp of call flow design, routing strategies, and voice infrastructure protocols within large-scale enterprise contact center deployments.</li><li>Experience working with company UCS infrastructure and VMware virtualization technologies, including vCenter, ESXi, and vSphere Client.</li><li>Solid grasp of TCP/IP networking fundamentals and supporting infrastructure services/protocols such as DHCP, DNS, TFTP, NTP, and LDAP.</li><li>Experience with Webex Contact Center (Webex CC), including solution planning, migration, deployment, and implementation activities.</li><li>Familiarity with AI-driven capabilities and integrations within UCCE, Webex Contact Center, and Webex Customer Experience solutions</li></ul>

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

Responsibilities: <ul><li>Play a pivotal role in the design, build and adoption of technology solutions consumed by investment and risk professionals across the firm, working closely with solution architects and subject matter experts to build robust, scalable and impactful data products.</li><li>Build trusted relationships with senior business leaders, data management teams and technology partners to align priorities, manage trade-offs and drive tangible, high-impact business outcomes.</li><li>Manage the delivery of business solutions by applying strong analytical judgement, shaping delivery requirements, and priorities, as well as guiding teams to create measurable data and technology value for the business.</li><li>Develop deep domain understanding of investment processes and technology capabilities across the firm, and apply this knowledge to shape data strategy, solution design and delivery execution.</li><li>Provide data and technical leadership, direction and mentorship to raise the quality bar for data and engineering talent, while attracting, developing and retaining high-performing professionals.</li><li>Collaborate as an experienced team player, working directly with investment, data and technology professionals across company.&nbsp;</li></ul> Requirements: <ul><li>15 or more years of relevant data and technology experience, preferably in financial services, risk or asset management, including 5–8 years leading and collaborating with cross-functional business analysis, data and engineering teams to deliver impactful outcomes.</li><li>Good experience in the following:</li><li>Developing structured plans for the execution of data and technology solutions to uplift processes in relation to business analytics.</li><li>Defining data solution architecture and operationalizing it to unlock business value</li><li>Engaging senior stakeholders to influence adoption of data solutions</li><li>Working with SQL and Python, relational database queries, and modern data platforms such as Databricks and Snowflake</li><li>Preferred experience with application of AI and agentic workflows to business and technology transformation</li><li>Agility to learn with attention to detail, with the ability to operate effectively across data, technology and finance domains.</li><li>Strong communication and presentation skills across technical and non-technical audiences, with the ability to translate complex data and technology concepts into clear business implications.</li><li>Strong people leadership, with the ability to engage data engineers, business analysts and data stewards while staying connected to the day-to-day realities of delivery teams.</li><li>Strong business leadership, with the ability to engage stakeholders across functions and seniority levels, and to collaborate with and influence cross-department business and technology partners in the development and execution of data and technology strategies.</li><li>Bachelor’s degree or equivalent qualification in a Science, Technology, Engineering or Mathematics (STEM) discipline is advantageous.&nbsp;</li></ul>

Responsibilities: <ul><li>Oversee the design process to ensure all projects adhere to the highest quality of designs.</li><li>Review interior design packages submitted by the consultants, make sure they align with company Design Guidelines, protect the design intent, and ensure that purchasers receive what they have purchased to ensure alignment with the design intent.</li><li>Review design submissions for technical and commercial compliance during the design stage, and lead value engineering exercises to achieve target budgets to ensure that all design submissions comply with technical and commercial requirements.</li><li>Operate within the stipulated framework to maintain legal and ethical standards and ensure compliance with required Company’s regulatory framework and corporate governance.</li><li>Lead and manage all aspects of the design process, including designing, procurement, consultant appointment, and project execution to ensure that all technical procedures meet approved corporate operational design objectives.</li><li>Review the preparation of project-specific design briefs that reflect project intent and objectives.</li><li>Manage consultants and ensure that risks are mitigated, and senior management is informed of any changes.</li><li>Provide regular feedback on project status, risks and approved feasibility to ensure that design goals are being met.</li><li>Manage stakeholder relationships at all levels, including liaising with stakeholder partners and key business affiliates.</li><li>Stay updated with industry trends, best practices, and emerging technologies in market dynamics, and competitive landscape relevant to the organization.</li><li>Ensure compliance with policies, procedures, processes and controls of project design activities at all levels.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Interior Design /Architecture; Master’s degree preferred.</li><li>International certification in Interior design / LEED AP (Leadership in Energy and Environmental Design Associate Professional) Certification – preferred</li><li>Excellent knowledge of real estate development processes, and industry standards.</li><li>Working knowledge of interior design, coordination with architectural, structural, mechanical, and electrical disciplines; interior construction; and interiors specifications.</li><li>Min. 8-10+ years’ experience in a real estate / design consultancy managing designs&nbsp;</li><li>Experience managing design teams across various project phases (concept,development, implementation)</li><li>Experience working with project managers, engineers, and other stakeholders to ensure design integration within the project lifecycle</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 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>

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55 architecture Jobs found

Cloud Engineering Manager

Lead, AI & Data Products (Technical)

Senior Executive - Business Transformation (LOT)

Regional Manager of Security Operations

Consulting Engineer - Collaboration

Consulting Engineer - Data Center

VP/SVP, Business Analyst, Technology Group

Senior Manager- Interior Design

Lead, Data & AI Governance

AVP, Principal Software Engineer (Senior Technical lead)

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55 architecture Jobs found

Cloud Engineering Manager

Lead, AI & Data Products (Technical)

Senior Executive - Business Transformation (LOT)

Regional Manager of Security Operations

Consulting Engineer - Collaboration

Consulting Engineer - Data Center

VP/SVP, Business Analyst, Technology Group

Senior Manager- Interior Design

Lead, Data & AI Governance

AVP, Principal Software Engineer (Senior Technical lead)

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

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