Data Excellence Manager Jobs

Procurement Analyst (Procurement Analyst-General) Company: The Boeing Company Boeing Defense, Space & Security (BDS) has an exciting opportunity for an Experienced Procurement Analyst (Level 3) to join our dynamic Chinook team in Ridley Park, Pennsylvania . Position Responsibilities: Defines, designs, plans and deploys internal/external projects Develops processes and tools to measure key performance indicators Extracts, analyzes and prepares reports to measure key supplier and internal performance-to-plan Develops, documents and implements processes and systems in support of company goals Supports the development and implementation of strategies Identifies and implements improvements to streamline and automate process flows Distributes, updates and tracks procurement plans for supply chain integration and procurement analysis Assesses and reports compliance to internal/external stakeholders Develops risk mitigation plan This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Shift: This position is for 1st shift. Basic Qualifications (Required Skills/Experience): More than 5 years of experience using all the following Microsoft Office Applications (Word, Excel and PowerPoint. More than 5 years of experience working with analytics, data and spreadsheets to build presentations and make recommendations Experience supporting deliverables for both internal and external customers. More than 5 years of experience working across multiple business units and interfacing with k

The Client Onboard Assoc Analyst is a developing professional role. This role identifies policy and applies specialty knowledge in monitoring and assessing processes and data. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Must be able to exchange information in a concise and logical way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team. Responsibilities: Responsible for a wide range of duties from account opening to account maintenance, to internal partner support with extensive client interface. Responsible for ensuring a smooth process in handling all of the aspects of onboarding a client. Liaise with clients and internal teams in to ensure that time to market is minimized and that transparency can be provided around processes. Identify opportunities to centralize and optimize processes to improve client satisfaction and the overall group performance. Support and monitor the timely and accurate execution of client and internal requests to the group. Provide additional support through the population of account opening, market opening and tax documentation, ensuring all documents are collected, verified and stored, and provide status back to the client. Perform client documentation searches across internal and external sites and compile client profiles. Interact with client regarding the latest status and current on-boarding actions. Partner with internal teams to ensure regulatory reviews on all clients are performed. Ensure all client review materials are in place and comp

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Position Overview The Pre-Analytical Laboratory Technician II is responsible for preparing samples for analysis, recording, and/or verifying patient’s information. This role is primarily responsible for performing duties related to accessioning, sample management, problem resolution, data entry, and specimen storage with high degree of proficiency. A successful candidate would be expected to have the ability to swiftly pick up new laboratory process that they are trained in due to experience gained in previous laboratory roles. Potential candidates should be able to demonstrate that they have good documentation practices (GDP) knowledge. Shift: Monday-Friday: 11am-7:30pm PST Essential Duties Include, but are not limited to, the following: Perform laboratory tasks, as assigned. Clean and organize common lab areas and take responsibility for all housekeeping tasks being completed on time. Receive, sort, and unpack incoming samples regularly. Unpack, log and track incoming samples using specified software regularly. Perform administrative duties required for incoming samples; including, but not limited to scan needed paperwork, such as pathology reports and requisitions and file physical paperwork per required procedures. Perform order entry and order processing such as in lieu of; including, but not limited to reviewing patient demographics and sample collection. Evaluate insurance and verify billing information. Transcri

Become a part of our caring community The Legal Operations Professional collects, organizes, and analyzes law department data, including matter management metrics, outside counsel spend, and operational benchmarks. Your work assignments are often straightforward and of moderate complexity. Job Responsibilities: Help with the administration and maintenance of legal technology platforms such as e-billing, matter management, and knowledge management systems Assist with vendor management coordination, including tracking outside counsel performance, processing invoices, and maintaining vendor records Help prepare reports, dashboards, and presentations on law department metrics, spend trends, and benchmarking data to inform leadership decision-making Conduct financial analysis of law department spend data, including reviewing and evaluating law firm and legal service provider pricing structures Helps create financial models to analyze law firm alternative fee arrangements (AFAs), prompt pay discounts, volume discounts, and other fee structures to identify cost savings and optimize outside counsel spend Support the preparation of law firm and legal service provider pricing reviews, including rate benchmarking, fee arrangement comparisons, and value assessments to inform negotiation strategies Work is managed and often guided by precedent and/or documented procedures/regulations/professional standards with some interpretation. Use your skills to make an impact Required Qualifications Bachelor's degree 1+ years experience working in legal operations, legal support, knowledge management, or a related professional services environment Experience collecting, organizing, and analyzing data to support operational reporting and decision-making

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. Global EHS & Sustainability is building a future-ready operating model founded on Trusted Data, AI Enablement, and Decision Intelligence. As the Solutions Engineer, EHSS Solutions , you will design, develop, and validate digital capabilities that improve EHSS operations through analytics, automation, AI-enabled solutions, intelligent workflows, and decision-support tools. You will partner with EHSS SMEs, site teams, PMO, SMAI, IT, and technology partners to transform business needs into scalable and supportable digital solutions. Your initial focus will be AI enablement, workflow automation, analytics, and decision-support capabilities. You will lead technical solution design, prototyping, and pilot activities while partnering with SMAI, IT, and delivery teams to prepare validated solutions for production deployment. Key Responsibilities Design & Deliver Digital Solutions <spa

