{ "count" : 36746, "data" : [ { "id" : "68b706987fc9a711f0f6fbda", "title" : "Software Development Manager, Device Privacy And Data Handling", "company" : "Servicios Comerciales Amazon Mexico S. de R.L. de C.V.", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 1050000.0, "max" : 1650000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Software Development Manager in Zapopan, Mexico, adjusted for manager seniority and the technology industry." }, "location" : "Zapopan, Jalisco, MEX", "locations" : [ "Zapopan, Jalisco, MEX" ], "timestamp" : "2026-06-15T03:47:08.235", "fingerprint" : "5ba81f31b62e8ba43af6c40a0c4868bb7c90c91959b2d7fb70fb8c359d12f4af", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3054155/apply", "externalId" : "5ab920ea-d18e-4989-ab78-62aa478c6e7a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zapopan", "state" : "Jalisco", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "20.7211203,-103.3913671" } ], "locationText" : "Zapopan, Jalisco, Mexico", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceLevel" : "Manager", "professionalSkills" : [ "Technical strategy", "Risk management", "System reliability", "Scalability" ], "hardSkillsList" : [ "Data handling", "Privacy technologies", "Code quality", "Testing", "Documentation" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data handling", "level" : "intermediate" }, { "name" : "Privacy technologies", "level" : "intermediate" }, { "name" : "Code quality", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Documentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Device privacy, Data handling, Software development management", "majorSkillsList" : [ "Device privacy", "Data handling", "Software development management" ], "coreResponsibilities" : "Lead and mentor a team, Foster technical excellence, Drive engineering best practices, Own end-to-end delivery of complex software projects, Manage scope, timelines, and resource allocation, Drive architectural decisions, Define technical roadmaps, Deliver customer-focused solutions, Manage team performance, Conduct hiring, Provide performance reviews, Make data-driven decisions for team growth, Ensure operational excellence, Implement and enforce security best practices, Maintain high standards for code quality, Maintain high standards for testing, Maintain high standards for documentation", "teamCollaboration" : "Collaborate with product managers; Collaborate with other engineering teams; Collaborate with stakeholders", "projectManagementSkills" : [ "Scope management", "Timeline management", "Resource allocation" ], "domainKnowledge" : "Device privacy; Data handling; Privacy-focused solutions; Customer experiences; Data control; Data protection; User experience; Security best practices; Compliance requirements", "domainList" : [ "device-privacy", "data-handling", "privacy-focused-solutions", "customer-experiences", "data-control", "data-protection", "user-experience", "security-best-practices", "compliance-requirements" ], "domainSpecificKnowledge" : [ "Device privacy", "Data handling", "Privacy-focused solutions", "Customer experiences", "Data control", "Data protection", "User experience", "Security best practices", "Compliance requirements" ], "communicationSkills" : "Technical designs; Product strategy", "documentationSkills" : "Documentation", "continuousLearning" : "Career development", "innovationCreativity" : "Drive innovation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Become world's most trusted provider", "qualificationsBasic" : "7+ years of engineering experience, 3+ years of engineering team management experience, 8+ years of leading the definition and development of multi tier web services, Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, Experience partnering with product or program management teams, Experience designing or architecting of new and existing systems", "qualificationsPreferred" : "Experience in communicating with users, other technical teams, and senior leadership, Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Device Privacy And Data Handling team spearheads Amazon's mission to become the world's most trusted provider of device and cloud services through innovative privacy-focused solutions. The team develops foundational privacy technologies that seamlessly integrate into customer experiences while ensuring complete data control and protection. Working at the intersection of privacy and user experience, the team enables developers across Amazon to implement robust privacy features without compromising functionality Key job responsibilities • Lead and mentor a team of software engineers, fostering technical excellence and career development while driving engineering best practices • Own end-to-end delivery of complex software projects, managing scope, timelines, and resource allocation across multiple workstreams • Drive architectural decisions and technical strategy aligned with business objectives and Amazon's leadership principles • Collaborate with product managers, other engineering teams, and stakeholders to define technical roadmaps and deliver customer-focused solutions • Manage team performance, conduct hiring, provide performance reviews, and make data-driven decisions for team growth and composition • Ensure operational excellence through metrics, monitoring, and continuous improvement of systems reliability and scalability • Implement and enforce security best practices, compliance requirements, and risk management strategies across team deliverables • Drive innovation and technical excellence while maintaining high standards for code quality, testing, and documentation Basic Qualifications: - 7+ years of engineering experience - 3+ years of engineering team management experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Manager, Device Privacy And Data Handling at Servicios Comerciales Amazon Mexico S. de R.L. de C.V.. Skills: Device privacy, Data handling, Software development management. Lead and mentor a team. Foster technical excellence", "postedDate" : "2026-06-13T05:26:15.276", "createdAt" : "2026-06-13T05:26:15.276", "lastUpdated" : "2026-06-15T03:47:08.235", "ingestTimestamp" : "2026-06-13T05:26:15.276", "mongoId" : "68b706987fc9a711f0f6fbda", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3054155/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data handling", "Privacy technologies", "Code quality", "Testing", "Documentation", "Leadership", "Mentoring", "Device privacy", "Software development management", "Technical strategy", "Risk management", "System reliability", "Scalability", "Scope management", "Timeline management", "Resource allocation", "Privacy-focused solutions", "Customer experiences", "Data control", "Data protection", "User experience", "Security best practices", "Compliance requirements" ], "skillCount" : 23, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 851.51184, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a307f0ef292fd229c054cec", "title" : "Senior ML Engineer, Manipulation", "company" : "Chef Robotics", "industry" : "Autonomy", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-16T13:03:21.665", "fingerprint" : "5bc2fa535e37250129566c44ba17b7eb362ee855cda161cf828fd1df3c4f45e7", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/ChefRobotics/ad92bc91-ae6b-4ef1-a794-97913052b20a/apply", "externalId" : "ad92bc91-ae6b-4ef1-a794-97913052b20a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Machine Learning, Robotics, Imitation learning, Reinforcement learning, Grasp estimation, Learned motion generation, PyTorch, Diffusion policies, Transformer-based action models, Action chunking, Vision-Language-Action models, TensorRT", "professionalSkills" : [ "Data collection strategies", "Training policies", "Dataset curation", "Dataset augmentation", "Training infrastructure", "Evaluation metrics", "Regression benchmarks", "Recovery behaviors", "Fallback behaviors", "Grasp-to-place performance", "End-to-end validation" ], "hardSkillsList" : [ "Behavior cloning", "Visuomotor control", "Robot learning", "Software engineering" ], "hardSkills" : [ { "name" : "Behavior cloning", "level" : "intermediate" }, { "name" : "Visuomotor control", "level" : "intermediate" }, { "name" : "Robot learning", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" } ], "majorSkills" : "ML Engineering, Robotics Manipulation, Robot Learning", "majorSkillsList" : [ "ML Engineering", "Robotics Manipulation", "Robot Learning" ], "coreResponsibilities" : "Design manipulation policies, Train manipulation policies, Implement policy architectures, Evaluate policy architectures, Adapt policy architectures, Build data collection pipelines, Curate datasets, Augment datasets, Define evaluation metrics, Define regression benchmarks, Build recovery behaviors, Build fallback behaviors, Validate grasp-to-place performance", "teamCollaboration" : "Platform team; Data team; Perception engineers; Robotics engineers", "projectManagementSkills" : [ "Project ownership" ], "domainKnowledge" : "Deformable food manipulation; Food manipulation challenges; Object variability", "domainList" : [ "deformable-food-manipulation", "food-manipulation-challenges", "object-variability" ], "domainSpecificKnowledge" : [ "Deformable food manipulation", "Food manipulation challenges", "Object variability" ], "toolProficiency" : [ "PyTorch", "MuJoCo", "Isaac Sim", "Genesis", "Gazebo", "TensorRT" ], "problemSolvingSkills" : "Solving manipulation problems", "specialRequirements" : "Work onsite five days a week", "qualificationsBasic" : "MS or PhD in Robotics, ML, CS, 5+ years ML systems robotics manipulation, Deep expertise in 2 of: imitation learning, reinforcement learning, grasp estimation, learned motion generation, PyTorch skills, Production-quality training pipelines, Production-quality evaluation pipelines, Deploy policies to real robotic hardware, Software engineering fundamentals, Write maintainable, well-tested code, Track record owning projects end-to-end", "qualificationsPreferred" : "Experience with VLA models, Experience with diffusion policies, Experience with transformer-based action representations, Familiarity with MuJoCo, Familiarity with Isaac Sim, Familiarity with Genesis, Sim-to-real transfer techniques, Experience with multiple end effector types, Background in food robotics, Background in agriculture robotics, Background in consumer goods robotics, Experience with model compression, Experience with quantization, Experience with TensorRT for edge deployment, Contributions to open robotics datasets, Publications at CoRL, Publications at ICRA, Publications at RSS, Publications at NeurIPS, Experience using Isaac Sim for synthetic data, Experience using Isaac Sim for domain randomization, Experience using Gazebo for synthetic data, Experience using Gazebo for domain randomization", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Chef Robotics is accelerating the deployment of intelligent machines in the physical world, starting with food production — the sector facing the largest labor shortage in the U.S., with 1.14M unfilled jobs today