Lead Quality Analyst Jobs

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data Scientist Overview: Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Role: We are seeking a highly skilled and motivated Lead Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. The successful candidate will play a leadership role in developing advanced analytics and machine learning solutions across cybersecurity, payments, and fraud. This person will also have formal people-management responsibilities for junior team members, helping them grow their technical capabilities, manage priorities, and deliver high-quality work. Job Responsibilities: • Lead the design, development, validation, and implementation of advanced analytical solutions, predictive models, and machine learning algorithms using large-scale payment, fraud, merchant, cybersecurity, and threat-intelligence data. • Provide technical leadership for graph analytics and modeling, including graph schema design, relationship modeling, community detection, link analysis, graph embeddings, and graph neural networks – all in service of

Work Flexibility: Hybrid or Onsite Stryker is hiring a Staff Software Quality Engineer, Post Market Integration endoscopy and communications business . I n this highly visible role, you will serve as a quality engineering leader for commercialized products, driving complex investigations, risk management activities, product quality improvements, and regulatory compliance across the product lifecycle. Partnering closely with R&D, Operations, Commercial, and Quality teams, you will lead customer complaint investigations, CAPA, change management reviews, and continuous improvement initiatives while leveraging software quality, SDLC, and quality system expertise to enhance product reliability, performance, and patient safety. This role is ideal for an experienced quality professional who thrives in a fast-paced, regulated environment and enjoys solving complex technical challenges that directly impact customers and healthcare outcomes. What you will do Serve as a subject matter expert for quality engineering, leading complex investigations, root cause analysis, risk management activities, and system-level problem solving. Lead customer complaint investigations, nonconformance, CAPA, product field actions, and other regulatory quality processes, driving effective corrective actions and product improvements. Partner cross-functionally with customers, commercial teams, operations, R&D, and quality functions to address critical product and process quality issues. Review and influence change management, design, and development activities by identifying risks, challenging effectiveness, and driving continuous improvement opportunities. Analyze quality and operational performance metrics to identify trends, prioritize actions, and improve product quality, reliability, and compliance. Appl

Job Summary The Supplier Quality Engineer II is a fully proficient professional individual contributor responsible for ensuring that purchased electronic, electrical, electromechanical, and mechanical components, materials, assemblies, and supplier-provided services meet company, customer, regulatory, and contractual quality requirements. Working with limited supervision, this position independently manages routine to moderately complex supplier-quality assignments across supplier qualification, risk assessment, auditing, performance monitoring, nonconformance investigation, corrective and preventive action, change management, and continuous improvement. The (Supplier Quality Engineer II) partners with suppliers and internal stakeholders in Strategic Purchasing, Procurement, Engineering, Manufacturing, Quality, Product Management, Logistics, and other functions to resolve quality issues, strengthen supplier capability, reduce risk, and improve product and process performance. The role applies broad working knowledge of quality engineering principles, electronics-component manufacturing processes, drawings and specifications, quality systems, structured problem-solving methods, and statistical analysis to identify root causes, evaluate containment and corrective actions, and recommend practical solutions. Consistent with a second-level professional contributor role, the Supplier Quality Engineer II independently handles varied assignments within established policies and professional standards, exercises judgment when selecting and adapting methods, manages multiple priorities, and escalates issues that involve significant technical, commercial, customer, or compliance risk. The position may lead to defined supplier-quality projects, facilitate cross-functional problem-solving activities, and provide technical guidance or knowledge sharing to less-experienced employees without formal people-management responsibility. This is the second level within the Supplier Qualit

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary CVS Health is seeking a strategic, data-driven Manager, Business Analysis, Workforce Initiatives, Data & Analytics to lead workforce intelligence and analytics initiatives that support enterprise workforce planning, talent pipeline development, program effectiveness, and business decision making. This role is responsible for transforming Workforce Initiatives data into actionable business intelligence that improves participant outcomes, strengthens talent pipelines, drives operational efficiency, and informs enterprise workforce strategy. Sitting at the intersection of data analytics, business strategy, workforce planning, technology, and operational excellence, the Manager will convert complex data into meaningful insights that influence talent, operational, and organizational outcomes. The successful candidate will serve as the business owner for the Workforce Initiatives data ecosystem, ensuring data quality, governance, reporting consistency, and scalability across key platforms including Workday, Applicant Tracking Systems (ATS), LearningHub, Sophia, and other enterprise technologies. As a strategic partner to Workforce Initiatives leadership, Human Resources, Talent Acquisition, Operations, Finance, Information Technology, and external stakeholders, this leader will identify trends, uncover opportunities, measure program effecti

