Manager - Hire to Retire

Manager - Training

Principal/Staff Engineer – Firmware Development

Principal NAND Reliability Product Engineer

Front End Central Product Integration (FE CPIE) MTS (FE)

VP, Enterprise Cybersecurity Engineering

Manager - Marketing - Retail

Manager I - R&D Product Development Engineering

AI Transformation Engineer

AI Analytics and Visualization Engineer

Role Description:&nbsp; <ul><li>The Manager, Hire to Retire Process Transformation is responsible for leading the day-to-day delivery of transformation projects and workstreams across the Hire-to-Retire lifecycle within Human Capital Services.&nbsp;</li><li>Reporting to the Associate Director, the role translates the transformation agenda into executable plans, standardized processes, and digital-enabled solutions, working hands-on across process design, system configuration, data, and change.</li><li>It combines strong project delivery discipline with practical HC process and technology expertise to move Group Services towards a best-in-class shared services operating model.&nbsp;</li><li>The role is a key delivery partner to the Associate Director and to vertical HR teams, ensuring initiatives are delivered on time, on budget, and to the intended quality, while coordinating junior team members and third-party resources.&nbsp;</li></ul> Responsibilities:&nbsp; 1. Transformation Project &amp; Workstream Delivery&nbsp; <ul><li>Lead the planning, delivery, and reporting of assigned transformation projects and workstreams across the entire Hire-to-Retire lifecycle; managing scope, timelines, budgets, risks, and issues.&nbsp;</li><li>Develop and maintain project plans, delivery artefacts, and status reporting for the Associate Director and governance forums.&nbsp;</li><li>Coordinate project stakeholders, cross-functional contributors, and vendor resources to deliver against agreed milestones.&nbsp;</li></ul> 2. Process Standardization &amp; Improvement&nbsp; <ul><li>Analyze current-state Hire-to-Retire processes across verticals and design standardized, simplified, and automated future-state processes.&nbsp;</li><li>Document process maps, standard operating procedures, and service definitions, embedding controls-by-design and data quality requirements.&nbsp;</li><li>Identify and quantify efficiency, experience, and control improvement opportunities to build the case for change.&nbsp;</li></ul> 3. Digital &amp; Technology Enablement&nbsp; <ul><li>Support the configuration, testing, and deployment of HR platforms (HCM, ATS, LMS, ServiceNow, workforce analytics) in partnership with Group IT and vendors.&nbsp;</li><li>Gather and document business requirements, translate them into functional specifications, and manage user acceptance testing.&nbsp;</li><li>Support the expansion of service management capabilities such as ticket taxonomy, SLAs, and self-service workflows.&nbsp;</li></ul> 4. Data, Analytics &amp; Insight&nbsp; <ul><li>Compile, validate, and analyze workforce and process data to support business cases, benchmarking, and decision-making.&nbsp;</li><li>Build clear, traceable analysis and reporting, including cost-to-serve, cycle time, volumes, and quality metrics.&nbsp;</li><li>Support the development of dashboards and management reporting that track transformation benefits and service performance.&nbsp;</li></ul> 5. Change Enablement &amp; Stakeholder Engagement&nbsp; <ul><li>Alongside our Change and Communications team, deliver change management activities for assigned initiatives, including stakeholder engagement, communications, training, and adoption support.&nbsp;</li><li>Run stakeholder interviews and workshops to capture pain points, requirements, and priorities across the Hire-to-Retire lifecycle.&nbsp;</li><li>Build strong working relationships with vertical HR teams and enabling functions to secure buy-in and sustained adoption.&nbsp;</li></ul> 6. Value Realization &amp; Continuous Improvement&nbsp; <ul><li>Track delivery against defined success metrics and support the realization and reporting of transformation benefits.&nbsp;</li><li>Capture lessons learned and embed a culture of continuous improvement and service excellence within Human Capital Services.&nbsp;</li><li>Contribute to the ongoing development of transformation standards, tools, and delivery methodology.&nbsp;</li></ul> Requirements: Qualifications &amp; Experience&nbsp; <ul><li>Bachelors or Masters degree in HR, Business, Information Systems, or a related discipline.&nbsp;</li><li>6 to 10 years experience in HR transformation, HR shared services, consulting, or enterprise HC operations.&nbsp;</li><li>Proven experience delivering process and technology change within complex, multi-entity organizations.&nbsp;</li><li>Practical experience with HR technology ecosystems (for example HCM, ATS, LMS, and ServiceNow) and workforce data and analytics.&nbsp;</li><li>Exposure to AI-enabled solutions within the Human Capital services domain is an advantage.&nbsp;</li><li>Recognized project management or process improvement certification (for example PMP, PRINCE2, Agile, or Lean Six Sigma) is desirable.&nbsp;</li></ul> Key Competencies&nbsp; <ul><li>Project and workstream delivery.&nbsp;</li><li>End-to-end HC process design and improvement.&nbsp;</li><li>HR technology enablement and requirements management.&nbsp;</li><li>Workforce data analysis and reporting.&nbsp;</li><li>Stakeholder engagement and change enablement.&nbsp;</li><li>Structured problem-solving and attention to detail.&nbsp;</li><li>Commercial and value-oriented mindset.&nbsp;</li></ul>

