Product Pricing Analyst

Solution Engineer - AI Infrastructure

Continuous Improvement Analyst III

Senior AI Engineer

Manager II – Quality & Reliability Engineer

Industrial Engineering & Operational Excellence Manager

Senior Site Quality Manager

Manager II – Quality & Reliability Engineering

Head of Supply Chain & Storage

Technical Product Manager

Responsibilities: <ul><li>Analyze industry pricing standards and competitors to set optimal pricing strategies.</li><li>Harvest and consolidate data from various sources to support pricing decision-making.</li><li>Maintain product pricing routinely in internal systems.</li><li>Manage pricing requests both online and offline via tools.</li><li>Identify low-margin business segments and collaborate with Product Managers to resolve issues.</li><li>Monitor pricing agreement performance and ensure adherence to expected margins.</li><li>Apply advanced analytics to identify pricing issues and opportunities.</li><li>Develop dashboards and reports that support strategic pricing decisions.</li><li>Explore innovative pricing techniques, such as AI-driven models, competitor benchmarking, and cross-functional data integration.</li><li>Communicate and align pricing strategies across departments: Sales, PM, Customer Care, and Finance.</li><li>Simplify and clearly communicate pricing decisions and methodologies to stakeholders.</li><li>Incorporate market insights and business rules into pricing logic.</li><li>Recommend pricing actions to capture market opportunities and improve profitability.</li></ul> Requirements: Experience: <ul><li>Minimum 5- 6 years of experience in pricing analysis, business analysis, commercial strategy, or a related field.</li></ul> Education: <ul><li>Bachelor’s degree or higher in Economics, Finance, Business, Statistics, or a related field.</li></ul> Skills: <ul><li>Strong analytical, strategic thinking, and problem-solving skills.</li><li>Proficiency in Excel and data visualization tools (e.g., Power BI).</li><li>Experience working across business units and aligning stakeholder objectives.</li><li>Ability to present complex data in a clear, simplified format.</li></ul>

Responsibilities: <ul><li>We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries.</li><li>You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations.</li><li>This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience.</li><li>The Cloud and AI Infrastructure team is responsible for helping customers change their business using Client technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage.</li></ul> Requirements: Minimum Qualifications: <ul><li>10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI).</li><li>Good understanding of programming/scripting languages</li><li>Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions.</li><li>Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems.</li><li>Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred</li><li>Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.</li><li>Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc).</li><li>In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar.</li><li>Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc).</li><li>Expertise in training and fine-tuning AI models on premise or in cloud environments.</li><li>Familiarity with containerization (k8 etc).</li></ul>

Role Description: <ul><li>The role drives Continuous Improvement initiatives (our client transformations) to support plant strategy, enhance operational excellence, and deliver measurable improvements in efficiency, quality, and cost savings.</li><li>The analyst will mentor practitioners, facilitate Kaizen, lead value stream projects, and embed lean practices across the site.</li></ul> Responsibilities <ul><li>Drive our client deployment, critical project reviews, and KPI tracking.</li><li>Mentor and coach Kaizen facilitators and site practitioners.</li><li>Lead value stream mapping, implement lean inventory systems (Kanban, JIT, supermarkets, two-bin).</li><li>Facilitate site-wide Kaizen events and track closure of action plans.</li><li>Provide training on our client foundations, lean tools, and digital factory usage.</li><li>Report site-level performance against strategy deployment targets and star assessment levels.</li><li>Collaborate with supply chain and operations to reduce WIP, improve flow, and sustain CI culture.</li></ul> Requirements <ul><li>BE/B.Tech (Mechanical/Production/Automotive).</li><li>8–10 years of hands-on experience in the Automotive industry.</li><li>Strong knowledge and application of Lean tools &amp; methodologies.</li><li>Six Sigma Green Belt certification(Pref).</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to coach across shop floor to senior management.</li><li>Adaptability and resilience in dynamic CI environments.</li></ul>