AI Delivery Lead eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud , helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle—accelerating innovation that ultimately improves patient outcomes. Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies . If you’re excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it. You will make an impact: As an AI Delivery Lead , you will help transform how eClinical Solutions Engineering teams plan, build, test, and deliver software by driving adoption of AI-enabled software development practices across the organization. You will work closely with Engineering, SQA, Product Management, Architecture, and DevOps to embed AI-assisted development and automation throughout the Software Development Lifecycle (SDLC). You will help teams identify opportunities to eliminate manual activities, improve delivery predictability, strengthen automated quality, and demonstrate measurable improvements in engineering productivity and software delivery. This role is ideal for someone who combines strong software delivery and Agile experience with a practical understanding of AI-assisted development and enjoys working directly with teams to turn new technologies and processes into repeatable engineering practices. Your day to day: Drive adoption and continuous improvement of AI-assisted development and AI-DLC practices across Engineering teams. Work directly with Engineering, SQA, Product, Architecture, and DevOps throughout planning, development, testing, and release. Partner with teams during backlog refinement and sprint planning to improve story read

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. As an NVM QRA Engineer in Global Quality, you will be responsible for conducting electrical failure analysis and data analysis on next-generation 3D NAND memory devices to support product quality and reliability. You will play a key role in sustaining and improving Micron’s memory quality by developing, implementing, and overseeing outgoing monitor plans. In a high-volume manufacturing (HVM) environment, you will manage deviations through structured risk assessments and provide data-driven product disposition decisions. Responsibilities and Tasks Develop, validate, and maintain test methodologies and coverage to ensure robust product quality and reliability. Provide release documentation upon achieving qualification and set up plans to monitor the quality and reliability of the products in the HVM phase. Perform product failure analysis on rejects to identify the failure mode and mechanisms that will lead to successful corrective actions and/or preventive actions. Assist and consult on post qualification quality and reliability issues and assist in the analysis and disposition of these materials. Coordinate with Research and Development and Product Engineering teams to comprehend new reliability issues and how to test for and assess their impact to customer risk and reliability. <

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. As a Global Quality (GQ) Non-Volatile Memory Quality Reliability Assurance (NVMQRA) Returned Material Authorization (RMA) Failure Analysis (FA) Engineer at Micron Technology, you will perform advanced system-level failure analysis of customer-returned products while leveraging AI-enabled diagnostic tools, data analytics, and automation technologies to accelerate root-cause determination. You will collaborate with cross-functional engineering teams to drive corrective actions, quality improvements, and customer satisfaction initiatives. In addition, you will lead strategic projects focused on AI transformation, process automation, operational excellence, and continuous improvement of Failure Analysis capabilities across the organization. Responsibilities and Tasks Perform FA of Customer Returns • Understand customer failure mode and observed fail conditions • Perform initial FA, including usage of Agentic-AI tool • Replicate customer test environment • Perform Automated Test Equipment (ATE) analysis and interpret results • Perform detailed fault isolation once failure has been confirmed • Collaborate with cross-functional resources and support groups to identify root cause and corrective action • Summarize findings and submit for Component / Firmware / Module FA Provide FA Diagnostic Reports to Internal Customers • Verify summarize analysis at electrical and physical level • Identify potential risks

ROLE SUMMARY As an AI-enabled strategic scientific leader, you will partner with Oncology Research Leadership to integrate AI-driven strategies that will drive data-informed decision-making across our Oncology Research pipeline. As the AI Portfolio Lead, you will bridge cutting-edge AI/advanced analytics with deep Oncology R&D expertise to guide our portfolio strategy. Working as an individual contributor reporting into the Head, Portfolio Strategy and Program Management, you will analyze and continuously assess Oncology Research projects using AI-driven insights (predictive models, scenario simulations, competitive intelligence) and propose actionable strategies to Oncology Research Leadership. This role is science-focused and spans across discovery and preclinical stage programs, ensuring that our project teams pursue the most promising scientific approaches and mechanisms of action. Your work will directly inform pipeline prioritization and resource allocation decisions, enhancing the quality and objectivity of governance deliberations with robust data. ROLE RESPONSIBILITIES Portfolio Analysis and Insights: Continuously analyze the oncology Research portfolio (ESD through Preclinical) using advanced AI/ML tools and analytics to evaluate each program’s scientific strength, probability of success, and strategic portfolio fit per disease area strategies. Strategy Recommendation: Develop and propose data-driven portfolio strategies (at both project and portfolio levels) to senior leaders and Research governance committee. Use scenario analysis and predictive modeling to highlight optimal project prioritization, pipeline balance, and resource allocation scenarios. AI-Enabled Decision Support: Integrate AI-derived insights (e.g. machine learning predictions, knowl