Responsibilities: <ul><li>The job holder will be responsible to design, develop, deliver and administer training programs that enhance employee knowledge, skills, behaviours, and performance to support the company attain its strategic objectives.</li><li>Develop and implement comprehensive Training intervention programs that aligns with Talent Management strategy and overall development of the employees to address specific skill gaps.</li><li>Conduct needs assessment to identify skill gaps and training needs and create training programs that are designed to effectively improve performance and productivity of employees.</li><li>Plan the annual training calendar and delivery of Internal/ External trainings and development programs by rolling out suitable training programs that enhance employees’ skills and performance, increase productivity/ quality of work and meet the identified needs in alignment with the organizations values and culture.</li><li>Facilitate training and awareness sessions/ workshops for employees and leaders and maintain close communication with all to discuss training needs, training methodologies and solutions to ensure that they are fully aware of training opportunities available.</li><li>Deliver training sessions, workshops, and seminars to employees, ensuring content is engaging, relevant, and interactive.</li><li>Develop and manage the training budget to ensure that the best quality of trainings are provided within the established budget and ensure that resources are allocated effectively across all levels of the organization.</li><li>Identify and partner with external vendors to source training content and solutions as needed and measure performance to ensure that the organizations learning and development programs have access to the best training content and solutions available in the market.</li><li>Provide coaching and support to managers and leaders to help them develop their teams and support employee development.</li><li>Conduct post-training surveys to measure training program and vendor effectiveness and relevancy along with individual retention and adoption of learnings.</li></ul> Requirements: <ul><li>Bachelor’s degree in Business Administration with Major’s in Human Resources; Master’s degree- preferred</li><li>Professional certification in Assessment and Learning and/or CIPD in Learning and Development (level 3 or 5)- preferred</li><li>Certified Coach or Certified NLP (Neuro-Linguistic Programming) practitioner - preferred</li></ul>