Responsibilities: <ul><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools</li><li>Lead the design and development of solutions using Agentic AI</li></ul> Requirements: Basic Qualifications: <ul><li>Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, or a related field.</li><li>8+ years of experience in software engineering, data science, AI, or a related field.</li><li>Proficiency in software development and statistical analysis.</li><li>Experience with Large Language Models and their applications.</li><li>Strong communication skills and the ability to present technical results to business stakeholders.</li><li>Experience with solution architecting and design.</li><li>Hands-on experience with cloud platforms such as Azure and/or AWS.</li><li>Proficiency in programming languages such as Python, R, or similar.</li><li>Strong problem-solving skills and the ability to work independently as well as part of a team.</li></ul> Preferred Qualifications: <ul><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Familiarity with Agile development.</li><li>Experience in applications on sales, marketing, and market research.</li><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support.</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.</li><li>Lead the design and development of solutions using Agentic AI.</li></ul>

Responsibilities: 1. Team Leadership <ul><li>Manage, mentor, and develop a team of Quality and Reliability Engineers.</li><li>Assign projects and tasks based on individual strengths and organizational priorities.</li><li>Conduct performance evaluations and provide coaching for continuous improvement.</li><li>Lead cross-functional problem-solving teams to address customer quality issues, reduce DPPM, and lower the cost of poor quality.</li></ul> 2. Quality Assurance <ul><li>Develop and implement robust quality control processes and procedures.</li><li>Oversee customer quality audits and ensure compliance with our client quality policies and customer requirements.</li><li>Analyze quality data and metrics to identify trends and areas for improvement.</li></ul> 3. Failure Analysis <ul><li>Lead structured failure investigations (e.g., fault tree analysis) to determine root causes and corrective actions.</li><li>Coordinate product testing related to customer-reported issues.</li><li>Serve as the primary quality interface with customers on escalations, reliability matters, and compliance.</li></ul> 4. Project Management <ul><li>Lead quality and reliability improvement projects from concept through completion.</li><li>Collaborate cross-functionally with Sales, Engineering, and Operations to align on customer quality objectives.</li><li>Support supplier reviews, customer audits, and on-site technical support.</li><li>Conduct periodic business reviews with key customers on DDN quality and reliability performance.</li></ul> 5. Continuous Improvement <ul><li>Identify opportunities for process optimization, cost reduction, and improved efficiency.</li><li>Implement Lean and Six Sigma methodologies to drive continuous improvement.</li><li>Collaborate with Engineering and Sales to share the DDN strategic quality roadmap and strengthen customer partnerships.</li></ul> 6. Reporting and Communication <ul><li>Prepare and present reports on quality and reliability metrics to senior leadership.</li><li>Communicate effectively with internal and external stakeholders on quality matters and escalations.</li><li>Provide Voice of the Customer (VoC) feedback to Product Management, Engineering, and Manufacturing to mitigate risks.</li></ul> 7. Tactical Initiatives <ul><li>Proactively identify and remove roadblocks affecting quality and customer satisfaction.</li><li>Drive urgency and accountability across teams to meet customer expectations.</li><li>Bridge communication between customers and internal teams to ensure timely problem resolution.</li></ul> Requirements: Qualifications and Experience <ul><li>Education: Bachelor’s degree in Electrical, Mechanical, or related Engineering field; Master’s degree preferred.</li><li>Experience: Minimum 7 years in Quality Assurance or Reliability Engineering, including at least 3 years in a managerial or global capacity.</li></ul> Technical Skills: <ul><li>Strong knowledge of Quality Management Systems (QMS), Statistical Process Control (SPC), Gage R&amp;R, and reliability tools.</li><li>Experience with failure analysis using structured methodologies (e.g., fault tree analysis).</li></ul> Certifications: <ul><li>Six Sigma Black Belt, ASQ Certified Quality Engineer (CQE), or equivalent preferred.</li></ul> Soft Skills: <ul><li class="ql-indent-1">Strong leadership and team development skills.</li><li class="ql-indent-1">Excellent problem-solving, communication, and interpersonal abilities.</li><li class="ql-indent-1">Demonstrated customer interface experience in data center interconnect technology.</li><li class="ql-indent-1">Executive-level presence with the ability to influence across all levels of the organization.</li></ul>

