Senior Executive – Data Analytics

RCSA & Internal Control Analyst

Structural Test Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Cloud Engineering Manager

Safety - Training Manager

Division Manager - VP2

Technology Obsolescence - Task force - Data Specialist (VP1)

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Role Description: <ul><li>The Business Intelligence &amp; Insights Consultant will be responsible for designing, developing, and delivering enterprise-level BI dashboards, reports, and analytical solutions.</li><li>The role will focus on translating business requirements into actionable insights using Power BI and other data analytics tools, supporting business functions such as Finance, Procurement, and Human Capital Management (HCM).</li><li>The ideal candidate should have strong technical expertise in Power BI, DAX, SQL, and data modelling, along with the ability to engage with business stakeholders and support data-driven decision-making.</li></ul> Responsibilities: <ul><li>Design, develop, and maintain interactive Power BI dashboards, reports, scorecards, and paginated reports.</li><li>Gather business requirements and translate them into technical specifications and reporting solutions.</li><li>Develop data models, DAX calculations, Power Query transformations, and SQL queries.</li><li>Implement Row-Level Security (RLS), Object-Level Security (OLS), drill-through, and dynamic filtering.</li><li>Analyze business data to identify trends, patterns, anomalies, and actionable insights.</li><li>Develop KPI dashboards and performance tracking reports for business stakeholders.</li><li>Ensure data accuracy, consistency, report performance, and adherence to BI standards.</li><li>Collaborate with Data Engineering teams to validate data pipelines and source-to-report accuracy.</li><li>Support self-service BI adoption by conducting user training and developing documentation.</li><li>Engage with stakeholders, manage reporting requirements, conduct UAT, and continuously improve BI solutions.</li><li>Required Technical Skills</li><li>Strong hands-on experience with Power BI, including dashboards, reports, DAX, and Power Query (M).</li><li>Good knowledge of SQL and data extraction techniques.</li><li>Experience in data modelling, including Star and Snowflake schemas.</li><li>Knowledge of Power BI Service, deployment, RLS, and OLS.</li><li>Experience with KPI reporting, data visualization, and business analytics.</li><li>Advanced Excel skills.</li><li>Exposure to Microsoft Fabric, Azure Synapse, Python, or Tableau is an advantage.</li><li>Familiarity with Finance, Procurement, or HCM data domains is preferred.</li></ul> Requirements: <ul><li>Bachelors degree in IT, Computer Science, Business, Data Analytics, or a related discipline.</li><li>4–7 years of relevant experience in BI development, Power BI reporting, data visualization, or analytics.</li><li>Power BI Data Analyst (PL-300) certification required or to be obtained within 12 months.</li><li>Microsoft Fabric Analytics Engineer (DP-600) certification is preferred.</li></ul> Key Competencies <ul><li>Strong analytical and problem-solving skills.</li><li>Excellent stakeholder management and communication skills.</li><li>Strong attention to detail and data accuracy.</li><li>Ability to translate business requirements into technical solutions.</li><li>Good presentation and data storytelling skills.</li><li>Ability to manage multiple reporting requirements and deadlines.</li><li>Continuous learning and improvement mindset</li></ul>