Responsibilities: SUPPORT CUSTOMERS AND DEBUG FIRMWARE <ul><li>Customer engineering support: Act as the primary technical escalation point for Security Firmware on SSD products — triage, prioritize, and drive customer reported security issues to closure within committed response times</li><li>Security feature enablement: Guide customers through the configuration, integration, and validation of SSD security features; including, but not limited to: TCG Opal/Pyrite/Ruby and Enterprise SSC, ATA and NVMe security commands, self-encrypting drive operation, secure boot and signed firmware update, sanitize and cryptographic erase, key management, and device attestation</li><li>Debug and root cause analysis: Reproduce customer, qualification, and field failures in the lab; analyze firmware logs, traces, and bus captures; debug Security Firmware source; and deliver documented root cause and corrective action</li><li>Firmware fixes and validation: Develop, unit test, and functionally validate targeted Security Firmware changes and customer specific configurations and builds, ensuring each change meets the security, functional, performance, and quality/reliability requirements of the technical spec matrix before release</li><li>Vulnerability and incident response: Assess the impact of reported vulnerabilities and security findings on products already in the field, and support mitigation planning, remediation delivery, and customer disclosure</li><li>Customer qualification and compliance support: Support customer security audits, security questionnaires, and certification activities (e.g. TCG specification compliance, FIPS 140-3, Common Criteria), and produce the application notes, integration guides, and technical documentation customers depend on</li></ul> STAKEHOLDER MANAGEMENT <ul><li>Represent our client in direct technical engagement with customer engineering teams, translating Security Firmware behavior, constraints, and risk into terms that are clear to both engineering and non-engineering audiences</li><li>Dedicatedly provide to management, multi-functional team members, and the firmware team consistent, detailed, and properly summarized information regarding customer issues, escalation status, and the progress of firmware fixes</li><li>Maintain accurate issue records, root cause reports, and knowledge base content so that recurring customer questions are answered faster over time</li></ul> PEOPLE DEVELOPMENT <ul><li>Multi-functional Teamwork: Develop and maintain collaborative, open and, constructive relationships with peers, management, and partner teams across firmware development, product engineering, quality, and field applications</li><li>Team Development: Provide technical capability that continuously improves team involvement, morale, and productivity</li><li>Personal Development: Work to continuously improve your technical capability and communication skills</li></ul> AI UTILIZATION <ul><li>Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and requirements.</li><li>Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.</li></ul> Requirements: <ul><li>Bachelors/masters degree in computer or electrical engineering with 5+ years of relevant experience.</li><li>Experience in a customer facing engineering role such as customer engineering support, field applications, sustaining engineering, or escalation management is strongly preferred</li><li>Embedded Security domain knowledge and experience, including cryptography fundamentals (AES, RSA/ECC, SHA), key management, secure boot, and secure firmware update</li><li>Familiarity with storage security standards and features such as TCG Opal and Enterprise SSC, ATA Security, NVMe security and sanitize commands, and self-encrypting drives is an advantage</li><li>Expertise in the use of programming languages (eg. C, C++, RUST), programming tools &amp; environments</li><li>Experience programming in Python for test automation, log parsing, and debug tooling is an advantage</li><li>Understanding of storage interfaces including ideally PCIe/NVMe, SATA, or SAS</li><li>Experience with NAND flash and other non-volatile storage is an advantage</li><li>Experience in storage industry, storage systems, or a related technology is an advantage</li><li>Proficiency in debugging and resolving code problems for firmware applications, including the use of debuggers, firmware trace and log analysis, and protocol analyzers</li><li>Experience with defect tracking, change control, and firmware release processes in a production or sustaining environment</li><li>Excellent written and verbal communication skills, with the ability to manage multiple concurrent escalations under time pressure and stay effective in customer visible situations</li><li>Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, and achieving business outcomes.</li></ul>

Responsibilities: <ul><li>Define and implement NAND Flash reliability test flows to assess product reliability performance and prevent extrinsic/intrinsic reliability escapes.</li><li>Perform high volume statistical data analysis to evaluate NAND DPM/ intrinsic reliability risks and trends.</li><li>Drive electrical failure analysis, including advance characterization, to identify root causes and solution spaces.</li><li>Develop short term countermeasures such as targeted stresses and screens, applying knowledge of digital/analog circuits, device physics, and process engineering.</li><li>Qualify the product with innovative control measures to provide best in Class DPM and Cell reliability.</li><li>Collaborate closely with Fab, NAND Technology, NAND Design, Product Development, System Development, and Quality/Reliability teams to develop solutions and enable shipment of high quality end products.</li></ul> Requirements: <ul><li>Bachelor’s degree&nbsp;with &gt; 10 years or Master’s degree&nbsp;with &gt; 7 years or PhD with &gt; 5 years&nbsp;of relevant experience in Electrical Engineering or related field.</li><li>Experience in Semiconductor Reliability, NAND Technology, and Electrical Failure Analysis.</li><li>In depth background in NAND Design, Device Physics, Circuits,&nbsp;Process, Test, Validation.&nbsp;</li><li>Experience with application of AI tools, LLMs ,&nbsp;data analysis tools (e.g., Python, JMP, Tableau)</li><li>Strong statistical analysis, communication, and problem solving skills.</li><li>Experience in leading cross functional projects and mentoring&nbsp;junior engineers.</li><li>Strong analytical and problem solving skills.</li><li>Team player and self driver.</li></ul>