Responsibilities: <ul><li>Lead the Operational Excellence strategy through sponsorship and facilitation of Kaizen events.</li><li>Coach and mentor tool owners and team members on Operational Excellence practices.</li><li>Facilitate and deliver training on Lean and Continuous Improvement tools (e.g., 5S, TPM, Value Stream Mapping).</li><li>Identify, communicate, and implement improvement and cost-saving opportunities.</li><li>Monitor and report progress on Operational Excellence initiatives and performance metrics.</li><li>Manage systems for tracking productivity and savings, collaborating with cross-functional teams.</li><li>Support manufacturing lines with Capacity Analysis and the creation, training, and governance of operational standards.</li></ul> Supervision This position directly supervises: <ul><li>Continuous Improvement Analysts.</li><li>Manufacturing Technicians (Industrial Engineering roles).</li><li>Operational Excellence Interns.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Industrial Engineering or related field (required).</li><li>Lean Certification (required).</li><li>Master’s Degree in Engineering or Business (preferred).</li><li>Minimum 5 years of experience in Operational Excellence or related roles.</li><li>Bilingual (English/Spanish) preferred.</li><li>Skills and Competencies (Desirable).</li><li>Knowledge of Change Management (certification preferred).</li><li>Proficiency in Microsoft Office 365.</li><li>Advanced skills in Excel (Pivot Tables, Macros), PowerPoint, MS Project, AutoCAD, Minitab, and simulation software.</li><li>Basic knowledge of Power BI dashboards and Power Automate (or similar tools).</li><li>Strong understanding of problem-solving techniques, Lean Six Sigma, and process improvement methodologies.</li><li>Proven experience supervising and developing engineers.</li><li>Excellent communication, teamwork, and leadership skills.</li><li>Ability to work under pressure and influence stakeholders at all levels.</li></ul>

Responsibilities: <ul><li>Lead and develop the quality team, fostering a culture of continuous improvement and cross-department collaboration.</li><li>Partner with manufacturing, engineering, and global quality teams to ensure product quality, process capability, and regulatory compliance.</li><li>Champion and uphold plant-wide quality standards, policies, and systems in alignment with corporate and customer requirements.</li><li>Monitor and report key quality performance indicators (e.g., customer complaints, internal defects) and provide actionable insights to plant leadership.</li><li>Manage internal and external audits and ensure audit readiness across the facility.</li><li>Oversee plant-wide quality improvement initiatives to reduce defects and scrap and improve process control and product reliability.</li><li>Lead root cause analysis, corrective actions, and continuous improvement efforts to address recurring quality issues.</li><li>Collaborate with engineering and production teams to ensure new product introduction (NPI) meets quality standards.</li><li>Mentor and coach quality team members to foster a high-performance culture.</li><li>Travel as required to support internal and external customer needs and NPI programs.</li></ul> Requirements: <ul><li>Bachelor’s degree in Engineering, Quality, or a related technical field (preferred).</li><li>8+ years of progressive quality experience in a manufacturing environment.</li><li>Strong knowledge of ISO 9001 and regulatory compliance standards.</li><li>Minimum of 3 years in a leadership role managing quality teams.</li><li>Expertise in Lean Manufacturing and advanced quality methodologies.</li><li>Proven experience with 8D problem solving, FMEA, DOE, SPC, and safe launch processes.</li><li>Proficiency in quality data analysis tools such as Minitab, JMP, or similar.</li><li>Excellent communication, analytical, and leadership skills, with the ability to inspire and motivate teams.</li></ul>

Responsibilities: <ul><li>Lead development and execution of standardized DfRE and RV methodologies across Converged Products.</li><li>Champion a Design for Six Sigma (DFSS) culture, mentoring and training product design teams.</li><li>Oversee product validation, including HALT/HAST testing, Test-to-Failure (TTF) methodologies, and DOE approaches.</li><li>Collaborate with Product Development Engineering (PDE), Manufacturing Process Development Engineering (MPDE), Field Application Engineering (FAE), and Advanced Quality Engineering (AQE) teams to integrate reliability considerations throughout the product lifecycle.</li><li>Develop comprehensive test and validation plans aligned with our client LeanPD stage-gate approach.</li><li>Drive early concept testing, failure mode identification, and iterative product design improvements.</li><li>Support failure analysis (F/A), Root Cause and Corrective Action (RCCA), and competitive benchmarking activities.</li><li>Partner with Global R&amp;T COE to develop custom test equipment, test systems, and software for unique testing requirements.</li><li>Manage and coach a high-performing team, ensuring clear accountability, skill development, and work-life balance.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Electrical Engineering, Electronics, or Mechatronics.</li><li>10+ years of experience in all aspects of reliability engineering for electronic or mechatronic products (reliability estimation, calculation, and risk identification).</li><li>Extensive experience with test equipment, test systems, labs, HALT/HAST testing, validation plans, and custom test systems.</li><li>Proven experience working with global, cross-functional engineering teams in multi-site organizations.</li><li>Strong analytical, critical thinking, and problem-solving skills.</li><li>Knowledge of FIT estimation methodology, Weibull/Chi-Square statistical analysis, FMEDA, FTA, and Bayes theorem applications.</li><li>Reliability engineering training from ASQ, TUV, Reliasoft, or equivalent.</li><li>Excellent written and verbal communication skills in English.</li><li>Willingness to travel up to ~20%.</li></ul>