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Global Procurement Project Title Procurement Analytics and Supplier Performance Improvement Project Description The intern will undertake a structured project within the Global Procurement team, gaining practical exposure to strategic sourcing, supplier management, procurement analytics, and business process improvement. Working under the guidance of experienced procurement professionals, the intern will examine procurement and supplier data, conduct market and supplier research, and develop analytical outputs that inform sourcing and category-management decisions. The project will provide opportunities to collaborate with stakeholders from Facilities, Engineering, Finance, Operations, and Global Procurement. The intern will also gain an understanding of procurement governance, supplier evaluation, cost analysis, and digital ways of working in a global business environment. Objective of the Project Develop an understanding of strategic sourcing, supplier management, and procurement governance. Apply analytical techniques to procurement, spend, cost, and supplier-performance data. Identify insights and improvement opportunities th

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location MSB, Singapore (990 Bendemeer Road, Singapore 339942) Department New Product Manufacturing Project Title AI-Enabled Manufacturing Analytics and Productivity Automation Project Description The intern will undertake a structured project that applies Artificial Intelligence, Generative AI, data analytics, and automation technologies to selected opportunities within New Product Manufacturing. Under the guidance of experienced engineers and business stakeholders, the intern will evaluate defined processes where AI-Enabled solutions may reduce manual effort, improve data visibility, automate reporting, and generate actionable insights from manufacturing and operational data. The project may involve automated work-in-process reporting, lot-prioritization analysis, intelligent dashboards, or productivity automation. The intern will gain practical experience using approved tools such as Microsoft Copilot, Power BI, Power Automate, Power Apps, SharePoint, Python, and Structured Query Language. Objective of the Project Develop an understanding of New Product Manufacturing processes, data sources, and operational challenges. Identify a defined opportunity where AI, Generative AI, data analytics

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Department ADTS ATI PI Project Title Faster Cell Metrics Drift Detection Using Advanced Data Analytics Project Description The intern will undertake a structured engineering project to develop data analytics and detection models for the early identification of cell metric drift using large-scale manufacturing test and measurement data. Under the guidance of experienced engineers, the intern will analyze relationships among inline, probe, cell metric, and quality data. The intern will gain exposure to industrial data analytics, statistical analysis, detection modelling, and visualization techniques used in semiconductor manufacturing. The project may also involve AI-Enabled workflows for data exploration, pattern identification, and analytical productivity. Project activities will focus on defined analytical assignments and measurable learning outcomes. Objective of the Project Develop an understanding of cell metrics and their relationship with semiconductor manufacturing and product-quality data. Analyze manufacturing data to identify early indicators of cell metric drift. Develop a detection methodology for monitoring selected cell metrics and potential quality excursions. Communicate a

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location 1 Woodlands Industrial Park D, Street 1, Singapore Department Dry Etch Manufacturing Project Title Predictive Modelling of Dry Etch Equipment Consumable-Part Lifetime for Cost and Productivity Improvement Project Description The intern will undertake a structured engineering project focused on identifying key consumable parts in Dry Etch equipment and studying the process and equipment parameters that influence their useful lifetime. Under the guidance of experienced engineers, the intern will analyze equipment, process, maintenance, and consumables-related data to develop a predictive analysis model for estimating part lifetime. The project aims to improve consumable utilization and cost efficiency while maintaining safety, product quality, equipment performance, and manufacturing yield. The project will provide exposure to Dry Etch equipment, lean manufacturing, cost management, data analytics, predictive modelling, dashboard development, and AI-Enabled engineering workflows. Objective of the Project Develop an understanding of Dry Etch equipment functions, processes, and key consumable parts. Identify equipment and process parameters that influence consumable-part lifetime

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Department F10 Manufacturing, Photolithography Project Title Internet of Things-Based Photolithography Equipment Monitoring and Anomaly Detection Project Description The intern will undertake a structured engineering project focused on developing an Internet of Things-based solution for photolithography equipment and process monitoring. Under the guidance of experienced engineers, the intern will study photolithography equipment behaviour, process flow, and available sensor signals. The intern will apply Python programming, data analytics, system integration, and selected Machine Learning techniques to develop or enhance a defined monitoring use case. The project will provide practical exposure to semiconductor manufacturing equipment, Internet of Things architecture, data ingestion, signal processing, visualization, and AI-Enabled anomaly detection. Project activities will be limited to the assigned use case and conducted with appropriate engineering guidance. Objective of the Project Develop a strong understanding of photolithography equipment behaviour, process flow, and process signals. Design and implement an Internet of Things-based solution for enhanced equipment or process monitoring. Ena