Responsibilities: <ul><li>Lead process integration (PI) structural uniformity and cross loop integration for critical modules (e.g., capacitance loop), owning end to end integration strategies to resolve yield, quality, and reliability gaps. </li><li>Drive physics&nbsp;and process based integration solutions through close collaboration with cross module process owners, PI subject matter experts, and key suppliers to optimise integration structures and achieve BIC yield and quality targets.</li><li>Develop and apply model based root cause analysis frameworks (transport, reaction kinetics, pattern density, and geometry dependent effects) to diagnose structural non uniformity. Define, implement, and continuously strengthen critical inline monitoring and defence lines (CD, film loss, mass delta, defectivity, edge/periphery metrics) to ensure robust control of structural uniformity.</li><li>Own and advance product integration programs and loop level domain expertise, maintaining deep technical knowledge across node transitions. </li><li>Proactively drive node over node “shift left” integration, including early implementation of uniformity, bevel, and backside best known methods (BKMs) during development phases to accelerate whole wafer (centre-to-edge) yield and quality ramp.</li><li>Drive worldwide technical alignment and execution excellence by leading global projects, standardizing and leveraging network BKMs, and scaling proven solutions across sites. Identify efficiency and performance gaps, and lead business process creation, optimization, and re engineering to improve benchmark performance, cycle time, and development productivity.</li><li>Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.</li></ul> Requirements: <ul><li>Bachelors/Masters/PhD. in EE, Materials Engineering, Materials Science, Physics and Chemical but optional if candidates have more than 10 years experience in process related role in the semiconductor industry.</li><li>With more than 7 years of relevant industry experience/knowledges.</li><li>Good logical thinking and knowledge in Semiconductor Fabrication process flows, interaction of different processes and how changes affect yield, device performance and reliability. Understanding of DRAM and NAND operation and structure to decipher parametric, probe and qual data from both front-end and backend assembly processes.</li><li>Good model-based problem solving, together with data-driven decision making, and presentation skills. Proven ability to troubleshoot and solve structure and device-related issues, and address root cause.</li><li>Good organizational capabilities and ability to work effectively. Ability to be flexible with job responsibilities and take the initiative to assume added responsibilities. Travel to company sites as necessary for face-to-face collaboration.</li><li>Strong interpersonal skills and customer/co-worker relationships. Successfully demonstrated teamwork skills with a strong focus on developing good team dynamics.</li><li>Good multi-tasking, verbal and written communication skills.</li><li>Ability to apply baseline digital fluency and role appropriate AI literacy to use AI enabled tools responsibly and effectively for research, analysis, content creation, problem solving, operational tasks, and achieving business outcomes</li></ul>

Role Description: <ul><li>Youll be empowered to be at the top of your game by providing strategic partnership, and innovative technology solutions that supports our client vision of being a tech-driven, global, long-term investment firm.</li></ul> Responsibilities: What will you do as an VP, Enterprise Cybersecurity Engineering, Cybersecurity Platform Engineer? <ul><li>Identify and recommend improvement areas in existing enterprise security architecture to address evolving cybersecurity threats</li><li>Align and balance business requirements with cybersecurity, information, and technology requirements, based on the organization’s risk appetite</li><li>Evaluate, perform proof-of-value/proof-of-concept, design, build and implement enterprise-class cybersecurity systems</li><li>Develop integrated security operating models and documentations to ensure operational efficiency, scalability, and sustainability</li><li>Act as a domain expert and trusted partner in Cyber Security &amp; Resilience; work closely with stakeholders in Technology Group and other business groups on cybersecurity engineering related matters</li></ul> Requirements: What qualifications or skills should you possess in this role?&nbsp; <ul><li>Bachelor’s degree in Information Technology, Computer Science, or a related discipline.</li><li>At least 10 years of relevant experience preferably in financial services or asset management industries, with minimum 7 years in Cyber Security or Information Security.</li><li>Proven experience in implementing and operationalizing enterprise cybersecurity platforms, including:</li><li>Security Operations Tooling: EDR, NDR, SIEM, SOAR, XDR, Threat Intelligence Platforms (TIPs).</li><li>Email Security: Secure email gateways (SEG) and Integrated Cloud Email Security (ICES), anti-phishing and anti-malware controls, DMARC/DKIM/SPF authentication, and email threat detection and response.</li><li>Continuous Threat Exposure Management (CTEM): Attack surface assessment, vulnerability assessment, data aggregation and risk-based prioritization, threat exposure management, and attack simulation/validation (e.g., BAS).</li><li>Experience operationalizing a CTEM program or equivalent risk-based exposure management framework preferred.</li><li>Working knowledge of cloud security controls and reference architectures across AWS, Azure, and Google Cloud Platform.</li><li>Scripting and coding skills, with proficiency in Java, Python, C#, or similar programming languages, and good understanding of REST API’s and JSON.</li><li>Ability to produce detailed documentation, including design diagrams and process flows.</li><li>Must be meticulous, versatile, and inquisitive, having strong attention to detail with an analytical mind and outstanding problem-solving skills.</li><li>Desire to learn, working in a diverse environment, interacting with multiple teams and functions to support strategic goals. Be a good team player and excellent communicator.</li><li>Professional qualification in information security, such as CISSP / CISM / CEH will be advantageous.</li></ul>