Responsibilities: Strategic Planning and Leadership&nbsp; <ul><li>Formulate and implement comprehensive supply chain, distribution, and storage strategies aligned with Energy Business strategic objectives</li><li>Lead cross-functional teams to optimize supply chain performance and drive operational excellence</li><li>Develop and execute long-term capacity planning and infrastructure investment strategies</li><li>Establish key performance indicators (KPIs) and metrics to measure supply chain effectiveness</li><li>Present strategic recommendations and performance reports to executive leadership and board members</li></ul> Cross-Entity Synergy &amp; Integration&nbsp; <ul><li>Drive supply chain optimization and synergy realization across all entities within the Energy Business Unit</li><li>Identify and implement consolidated product procurement strategies, and integrated logistics solutions</li><li>Establish standardized processes, systems, and best practices across all Energy BU subsidiaries and divisions</li><li>Lead cross-entity collaboration to maximize economies of scale in sourcing, transportation, and storage operations</li><li>Develop integrated demand planning and capacity optimization strategies that leverage combined entity requirements</li><li>Create unified supplier management programs and negotiate enterprise-wide contracts to achieve cost savings and improved service levels</li><li>Implement shared infrastructure utilization strategies including storage facilities, distribution networks, and transportation assets&nbsp;</li></ul> Commercial Storage Infrastructure Management&nbsp; <ul><li>Lead the storage arm as a commercial enterprise, managing port-based storage facilities that serve both internal operations and external clients</li><li>Develop and implement commercial storage strategies to maximize revenue generation from third-party storage services while ensuring operational efficiency for internal requirements</li><li>Manage storage facility operations, capacity allocation, and infrastructure maintenance across multiple locations</li><li>Source for potential storage infrastructure to meet storage needs</li><li>Establish competitive pricing strategies, commercial terms, and service level agreements for third-party storage customers</li><li>Optimize storage utilization through dynamic capacity management, balancing internal operational needs with commercial rental opportunities</li><li>Build and maintain relationships with external petroleum companies, traders, and logistics providers seeking storage solutions</li><li>Ensure compliance with port authority regulations, maritime safety standards, and environmental requirements for commercial storage operations</li><li>Develop and execute expansion plans for storage infrastructure based on market demand analysis and return on investment projections</li><li>Coordinate with port authorities, shipping agents, and terminal operators to ensure seamless product handling and transfer operations</li><li>Establish quality assurance protocols for different petroleum products and maintain product segregation standards</li><li>Develop contingency plans for supply disruptions, emergency response procedures, and business continuity for both internal and external customers</li></ul> Supply Chain Management and Distribution Optimisation&nbsp; <ul><li>Oversee end-to-end supply chain operations including demand planning, procurement, logistics, and inventory management</li><li>Optimize sourcing strategies and supplier relationships to ensure reliable supply of petroleum products</li><li>Manage procurement processes, contract negotiations, and supplier performance evaluation</li><li>Implement demand forecasting methodologies and inventory optimization strategies</li><li>Ensure compliance with regulatory requirements and industry standards across all operations</li><li>Design and manage efficient distribution networks to across multiple market segments</li><li>Oversee transportation and logistics operations</li><li>Coordinate with sales teams to align distribution capabilities with market demands</li><li>Manage relationships with third-party logistics providers and distribution partners</li><li>Implement technology solutions to enhance distribution efficiency and customer service</li></ul> Team Leadership &amp; Development&nbsp; <ul><li>Build, lead, and develop a high-performing team</li><li>Foster a culture of continuous improvement, innovation, and operational excellence</li><li>Establish clear roles, responsibilities, and performance expectations for team members</li><li>Provide coaching, mentoring, and professional development opportunities</li><li>Manage organizational change and transformation initiatives&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s degree in supply chain management or a business related field;</li><li>Masters degree (MBA or specialized Masters) is an added advantage.</li><li>Professional certifications (APICS, CSCMP, or equivalent) highly desirable;</li><li>Minimum 10 years of progressive and relevant experience in supply chain management, preferably in the energy, oil &amp; gas, or petrochemical industry</li><li>Over 5 years in senior leadership roles with P&amp;L responsibility</li><li>Proven track record of successfully managing complex, multi-site operations across multiple business entities or subsidiaries</li><li>Experience with storage facility management and petroleum product handling</li><li>Experience in strategic planning, business transformation, and operational optimization</li><li>Demonstrated success in driving synergies and integration across diverse business units or entities</li><li>xperience managing shared services organizations and cross-entity optimization initiatives</li></ul> Critical Success Factors&nbsp; <ul><li>Deep understanding of energy sector supply chains</li><li>Expertise in supply chain planning, demand forecasting, and inventory optimization</li><li>Knowledge of petroleum products, storage systems, port operations, and distribution infrastructure</li><li>Experience in commercial storage operations, terminal management, and third-party logistics services</li><li>Understanding of port authority regulations, maritime safety standards, and petroleum handling protocols</li><li>Proficiency in supply chain management software, ERP systems, and storage management platforms</li><li>Strong analytical skills with experience in data-driven decision making and commercial pricing strategies</li><li>Understanding of regulatory requirements and safety standards in the energy sector and port operations</li><li>Knowledge of petroleum product quality specifications, blending requirements, and contamination prevention</li></ul> Competencies&nbsp; <ul><li>Strong strategic thinking and business acumen with experience in multi-entity environments</li><li>Excellent communication and presentation skills</li><li>Proven ability to lead and influence cross-functional teams across different entities and geographies</li><li>Strong negotiation and relationship management skills</li><li>Change management and transformation leadership experience</li><li>Results-oriented mindset with focus on operational excellence and synergy realization</li><li>Experience in matrix management and leading virtual teams across organizational boundaries&nbsp;</li></ul>