and 3.1M projected by 2030. These roles can't be offshored, making robotics essential to keeping production onshore and strengthening America's manufacturing base. Our AI-powered robots automate food prep and assembly in commercial kitchens and food manufacturing, and have already produced over 110 million meals in production — generating the world's largest proprietary dataset for deformable food manipulation. Backed by investors including Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and built by a team from Cruise, Zoox, Google, Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a mission to put an intelligent robot in every commercial kitchen. About the Role Chef Robotics is building autonomous robots that work alongside humans in commercial food preparation environments. Manipulation is one of the hardest open problems in robotics — and food makes it harder. Unlike structured industrial parts, food items are deformable, visually similar, irregularly shaped, and behave differently depending on temperature, moisture, and preparation state. At Chef, we're solving this in production, every day, across a growing menu of meal types and preparation configurations. As a Senior ML Engineer, Manipulation, you will own the learning systems that enable our robots to reliably pick, place, and handle diverse food classes using multiple end effectors — from suction grippers to multi-finger hands. You will work end-to-end: from defining data collection strategies and training policies, to deploying and debugging those policies on physical robots in real environments. We are a small, high-ownership team. We work onsite five days a week and move with startup urgency. ## In this role, you will Design and train manipulation policies — behavior cloning, imitation learning, and RL — for dexterous food handling across diverse item classes and end effector types (suction, parallel jaw, multi-finger) Implement and evaluate modern policy architectures (diffusion policies, transformer-based action models, action chunking) and adapt them to Chef's specific food manipulation challenges Work with the platform team to build data collection pipelines using teleoperation, kinesthetic teaching, and autonomous rollouts; work with the data team on dataset curation, augmentation, and training infrastructure Define evaluation metrics and regression benchmarks that accurately predict real-world manipulation performance; build recovery and fallback behaviors that handle dropped items, mis-grasps, and partial occlusions gracefully Partner with perception and robotics engineers to validate end-to-end grasp-to-place performance across new food classes, and end effector configurations ## What You Bring MS or PhD in Robotics, Machine Learning, Computer Science, or a closely related field — or equivalent practical experience 5+ years of experience developing and deploying ML systems for robotics manipulation, visuomotor control, or robot learning Deep expertise in at least two of: imitation learning, reinforcement learning, grasp estimation, or learned motion generation Strong PyTorch skills and experience building reliable, production-quality training and evaluation pipelines Hands-on experience deploying policies to real robotic hardware — not just simulation results Strong software engineering fundamentals in Python; ability to write maintainable, well-tested code across research and production codebases Track record of owning projects end-to-end: from problem framing through field deployment and iteration ## Nice-to-have Experience with Vision-Language-Action (VLA) models, diffusion policies, or transformer-based action representations Familiarity with simulation environments (MuJoCo, Isaac Sim, Genesis) and sim-to-real transfer techniques Experience with multiple end effector types — suction, parallel jaw, multi-finger, or soft grippers Background in food, agriculture, or consumer goods robotics where object variability is high Experience with model compression, quantization, or TensorRT for edge deployment Contributions to open robotics datasets or publications at CoRL, ICRA, RSS, NeurIPS, or similar venues Experience using simulation environments (e.g. Isaac Sim, Gazebo) for synthetic data generation and domain randomization ## Additional Information Chef Robotics is solving one of the hardest problems in AI and robotics — and we ship. Our robots are in production today, generating real data that trains the next generation of food AI. Backed by Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and built by a team from Cruise, Zoox, Google, Tesla, and Amazon Robotics, we're scaling fast with multiple multi-year enterprise contracts. If you want to build physical AI with real-world deployments and real impact, Chef is the place. ", "summaryDescription" : "Senior ML Engineer, Manipulation at Chef Robotics. Skills: ML Engineering, Robotics Manipulation, Robot Learning. Design manipulation policies. Train manipulation policies", "postedDate" : "2026-06-15T22:28:07.940", "createdAt" : "2026-06-15T22:28:07.940", "lastUpdated" : "2026-06-16T13:03:21.665", "ingestTimestamp" : "2026-06-16T03:27:10.821", "mongoId" : "6a307f0ef292fd229c054cec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Behavior cloning", "Visuomotor control", "Robot learning", "Software engineering", "ML Engineering", "Robotics Manipulation", "Robot Learning", "Data collection strategies", "Training policies", "Dataset curation", "Dataset augmentation", "Training infrastructure", "Evaluation metrics", "Regression benchmarks", "Recovery behaviors", "Fallback behaviors", "Grasp-to-place performance", "End-to-end validation", "Project ownership", "Deformable food manipulation", "Food manipulation challenges", "Object variability", "PyTorch", "MuJoCo", "Isaac Sim", "Genesis", "Gazebo", "TensorRT" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 802.868, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a16291c58b93c861e95a08c", "title" : "Utility Data and Modeling Analyst", "company" : "HDR", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data adjusted for mid-seniority, Saint Louis Park city tier, and the engineering/consulting industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T02:46:45.498", "fingerprint" : "750234fde7fa9a6099369120843b7d86c965903252b6816af102bf9bdbb7676d", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=779912", "externalId" : "779912", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Saint Louis Park", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9475726,-93.3569023" } ], "locationText" : "Saint Louis Park, Minnesota, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Power Query, Pandas, Python, R, Plotly, Seaborn, Matplotlib", "professionalSkills" : [ "Data engineering", "Business intelligence", "Data science", "Organizational skills" ], "hardSkillsList" : [ "Data modeling" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data modeling", "majorSkillsList" : [ "Data analysis", "Data modeling" ], "coreResponsibilities" : "Handle confidential information, Prioritize and handle multiple tasks, Manage various managers", "teamCollaboration" : "Employee-owned culture", "domainKnowledge" : "Utility data", "domainList" : [ "utility-data" ], "domainSpecificKnowledge" : [ "Utility data" ], "toolProficiency" : [ "MS Office", "Power BI", "Tableau" ], "communicationSkills" : "Grammar; Punctuation; Proofreading; Spelling; Telephone skills", "qualificationsBasic" : "Degree in closely related field or education/experience combination, Proficiency with MS Office, Proficiency with data engineering tools and languages, Proficiency with business intelligence tools, Proficiency with data science languages, Ability to handle confidential information, Excellent writing and people skills, Math and organizational skills, Flexibility and ability to prioritize, Handle multiple tasks and various managers, Excellent verbal and written communication skills, Commitment to being an active participant of employee-owned culture", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Required Qualifications A degree in a closely related field or combination of education and relevant experience Self-motivated, detail-oriented professional, ability to multitask a must Proficiency with MS Office including Word and Outlook Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib Proficiency with data science languages such as Python and R Ability to handle confidential information Excellent writing and people skills Strong math and organizational skills Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Minnesota-Saint Louis Park", "summaryDescription" : "Utility Data and Modeling Analyst at HDR. Skills: Data analysis, Data modeling. Handle confidential information. Prioritize and handle multiple tasks", "createdAt" : "2026-06-14T21:31:19.547", "lastUpdated" : "2026-06-16T02:46:45.498", "ingestTimestamp" : "2026-06-14T21:31:19.547", "mongoId" : "6a16291c58b93c861e95a08c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Data analysis", "Data engineering", "Business intelligence", "Data science", "Organizational skills", "Utility data", "MS Office", "Power BI", "Tableau" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 786.07947, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.92 }, { "id" : "6a305649f292fd229cf26d9b", "title" : "Manipulation Robotics Embedded SDE", "company" : "Amazon.com Services LLC", "industry" : "Software Development, subsidiaries", "salary" : { "min" : 143700.