Work Flexibility: Hybrid or Onsite Stryker is hiring a Senior Quality Engineer to join our Neurovascular division. This is a hybrid r ole based in Fremont, CA or Salt Lake City, UT . As the Senior Design Quality Engineer , you will be actively involved in Product Risk Management, Post Market Surveillance, Design Control and Product Quality Improvement. You will be involved in a fast-paced mix of short design change efforts and will be responsible for product risk management and adherence to design control requirements throughout the product lifecycle. You will be responsible for ensuring that post market data and feedback is channeled into the risk management system throughout the product lifecycle. You will make regular use of problem-solving tools and statistical analysis to analyze and trend data and provide quality input into technical investigations, perform test method development and validation, design verification, risk assessment and design reviews. You will be responsible for supporting product testing and failure analysis, writing protocols and reports, creating and maintaining risk files and assessing the impact of necessary changes to our products. You will lead initiatives to increase sales and improve the customer experience of our devices. Neurovascular (NV) products push the boundaries of technology to meet ever increasing product performance requirements, making the goal of assessing and demonstrating, safety, performance and compliance an exciting challenge. What You Will Do Develop qualification plans, protocols, and reports for new products, existing products, components, and subassemblies. Execute product testing, inspection, verification, and validation activities to support design and quality objectives. Perform failure investigations and root cause anal

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. ***The ideal candidate will reside in larger New York area*** Position Summary The Senior Manager, Financial Planning and Analysis role will function as the Financial Planning and Analysis lead the New York Medicaid Health Plan and will support the CFO directly to achieve financial and strategic goals by managing and driving business actions and financial goals across the Plan. This position will oversee the development, analysis, and reporting of financial forecasts, budgets, and key performance metrics to support strategic decision-making. This role ensures alignment of financial strategies with state Medicaid requirements and corporate goals, providing actionable insights to executive leadership and cross-functional teams. With significant budget oversight and authority, the position drives financial performance, manages operational complexities, and assesses opportunities to enhance profitability and efficiency in a dynamic healthcare environment. Key interactions include executive leaders, operational managers, and state Medicaid stakeholders. The Senior Manager will: Oversee the development of comprehensive financial reports that align with strategic goals. Leads the identification of key financial variances and trends, providing insights for strategic decisions. Lea

Work Flexibility: Onsite Schedule: Monday – Friday 6:00am - 2:30pm, OT as needed What you will do: In this role, you will support the Materials Manager in coordinating daily material operations on the production floor, ensuring accurate material flow, inventory integrity, and timely delivery of components to support production schedules and operational needs. This role focuses on maintaining efficient material movement, supporting quality standards, and enabling production teams to meet safety, delivery, and cost objectives. Coordinate material availability, staging, and delivery to support uninterrupted production and minimize production downtime. Promote inventory accuracy by supporting material movements, ERP transactions, and work order processes (backflushing, transfers, scrap, and completions). Assist in identifying and resolving inventory discrepancies through root cause analysis while supporting cycle counts, physical inventories, and audit activities. Leverage material usage trends and production demand insights to help optimize stocking strategies and align inventory levels with production plans. Reinforce proper material handling, storage practices, FIFO practices, and compliance with GMP, GDP, and traceability requirements. Serve as a cross-functional point of coordination between materials, production, planning, warehouse, and quality teams to ensure alignment and material readiness. Support the training and development of the Materials team, fostering accountability, accuracy, and continuous improvement. Contribute to process improvement and Lean initiatives to enhance material flow, reduce inventory levels, improve space utilization, and enhance line-side efficiency. What you need: Required Qualifications: High School Diploma

About the Team The Customer Experience team serves as a foundational operations pillar at DoorDash, dedicated to resolving friction within the last mile. We architect and oversee an expansive global network of support centers — spanning both teammate-assisted and AI-driven support — obsessing over the user journey to ensure every interaction is seamless and reliable. As the analytics team, our mission is to make every support interaction measurably better: we define what a great resolution looks like, quantify where we fall short, and turn that into a roadmap for product, operations, and AI/ML partners. We are looking for a Manager to lead and grow the analytics team behind our core support experience. About the Role As a Manager on the Customer Experience Analytics team, you'll set the analytical vision for how DoorDash measures and improves customer resolutions across our global network of support teammates and their interactions with our customers. You'll lead and grow a team of data scientists working at the intersection of customer experience quality and operational cost — uncovering opportunities to drive perfect interactions and informing improvements to teammate tooling that leverages AI-driven resolutions. You'll establish a clear measurement framework for resolution quality, own insights to drive strategy and roadmap, and align partners across CX, Product, Engineering, Operations, and AI/ML. This is a high-visibility leadership role: success means better outcomes for customers, a more effective support organization, and a team of data scientists who are growing in their craft. You're excited about this opportunity because you will… Lead, grow, and develop a team of data scientists — providing mentorship, feedback, and clear career development pathways. Set the analytical vision for the core support experience, defining what a great customer resolution looks like and building the metrics to measure it. Uncover opportunities to drive perfect interactions, tr

