Senior Executive – Data Analytics

Software Engineer

Structural Test Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior Manufacturing Process Development Automation Engineer - Electrical & Electronics

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Lead, AI & Data Products (Technical)

Account Manager

Senior Team Lead

Customer Engineer

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>

Responsibilities: As a member of our Software &amp; Platform Engineering team, you will:&nbsp; <ul><li>Develop traditional and serverless applications and services in an agile and collaborative environment using source control that integrate with data storage services/message buses and other architectural elements&nbsp;</li><li>Deploy these applications using features such as containers to the cloud, leveraging CI/CD to support this process, backed with good observability when running these in production&nbsp;</li><li>Ensure quality through the creation of documentation and use of unit/integration/contract testing with a consideration of security/performance requirements.&nbsp;</li></ul> Requirements: As a Software Engineer, you will:&nbsp; <ul><li>Design, develop, and implement cutting-edge digital applications to address unique business challenges across various industries.&nbsp;</li><li>Collaborate with cross-functional teams to create innovative and effective solutions.&nbsp;</li><li>Develop both traditional and serverless applications in an agile and collaborative environment, integrating with data storage services, message buses, and other architectural elements.&nbsp;</li><li>Use modern deployment methods, such as containers and cloud services, supported by CI/CD pipelines and strong production observability.&nbsp;</li><li>Ensure high-quality outcomes through robust documentation and comprehensive testing (unit, integration, and contract testing), considering security, accessibility, and performance requirements.&nbsp;</li></ul> We are looking for experience in the following skills:&nbsp; <ul><li>Industry experience in one of following: Java / Typescript / C# / Python / Go.&nbsp;</li><li>Experience with Cloud Native technologies on AWS.&nbsp;</li><li>Experience in building automation tools to support CI/CD pipelines. Set yourself apart:&nbsp;</li><li>A creative and analytical approach to problem-solving.&nbsp;</li><li>Strong debugging and troubleshooting skills to resolve complex technical issues.&nbsp;</li><li>Excellent communication and collaboration skills to work effectively in diverse teams.&nbsp;</li><li>Proven experience shaping and delivering work across small to medium-sized projects&nbsp;</li><li>Experience in Financial Services.&nbsp;</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>Lead Automation Development for Cable Assembly Manufacturing - develop, implement, and validate cable assembly automation lines in accordance with LEANPD principles, driving productivity, quality, and manufacturing efficiency.</li><li>Drive Innovation in Automation Technologies - continuously improve existing automation methods and introduce new technologies, including robotics, machine vision, sensors, motion control, and advanced process controls to enhance capability and tolerance management.</li><li>Support Product Development and DFM - partner with Product Development teams to optimize product designs for automated manufacturing, develop proof-of-concept tooling, prototypes, and ensure successful new product introduction (NPI).</li><li>Design and Qualify Manufacturing Tooling &amp; Processes - design, develop, and validate tooling, fixtures, and automated processes that meet quality, reliability, and production requirements while driving process capability improvements.</li><li>Leverage Strong Electrical &amp; Electronics Engineering Expertise - apply deep knowledge of electrical and electronic systems, automation controls, PLCs, sensors, machine vision, and robotics to solve manufacturing challenges, integrate automation solutions, and assess supplier technical capabilities and compliance.</li></ul> Requirements:&nbsp;<ul><li>Bachelors Degree or higher in Electrical Engineering, Electronics Engineering, Mechatronics Engineering, Automation Engineering, or a closely related discipline.</li><li>Strong preference for candidates with Electrical &amp; Electronics (E&amp;E) engineering education and hands-on automation controls experience.&nbsp;</li><li>Minimum 7 years of experience in automation engineering, manufacturing engineering, process development, or related fields.</li><li>Strong knowledge of Industrial automation systems; PLCs, motion control systems, and industrial networks; sensors, actuators, and electrical control systems; robotics and automated assembly equipment; servo systems and electrical drive technologies</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>

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>Manage key accounts and develop strong relationships with customer stakeholders.</li><li>Identify and pursue business development opportunities to grow revenue in the Aerospace, Defense, and Marine sectors.</li><li>Manage direct global accounts and OEM business.</li><li>Provide technical solutions to government, PSU, and defense-sector customers.</li><li>Manage customer communication and maintain regular contact with key decision-makers.</li><li>Prepare and manage quotations, proposals, offers, and project contracts.</li><li>Lead commercial discussions, pricing, and contract negotiations.</li><li>Collaborate with channel and distribution partners to support business growth.</li><li>Identify customer needs and develop solution-oriented proposals.</li><li>Generate new business opportunities and close direct sales deals.</li></ul> Requirements: <ul><li>B.Tech in Mechanical, Electrical, or Electronics Engineering.</li><li>At least 5 years of relevant experience in a customer-facing role.</li><li>Experience in key account management and business development.</li><li>Proven experience handling direct OEM business.</li><li>Demonstrated success closing direct business deals.</li><li>Experience preparing offers, quotations, proposals, and presentations.</li><li>Proficiency in Microsoft Excel and presentation tools.</li><li>Required Skills and Competencies</li><li>Strong customer relationship management skills.</li><li>Excellent communication and interpersonal skills.</li><li>Strong influencing, selling, and negotiation abilities.</li><li>Solution-oriented approach and basic problem-solving skills.</li><li>Creative approach to identifying business opportunities.</li><li>Resilience and adaptability in a changing business environment.</li><li>Ability to work effectively with customers, internal teams, and channel partners.</li></ul>