Responsibilities: <ul><li>Support Senior Manager in developing annual marketing strategies and mall-level plans.</li><li>Assist with market positioning, competitive analysis, and customer segmentation.</li><li>Align with internal business units on marketing direction.</li><li>Assist in delivering annual integrated 360° campaigns.</li><li>Coordinate with Strategy and Leasing teams.</li><li>Implement strategies to enhance customer loyalty and revenue.</li><li>Prepare campaign briefs and scopes of work.</li><li>Manage execution of approved campaigns.</li><li>Identify partnership opportunities</li><li>Support development of event concepts and activations.</li><li>Coordinate with operations, mall teams, and agencies for event execution.</li><li>Ensure branding and setup consistency.</li><li>Oversee preparation of marketing collateral.</li><li>Support in securing authority approvals.</li><li>Assist in evaluating sponsorships.</li><li>Ensure events are promoted across all channels.</li></ul> Requirements: <ul><li>Bachelor’s degree required; Master’s preferred</li><li>Experience:-5–7 years marketing experience, ideally GCC.</li><li>Experience in mall marketing, PR, events, digital, or agencies.</li><li>Strong understanding of multi-channel marketing.</li><li>Knowledge of digital tools and analytics.</li><li>Strong creative and project management skills.</li><li>Strong communication skills.</li></ul>

Role Description: <ul><li>Automotive Industry offers products for vehicle electrification systems like chassis systems, convenience applications, driver information, infotainment solutions, miniaturization solutions, motor and powertrain applications etc.&nbsp;</li><li>The client Automotive BU is focused on developing new and improved vehicle architecture approaches to efficiently address these challenges in Connectivity from power to propulsion and safety.&nbsp;</li><li>The Manager R&amp;D Product development contributes to the development of organizational strategy and supports in implementation of operational plans.</li><li>Being part of Product development team responsible to develop for new products and sustenance of existing product lines of Automotive business unit of client.</li><li>This position drives development of PCB connectors for automotive applications including Board to Board, Wire to Board and Flex to Board connectors.</li></ul> Responsibilities: <ul><li>Managing experienced professional and/or supervisors who exercise independence in their assignments and providing them with the required guidance and also be a strong technical contributor.</li><li>Providing strategic leadership to foster growth of the business.</li><li>Interacting and cooperating with multiple organizational levels to meet schedule and technical expectations.</li><li>Administrating schedules and ensuring performance requirements.</li><li>Providing knowledge of engineering tools such as Creo, etc. and product domain expertise in multiple projects.</li><li>Assist Inside Device Connectivity (InDeCo) engineering teams with New Product Developments across a range of projects and executing on cost optimization/reduction (VA/VE) opportunities for the business.</li><li>Preparing design verification test plans, Design &amp; Process FMEAs.</li><li>Successfully facilitate transfer and support of new product introduction (NPI) into high volume manufacturing.</li><li>Contributing to technical function initiatives across various initiatives.</li><li>Reverse Engineering and benchmarking of competitor products.</li><li>Support product environmental compliance and approvals for all new products and platforms as required by our customers.</li><li>Be a strong technical partner and provide support to Product management teams.</li><li>Attend/support customer meetings, technology days and site visits as required.</li></ul> Requirements: <ul><li>Master’s degree in mechanical engineering or equivalent is preferred with minimum 8 years of experience in related fields.</li><li>Mechanical or equivalent engineering Degree with minimum 10 years of related product development experience.&nbsp;</li><li>Experience with product design of PCB Connector such as Board to Board, Flex to Board, Wire to Board is essential.</li><li>Knowledge in product design of plastic, terminals (sheet metal), fine pitch connectors, rubber components.</li><li>Working knowledge of driving diversity and inclusion, customer/market focus, result orientation, managing multiple priorities, envisioning the future, coaching and developing people and collaborating across boundaries</li><li>Extensive experience executing plans in a disciplined way and in holding people accountable.</li><li>Organized, methodical and self-motivated individual.</li><li>A person with the ability to achieve goals and the highest standards of performance in a dynamic fast paced environment.</li><li>Attention to detail and on time delivery.</li><li>Excellent judgment, timely and high-quality decision-making skills.</li><li>Proven ability to execute engineering deliverables.</li><li>Strong customer service mindset and mentality of delivering quality products and services on time and within company cost and profitability objectives.</li><li>Fluent communication skills facilitate collaboration with own team, customers, internal business leaders and technology leaders to create value.</li><li>Individual must be self-motivated, have strong planning skills and be able to deal with and balance multiple competing priorities.</li></ul> Functional: Mandatory: <ul><li>Working knowledge of product development (Processes, Approaches, Tools and Techniques) &amp; Validation</li><li>Working knowledge of manufacturing processes like injection Mold, plating, assembly &amp; High-speed stamping</li><li>Working knowledge to apply Six Sigma / DFSS methodology to design, development, and delivery of technology products and process.</li><li>Working knowledge in use of CAD systems (CREO Part modeling &amp; Sheet Metal)</li><li>Interpretation of simulation results &amp; translating into product design</li><li>Working knowledge in Design for Manufacturability (DFM) &amp; FMEA&nbsp;</li><li>Proficient in Tolerance stack-up and GD&amp;T</li><li>Ability to generate design concepts and solve design problems&nbsp;</li><li>Working knowledge in prototyping methods</li><li>Working knowledge in Manufacturing process (Molding / Stamping / Plating)</li><li>Understanding of linear and non-linear analysis</li><li>Working knowledge of product life cycle.</li><li>Basic Knowledge in quality tools (8D, Why Why analysis, Fish bone….)</li><li>Awareness of recognition &amp; protection of IP (intellectual property) features</li><li>Basic knowledge of PPAP documentation.</li></ul> Preferred: <ul><li>Knowledge of customer application&nbsp;</li><li>Experience in development of automotive signal and power connectors.</li></ul> Department specific: <ul><li>Exposure to PCB Connector design</li><li>Ability to understand specifications for validation as per US CAR / LV 214 / Similar Specification</li><li>Knowledge about crimping technologies, Ultrasonic welding technologies, Laser welding technologies</li></ul>