Role Description: <ul><li>We are looking for an RCSA &amp; Internal Control Analyst to support the rollout and ongoing maintenance of the EMEA Risk and Control Self-Assessment (RCSA) framework and related internal control activities.</li><li>Working alongside the EMEA Risk &amp; Control Manager, the successful candidate will provide day-to-day operational support, including coordination, follow-up, documentation and data consolidation.</li><li>The role will help accelerate the rollout, improve consistency across countries and establish a sustainable long-term operating model, while allowing the EMEA Risk &amp; Control Manager to focus on governance, stakeholder management and overall framework oversight.</li><li>The successful candidate will support the rollout, documentation, testing and maintenance of country-level RCSAs and related internal control activities across EMEA. They will help ensure that risk and control information is accurately collected, structured, tracked and kept up to date in coordination with local stakeholders.</li></ul> Responsibilities: <ul><li>Support the implementation and ongoing development of the EMEA Risk and Control Self-Assessment (RCSA) framework, working with country teams to identify, assess and manage risks in line with the Groups risk management methodology.</li><li>Work collaboratively with stakeholders across a range of business functions, including Operations, Finance, Legal and Health, Safety, Security and Environment (HSSE), to understand local processes, identify potential risks and establish appropriate controls.</li><li>Support the identification and assessment of country-specific risks, documenting existing controls, potential gaps and compensating controls to help ensure risks are appropriately managed.</li><li>Develop and maintain local risk and control registers, ensuring information is accurate, up to date and aligned with regional requirements.</li><li>Work with local stakeholders to harmonise risk management approaches and control frameworks across EMEA, promoting consistency while taking account of country-specific requirements and differences in local maturity.</li><li>Support the implementation of the RCSA framework across EMEA countries, coordinating activities, gathering and consolidating information, monitoring progress and following up with stakeholders to ensure timely completion.</li><li>Support second-line (Line 2) control testing activities, including coordinating evidence collection, reviewing supporting documentation and following up on outstanding information or identified control gaps.</li><li>Contribute to compliance activities, including the ongoing monitoring and documentation of anti-corruption and accounting controls in support of Sapin II requirements.</li><li>Track action plans, remediation activities and outstanding issues, working with local stakeholders to monitor progress, address delays and ensure agreed actions are completed.</li><li>Build effective working relationships across countries and functions, encouraging collaboration, knowledge-sharing and consistent approaches to risk management in an international, matrixed organisation.</li><li>Identify opportunities to improve risk and control processes, documentation and procedures, contributing to the continuous development of a consistent and sustainable EMEA control framework.</li></ul> Requirements: Educational Qualifications <ul><li>A degree or equivalent professional experience in Risk Management, Business, Finance, Compliance or a related discipline would be advantageous.</li><li>Ongoing commitment to training and professional development in risk, compliance and audit processes.</li></ul> Relevant Skills and Experience <ul><li>2–5 years experience in risk management, internal controls, compliance or a related field.</li><li>Experience working with risk and compliance frameworks, including risk identification, assessment and control implementation.</li><li>Experience working in an international business or matrix organisation, engaging stakeholders across multiple countries and functions.</li><li>Good understanding of operational processes and internal controls across different business functions.</li><li>Strong organisational, analytical and communication skills, with the ability to manage multiple priorities and build effective working relationships.</li><li>Confident managing documentation, risk registers, trackers and supporting evidence, with strong attention to detail.</li><li>Able to work autonomously, take ownership of tasks and manage competing deadlines.</li></ul> Personal Characteristics &amp; Behaviours <ul><li>Resilient and adaptable: Comfortable navigating challenges, working through ambiguity and maintaining momentum when faced with competing priorities or differing levels of risk maturity across countries.</li><li>Curious and analytical: Naturally inquisitive, with the confidence to ask questions, challenge assumptions and develop an understanding of risks across different business functions.</li><li>A relationship builder: Able to establish trust, communicate effectively and work collaboratively with stakeholders at different levels and across different countries.</li><li>Structured in approach: Able to bring order to complex or ambiguous situations, organise information clearly and establish consistent ways of working.</li><li>Reliable and accountable: Takes ownership of responsibilities and works closely with the EMEA Risk &amp; Control Manager to support decision-making.</li><li>Collaborative and open-minded: Comfortable working across functions, receptive to different perspectives and motivated to improve how teams work together.</li></ul> Travel Requirements <ul><li>10–20% travel within the country, region and internationally may be required on an ad hoc or regular basis.</li></ul>