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "North Reading, Massachusetts, USA", "locations" : [ "North Reading, Massachusetts, USA" ], "timestamp" : "2026-06-16T06:15:07.950", "fingerprint" : "bbf5ee3d4a5f4f83f3690c490c684393d887c816517ee62e344ec8f962ffd018", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448900/apply", "externalId" : "5aa38c0f-5054-414e-aaff-89b4f5e9654e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "North Reading", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.5750939,-71.0786653" } ], "locationText" : "North Reading, Massachusetts, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Join the brightest minds in robotics developing the next generation of manipulation robots! This fast-moving team is creating a game changing new product for accelerating robotics. it has a strong ownership culture and the urgency of a team that knows it's building something that hasn't been done before. You'll own the embedded software organization for a product that is a critical priority for Amazon Robotics — and you'll be expected to move fast, make selections with incomplete information, and raise the bar continuously. You'll have the autonomy to shape the technical direction, the accountability to deliver it, and the resources of Amazon behind you. About the Role Join the brightest minds in robotics developing the next generation of manipulation robots! You will be part of a multidisciplinary team - a startup within Amazon - breaking new ground in how robots are designed, built and operated at scale. We hire smart and effective engineers and offer them a partner-oriented environment in which they can invent and innovate to improve the experience for our customers. We do this daily by solving complex technical and business problems with ingenuity and simplicity. As a part of the embedded team, you’ll build advanced control systems for manipulation robots. The stack includes custom hardware, embedded Linux, Computer Vision, Motor Control, WiFi, Safety, IO Protocols for attached devices and more. You will partner closely with scientists to design and implement modern controls algorithms. The software you create will be deployed at Amazon scale, powering large fleets. Key job responsibilities This brand new system is a critical priority for the Robotics organization. As a key member, you will: - Design and implement highly reliable embedded control systems - Develop and optimize real-time control algorithms. Validate designs through simulation and real-world testing - Partner with roboticists and researchers to implement novel capabilities - Drive system architecture choices that impact the future of Amazon’s warehouse robotics systems A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Bachelor’s/Masters in Robotics, Computer Engineering or equivalent - Experience building systems combining hardware and software especially in robotics, automotive, telecom or related fields. - Experience with real time motion control for high DOF systems. - Understanding of control systems theory Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, North Reading - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Manipulation Robotics Embedded SDE at Amazon.com Services LLC", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:59:36.825", "lastUpdated" : "2026-06-16T06:15:07.950", "ingestTimestamp" : "2026-06-15T21:59:36.825", "mongoId" : "6a305649f292fd229cf26d9b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448900/apply", "salaryAnnualMin" : 143700, "salaryAnnualMax" : 194400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 756.44543, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cdc5d74d8ee00a0a53f41", "title" : "Accounting and Information Systems Auditor", "industry" : "Banking", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Accounting and Information Systems Auditor in Kingsport, United States, adjusted for mid-seniority and the technology industry." }, "location" : "Kingsport, TN", "locations" : [ "Kingsport, TN" ], "certifications" : [ "CISA", "CPA" ], "timestamp" : "2026-06-15T09:22:26.966", "fingerprint" : "98b3b8085ab92b5b358c486cd8aced616787760f2a637e76ae2d2be61234f0de", "source" : "jazzhr", "language" : "en", "externalId" : "W3upTTQkRa", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kingsport", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.5502380,-82.5594293" } ], "locationText" : "Kingsport, Tennessee, United States", "technicalSkills" : "SQL, Excel, Data analysis", "professionalSkills" : [ "Financial reporting", "Internal controls", "Risk assessment" ], "hardSkillsList" : [ "Accounting principles", "Information systems", "Audit procedures" ], "hardSkills" : [ { "name" : "Accounting principles", "level" : "intermediate" }, { "name" : "Information systems", "level" : "intermediate" }, { "name" : "Audit procedures", "level" : "intermediate" } ], "majorSkills" : "Accounting, Information Systems, Auditing", "majorSkillsList" : [ "Accounting", "Information Systems", "Auditing" ], "coreResponsibilities" : "Perform financial statement audits, Evaluate internal controls, Test information systems, Identify control deficiencies, Recommend remediation plans, Document audit findings, Prepare audit reports, Collaborate with finance teams", "teamCollaboration" : "Finance teams; IT teams", "domainKnowledge" : "SOX; GAAP; ITGC", "domainList" : [ "sox", "gaap", "itgc" ], "domainSpecificKnowledge" : [ "SOX", "GAAP", "ITGC" ], "toolProficiency" : [ "SAP", "Oracle", "Workday" ], "communicationSkills" : "Audit reports; Findings presentation", "documentationSkills" : "Audit documentation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Ensure compliance; Improve control environment", "qualificationsBasic" : "5+ years accounting experience, 3+ years information systems audit experience", "qualificationsPreferred" : "CISA certification preferred, CPA certification preferred, Master's degree preferred", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Accounting and Information Systems Auditor. Skills: Accounting, Information Systems, Auditing. Perform financial statement audits. Evaluate internal controls", "createdAt" : "2026-06-14T06:30:40.469", "lastUpdated" : "2026-06-15T09:22:26.966", "ingestTimestamp" : "2026-06-14T06:30:40.469", "mongoId" : "6a2cdc5d74d8ee00a0a53f41", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Accounting principles", "Information systems", "Audit procedures", "Accounting", "Information Systems", "Auditing", "Financial reporting", "Internal controls", "Risk assessment", "SOX", "GAAP", "ITGC", "CISA", "CPA", "SAP", "Oracle", "Workday" ], "skillCount" : 17, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "_score" : 743.477, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.9 }, { "id" : "6a191e7758b93c861e39f773", "title" : "Handling Engineer", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 275000.0, "max" : 450000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Automotive Handling Engineer in Beijing, China, adjusted for mid-seniority and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "timestamp" : "2026-06-16T03:41:12.486", "fingerprint" : "214c510f047e304a4be830b88dc531d372eec9adbe74843d4d14fbbd9e858041", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=895025", "externalId" : "895025", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "minimumEducation" : "Bachelor's", "technicalSkills" : "Chassis systems, Vehicle architecture, Communication systems", "professionalSkills" : [ "System integration", "Requirement definition", "Functional strategies", "Component development", "Root cause analysis", "System performance evaluation" ], "hardSkillsList" : [ "ESP/EPS integration", "Vehicle testing", "Measurement evaluation", "Test setup calibration", "Test system usage" ], "softSkillsList" : [ "Teamwork spirit", "Planning skills", "Organization skills", "Self-responsible working attitude" ], "hardSkills" : [ { "name" : "ESP/EPS integration", "level" : "intermediate" }, { "name" : "Vehicle testing", "level" : "intermediate" }, { "name" : "Measurement evaluation", "level" : "intermediate" }, { "name" : "Test setup calibration", "level" : "intermediate" }, { "name" : "Test system usage", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Teamwork spirit" }, { "name" : "Planning skills" }, { "name" : "Organization skills" }, { "name" : "Self-responsible working attitude" } ], "majorSkills" : "Ride & Handling, Vehicle integration, Chassis systems", "majorSkillsList" : [ "Ride & Handling", "Vehicle integration", "Chassis systems" ], "coreResponsibilities" : "Accountable for China-specific Ride & Handling system integration, Ensure target achievement at overall vehicle level, Derive and implement China specific requirements, Cooperate with other RD departments, Communicate and drive implementation of CHN specifics, Define and align R&H performance targets, Develop respective measures, Develop and adjust R&H functional testing, Identify harming and customer related parameters, Define and implement CHN requirements, Align R&H testing procedures, Drive component development, Ensure timely implementation of local optimizations, Plan and conduct R&H testing in China, Coordinate handling development, Plan required vehicles, Organize R&H release, Prepare vehicle, parts and resources, Coordinate tests on test benches, Conduct R&H tests and measurements, Report testing progress, Document issue findings, Reproduce issues, Support further analysis, Report updated failure solving status", "teamCollaboration" : "Cooperation with RD departments; Cooperation with RD and supplier; Project and function integration groups; China Requirement Working Groups", "projectManagementSkills" : [ "Project plan", "MDS process" ], "domainKnowledge" : "Ride & Handling systems; Chassis systems; Vehicle development; Vehicle architecture; Measurement systems", "domainList" : [ "ride-handling-systems", "chassis-systems", "vehicle-development", "vehicle-architecture", "measurement-systems" ], "domainSpecificKnowledge" : [ "Ride & Handling systems", "Chassis systems", "Vehicle development", "Vehicle architecture", "Measurement systems" ], "toolProficiency" : [ "MS Office", "PowerPoint", "Excel", "Word" ], "communicationSkills" : "Presentation skills", "documentationSkills" : "Documentation of issue findings; Concept&Spec-Books", "problemSolvingSkills" : "Issue detection; Root cause analysis; System performance evaluation", "specialRequirements" : "Domestic and international travel", "outcomesObjectives" : "Ensure target achievement; Meet major use cases in China", "qualificationsBasic" : "University degree in mechanical, automotive engineering or similar engineering qualification, Excellent driving and evaluation skills, Experience in vehicle development and chassis systems, Experience in R&H testing, development or integration, Fluent English and Chinese", "qualificationsPreferred" : "Experience with Chassis Tuning, ESP/EPS Integration testing background, Experience in international development environments, Working experience in international company, Longer stay in Germany or abroad, German language knowhow", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objectives: The R&H development Engineer is accountable for China-specific Ride & Handling system integration across vehicle projects, ensuring target achievement at overall vehicle level (performance, robustness, customer perception) in alignment with global Mercedes-Benz standards. Experience with Chassis Tuning and/or ESP/EPS Integration testing background preferred. Derive and implement China specific requirements, based on own experience and in cooperation with other RD departments. Communicate and drive the implementation of the CHN specifics and uniques in vehicle projects (via project and function integration groups) and functional and module strategies (China Requirement Working Groups, collaboration with RD in the VF* and SK FV). Define and align R&H performance targets in the corresponding committees. Develop respective measures together with relevant RD functions. Development and adjustment of R&H functional testing to China specific conditions and requirement. Identify most harming and customer related parameters based on field researches, customer observation and feedback. Define and implement the CHN requirements with the Concept&Spec-Books. Develop and align R&H testing procedures to meet major use cases in China. Drive component development according to the new function targets. Ensure the timely implementation of the local optimizations. Plan and conduct R&H testing in China Coordinate handling development within RD and supplier. Plan required vehicles to implement testing and organize R&H release