Role Description: <ul><li>The AI Transformation Engineer is responsible for identifying, evaluating, and deploying AI-enabled solutions that improve engineering productivity, accelerate development activities, and enhance decision-making across ICT Engineering.</li><li>The role serves as the bridge between engineering teams, AI technical specialists, and business stakeholders to ensure AI opportunities are translated into measurable business outcomes. This position leads the implementation lifecycle of approved AI initiatives, from opportunity assessment through deployment and value realization.</li><li>The role focuses primarily on engineering workflows, knowledge work, and business processes where AI can eliminate non-value-added activities, improve engineering effectiveness, and reduce time-to-market.</li></ul> Responsibilities: ﻿Opportunity Identification &amp; Assessment <ul><li>Partner with engineering teams to identify productivity challenges, workflow inefficiencies, and opportunities for AI-enabled improvement.</li><li>Analyze current-state engineering processes and determine the potential value of AI solutions.</li><li>Gather business requirements and define desired outcomes.</li><li>Partner with AI technical specialists to assess technical feasibility and solution options.</li><li>Work with the AI Value Realization Engineer to establish baseline measurements, value estimates, success criteria, and evidence requirements.</li><li>Provide use-case requirements, value assumptions, and implementation estimates to support prioritization and business-case development.</li><li>Determine whether identified opportunities are best addressed through AI, conventional automation, process improvement, or a combination of approaches.</li></ul> Solution Delivery &amp; Deployment <ul><li>Lead execution of approved AI initiatives from pilot through full deployment.</li><li>Coordinate stakeholders across engineering, digital technology, AI development teams, and subject matter experts.</li><li>Manage pilots, validation activities, user testing, and deployment readiness.</li><li>Drive user adoption and organizational change management activities.</li><li>Ensure solutions deliver expected business outcomes and user value.</li><li>Rapidly prototype and evaluate AI-enabled workflows using available enterprise AI platforms, low-code/no-code tools, and workflow automation technologies.</li></ul> Value Realization <ul><li>Own achievement of approved project objectives and targeted business benefits.</li><li>Monitor adoption, usage, and performance of deployed solutions.</li><li>Identify and resolve barriers to implementation success.</li><li>Partner with the AI Value Realization Engineer to validate benefits and track realized value.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering or related technical discipline.</li><li>5+ years of engineering, product development, manufacturing engineering, or related experience.</li><li>Strong understanding of engineering workflows and development processes.</li><li>Experience leading cross-functional projects and driving organizational change.</li><li>Ability to translate business challenges into actionable improvement opportunities.</li><li>Strong communication, facilitation, and stakeholder management skills.</li><li>Demonstrated passion for AI and digital transformation.</li><li>Practical experience applying AI, automation, or digital technologies to engineering or business problems; experience with generative AI, LLMs, AI agents, or workflow automation preferred.</li><li>Experience rapidly prototyping and evaluating AI-enabled workflows using enterprise AI platforms, low-code/no-code tools, or workflow automation technologies.</li><li>Working understanding of LLM capabilities and limitations, including common failure modes, validation approaches, and human-in-the-loop considerations.</li></ul>

