Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Technology Obsolescence - Task force - Data Specialist (VP1)

Account Manager

Senior Manager – Technology Transformation

Supplier Development Process Engineer

Product Manager

Business Process Manager & Strategic Program Manager – MFG/SCM

Finance Manager

Senior Executive - Business Transformation (LOT)

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: 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>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>

Role Description: <ul><li>The role holder identifies and defines opportunities, builds the business case for each initiative, and leads delivery through internal technology functions and delivery partners. Initiatives are held to their intended outcomes, adoption and benefits, not go-live alone. This is a hands-on role. </li><li>The role holder personally designs, builds and deploys data, analytics, automation and AI solutions, and coordinates multidisciplinary teams.</li></ul> Responsibilities: <ul><li>Provide analysis and recommendations to help develop DHI’s technology, data and digital transformation agenda, for review by the Executive Director – Portfolio Operations and Intelligence.</li><li>Develop and maintain roadmaps for assigned initiatives, sequencing activity by value, dependency, risk and readiness.</li><li>Lead discovery and solution design with DHI departments, running workshops that define the opportunity, scope and intended outcome of each initiative.</li><li>Identify opportunities to improve revenue, productivity, customer experience, operational performance and decision-making through data, analytics, automation and AI.</li><li>Define value hypotheses, success metrics, adoption targets and value realisation frameworks for each initiative.</li><li>Design, develop, deploy and maintain data and analytical solutions, dashboards, automation solutions and AI-enabled products.</li><li>Build and maintain ETL/ELT processes and data transformation workflows.</li><li>Own the lifecycle of data, analytics, automation and AI products, from concept through deployment and adoption.</li><li>Define product vision, user requirements, roadmaps, backlogs and delivery priorities, based on the end-to-end needs of alternative asset management users, including investment professionals, portfolio managers, senior leadership and governance functions. Translate business challenges into technical requirements, user stories and solution designs.</li><li>Lead end-to-end delivery of assigned transformation initiatives, managing scope, schedule, cost and quality.</li><li>Ensure initiatives meet cybersecurity, data protection, privacy and AI governance requirements.</li></ul> Requirements: <ul><li>6 – 8 years of experience in technology transformation, data product development, applied AI, technology consulting or data-enabled transformation.</li><li>Demonstrated experience personally taking a problem through to a production-grade product.</li><li>Bachelor’s degree in Computer Science, Engineering, Data Science, AI, Mathematics, Statistics, Business or another relevant quantitative discipline.</li><li>Advanced degree, such as an MBA, preferred.</li><li>Technology, data and digital transformation planning and roadmap development</li><li>Data platforms such as Databricks, Azure AI Foundry, Spark, Hive or Palantir Foundry</li></ul>

Responsibilities: Cross function collaboration: <ul><li>Coordinate Procurement, SQE, PDE, MPDE, Engineering Assess and document manufacturing capability, process maturity, and QMS compliance during PCBA new supplier qualification/Development.</li><li>Engage upstream and downstream raw material partners to improve delivery capability, capacity alignment, and supplier responsiveness.</li><li>Organize and lead regular cross-functional reviews with PDE, MPDE, and suppliers to address delivery risks, manufacturing readiness, and improvement actions.</li><li>Track and drive closure of cross-functional and supplier action items, escalating gaps as needed.</li></ul> NPI stage: <ul><li>Provide early manufacturing and engineer support for PCBA commodities from a sourcing and supply chain perspective to support supplier selection decisions (critical).</li><li>Conflict Management: Coordinate and facilitate DFM (Design for Manufacturing) discussions with suppliers, and Engineering to ensure manufacturing requirements are clearly understood and accepted (no design decision ownership).</li><li>Assess and document manufacturing capability, process maturity, and QMS compliance during PCBA new supplier qualification.</li><li>Act as a coordination interface between Procurement and Engineering, ensuring alignment on quality, commercial, and technical expectations without assuming design ownership.</li></ul> Approved Supplier Management: <ul><li>Drive yield, process stability, and delivery performance improvements at supplier sites.</li><li>Collaborate with suppliers and key supply chain nodes to improve lead time and delivery reliability, supporting company sample and production needs.</li><li>Partner with CM and Procurement to support SRM programs for strategic PCBA suppliers, with close tracking of action plan execution.</li><li>Facilitate cross-functional supplier improvement workshops (e.g. CoPQ reduction, lead time optimization) as a neutral coordinator, ensuring clear ownership and accountability.</li><li>Monitor progress and escalate unresolved issues where action items are not closed as committed.</li></ul> Requirements: <ul><li>Bachelor’s degree in Electrical / Automation/ Mechanical or any Engineering related majors.</li><li>At least 7 years of MPDE experience within PCBA (Industry relevant), connector and cable assembly Quality Management portion. Procurement, supply chain experience OR Total years of experience 10+ years in various industries including PCBA.</li><li>Knowledge on specific product and process as required (Connectors, Cable and Cable Assemblies, PCBA Tolerances and Cost Drivers)&nbsp;</li><li>In-depth knowledge of electronic manufacturing processes such as PCBA assembly (SMT/THT), box build, testing, and packaging</li><li>Understanding of supplier capabilities, capacity planning, and EMS operating models</li><li>Familiarity with DFM/DFA (Design for Assembly), component sourcing, and BOM management</li><li>Awareness of quality systems, certifications (ISO 9001,IATF 16949 and IPC- Association Connecting Electronics Industries), and related compliance standards</li><li>Ability to work with EMS partners on cost, yield, lead time, and continuous improvement</li><li>Experience supporting NPI, supplier qualification, and scale-up to mass production</li><li>Expert level with the tools related to supplier APQP process, include but not limited to PPAP, FMEA, CP, MSA, SPC, R@R and 8D methodology is a Plus.</li><li>Thorough knowledge of Problem-Solving tools (5-Why, Ishikawa/Fishbone diagrams, Fault Tree</li><li>Analysis)</li></ul>