in accordance with project plan or MDS process. Vehicle, parts and resources preparation. Coordinate tests on test benches of GRC and 3 rd parties. Conduct R&H tests and measurements according to MB standards. Regularly report testing progress. Issue finding, tracking and documentation Proper documentation of any issue findings in systems accordingly. Reproduce issues and support further analysis. Report the updated failure solving status at issue tracking platforms. Qualification: Education University degree in mechanical, automotive engineering or similar engineering qualification Experience Excellent driving and evaluation skills with focus on Ride & Handling on mue high and mue low conditions. Experience in vehicle development and chassis systems, ideally in OEM or Tier‑1 environment Initial to advanced experience in R&H testing, development or integration Experience in international development environments is an advantage Working experience in international company is a plus. Longer stay in Germany or abroad (Business or education) is an advantage. Specific Knowledge Deep understanding of chassis systems, component interactions and vehicle Knowledge of vehicle architecture & communication systems. Experience with handling objective and subjective measurement/evaluation. Know how about setup, calibration and usage of measurement sytems. Capable of evaluating test vehicles regarding R&H behaviour in extreme driving conditions. Sensitive for issue detection, root cause analysis and system performance evaluation. Teamwork spirit with excellent communication, interpersonal and presentation skills. Strong planning and organization skills. Self-responsible working attitude and initiative. Advanced MS Office skills in PowerPoint, Excel and Word. Willingness for domestic and international travel. Fluent English and Chinese (verbal, writing and reading) is mandatory; German is an advantage. German language knowhow is an advantage. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Handling Engineer at Mercedes-Benz Group China Ltd.. Skills: Ride & Handling, Vehicle integration, Chassis systems. Accountable for China-specific Ride & Handling system integration. 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ABOUT US Seccl is the Octopus-owned embedded investment platform that’s on a mission to helping more people to invest – and invest well. We’re B-Corp certified with an amazing product-market fit, impressive early traction and the potential to transform an outdated industry, for the better. We've been growing fast and will scale even faster over the next few years. We’re also proud to be part of Octopus, the £multi billion group that's on a mission to breathe new life into broken industries, through companies like Octopus Energy, Octopus Investments and Octopus Money. Check out the Seccl website https://seccl.tech/ for the latest on our products and our mission https://seccl.tech/about/ to shape the future of investments. THE ROLE Looking to start or build your career in information security and data protection? We’re looking for an Information security and data protection analyst to join our Governance, Risk and Compliance team. You’ll report into our Head of Information security and data protection officer, who’ll support your development and help you build your knowledge as you grow into the role. You’ll be part of our 2nd Line of Defence team, helping Seccl protect its people, customers and operations. You don’t need to come with lots of technical experience. What matters most is that you’re curious, proactive, a strong communicator and keen to learn. Over time, you’ll develop valuable knowledge across cybersecurity, privacy and operational resilience, with the opportunity to become a subject matter expert in how we manage information security and data protection at Seccl. ON A TYPICAL DAY YOU WILL... - Be a first point of contact for information security and data protection queries from across the business - Support with GDPR-related activity, including data subject access requests and data subject rights - Help with data protection impact assessments and legitimate interest assessments - Support the maintenance of our Information Security Management System - Help facilitate information security risk assessments - Advise teams on the appropriate use of personal data - Support information security and data protection governance - Keep an eye on regulatory developments, including GDPR and DORA - Help promote information security and data protection awareness across Seccl THIS ROLE’S FOR YOU IF... - You’re a strong communicator who enjoys building relationships and working with people from different backgrounds - You’re comfortable being a first point of contact and helping people find the right answer - You have a genuine interest in information security, data protection, resilience or technology - You’re proactive and happy to take initiative, rather than waiting to be told what to do - You’re curious, motivated and keen to learn - You enjoy solving problems, asking good questions and working with others - You’re open to learning technical concepts and applying them in a real business setting. We’ll support you with the training you need THIS ROLE ISN’T FOR YOU IF... - You rely on a lot of top-down direction. Here, you’ll have a lot of freedom and ownership of your role, and you’ll be expected to shape your own progression - You’re not comfortable working in a fast-paced environment. Our speed and scalability are what set us apart; you need to be able to act quickly and think on your feet - You struggle to follow through on ideas. We value people who do what they say they will. If you care about something, you have the freedom here to make it happen - You don’t like change. You’ll get on great here if you relish the ambiguity of rapid growth and are willing to embrace uncertainty WHAT’S IN IT FOR YOU… We offer a generous mix of benefits for the things that really matter to our people, including: \uD83D\uDCB0 A salary between £32,000 and £40,000 – dependant on experience + reviewed annually \uD83C\uDF34 27 days holiday + bank holidays (some can be flexible) + day off on your birthday + three days (full time) per year for Dependant leave \uD83D\uDC99 Two volunteering days per year \uD83C\uDF0E Option to work abroad for up to six weeks a year \uD83C\uDF1F Secclbrate - our recognition programme that offers a mix of flexible rewards including extra pay, additional holiday and increased learning budget \uD83C\uDFC5 Length of service award – one month paid sabbatical at eight years ✅ 6% employer pension contribution, and life assurance \uD83C\uDFE5 Private medical insurance with AXA Health \uD83D\uDC6A Enhanced Parental leave \uD83D\uDCBB MacBook and up to £500 home office set up budget \uD83D\uDCD6 £750 per person learning budget \uD83C\uDF3B Health and wellbeing initiatives including free therapy via Wellness Cloud, mental health support via Headspace \uD83C\uDF31 Strong financial wellbeing focus including access to Octopus Money https://octopusmoney.com/, Octopus Share Incentive Plan and will writing offering via Octopus Legacy \uD83C\uDF81 Perkbox https://www.perkbox.com/uk – Flexi-points giving you a range of discounts and perks including free weekly coffee, gym and retail discounts \uD83D\uDEB2 Access to initiatives like Cycle to Work and Octopus Electric Vehicle Leasing OUR CULTURE We're proud to put people first, creating a culture where we truly listen to what matters most to them. Our transparent and inclusive environment encourages diversity of thought, challenge and experimentation. Check out our Glassdoor https://www.glassdoor.co.uk/Reviews/Seccl-Reviews-E3185313.htm page for the latest reviews or our LinkedIn https://www.linkedin.com/company/11050304/admin/ for company updates and insights from the team. Interview process Interviewing is a two-way thing, and we want you to have the time and opportunity to get to know us, as much as we are getting to know you. Our interviews are conversational, so come with questions and be curious. In general, you can expect the interview process to look a bit like this, (following an initial chat with one of our Talent team): - First stage – one-hour competencies-based interview with the hiring manager and another member of the team - Second stage – 30 minute team focused interview with the Chief risk officer and Head of operational resilience ⏳ We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out and you should expect to hear back from us within one to two weeks of applying. \uD83C\uDF08 Our aim is to build a diverse and inclusive company of awesome people, with unique skills, passions and experiences. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If this sounds like your kind of thing, we encourage you to apply even if you don’t tick every box. We’d love to hear from you! ", "summaryDescription" : "Information security & data protection analyst at Seccl. Skills: Information security, Data protection, Regulatory compliance. Be first point of contact for queries. Support GDPR-related activity", "createdAt" : "2026-06-14T02:18:49.721", "lastUpdated" : "2026-06-15T09:16:08.561", "ingestTimestamp" : "2026-06-14T02:18:49.721", "mongoId" : "6a2cb0a474d8ee00a09da9a8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "GDPR", "DORA", "Communicator", "Curious", "Problem solving", "Information security", "Data protection", "Regulatory compliance", "Risk management", "Legal analysis", "Compliance oversight", "Cybersecurity", "Privacy", "Operational resilience" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 722.6167, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c90fe74d8ee00a0981b4e", "title" : "VP, Information Technology and Analytics", "company" : "Solari", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for VP, Information Technology and Analytics in the United States, adjusted for executive seniority and the healthcare industry." }, "location" : "Remote, United States", "locations" : [ "Remote", "United States" ], "timestamp" : "2026-06-15T09:17:24.802", "fingerprint" : "eaea3215154ab40727255ff024cad8a8373547ab62b85aae6aee8d4292334798", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://solari-inc.org/hiring?gh_jid=5157720007", "externalId" : "5157720007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "remoteFriendly" : true, "rawDescription" : "We are hiring in the following states: AZ, FL, NC, OH, OK, OR, PA, TX, GA The Job/What You’ll Do: The Vice President, Information Technology and Analytics provides strategic leadership for the organization’s enterprise technology and data initiatives, with oversight of Business Intelligence leadership and a focus on cloud transformation, data governance, AI enablement, cybersecurity alignment, and scalable digital infrastructure. This role partners with executive leadership to modernize technology capabilities, strengthen data-driven decision-making, and align enterprise systems and services with organizational strategy, operational efficiency, and long-term growth. Responsibilities: Provide executive leadership and