Role Description: <ul><li>The AI Analytics &amp; Value Realization Engineer is responsible for ensuring AI initiatives deliver measurable business value across ICT Engineering.</li><li>The role establishes value measurement frameworks, validates benefits, develops performance dashboards, and enables data-driven decision making across the AI portfolio. This position serves as the primary subject-matter expert for AI adoption measurement, business impact reporting, value realization tracking, and portfolio analytics</li></ul> Responsibilities: Value Definition &amp; Business Case Support <ul><li>Partner with AI Transformation Engineers during opportunity assessments.</li><li>Establish baseline metrics, value hypotheses, and expected business outcomes.</li><li>Define standardized measurement methodologies and evidence requirements for AI initiatives, distinguishing between forecast, validated, realized, and sustained business value.</li><li>Develop approaches for measuring engineering productivity and operational benefits, including time savings, cycle-time reduction, quality improvement, throughput, and adoption where direct financial measurement is not feasible.</li><li>Challenge assumptions and ensure value estimates are fact-based and measurable.</li></ul> Portfolio Measurement &amp; Reporting <ul><li>Develop and maintain AI portfolio dashboards and KPI reporting.</li><li>Track solution adoption, utilization, and business impact.</li><li>Collect and analyze deployment performance data.</li><li>Ensure consistent reporting across all AI initiatives.</li><li>Generate monthly reporting for ICT Engineering leadership, ICT AI leadership, and segment AI leadership.</li></ul> Value Realization &amp; Validation <ul><li>Validate achievement of project objectives and business benefits.</li><li>Monitor sustainability of realized benefits after deployment.</li><li>Identify underperforming initiatives and recommend corrective actions.</li><li>Support prioritization decisions using objective performance and value data.</li><li>Develop standardized value realization methodologies and reporting processes.</li><li>Design measurement approaches that compare pre- and post-deployment performance and provide credible evidence that observed improvements are attributable to deployed solutions.</li></ul> Advanced Analytics <ul><li>Perform portfolio analytics and trend analysis.</li><li>Support executive decision-making with actionable insights.</li><li>Maintain data quality and governance standards for AI program reporting.</li><li>Build Power BI dashboards and reporting solutions.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering, Data Analytics, Business Analytics, Statistics, or related field.</li><li>Experience with analytics and visualization tools such as Power BI, including dashboard development, KPI reporting, and data analysis.</li><li>Strong analytical and quantitative problem-solving skills.</li><li>Experience developing and maintaining business metrics and measurement frameworks.</li><li>Experience establishing performance baselines and designing measurement approaches to evaluate the impact of implemented solutions.</li><li>Ability to translate complex data into actionable business insights.</li><li>Knowledge of engineering, technology, or transformation programs preferred.</li><li>Strong communication and executive presentation skills.</li></ul>

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216 programming tools Jobs found

Manager - Hire to Retire

Manager - Training

Principal/Staff Engineer – Firmware Development

Principal NAND Reliability Product Engineer

Front End Central Product Integration (FE CPIE) MTS (FE)

VP, Enterprise Cybersecurity Engineering

Manager - Marketing - Retail

Manager I - R&D Product Development Engineering

AI Transformation Engineer

AI Analytics and Visualization Engineer

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216 programming tools Jobs found

Manager - Hire to Retire

Manager - Training

Principal/Staff Engineer – Firmware Development

Principal NAND Reliability Product Engineer

Front End Central Product Integration (FE CPIE) MTS (FE)

VP, Enterprise Cybersecurity Engineering

Manager - Marketing - Retail

Manager I - R&D Product Development Engineering

AI Transformation Engineer

AI Analytics and Visualization Engineer

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