Responsibilities : <ul><li>Engage executive and corporate users to understand needs, decision workflows and pain points.</li><li>Translate requirements into clear product definitions, user stories and acceptance criteria.</li><li>Run structured discovery and experimentation to validate value and feasibility before build commitments are made.</li><li>Identify opportunities to extend assigned products from task-level support to broader workflow automation, and contribute these to the product roadmap.&nbsp;</li><li>Own the end-to-end delivery of assigned AI products, including Rocket, from definition through to launch.</li><li>Ensure quality, usability and readiness criteria are met before release to a senior user base.&nbsp;</li><li>Own assigned products after launch, driving iterative improvement based on usage data and user feedback.</li><li>Define, track and report product KPIs covering adoption, usage, accuracy, satisfaction and time saved.</li><li>Register and maintain AI use cases for assigned products within the agreed portfolio management process.&nbsp;</li><li>Act as the day-to-day product interface for executive and corporate stakeholders.&nbsp;</li></ul> Requirements: <ul><li>3 – 6 years of experience in digital or AI product management, product ownership or equivalent delivery roles.&nbsp;</li><li>Bachelor’s degree in a quantitative field such as information technology, business, finance, engineering or mathematics.&nbsp;</li><li>Hands-on experience in product management across discovery, delivery and lifecycle.&nbsp;</li><li>Exposure to AI, automation or data-driven products.&nbsp;</li></ul>