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities and Tasks Consolidate and validate loading, capacity, headcount, budget, cost and qualification readiness data from multiple sites and systems. Analyze utilization and identify bottlenecks, data gaps, trends, plan-versus-actual variances, and execution risks. Maintain and continuously improve planning dashboards, systems, reports, analytical models, assumptions, and readiness trackers. Independently lead global stakeholder meetings and drive alignment toward shared goals. Investigate and resolve non-routine issues, assess business impact and risks, recommend practical actions, and follow through to closure. Build repeatable, reliable workflows using AI or automation tools such as Power BI, Tableau, Power Automate, Python, SQL, VBA, Copilot, Claude, or other LLMs. Document standard workflows, share best practices, and mentor team members on established planning tools and methods. Qualification: Bachelor’s degree in Engineering, Industrial Engineering, Information Systems, Operations Management, Data Analytics, or a related field, or equivalent practical experience. At least 2 years of relevant experience in semiconductor or quality operations, with hands-on experience in capacity planning, report automation, data analytics, or process improvement. Proficiency in two or more relevant tools, such as Power BI, Tableau, Power Automate, UiPath, Python, SQL, VBA, Copilot, Claude, or other LLMs. <l

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location 1 North Coast Drive, Singapore Department Product Integration Engineering, Yield Enhancement Project Title Data Analytics for Yield Enhancement in Advanced Memory Manufacturing Project Description This internship provides structured exposure to yield enhancement challenges in advanced memory manufacturing. Through guided learning and supervised technical exploration, the intern will gain practical experience applying data analytics techniques to understand yield behaviour and identify potential improvement opportunities. The project will involve semiconductor probe-test data, electrical failure modes, fabrication-process metrics, multivariate analysis, Python-based analytics, and introductory Machine Learning techniques. The intern will also explore approved Artificial Intelligence and Generative AI tools to enhance data exploration, solution development, and technical documentation. The project emphasizes learning, skills development, and the practical application of analytical methods in a manufacturing environment. It is designed to prepare the intern for future engineering and data-analysis roles in the semiconductor industry. Objective of the Project Develop an understanding of yield b

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location MSB, Singapore (990 Bendemeer Road) Department MSBH Facilities Project Title AI-Powered Sustainability Command Center Project Description The intern will undertake a structured engineering project focused on developing an AI-Powered Sustainability Command Center for selected energy, water, utility, cost, and carbon datasets. Under the guidance of experienced engineering and digital professionals, the intern will assess existing data sources and reporting processes, develop a structured and reliable data model, and create an interactive dashboard for sustainability performance monitoring. The project will also explore analytics, Artificial Intelligence, Generative AI, and automation methods for anomaly detection, insight generation, opportunity prioritization, and reporting. AI-generated outputs will remain traceable to source data and subject to appropriate engineering validation. Objective of the Project Consolidate agreed sustainability and utility datasets into a structured and reliable data model. Develop an interactive command-center dashboard for operational and management visibility. Apply rule-based analytics or AI-Assisted methods to identify anomalies

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Financial Management team develops market leading API products that power the most influential digital finance experiences that help millions of consumers and small businesses every day - think budgeting apps and financial management tools offered by banks and wealth platforms. Our mission is to unlock financial freedom for everyone by making it easier for customers and businesses to meet their financial goals. We do this through a state-of-the art, data aggregation and machine learning engine that enables our customers to seamlessly build delightful experiences on top of consumer-permissioned financial data. Every day, Plaid helps thousands of developers build a better financial future. You'll be responsible for defining the products which enable Plaid and our customers to shape the future of financial services. We are looking for the right product manager to own and grow Plaid’s financial management products, including Transactions, Investments, and Liabilities, even more valuable to our customers and partners. Plaid is on a journey to build insights on top of open banking data that drive value for customers, consumers and the fintech ecosystem in general. Additionally AI is

Zoox is building the world's most advanced self-driving hardware and software solution, and nearly every part of it depends on moving data reliably. Sensor frames to perception, planner decisions to vehicle controls, telemetry to the cloud, and remote operator video back down again. All of it crosses process, host, and network boundaries under hard latency and reliability budgets, on a vehicle that has to keep working when a link degrades or a network gets congested. The Software Core Connectivity team owns that data path end to end: in-vehicle messaging (pub/sub, RPC, inter-process and inter-host transport), the vehicle's internal network, and vehicle-to-cloud connectivity. It also owns the transport and serialization abstractions the rest of the software organization builds on. Every one of those paths crosses a team boundary, so the work happens alongside firmware, product security, simulation, manufacturing, and IT, and those partners rely on this team for transport and networking depth to achieve their goals. As the team leader you will own the roadmap and the release commitments, and you will spend a real share of your time in those partnerships. In this role, you will: Own the roadmap, staffing, and release commitments across the team's messaging, in-vehicle network, and cloud connectivity work. Lead and grow a team of software engineers, run their performance and promotion cycles, and hire into the gaps. Represent the team in cross-functional programs across firmware, product security, simulation, fleet operations, and infrastructure, and build the relationships that keep shared work moving. Set the technical bar. Make the architecture calls stick, and make sure the abstractions the team ships are ones other teams want to build on. Balance interrupt-driven reliability work against long-horizon architecture, and be explicit with partners about the tradeoff. Qualificati