Responsibilities: <ul><li>Lead &amp; participate in the design, development, and maintenance of FMF-related applications.&nbsp;&nbsp;</li><li>Conduct impact analysis and internal data mapping during the design phase.&nbsp;&nbsp;</li><li>Collaborate with business analysts and stakeholders to finalize technical requirements.&nbsp;&nbsp;</li><li>Perform defect analysis and resolution.&nbsp;&nbsp;</li><li>Write and maintain Unix/Linux shell scripts to support automation and integration.&nbsp;&nbsp;</li><li>Execute SQL queries and updates to support application logic and reporting.&nbsp;&nbsp;</li><li>Manage and mentor junior developers, ensuring quality and timely delivery.&nbsp;&nbsp;</li><li>Coordinate with testing, infrastructure, and compliance teams to ensure smooth deployment and support.&nbsp;&nbsp;</li><li>Provide regular updates to project managers and escalate risks/issues with proposed resolutions.&nbsp;&nbsp;</li><li>Lead technical implementation of vendor products (e.g., Firco™ Continuity).&nbsp;&nbsp;</li><li>Perform gap analysis between internal requirements and vendor product capabilities.&nbsp;&nbsp;</li><li>Liaise with vendors to address product limitations, customization needs, and integration challenges.&nbsp;&nbsp;</li><li>Ensure compliance with internal standards and regulatory requirements during implementation.&nbsp;&nbsp;</li><li>Document technical specifications, deployment procedures, and support guides.&nbsp;</li></ul> Requirements&nbsp;&nbsp; <ul><li>Experienced in software development roles, with at least 2 years in a senior or lead capacity.&nbsp;&nbsp;</li><li>Proven eperience in banking or financial services, especially in compliance or payments.&nbsp;&nbsp;</li><li>Strong understanding of SDLC processes and experience in technical design and impact analysis.&nbsp;&nbsp;</li><li>Experience implementing and managing vendor products in enterprise environments.&nbsp;&nbsp;</li><li>Proficient in Unix/Linux shell scripting and SQL.&nbsp;&nbsp;</li><li>Hands-on experience with Java for defect resolution and enhancements.&nbsp;&nbsp;</li><li>Familiarity with payment technologies (SWIFT messaging, transaction flows) and AML systems&nbsp;&nbsp;</li><li>Experience with DevOps practices and CI/CD tools (Jenkins, Artifactory, SonarQube) will be an added&nbsp;</li><li>advantage&nbsp;&nbsp;</li><li>Degree in Computer Science, Engineering, or a related field.&nbsp;&nbsp;</li><li>Additional certifications in payment or compliance technology are advantageous&nbsp;&nbsp;</li></ul>

Responsibilities: <ul><li>Install, maintain, and upgrade customer equipment&nbsp;</li><li>Apply basic diagnostic techniques to assess equipment and address technical issues, with assistance from Senior Field Service Engineers [Customer Engineers]&nbsp;</li><li>Collaborate with Senior Field Service Engineers [Customer Engineers] and/or the customer to understand roadmaps, process flows, inflection points, requirements, and&nbsp;</li><li>business challenges&nbsp;&nbsp;</li><li>Train and mentor junior Field Service Engineers [Customer Engineers]&nbsp;</li><li>Perform preventative and corrective maintenance on electrical, vacuum, mechanical, plasma, hydraulic, and gas systems&nbsp;</li><li>Coordinate and communicate directly with customers&nbsp;</li><li>Fulfill additional duties, as assigned.&nbsp;</li></ul> Requirements: <ul><li>Completion of a Diploma and/or Bachelor’s degree, military technical training, field service experience, or trade certification&nbsp;</li><li>4-7 years of work experience in semiconductor industry or other equipment support industry&nbsp;</li><li>Advanced mechanical aptitude with pneumatics, hydraulics, electronics, vacuum, and/or thermodynamics&nbsp;</li><li>Strong knowledge of hand tools and their appropriate usage, including digital multimeters&nbsp;</li><li>Effective written and verbal communication skills&nbsp;</li><li>Basic knowledge of Microsoft Excel, Word, and PowerPoint&nbsp;&nbsp;</li><li>Possession of a valid driver’s license and the ability to obtain a passport, if travel is required.&nbsp;</li></ul>

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211 programming tools Jobs found

Senior Executive – Data Analytics

Software Engineer

Structural Test Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior Manufacturing Process Development Automation Engineer - Electrical & Electronics

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Lead, AI & Data Products (Technical)

Account Manager

Senior Team Lead

Customer Engineer

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211 programming tools Jobs found

Senior Executive – Data Analytics

Software Engineer

Structural Test Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior Manufacturing Process Development Automation Engineer - Electrical & Electronics

Specialist, Application Monitoring & Dashboard Analytics (VP2)

Lead, AI & Data Products (Technical)

Account Manager

Senior Team Lead

Customer Engineer

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