Responsibilities: <ul><li>Strategic Governance: Act as the technical lead for manufacturing test processes, coordinating technical quality metrics, systemic defect resolution, and sustaining product integrity across multiple global sites.</li><li>Design Influence: Represent structural test in high-level design reviews, setting DfT standards and negotiating probe access and coverage requirements to reduce risk in NPI and production.</li><li>Operational Leadership: Direct the development and deployment of complex ICT and Flying Probe programs. Oversee the qualification and release of test fixtures and assets, ensuring zero-defect compliance.</li><li>Technical Authority: Perform senior-level code reviews and lead global change control processes (ECOs/deviations) for test program source code and manufacturing recipes.</li><li>System Optimization: Lead the integration of advanced On-Board Programming (OBP) strategies and boundary scan (JTAG) flows into the manufacturing line to improve efficiency and test depth.</li><li>Mentorship &amp; Influence: Define and promote debug methodologies for manufacturing site test engineers; act as the lead interface between and external fixture/hardware vendors.</li><li>Process Scalability: Champion the adoption of automated workflows, version control standards, and statistical process control (SPC) to drive continuous improvement across the global manufacturing footprint.</li></ul> Requirements: <ul><li>Bachelors degree or equivalent experience in Electrical Engineering, Manufacturing Engineering, or a related technical field.</li><li>8+ years of professional experience in structural test development, debug, and release on industry-standard ICT platforms (e.g., Keysight i3070/Series 6 or TRI).</li><li>5+ years of experience with Flying Probe system development (e.g., SPEA FP4080 or equivalent).</li><li>Demonstrated experience leading end-to-end manufacturing test requirements, including program development, fixture procurement, and factory floor correlation.</li><li>Proven experience leading technical projects or providing technical guidance to multi-functional teams or external manufacturing partners.</li></ul>

Responsibilities: Deploy and Land: <ul><li>Own end-to-end delivery of AI and analytics products at stations in your region.</li><li>Cover discovery, scoping, development, integration, user acceptance testing (UAT), hypercare and rollout.</li><li>Embed with operations.</li><li>Participate in business stand-ups.</li><li>Visit the ramp and cargo floor.</li><li>Understand local data realities rather than making assumptions.</li><li>Ship production code in Python and comparable stacks against live flight, cargo, workforce and equipment data.</li><li>Avoid handing over prototypes for someone else to productionise.</li><li>Scale deployment by reducing the cost and time required to deploy solutions across additional stations.</li><li>Achieve this through reusable integrations, configuration and runbooks.</li></ul> Build on the Platform, Not Around It: <ul><li>Consume data through the semantic layer and governed data platform.</li><li>Avoid parallel pipelines, local definitions and workarounds.</li><li>Apply Centre of Excellence (CoE) patterns and guardrails.</li><li>Follow reference architectures, AI registry, human-in-the-loop controls, access and residency rules.</li><li>Integrate GenAI and ML into workflows.</li><li>Implement RAG and retrieval patterns.</li><li>Implement agentic and tool-use patterns.</li><li>Apply evaluation frameworks.</li><li>Establish observability.</li><li>Maintain production cost control.</li></ul> Make Insight Self-Service: <ul><li>Build data products, not report queues.</li><li>Design governed, reusable datasets and semantic models.</li><li>Enable operations teams, airlines and forwarders to answer their own questions.</li><li>Put insight in front of the customer.</li><li>Deliver station and customer-facing analytics.</li><li>Enable natural-language access to operational data.</li><li>Ensure appropriate access, residency and confidentiality controls.</li><li>Design for the user, not the requester.</li><li>Ensure every product identifies the decision it changes and the person responsible for making it.</li><li>Instrument usage.</li><li>Retire products that are not used.</li><li>Consolidate fragmented reporting rather than extending it.</li></ul> Close the Loop: <ul><li>Feed field learnings back.</li><li>Convert integration problems into hardened patterns for the CoE and requirements for the platform team.</li><li>Own adoption and benefits.</li><li>Instrument deployments.</li><li>Track usage and benefits against the business case.</li><li>Report results accurately.</li><li>Be the technical face to the business and customers.</li><li>Translate between operations, the CoE and platform engineering.</li><li>Success in the First 12 Months</li></ul> Requirements: Experience: <ul><li>6+ years of experience in software or ML engineering.</li><li>Experience must include customer-facing or business-embedded delivery.</li><li>Demonstrated track record of scoping and delivering complex systems end to end in ambiguous, fast-moving environments.</li><li>Ability to remain accountable after go-live.</li><li>Production experience with LLM or ML systems.</li><li>Experience with prompt and agent design.</li><li>Experience with RAG.</li><li>Experience with evaluation frameworks.</li><li>Experience with deployment at scale.</li><li>Understanding of how model behaviour influences product experience.</li><li>Strong Python and API development skills.</li><li>Experience with FastAPI or equivalent.</li><li>Comfortable working across backend and frontend development.</li><li>Ability to build a working system independently.</li><li>Practical experience with Docker.</li><li>Practical experience with Kubernetes.</li><li>Practical experience with CI/CD.</li><li>Practical experience with cloud data platforms.</li><li>Experience integrating batch and real-time data against complex enterprise data sources.</li><li>Strong understanding of analytics.</li><li>Experience with semantic and dimensional modelling.</li><li>Knowledge of modern BI.</li><li>Experience designing data products that non-technical and external users can operate independently.</li><li>Aviation, logistics or complex operations experience is advantageous but not mandatory.</li><li>Willingness to learn operations directly from the operational floor is essential.</li></ul> Qualifications: <ul><li>Bachelors, MSc or PhD in Computer Science, Engineering, Mathematics or a related field.</li></ul>