oversight of IT Infrastructure, End User Services, Information Security, Application Development, Data, Business Intelligence, and Analytics functions through director-level leadership. Lead enterprise technology modernization initiatives, including cloud transformation, systems optimization, and digital service enhancements. Develop and maintain technology and analytics strategies, roadmaps, and priorities that support organizational goals, operational effectiveness, scalability, and long-term sustainability. Provide strategic oversight of Business Intelligence, analytics, reporting, and data science functions to support data-driven decision-making and business performance. Oversee technology and analytics budgets, vendor relationships, and contract performance to ensure responsible stewardship of organizational resources. Establish and maintain enterprise data governance, data quality, information management, and reporting standards. Build security and trust as foundational pillars of the organization's technology infrastructure and architecture, ensuring resilient and compliant operations. Lead technology risk management, cybersecurity readiness, incident response planning, disaster recovery, and business continuity strategies. Oversee enterprise technology architecture, data infrastructure, reporting platforms, and systems integration to ensure reliability, scalability, security, and operational effectiveness. Partner with executive leadership, operational leaders, and key business stakeholders to identify, prioritize, and implement technology and analytics initiatives that advance organizational objectives. Guide the evaluation, selection, implementation, and optimization of technology platforms, software solutions, equipment, and vendor-provided services. Collaborate with external partners, vendors, government agencies, technology providers, and other stakeholders to support business operations, service delivery, compliance requirements, and strategic initiatives. Develop and maintain project prioritization, portfolio management, and resource allocation processes to support effective execution of technology and analytics initiatives. Oversee enterprise technology operations and service delivery, promoting industry best practices, service excellence, and continuous improvement. Guide the adoption of emerging technologies, including artificial intelligence, automation, and advanced analytics solutions, in alignment with organizational priorities and business needs. Identify opportunities to improve operational efficiency, service delivery, and organizational effectiveness through technology innovation, systems integration, automation, and process improvement. Partner cross-functionally with Finance, Operations, Compliance, Human Resources, and other business leaders to support strategic initiatives and organizational growth. Monitor industry trends, regulatory requirements, and emerging best practices to inform technology strategy and organizational readiness. Lead, develop, and support high-performing technology and analytics teams by establishing clear expectations, fostering collaboration, and promoting professional growth. Perform other duties as assigned. Knowledge, Skills, Abilities: Collaborative, flexible and proactive leader of large teams; strategic vision and tactical implementation; innovative solutions; exceptional written, verbal and presentation skills; effective interface with Board of Directors, staff and community stakeholders; proven ability to positively impact business and culture; concurrent management of projects of all scales with accountability for deadlines, budget, communication, etc.; ability to read, comprehend and analyze large amounts of data and make data-driven decisions that prove to be impactful on the short and long-term. Ability to act professionally and maintains appropriate boundaries with clients and staff. Ability to report as scheduled to work, meetings, training, and job-related activities prepared and as scheduled. Ability to consistently demonstrate compassion and meet people with compassion; Effort, every interaction deserves my best effort; and Ownership, which drives the company's success. Maintains an open and accepting mindset by being an active learner, participating in discussions with others, trying new approaches and ideas, and being self-aware and self-reflective for continual personal, professional and leadership growth. Education CSM, CPBI certification, Preferred Masters Degree in Computer Science, Business, or related field, Required Experience/Training Specifications: Executive leadership with non-profit, preferably in the healthcare industry or human/social services; extensive industry knowledge as it relates to IT and BI systems. High level of experience in Project Management, technical translation, and innovation. Experience in leading remote teams. Working Conditions: While performing the job duties in the office or at a home office, the employee is frequently required to stand, walk, sit, and use hands; they must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Exposure to noise typical with office operations. Ability to hear and speak. Employees must maintain a stable and secure private home internet with a minimum of 50Mbps download and 5Mbps upload, and an average jitter less than 20% of latency. https://speed.cloudflare.com/ Who We Are & What We Offer: Solari is an award-winning nonprofit that operates a 24/7 crisis line serving statewide in Arizona, Oklahoma and Colorado. Our mission is to Inspire Hope through our talented and compassionate staff. Since 2007, Solari has been providing crisis contact center services and in that short time has helped thousands of individuals and families connect to the help they need. Additionally, in that short timeframe, Solari has grown to expand services to a peer-run Warm Line, Serious Mental Illness (SMI) determinations, mobile team dispatches, crisis transportation services, emergency room-based assessments, Department of Child Safety (DCS) rapid response and crisis stabilization services, telephone follow-up to those who need it, tragedy support lines and other in-kind services to the community. Friendly work environment Generous paid time off (PTO) Health benefits (Medical/Dental/Vision) that start the first of the month following the hire date Competitive compensation Convenient office locations and Hybrid Schedule On-site fitness room free to all employees (Tempe Office) Basic Life Insurance Voluntary Life, Spouse, Child Insurance Critical Illness w/free dependents Critical Illness Spouse Short Term & Long Term Disability- Starts first of the month after 90 days of employment 401K & 401K Roth - Starts first of the month after 90 days of employment United Pet Care LifeLock for identity theft LYRA EAP Program- 25 free sessions for mental health per family member Solari is proud to be an equal opportunity employer and does not unlawfully discriminate against any employee or applicant for employee per applicable federal, state, and local laws. At Solari, a diverse mix of highly talented, innovative, and dedicated people come together to make a lifetime impact on each of our Client's lives. All qualified applicants will receive equal consideration for employment. We are focused on equality and believe deeply in diversity of race, color, ancestry, age, veteran status, marital status, creed, religion, sex, gender, gender identity, sexual orientation, ethnicity, national origin, and other legally protected group status.", "summaryDescription" : "VP, Information Technology and Analytics at Solari", "postedDate" : "2026-06-14T03:42:35.769", "createdAt" : "2026-06-14T03:42:35.769", "lastUpdated" : "2026-06-15T09:17:24.802", "ingestTimestamp" : "2026-06-14T03:42:35.769", "mongoId" : "6a2c90fe74d8ee00a0981b4e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 400000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "VP", "dataQualityScore" : 0.8888889, "_score" : 719.8319, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f775", "title" : "Handling Engineer", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 250000.0, "max" : 450000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Automotive Handling Engineer in Beijing, China, adjusted for mid-seniority and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "timestamp" : "2026-06-15T09:29:59.361", "fingerprint" : "0a2d741fc5d45a0f935663b8f03ea20b551fad26f6927d3a2d529f2160aac311", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=894734", "externalId" : "894734", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "minimumEducation" : "Bachelor's", "technicalSkills" : "Chassis systems, Vehicle architecture, Communication systems", "professionalSkills" : [ "System integration", "Requirement definition", "Function development", "Component development", "Test planning", "Supplier coordination", "Issue tracking", "Root cause analysis", "System performance evaluation" ], "hardSkillsList" : [ "Objective measurement", "Subjective evaluation", "Measurement systems setup", "Measurement systems calibration", "Measurement systems usage" ], "softSkillsList" : [ "Teamwork spirit", "Presentation skills", "Planning skills", "Organization skills", "Self-responsible working attitude" ], "hardSkills" : [ { "name" : "Objective measurement", "level" : "intermediate" }, { "name" : "Subjective evaluation", "level" : "intermediate" }, { "name" : "Measurement systems setup", "level" : "intermediate" }, { "name" : "Measurement systems calibration", "level" : "intermediate" }, { "name" : "Measurement systems usage", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Teamwork spirit" }, { "name" : "Presentation skills" }, { "name" : "Planning skills" }, { "name" : "Organization skills" }, { "name" : "Self-responsible working attitude" } ], "majorSkills" : "Ride & Handling, Vehicle integration, Chassis systems", "majorSkillsList" : [ "Ride & Handling", "Vehicle integration", "Chassis systems" ], "coreResponsibilities" : "Accountable for China-specific Ride & Handling system integration, Ensure target achievement at overall vehicle level, Derive and implement China specific requirements, Communicate and drive implementation of CHN specifics, Define and align R&H performance targets, Develop respective measures, Develop and adjust R&H functional testing, Identify customer related parameters, Define and implement CHN requirements, Align R&H testing procedures, Drive component development, Ensure timely implementation of local optimizations, Plan and conduct R&H testing in China, Coordinate handling development, Plan required vehicles, Organize R&H release, Prepare vehicle, parts and resources, Coordinate tests on test benches, Conduct R&H tests and measurements, Report testing progress, Document issue findings, Reproduce issues, Support further analysis, Report updated failure solving status", "teamCollaboration" : "Cooperation with other RD departments; Project and function integration groups; China Requirement Working Groups; Collaboration with RD; Relevant RD functions; RD and