Analytical Engineering Manager The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call. As an Analytical Engineering Manager, you lead a team of Analytical Engineers who own the data foundations for the business: the Gold layer, canonical metrics, certified dashboards, and semantic layer that make Asana's most important numbers trustworthy, and that make AI-powered self-serve through Claude and Databricks Genie actually work. You sit at the intersection of Data Engineering, Analytics, and Data Science, and you are accountable for whether business stakeholders trust the data in your team's domains and can answer their own questions without routing through your team. This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do and t he teams with which you partner . If you're interviewing for this role, your recruiter will shar e more about the in-office requirements . What you’ll achieve Lead, grow, and develop a team of Analytical Engineers: Own hiring, coaching, performance, and career growth, and set a high bar for data-model quality and stakeholder trust. Own the Gold layer and semantic-layer strategy across your team's domains (e.g. PLG, marketing, revenue, NPI/AWM): Your team is accountable for the curated data models, canonical metrics, dashboards, and Genie spaces the business depends on. Treat every recurring insight as a product with an owner, a cadence, and an SLA: Build a catalog of trusted, versioned data products instead of one-off rebuilds. Drive self-serve enablement: Prioritize the Gold tables, governed metric definitions, and metadata that make Claude + Databric

Zoox is seeking a high-agency, hands-on Lead Data Platform Engineer to architect, optimize, scale and own the next generation of our enterprise & AI data foundation. In this role, you will architect a high throughput, data fabric that unifies data across Zoox and downstream AI agents. You will drive performance tuning, cost optimization, RBAC, data governance and CI/CD pipelines to deliver secure, low-latency, 'AI-ready' data foundations across the organization. You will serve as the primary technical driver for our data platform, designing autonomous frameworks, building scalable data infrastructure and establishing strict standards for security and developer velocity. This is an engineering-intensive leadership role for a builder who thrives on solving complex challenges. In This Role, You Will... Scaling self-healing data pipelines that automatically handle schema evolution, detect anomalies, execute circuit breakers and recover from failures without manual intervention. Define and enforce company-wide data governance, access, automated data quality testing, schema evolution policies and metadata management to maintain high-fidelity data assets. Implement intelligent storage lifecycle strategies, resource throttling and query optimization to minimize compute overhead while delivering high-throughput, low-latency data access for analytics and AI agents. With a focus on Databricks vs EMR (AWS) cloud optimization (cost and performance). Build automated CI/CD deployment templates, environment isolation, testing frameworks and version control standards, enabling rapid, reliable and zero-downtime deployments Qualifications 10+ years of hands-on experience in Data Platform Engineering or Software Engineering with a proven track record of architecting and scaling production-grade data foundations. Deep expertise in scaling and optimization, query tuning, compute resource allocation and impl

About the Team Critical Harm Operations sits within User Safety & Risk Operations and builds enforcement systems for the most severe user-safety risks—including Frontier Risk and Material Harm—that are accurate, fast, defensible, and scalable. The Cyber vertical turns policy into reviewer standards, calibrated judgment, quality systems, escalation paths, and safe automation. About the Role We’re looking for a senior cybersecurity and cyber intelligence practitioner who is also an operations leader, strategist, and people manager. You’ll bring sound cyber judgment, strong analytical and automation instincts, and the ability to stay close to the work while setting direction, managing and developing people, aligning partners, building programs from 0→1, and translating ambiguity into durable operating systems. This role combines senior individual-contributor depth with direct people-management accountability. You’ll personally shape complex cyber judgments, operating models, SOPs, quality systems, and automation strategies while building, coaching, and holding accountable a high-performing team. You’ll also lead through influence across FTEs, BPO partners, and cross-functional teams. Baseline operational health—including quality, queue coverage, productivity, and SLA adherence—is table stakes; success is additionally measured by durable improvements to decision quality, stakeholder alignment, reviewer capability, and the systems that run the operation. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Set the strategic direction for Cyber Operations and translate high-level organizational priorities into a clear operating model, roadmaps, SOPs, escalation paths, quality goals, and safe-access strategies. Serve as the senior cybersecurity and cyber intelligence expert for complex and high-risk decisions across ChatGPT, API, Codex, agents, and