Responsibilities: <ul><li>Own end-to-end delivery of AI and analytics products at stations in your region: discovery, scoping, build, integration, UAT, hypercare and rollout.</li><li>Embed with the operation. Sit in business stand-ups, walk the ramp and the cargo floor, and specify the local data reality rather than assuming it.</li><li>Ship production code in Python and comparable stacks against live flight, cargo, workforce and equipment data, not prototypes handed to someone else to productionise.</li><li>Scale deployment. Reduce cost and time-to-deploy from station N to station N+1 through reusable integrations, configuration and runbooks.</li><li>Consume through the semantic layer and the governed data platform. No parallel pipelines, no local definitions, no workarounds.</li><li>Apply CoE patterns and guardrails: reference architectures, AI registry, human-in-the-loop controls, access and residency rules.</li><li>Integrate GenAI and ML into workflows: RAG and retrieval, agentic and tool-use patterns, evaluation frameworks, observability and cost control in production.</li><li>Build data products, not report queues. Design- governed, reusable datasets and semantic models that let operations, airlines and forwarders answer their own questions.</li><li>Put insight in front of the customer. Deliver station and customer-facing analytics, including natural-language access to operational data, with the access, residency and confidentiality controls customer data demands.</li><li>Design for the user, not the requester. Every product names the decision it changes and who makes it. Instrument usage, retire what nobody opens, consolidate the long tail rather than extend it.&nbsp;</li><li>Feed the field back. Every integration problem you solve becomes a hardened pattern for the CoE and a requirement for the platform team.</li><li>Own adoption and benefits. Instrument what you deploy, track usage and benefit against the business case, and report it honestly.</li><li>Be the technical face to the business and to customers, translating between operations, the CoE and platform engineering.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>6+ years in software or ML engineering, including customer-facing or business-embedded delivery.</li><li>Track record of scoping and shipping complex systems end to end in ambiguous, fast-moving environments, and staying accountable after go-live.</li><li>Production experience with LLM or ML systems: prompt and agent design, RAG, evaluation frameworks, deployment at scale, and an understanding of how model behaviour shapes product experience.</li><li>Strong Python and API development (FastAPI or equivalent); comfortable across backend and front-end enough to build a working system alone.</li><li>Practical depth in Docker, Kubernetes, CI/CD, and cloud data platforms; batch and real-time integration against messy enterprise sources.</li><li>Fluency in the analytics half of the job: semantic and dimensional modelling, modern BI, and designing data products that non-technical and external users can operate without help.</li><li>Aviation, logistics or complex operations exposure is an advantage, not a prerequisite. Willingness to learn the operation from the floor is not optional.</li><li>Bachelors, MSc or PhD in Computer Science, Engineering, Mathematics or related field.&nbsp;</li></ul>