supplier", "projectManagementSkills" : [ "Project plan", "MDS process" ], "domainKnowledge" : "Ride & Handling; Chassis systems; Vehicle architecture; Vehicle communication systems; Driving conditions", "domainList" : [ "ride-handling", "chassis-systems", "vehicle-architecture", "vehicle-communication-systems", "driving-conditions" ], "domainSpecificKnowledge" : [ "Ride & Handling", "Chassis systems", "Vehicle architecture", "Vehicle communication systems", "Driving conditions" ], "toolProficiency" : [ "MS Office", "PowerPoint", "Excel", "Word" ], "communicationSkills" : "Interpersonal skills; Presentation skills", "documentationSkills" : "Documentation of issue findings; Concept&Spec-Books", "problemSolvingSkills" : "Root cause analysis; System performance evaluation", "specialRequirements" : "Domestic and international travel", "outcomesObjectives" : "Ensure target achievement; Meet major use cases in China", "qualificationsBasic" : "University degree in mechanical, automotive engineering or similar engineering qualification, Excellent driving and evaluation skills, Experience in vehicle development and chassis systems, Experience in R&H testing, development or integration, Fluent English and Chinese", "qualificationsPreferred" : "Experience with Chassis Tuning, ESP/EPS Integration testing background preferred, Experience in international development environments, Working experience in international company, Longer stay in Germany or abroad, German language knowhow", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objectives: The R&H development Engineer is accountable for China-specific Ride & Handling system integration across vehicle projects, ensuring target achievement at overall vehicle level (performance, robustness, customer perception) in alignment with global Mercedes-Benz standards. Experience with Chassis Tuning and/or ESP/EPS Integration testing background preferred. Derive and implement China specific requirements, based on own experience and in cooperation with other RD departments. Communicate and drive the implementation of the CHN specifics and uniques in vehicle projects (via project and function integration groups) and functional and module strategies (China Requirement Working Groups, collaboration with RD in the VF* and SK FV). Define and align R&H performance targets in the corresponding committees. Develop respective measures together with relevant RD functions. Development and adjustment of R&H functional testing to China specific conditions and requirement. Identify most harming and customer related parameters based on field researches, customer observation and feedback. Define and implement the CHN requirements with the Concept&Spec-Books. Develop and align R&H testing procedures to meet major use cases in China. Drive component development according to the new function targets. Ensure the timely implementation of the local optimizations. Plan and conduct R&H testing in China Coordinate handling development within RD and supplier. Plan required vehicles to implement testing and organize R&H release in accordance with project plan or MDS process. Vehicle, parts and resources preparation. Coordinate tests on test benches of GRC and 3 rd parties. Conduct R&H tests and measurements according to MB standards. Regularly report testing progress. Issue finding, tracking and documentation Proper documentation of any issue findings in systems accordingly. Reproduce issues and support further analysis. Report the updated failure solving status at issue tracking platforms. Qualification: Education University degree in mechanical, automotive engineering or similar engineering qualification Experience Excellent driving and evaluation skills with focus on Ride & Handling on mue high and mue low conditions. Experience in vehicle development and chassis systems, ideally in OEM or Tier‑1 environment Initial to advanced experience in R&H testing, development or integration Experience in international development environments is an advantage Working experience in international company is a plus. Longer stay in Germany or abroad (Business or education) is an advantage. Specific Knowledge Deep understanding of chassis systems, component interactions and vehicle Knowledge of vehicle architecture & communication systems. Experience with handling objective and subjective measurement/evaluation. Know how about setup, calibration and usage of measurement sytems. Capable of evaluating test vehicles regarding R&H behaviour in extreme driving conditions. Sensitive for issue detection, root cause analysis and system performance evaluation. Teamwork spirit with excellent communication, interpersonal and presentation skills. Strong planning and organization skills. Self-responsible working attitude and initiative. Advanced MS Office skills in PowerPoint, Excel and Word. Willingness for domestic and international travel. Fluent English and Chinese (verbal, writing and reading) is mandatory; German is an advantage. German language knowhow is an advantage. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Handling Engineer at Mercedes-Benz Group China Ltd.. Skills: Ride & Handling, Vehicle integration, Chassis systems. Accountable for China-specific Ride & Handling system integration. Ensure target achievement at overall vehicle level", "createdAt" : "2026-06-14T06:21:13.754", "lastUpdated" : "2026-06-15T09:29:59.361", "ingestTimestamp" : "2026-06-14T06:21:13.754", "mongoId" : "6a191e7758b93c861e39f775", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Objective measurement", "Subjective evaluation", "Measurement systems setup", "Measurement systems calibration", "Measurement systems usage", "Teamwork spirit", "Presentation skills", "Planning skills", "Organization skills", "Self-responsible working attitude", "Ride & Handling", "Vehicle integration", "Chassis systems", "System integration", "Requirement definition", "Function development", "Component development", "Test planning", "Supplier coordination", "Issue tracking", "Root cause analysis", "System performance evaluation", "Project plan", "MDS process", "Vehicle architecture", "Vehicle communication systems", "Driving conditions", "MS Office", "PowerPoint", "Excel", "Word" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 713.5798, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a54a574d8ee00a060400a", "title" : "Director, Data & Information Architecture", "company" : "Pivot Bio", "salary" : { "min" : 165000.0, "max" : 206000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Minnetonka, Minnesota, United States", "locations" : [ "Minnetonka", "Minnesota", "United States" ], "timestamp" : "2026-06-14T20:23:13.306", "fingerprint" : "764970a95ee8b7da06d5f31223c15c27e32dc2e37eb8f9a0d127280832704c05", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.pivotbio.com/job-description?gh_jid=8586256002", "externalId" : "8586256002", "structuredLocations" : [ { "city" : "Minnetonka", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9405086,-93.4638936" } ], "locationText" : "Minnetonka, Minnesota, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 10, "experienceLevel" : "Director", "technicalSkills" : "Databricks, Snowflake, Lakehouse", "professionalSkills" : [ "Information Architecture", "Enterprise Data Modeling", "Domain design", "Data stewardship", "Semantic modeling", "Traceability frameworks", "Evidence systems" ], "hardSkillsList" : [ "Data modeling", "Master data management", "Metadata management", "Data lineage", "Data governance", "Data quality", "Reproducibility", "Data traceability" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Master data management", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Reproducibility", "level" : "intermediate" }, { "name" : "Data traceability", "level" : "intermediate" } ], "majorSkills" : "Information Architecture, Data Architecture, Data modeling, Data governance", "majorSkillsList" : [ "Information Architecture", "Data Architecture", "Data modeling", "Data governance" ], "coreResponsibilities" : "Own enterprise information architecture strategy, Own enterprise information architecture standards, Design canonical models, Design master data relationships, Design cross-domain integration patterns, Define semantic standards for observations, Define semantic standards for results, Define semantic standards for recommendations, Define semantic standards for outcomes, Define semantic standards for evidence, Lead logical data modeling efforts, Lead physical data modeling efforts, Establish metadata frameworks, Establish lineage frameworks, Establish versioning frameworks, Establish traceability frameworks, Partner with Product teams, Partner with Engineering teams, Partner with Data Science teams, Partner with Manufacturing teams, Partner with Commercial teams, Translate business requirements into data models, Review architecture designs, Validate implementations through hands-on modeling, Validate implementations through SQL analysis, Validate implementations through proof-of-concept work, Drive data governance practices, Focus on quality, Focus on stewardship, Focus on reproducibility, Focus on trust", "teamCollaboration" : "Partner with Product teams; Partner with Engineering teams; Partner with Data Science teams; Partner with Manufacturing teams; Partner with Commercial teams", "domainKnowledge" : "Soil microbiome; Product performance analysis; Scientific discovery; Operational execution; AI-enabled decision making; Regulated environments; Scientific environments; Manufacturing environments; Healthcare environments; Life sciences environments; Evidence-sensitive environments", "domainList" : [ "soil-microbiome", "product-performance-analysis", "scientific-discovery", "operational-execution", "ai-enabled-decision-making", "regulated-environments", "scientific-environments", "manufacturing-environments", "healthcare-environments", "life-sciences-environments", "evidence-sensitive-environments" ], "domainSpecificKnowledge" : [ "Soil microbiome", "Product performance analysis", "Scientific discovery", "Operational execution", "AI-enabled decision making", "Regulated environments", "Scientific environments", "Manufacturing environments", "Healthcare environments", "Life sciences environments", "Evidence-sensitive environments" ], "toolProficiency" : [ "Databricks", "Snowflake" ], "continuousLearning" : "Annual Training & Development support", "innovationCreativity" : "Innovative drive", "problemSolvingSkills" : "Decision making", "outcomesObjectives" : "Enable trustworthy AI; Enable analytics through semantic foundations", "qualificationsBasic" : "10+ years Data Architecture, 10+ years Information Architecture, 10+ years Enterprise Data Modeling, Deep expertise conceptual data modeling, Deep expertise logical data modeling, Deep expertise physical data modeling, Hands-on experience Databricks, Hands-on experience Snowflake, Hands-on experience modern Lakehouse platforms, SQL skills, Ability to validate models directly against data, Authorized to work in the United States", "qualificationsPreferred" : "Experience canonical modeling, Experience