Responsibilities: <ul><li>Collaborate with stakeholders to define product requirements and roadmap.</li><li>Translate customer needs into clear and actionable technical specifications.</li><li>Write and refine business requirements and acceptance criteria.</li><li>Work closely with product managers to prioritize the backlog in JIRA.</li><li>Work closely with engineering teams to ensure successful and timely product development and delivery.</li><li>Act as the primary liaison between business stakeholders, clients, and technical teams.</li><li>Run cross-functional meetings and facilitate decision-making.</li><li>Provide transparency on product status, risks, and dependencies.</li><li>Review and test deliverables to ensure they meet business requirements.</li></ul> Requirements: <ul><li>Strong technical background with knowledge of blockchain technology and distributed systems.</li><li>Experience with Agile/Scrum methodologies and product management tools such as JIRA.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and leadership abilities.</li><li>Strong organizational and facilitation skills.</li><li>Ability to work effectively in a fast-paced, dynamic environment.</li><li>Collaborative team player with the ability to influence without authority.</li></ul>

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69 agile scrum methodologies Jobs found

Product Pricing Analyst

Solution Engineer - AI Infrastructure

Continuous Improvement Analyst III

Senior AI Engineer

Manager II – Quality & Reliability Engineer

Industrial Engineering & Operational Excellence Manager

Senior Site Quality Manager

Manager II – Quality & Reliability Engineering

Head of Supply Chain & Storage

Technical Product Manager

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69 agile scrum methodologies Jobs found

Product Pricing Analyst

Solution Engineer - AI Infrastructure

Continuous Improvement Analyst III

Senior AI Engineer

Manager II – Quality & Reliability Engineer

Industrial Engineering & Operational Excellence Manager

Senior Site Quality Manager

Manager II – Quality & Reliability Engineering

Head of Supply Chain & Storage

Technical Product Manager

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

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