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 Manager of Safety and Training leads comprehensive safety, security, and training programs across warehouse and ramp operations.</li><li>Your primary responsibility is ensuring all operations meet or exceed corporate policies, air carrier requirements, customer expectations, and regulatory mandates while maintaining optimal efficiency and security standards.</li></ul> Responsibilities: <ul><li>Champion a culture of safety excellence through innovative training and engagement initiatives.</li><li>Ensure safety protocols are consistently followed across warehouse and ramp operations, aligning with corporate, airline, customer, and regulatory requirements (FAA, TSA, OSHA).</li><li>Lead investigations for safety incidents to identify root causes and implement corrective measures to prevent future occurrences.</li><li>Provide guidance and training to station managers and supervisors on best practices in safety, behavior-based safety, and incident prevention.</li><li>Oversight of the training schedule to ensure new hire training aligns with operational requirements and recurrent training is completed on time.</li><li>Manage training resources to allocate and optimize training facilities and instructional personnel.</li><li>Key contact for all on-duty injury follow-ups, maintain clear communication and support affected employees.</li><li>Monitor injured employees’ recovery progress and coordinate necessary medical updates.</li><li>Manage workplace accommodation, return to work, and injury follow-up processes dedicated to employee well-being.</li><li>Conduct routine physical security audits and investigate policy breaches, security incidents, and loss events. Lead confidential investigations and deliver timely reports on theft, fraud, workplace violence, and critical incidents</li><li>Hold structured monthly safety meetings to maintain a strong safety culture, meet regulatory requirements, and identify hazards before they cause incidents.</li><li>Drive strategic projects aimed at injury prevention and risk reduction across the organization.</li><li>Infuence behavior and foster a safety first mindset at all levels of the division.</li></ul> Requirements <ul><li>Bachelor’s Degree or equivalent work experience</li><li>Supports 24/7 operations, may need to respond to safety and security events outside of regular business hours.</li><li>5 years of experience in operations in aviation and warehouse</li><li>5 years of ramp safety experience</li><li>5 years of experience in law enforcement, loss prevention, or other related field</li><li>3 years of experience in disability management, worker’s compensation, or related field</li><li>Knowledge of OSHA regulations, ADA, and best practices in injury management and ergonomics</li><li>Demonstrated ability to manage sensitive information</li><li>Strategic thinker with a proactive, hands-on approach</li><li>Data-driven mindset with experience using safety management systems (SMS).</li><li>Crisis management and emergency response planning expertise.</li></ul> Preferred Skills <ul><li>Safety Leadership &amp; Compliance Expertise.</li><li>Incident Investigation &amp; Root Cause Analysis.</li><li>Training Program Management &amp; Facilitation.</li><li>Employee Injury Management &amp; Return-to-Work Coordination.</li><li>Influence, Communication &amp; Safety Culture Development.</li></ul>