Responsibilities: Program Management: <ul><li>Responsible for overseeing and leading the entire project to ensure the scope and project milestones are met successfully.</li><li>To act as a liaison person between the entire project team (internal and external) and ensure alignment.</li><li>Collaborate with all parties to ensure program meets time, scope, quality and cost targets.</li><li>Report regularly the progress of the program to the stakeholders (Up to group Executive level )</li><li>Manage and lead cross-functional project team members</li><li>Responsible to acquire project resources and form project team (multi-discipline). Develop the team according to project &amp; team needs.</li><li>Manage changes to the project scope, project schedule and project costs using appropriate verification techniques</li><li>Measure project performance using appropriate tools and techniques</li><li>Report and escalate to management as needed</li><li>Manage the relationship with internal and external stakeholders.</li><li>Initiates project scope, requirements and key deliverables by collecting or receiving from management team.</li><li>Responsible to develop Project Management Plan, consistently monitor and control project progress.&nbsp;</li><li>Utilize Project Management Software (such as Microsoft Project) to generate schedules, analyse critical path/ float, and monitor project progress.&nbsp;</li><li>Take a leadership role in coordination of the team member activities. Navigate team to project goal.</li><li>Perform project risk assessment and determine risk respond plan. Regularly monitor identified risks and actively look /aware new potential risk once project progressed&nbsp;&nbsp;</li></ul> Process Analysis and Evaluation: <ul><li>Conduct comprehensive analysis of existing business processes to identify bottlenecks, inefficiencies, and areas for improvement.</li><li>Collaborate with stakeholders to understand business requirements and align process changes with strategic goals.</li><li>Utilize data-driven insights to identify key performance indicators (KPIs) and measure process performance and outcomes.</li></ul> Process Design and Implementation: <ul><li>Develop and design streamlined processes and procedures that enhance productivity, reduce costs, and improve overall operational efficiency.</li><li>Ensure that new processes are clearly documented, communicated to relevant teams, and effectively implemented.</li><li>Work with cross-functional teams to gain buy-in and ensure smooth integration of process changes.</li></ul> Process Monitoring and Optimization: <ul><li>Establish mechanisms for ongoing monitoring and evaluation of implemented processes to identify potential issues or deviations.</li><li>Regularly analyze performance data, gather feedback, and adjust as needed to continuously improve processes.</li><li>Implement best practices and industry standards to further optimize business processes.</li></ul> Requirements: <ul><li>Bachelors degree in Business Administration, Management, Engineering, Supply Chain or a related field. Masters degree is a plus.</li><li>Min 10+ years experince in supply chain</li><li>Proven experience (typically 5+ years) in business process management &amp; driving strategic programs/projects/process improvement with domain knowledge and experience either in Supply Chain (Planning/Purchasing/Warehouse/Logistics) or Manufacturing (Industrial Engineering/Project Management)&nbsp;</li><li>Fluent English and ability to articulate clearly</li><li>Need to have experience in program/project management</li><li>Experience in driving for process improvements in the area of Supply Chain or Manufacturing</li><li>Strong analytical and problem-solving skills with a data-driven approach to decision-making.</li><li>Excellent project management skills with the ability to lead cross-functional teams effectively.</li><li>Strong communication and interpersonal skills to collaborate with diverse stakeholders.</li><li>Knowledge of process improvement methodologies such as Lean, Six Sigma, or BPMN (Business Process Model and Notation).</li><li>Familiarity with process modeling and workflow software tools.</li><li>Ability to adapt to a dynamic and fast-paced work environment</li></ul>

Responsibilities: <ul><li>Develop and oversee the company’s financial planning, budgeting, and forecasting processes.&nbsp;</li><li>Ensure alignment between financial plans and business objectives.&nbsp;</li><li>Drive scenario analysis and financial modeling to support strategic initiatives.&nbsp;</li><li>Conduct financial and operational analysis to assess company performance.</li><li>Provide insights into revenue, cost, profitability, and key financial metrics.&nbsp;</li><li>Prepare detailed reports and dashboards for senior leadership.&nbsp;</li><li>Partner with business leaders to identify growth opportunities and cost-saving measures.&nbsp;</li><li>Develop business cases for new investments, market expansions, and efficiency improvements.&nbsp;</li><li>Analyze risks and opportunities to enhance financial decision-making.&nbsp;</li><li>Implement best practices in financial planning and analysis (FP&amp;A).&nbsp;</li><li>Improve forecasting accuracy through automation and data analytics tools.&nbsp;</li><li>Drive continuous improvement in financial processes.&nbsp;</li><li>Collaborate with finance, operations, and commercial teams to align financial goals.&nbsp;</li><li>Present financial insights to executives, board members, and key stakeholders.&nbsp;</li><li>Work closely with external partners, auditors, and regulatory bodies when required.&nbsp;</li><li>Lead and mentor a team of financial analysts and planners.&nbsp;</li><li>Foster a culture of data-driven decision-making and financial discipline.&nbsp;</li></ul> Requirements: <ul><li>8+ years in financial planning &amp; analysis, budgeting, and strategy.&nbsp;</li><li>Strong knowledge of financial modeling, forecasting techniques, and data analytics.&nbsp;</li><li>Proficiency in ERP systems, financial planning software, and BI tools.&nbsp;</li><li>Need CPA OR CA</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>

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92 decision making Jobs found

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Technology Obsolescence - Task force - Data Specialist (VP1)

Account Manager

Senior Manager – Technology Transformation

Supplier Development Process Engineer

Product Manager

Business Process Manager & Strategic Program Manager – MFG/SCM

Finance Manager

Senior Executive - Business Transformation (LOT)

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Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Technology Obsolescence - Task force - Data Specialist (VP1)

Account Manager

Senior Manager – Technology Transformation

Supplier Development Process Engineer

Product Manager

Business Process Manager & Strategic Program Manager – MFG/SCM

Finance Manager

Senior Executive - Business Transformation (LOT)

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