Data Vault, Experience metadata management, Experience MDM, Experience lineage, Experience in regulated environments, Experience in scientific environments, Experience in manufacturing environments, Experience in healthcare environments, Experience in life sciences environments, Experience in evidence-sensitive environments, Balance governance rigor with pragmatic execution", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Pivot Bio Fueled by an innovative drive and a deep understanding of the soil microbiome, Pivot Bio is pioneering game-changing advances in agriculture. Our products harness naturally occurring microbes to provide nutrients to crops, helping farmers improve yields while reducing environmental impact. Pivot Bio is seeking a Director, Data & Information Architecture to define and steward the enterprise information backbone connecting Product Innovation, Agronomy, Manufacturing, Commercial, and Digital products. This role is responsible for establishing canonical data models, domain boundaries, data contracts, lineage standards, and governance patterns that enable trustworthy, decision-grade data across the enterprise. Unlike traditional platform-focused data architecture roles, this position is centered on information architecture: designing durable semantic models, traceability frameworks, and evidence systems that support product performance analysis, scientific discovery, operational execution, and AI-enabled decision making. What Success Looks Like Define canonical enterprise data models spanning R&D, Agronomy, Manufacturing, Commercial, and Digital domains. Establish domain ownership, data contracts, lineage, and reconciliation standards. Design logical and physical Lakehouse models supporting Silver and Gold layers. Create traceable, reproducible evidence systems capable of supporting scientific and commercial decision making. Provide a phased architecture roadmap for modernization and migration of existing data assets. Enable trustworthy AI and analytics through strong semantic foundations. Key Responsibilities Own enterprise information architecture strategy and standards. Design canonical models, master data relationships, and cross-domain integration patterns. Define semantic standards for observations, results, recommendations, outcomes, and evidence. Lead logical and physical data modeling efforts within Databricks Lakehouse. Establish metadata, lineage, versioning, and traceability frameworks. Partner with Product, Engineering, Data Science, Manufacturing, and Commercial teams to translate business requirements into durable data models. Review architecture designs and validate implementations through hands-on modeling, SQL analysis, and proof-of-concept work. Drive data governance practices focused on quality, stewardship, reproducibility, and trust. Preferred Experience 10+ years in Data Architecture, Information Architecture, or Enterprise Data Modeling. Deep expertise in conceptual, logical, and physical data modeling. Experience with canonical modeling, Data Vault, metadata management, MDM, and lineage. Hands-on experience with Databricks, Snowflake, or modern Lakehouse platforms. Strong SQL skills and ability to validate models directly against data. Experience in regulated, scientific, manufacturing, healthcare, life sciences, or evidence-sensitive environments preferred. Demonstrated ability to balance governance rigor with pragmatic execution. What We Are Not Looking For This role is not primarily a cloud infrastructure architect, integration engineer, or BI/reporting architect position. Success requires deep information architecture capability, including semantic modeling, domain design, lineage, traceability, and enterprise data stewardship. Must be authorized to work in the United States. What We Offer: Incentive Bonus Plan Competitive package in a disruptive startup Stock options Health/Dental/Vision insurance with employer-paid premiums Life, Short-Term and Long-Term Disability policies Employee Assistance Program with free referrals and discounts 401(k) plan, 3% Match Commuter benefits Annual Training & Development support Flexible vacation policy with a generous holiday schedule Exciting opportunity to work with a talented and fun team #LI-Onsite Hiring Compensation Range $165,000—$206,000 USD", "summaryDescription" : "Director, Data & Information Architecture at Pivot Bio. Skills: Information Architecture, Data Architecture, Data modeling, Data governance. Own enterprise information architecture strategy. Own enterprise information architecture standards", "postedDate" : "2026-06-11T19:53:11.889", "createdAt" : "2026-06-11T19:53:11.889", "lastUpdated" : "2026-06-14T20:23:13.306", "ingestTimestamp" : "2026-06-11T19:53:11.889", "mongoId" : "6a2a54a574d8ee00a060400a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 206000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Master data management", "Metadata management", "Data lineage", "Data governance", "Data quality", "Reproducibility", "Data traceability", "Information Architecture", "Data Architecture", "Enterprise Data Modeling", "Domain design", "Data stewardship", "Semantic modeling", "Traceability frameworks", "Evidence systems", "Soil microbiome", "Product performance analysis", "Scientific discovery", "Operational execution", "AI-enabled decision making", "Regulated environments", "Scientific environments", "Manufacturing environments", "Healthcare environments", "Life sciences environments", "Evidence-sensitive environments", "Databricks", "Snowflake" ], "skillCount" : 29, "jobCategory" : "other", "jobSubcategory" : "it", "dataQualityScore" : 1.0, "_score" : 687.5196, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2abe1f74d8ee00a06eca30", "title" : "Information & Application Developer (Entry Level and Associate)", "company" : "Boeing", "salary" : { "min" : 70550.0, "max" : 95450.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "USA - North Charleston, SC", "locations" : [ "USA - North Charleston, SC", "United States of America" ], "timestamp" : "2026-06-14T19:26:35.948", "fingerprint" : "78bbddde7b0b08393e2481d92b1228c13f6a88d9d449348fbd66336009707168", "source" : "workday", "language" : "en", "applyUrl" : "https://boeing.wd1.myworkdayjobs.com/external_subsidiary/job/USA---North-Charleston-SC/Information---Application-Developer--Entry-Level-and-Associate-_JR2026506648", "externalId" : "JR2026506648", "locationPoint" : "32.85462,-79.97481", "structuredLocations" : [ { "city" : "North Charleston", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.8546197,-79.9748103" } ], "locationText" : "North Charleston, South Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, HTML, SQL, JavaScript, React", "professionalSkills" : [ "Data analysis", "Application development", "Data visualization" ], "hardSkillsList" : [ "Data access", "Data processing", "Database objects" ], "hardSkills" : [ { "name" : "Data access", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Database objects", "level" : "intermediate" } ], "majorSkills" : "Application development, Data analysis, Power BI reports", "majorSkillsList" : [ "Application development", "Data analysis", "Power BI reports" ], "coreResponsibilities" : "Gather and evaluate end user requirements, Analyze data from multiple sources, Assist in writing and maintaining code, Automate data access, Automate data processing, Construct database objects, Create Power BI reports, Maintain Power BI dashboards, Design computing applications, Program computing applications, Test computing applications, Maintain computing applications, Troubleshoot programming issues, Troubleshoot application issues, Apply compliance requirements, Ensure application security, Ensure application compliance, Review system performance, Recommend improvements", "teamCollaboration" : "Collaborate with team members", "domainKnowledge" : "Boeing ESATS; Application Manager compliance", "domainList" : [ "boeing-esats", "application-manager-compliance" ], "domainSpecificKnowledge" : [ "Boeing ESATS", "Application Manager compliance" ], "toolProficiency" : [ "Power BI", "Git" ], "problemSolvingSkills" : "Analyze data; Troubleshoot issues", "specialRequirements" : "Work onsite, U.S. Person required", "outcomesObjectives" : "Enhance EDC services", "qualificationsBasic" : "1+ years web application development or data analysis, Understanding of relational databases, Familiarity with Power BI or data visualization tools, Basic experience with Python, Understanding of HTML and web technologies", "qualificationsPreferred" : "Bachelor's degree in computer science, engineering, mathematics, or physics, Hands-on experience with SQL, Experience with JavaScript programming and frameworks, Familiarity with data reporting and performance metrics, Hands-on experience with Git", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Information & Application Developer (Entry Level and Associate) **Company:** The Boeing Company The Boeing South Carolina Engineering Design Center (BSC EDC) has an exciting opportunity for an**Information & Application Developer (Entry Level and Associate)**. **_Position Overview:_** The BSC EDC is a multi-functional organization focused on supporting the growth and development of the BSC engineering community. In this role, you will assist in maintaining and improving existing websites and applications, as well as contribute to the design and implementation of new tools. You will work closely with end users to gather feedback and help implement improvements. This position offers a valuable opportunity to learn more about software engineering practices, as well as Boeing ESATS and Application Manager compliance requirements, supporting efforts to ensure all applications meet these standards. Additionally, you will develop skills in analyzing and utilizing data from multiple sources to help enhance EDC services. **_Primary Responsibilities:_** * Gather and evaluate end user requirements to improve applications. * Analyze data from multiple sources, including SQL databases, to support decision-making and enhance services. * Assist in writing and maintaining code to automate data access, processing, and analysis; assist in constructing database objects. * Create and maintain Power BI reports and dashboards to visualize data and provide insights. * Design, program, test, and maintain computing applications under guidance. * Troubleshoot and resolve basic programming or application issues. * Learn and apply Boeing ESATS and Application Manager compliance requirements to ensure application security and compliance. * Collaborate with team members to review system performance and recommend improvements. **_Work Authorization:_** This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the North Charleston, SC location. **_Basic Qualifications:_** * 1+ years of experience or relevant coursework in web application development or data analysis. * Understanding of relational databases. * Familiarity with Power BI or other data visualization tools. * Basic experience with Python. * Understanding of HTML and basic web technologies. **_Preferred Qualifications:_** * Bachelor's degree from an accredited course of study, in computer science, engineering, mathematics, or physics. * Desire to be part of the BSC Engineering community. * Hands-on experience with SQL, preferably PostgreSQL and/or Microsoft SQL. * Experience with JavaScript programming and frameworks like React. * Familiarity with data reporting and performance metrics. * Hands-on experience with Git and other industry standard development tools. **_Conflict of Interest:_** Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process. **_Drug Free Workplace:_** Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies _._ **_Union:_** This is not a union-represented position. **_Pay and Benefits:_** At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. **Pay is based upon candidate experience and qualifications, as well as market and business considerations.