Responsibilities: Service Operations Management: <ul><li>Lead and manage the First Recovery (L1 Application Support) team comprising approximately 19 analysts.</li><li>Ensure seamless delivery of 16x6 operational support (Monday through Saturday) and weekend coverage during Mainframe and AS400 IPL activities.</li><li>Drive effective handling of incidents, service requests, alerts, and operational tasks.</li><li>Ensure incidents are prioritized, triaged, and assigned appropriately to meet SLA commitments.</li><li>Act as the primary escalation point for critical incidents and major service disruptions.</li></ul> Incident &amp; Request Management: <ul><li>Drive achievement of the teams key KPI of maintaining a minimum 60% First Recovery Resolution Rate for all incidents received by the L1 support team.</li><li>Monitor incident trends and recurring issues, initiating preventive and corrective actions.</li><li>Ensure timely escalation of unresolved incidents to L2/L3 support teams.</li><li>Conduct incident reviews and implement lessons learned to improve service quality.</li></ul> Application &amp; Infrastructure Health Monitoring: <ul><li>Oversee proactive application and infrastructure health checks.</li><li>Ensure monitoring activities are performed consistently and operational issues are detected early.</li><li>Work with infrastructure, middleware, database, and application teams to improve system stability and availability.</li><li>Drive automation and operational improvements where appropriate.</li></ul> Knowledge Management: <ul><li>Establish and maintain a comprehensive Knowledge Base (KB) repository.</li><li>Ensure all recurring incidents, service requests, troubleshooting procedures, and operational runbooks are documented.</li><li>Promote knowledge sharing and continuous learning within the team.</li><li>Drive reduction of repeat incidents through effective documentation and process improvements.</li></ul> People Leadership: <ul><li>Manage, coach, and develop a team of 15–20 direct reports.</li><li>Perform resource planning, scheduling, workload distribution, and succession planning.</li><li>Conduct performance management, mentoring, and career development activities.</li><li>Foster a culture of accountability, customer focus, collaboration, and continuous improvement.</li><li>Ensure adequate staffing and capabilities are maintained to support business requirements.</li></ul> Stakeholder Management: <ul><li>Engage with application owners, infrastructure teams, business users, and senior management on operational matters.</li><li>Provide regular reporting on KPIs, incident trends, service improvements, and team performance.</li><li>Participate in governance meetings and operational reviews.</li></ul> Continuous Improvement: <ul><li>Identify opportunities to improve operational processes, tooling, and monitoring capabilities.</li><li>Drive reduction in incident volumes through root cause analysis and preventive actions.</li><li>Support operational transformation initiatives and service maturity improvements.</li></ul> Requirements: <ul><li>Bachelors Degree in Information Technology, Computer Science, Engineering, or a related discipline.</li><li>Minimum 8–12 years of IT experience with at least 3–5 years in a people management role.</li><li>Proven experience managing 15–20 direct reports in an Application Support environment.</li><li>Strong background in L1 and/or L2 Application Support.</li><li>Experience managing shift-based operational teams.</li><li>Demonstrated experience in Incident Management, Service Request Management, and Operational Support.</li></ul>

﻿Responsibilities: Data Collection &amp; Integration: Collect and consolidate data from multiple sources, including: <ul><li>CMDB platforms (e.g., Remedy)</li><li>IT Asset Management (ITAM) systems</li><li>Vendor lifecycle and support data</li><li>Security, vulnerability, and patching sources</li><li>Ensure data consistency and alignment across asset, configuration, and lifecycle repositories</li><li>Validate data accuracy, completeness, and currency</li></ul> Technology Obsolescence Analysis: <ul><li>Identify EOL, EOS, and obsolete technologies across hardware, software, OS, databases, middleware, and cloud services</li><li>Analyze lifecycle risks by technology type, vendor, business unit, and criticality</li><li>Support prioritization of remediation based on risk, business impact, and exposure</li></ul> Reporting &amp; Dashboarding: <ul><li>Design, develop, and maintain interactive dashboards and reports using:</li><li>Power BI / Tableau</li></ul> Create Standard Views Covering: <ul><li>Obsolescence risk heatmaps</li><li>Aging and lifecycle timelines</li><li>Remediation progress and trends</li><li>Compliance and audit‑ready metrics</li><li>Enable self‑service analytics for stakeholders where appropriate</li></ul> CMDB &amp; Asset Management Support: <ul><li>Support the alignment of CMDB data with actual deployed assets</li><li>Identify gaps, redundancies, or inaccuracies in configuration and asset records</li><li>Drive improvements in asset lifecycle tagging, ownership, and criticality classification</li><li>Collaborate with ITSM, ITAM, and platform teams to improve data quality and governance</li></ul> Stakeholder &amp; Decision Support: <ul><li>Provide insights and analysis to:</li><li>Domain leads and task force leads</li><li>Project managers and delivery teams</li><li>Risk, security, and audit stakeholders</li><li>Translate complex data into clear, actionable insights for non‑technical audiences</li><li>Support business case development and roadmap planning with data evidence</li></ul> Data Governance &amp; Continuous Improvement: <ul><li>Define and document data definitions, metrics, and reporting standards</li><li>Automate data refreshes and reporting pipelines where possible</li><li>Identify opportunities to improve lifecycle visibility and predictive risk analysis</li></ul> Requirements: <ul><li>5–8+ years of experience in a data analyst or reporting role within IT or technology functions</li><li>Experience supporting modernization, risk, lifecycle, or transformation initiatives is a strong advantage</li><li>Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or related field</li><li>Power BI or Tableau certification</li><li>ITIL or IT Asset Management certification is a plus</li><li>Data &amp; Analytics Skills</li><li>Strong experience in data analysis and visualization</li><li>Hands on expertise in:</li><li>Power BI (DAX, data modeling, performance optimization)</li><li>Tableau (dashboards, calculated fields, storytelling)</li><li>Strong SQL skills for querying large datasets</li><li>Experience working with structured and semi structured data</li></ul>

Responsibilities: <ul><li>Gather and analyze user requirements for dashboard, monitoring, and reporting enhancements.</li><li>Design, develop, and maintain operational dashboards and monitoring solutions based on business and technical requirements.</li><li>Create, modify, and optimize queries to extract, analyze, and present data for business and operational reporting.</li><li>Develop reports and analytics that provide actionable insights into system performance, availability, and operational health.</li><li>Support and administer enterprise monitoring tools such as Splunk and Geneos.</li><li>Troubleshoot monitoring alerts, dashboard discrepancies, and reporting-related issues.</li><li>Participate in system implementation, enhancement, testing, and deployment activities.</li><li>Ensure compliance with organizational standards, governance, and audit requirements.</li><li>Prepare and maintain technical documentation, user guides, and operational procedures.</li><li>To identify area of monitoring coverage to be improved; and work with relevant teams to enable monitoring solution to improve monitoring coverage.</li><li>To identify area of triage efficiency to be improved; and work with relevant teams to implement solution to improve triage efficiency.</li><li>To identify area of automation of service recovery ability to be improved; and work with relevant teams to implement solution to automate service recovery ability.</li><li>To work with various stakeholders (i.e., service automation, level 2 (group) and level 3 production support etc) to implement application monitoring, service end-to-end dashboard, and automation of service recovery.</li></ul> Requirements: <ul><li>Strong hunter mentality with a passion for creating new business opportunities and opening new partner relationships.</li><li>Experience in business development, channel sales, partner sales, technology sales, or customer acquisition roles.</li><li>Comfort with outbound prospecting, cold outreach, networking, pipeline generation, and opportunity development.</li><li>Understanding of cloud technologies, managed services, software licensing, cybersecurity, or broader IT solutions.</li><li>Strong commercial acumen with the ability to influence stakeholders and build strategic business relationships.</li><li>Self-motivated, resilient, and driven by achieving growth targets, partner acquisition goals, and business outcomes.</li></ul>

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228 operational improvement Jobs found

Senior Executive – Data Analytics

RCSA & Internal Control Analyst

Structural Test Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Cloud Engineering Manager

Safety - Training Manager

Division Manager - VP2

Technology Obsolescence - Task force - Data Specialist (VP1)

Specialist, Application Monitoring & Dashboard Analytics (VP2)

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Senior Executive – Data Analytics

RCSA & Internal Control Analyst

Structural Test Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Cloud Engineering Manager

Safety - Training Manager

Division Manager - VP2

Technology Obsolescence - Task force - Data Specialist (VP1)

Specialist, Application Monitoring & Dashboard Analytics (VP2)

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