** ** _Summary Pay Range_** _:_ * Entry-Level (Level 1): $70,550 - $95,450 * Associate (Level 2): $86,700 - $117,300 **Language Requirements:** Not Applicable **Education:** Not Applicable **Relocation:** This position offers relocation based on candidate eligibility. **Export Control Requirement:** This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. **Safety Sensitive:** This is not a Safety Sensitive Position. **Security Clearance:** This position does not require a Security Clearance. **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Shift 1 (United States of America) **Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud** \\- [Recruitment Fraud Warning](http://www.boeing.com/careers/recruitment-fraud-warning.page) Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. [EEO is the law](http://www.boeing.com/resources/boeingdotcom/careers/footer/EEOIsTheLawPoster.pdf) [Boeing EEO Policy](https://tbcdn.talentbrew.com/company/185/v1_0/img/2018_Policy_Statement.pdf) [Request an Accommodation](http://www.boeing.com/careers/request-accommodation.page) [Applicant Privacy](http://www.boeing.com/careers/privacy-statement.page) **Boeing Participates in E – Verify** * [E-Verify (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterEnglish.pdf) * [E-Verify (Spanish) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterSpanish.pdf) **Right to Work Statement** * [Right to Work (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWEnglishversion.pdf) * [Right to Work (Spanish)](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWSpanishversion.pdf)", "summaryDescription" : "Information & Application Developer (Entry Level and Associate) at Boeing. Skills: Application development, Data analysis, Power BI reports. Gather and evaluate end user requirements. Analyze data from multiple sources", "postedDate" : "2026-06-12T04:01:39.267", "createdAt" : "2026-06-12T04:01:39.184", "lastUpdated" : "2026-06-14T19:26:35.948", "ingestTimestamp" : "2026-06-12T04:01:39.184", "mongoId" : "6a2abe1f74d8ee00a06eca30", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://boeing.wd1.myworkdayjobs.com/external_subsidiary/job/USA---North-Charleston-SC/Information---Application-Developer--Entry-Level-and-Associate-_JR2026506648", "salaryAnnualMin" : 70550, "salaryAnnualMax" : 95450, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data access", "Data processing", "Database objects", "Application development", "Data analysis", "Power BI reports", "Data visualization", "Boeing ESATS", "Application Manager compliance", "Power BI", "Git" ], "skillCount" : 11, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 672.67194, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca17574d8ee00a09a595a", "title" : "Research Scientist / Engineer - Dexterous Manipulation", "company" : "Rhoda AI", "industry" : "Research", "salary" : { "min" : 165000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Research Scientist/Engineer in Mountain View, CA, adjusted for the technology industry and company size." }, "location" : "Mountain View", "locations" : [ "Mountain View" ], "timestamp" : "2026-06-15T08:26:19.241", "fingerprint" : "f8db4f6f8b57728c6eecee984d9f13d5110881ec29d8f1267441707697c4de5f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/rhoda-ai/fd09bb34-0e42-48ea-b8ad-f4e7c10a5f81/application", "externalId" : "fd09bb34-0e42-48ea-b8ad-f4e7c10a5f81", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Robot learning, Imitation learning, RL, Diffusion-based policies", "professionalSkills" : [ "Physical reasoning", "System design" ], "hardSkillsList" : [ "Contact mechanics", "Grasp planning", "Tactile sensing" ], "hardSkills" : [ { "name" : "Contact mechanics", "level" : "intermediate" }, { "name" : "Grasp planning", "level" : "intermediate" }, { "name" : "Tactile sensing", "level" : "intermediate" } ], "majorSkills" : "Dexterous manipulation, Robot learning, Physical AI", "majorSkillsList" : [ "Dexterous manipulation", "Robot learning", "Physical AI" ], "coreResponsibilities" : "Research learning-based approaches, Develop learning-based approaches, Design training strategies, Design data collection protocols, Work on perception for manipulation, Build policies, Evaluate policies, Develop simulation environments, Develop benchmarks, Collaborate with hardware teams, Collaborate with perception teams, Collaborate with learning teams, Publish work, Present work", "teamCollaboration" : "Robot hardware teams; Perception teams; Learning teams; Robot learning teams; Systems teams", "domainKnowledge" : "robotics; ML; generalist robotics; dexterous manipulation; contact-rich tasks; fine-motor tasks; physical reasoning; multi-finger manipulation; tactile sensing; object pose estimation; spatial reasoning; sim-to-real gap; humanoid platform", "domainList" : [ "robotics", "ml", "generalist-robotics", "dexterous-manipulation", "contact-rich-tasks", "fine-motor-tasks", "physical-reasoning", "multi-finger-manipulation", "tactile-sensing", "object-pose-estimation", "spatial-reasoning", "sim-to-real-gap", "humanoid-platform" ], "domainSpecificKnowledge" : [ "robotics", "ML", "generalist robotics", "dexterous manipulation", "contact-rich tasks", "fine-motor tasks", "physical reasoning", "multi-finger manipulation", "tactile sensing", "object pose estimation", "spatial reasoning", "sim-to-real gap", "humanoid platform" ], "toolProficiency" : [ "MuJoCo", "Isaac Sim", "Genesis" ], "innovationCreativity" : "R&D projects", "problemSolvingSkills" : "Physical reasoning", "qualificationsBasic" : "Background in robot learning, Background in manipulation, Background in physical AI, Hands-on experience developing manipulation policies, Hands-on experience evaluating manipulation policies, Solid ML skills, Experience in imitation learning, Experience in RL, Experience in diffusion-based policies, Ability to work across the stack", "qualificationsPreferred" : "PhD in Robotics, PhD in ML, Publication record at ICRA, Publication record at CoRL, Publication record at RSS, Publication record at NeurIPS, Prior work on dexterous hands, Prior work on multi-finger manipulation, Prior work on contact-rich tasks, Experience with tactile sensors, Experience with force/torque feedback, Familiarity with MuJoCo, Familiarity with Isaac Sim, Familiarity with Genesis, Experience with skill libraries, Experience with language-conditioned manipulation, Experience with task parameterization", "workSiteFlexibility" : "Onsite", "rawDescription" : "At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for a Research Scientist or Research Engineer to advance dexterous manipulation — enabling our robots to perform contact-rich, fine-motor tasks that require precision, physical reasoning, and adaptability to novel objects and environments. What You'll Do - Research and develop learning-based approaches for dexterous and contact-rich manipulation tasks - Design training strategies and data collection protocols for fine-motor and multi-finger manipulation - Work on perception for manipulation: contact detection, tactile sensing, object pose estimation, and spatial reasoning - Build and evaluate policies that generalize to novel objects and unstructured environments - Develop simulation environments and benchmarks for dexterous manipulation research - Collaborate with robot hardware, perception, and learning teams to close the sim-to-real gap - Publish and present work at top-tier robotics and ML venues (especially valued for RS track) What We're Looking For - Strong background in robot learning, manipulation, or physical AI - Hands-on experience developing and evaluating manipulation policies on real hardware - Understanding of contact mechanics, grasp planning, or tactile sensing - Solid ML skills with experience in imitation learning, RL, or diffusion-based policies - Ability to work across the stack from simulation to real robot deployment Nice to Have (But Not Required) - PhD in Robotics, ML, or a related field - Publication record at ICRA, CoRL, RSS, NeurIPS, or related venues - Prior work on dexterous hands, multi-finger manipulation, or contact-rich tasks - Experience with tactile sensors or force/torque feedback in robot learning - Familiarity with simulation tools for manipulation (MuJoCo, Isaac Sim, Genesis) - Experience with skill libraries, language-conditioned manipulation, or task parameterization Why This Role - Push the frontier on one of the hardest open problems in robotics - Work with hardware and data resources that few research labs have access to - Direct path from research results to deployment on our humanoid platform - Tight collaboration across robot learning, hardware, and systems teams", "summaryDescription" : "Research Scientist / Engineer - Dexterous Manipulation at Rhoda AI. Skills: Dexterous manipulation, Robot learning, Physical AI. Research learning-based approaches. Develop learning-based approaches", "createdAt" : "2026-06-13T22:20:48.441", "lastUpdated" : "2026-06-15T08:26:19.241", "ingestTimestamp" : "2026-06-13T22:20:48.441", "mongoId" : "6a2ca17574d8ee00a09a595a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Contact mechanics", "Grasp planning", "Tactile sensing", "Dexterous manipulation", "Robot learning", "Physical AI", "Physical reasoning", "System design", "robotics", "ML", "generalist robotics", "dexterous manipulation", "contact-rich tasks", "fine-motor tasks", "physical reasoning", "multi-finger manipulation", "tactile sensing", "object pose estimation", "spatial reasoning", "sim-to-real gap", "humanoid platform", "MuJoCo", "Isaac Sim", "Genesis" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 665.0577, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a8a7974d8ee00a0682054", "title" : "Senior Command and Data Handling/Networking Subsystem Engineers", "company" : "Boeing", "salary" : { "min" : 182750.0, "max" : 247250.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "USA - El Segundo, CA", "locations" : [ "USA - El Segundo, CA", "United States of America" ], "timestamp" : "2026-06-12T20:59:53.127", "fingerprint" : "36ed8c4b3ab58793923df6aae2d722280fbb740f8da8e874754a1d39fb068a8d", "source" : "workday", "language" : "en", "applyUrl" : "https://boeing.wd1.myworkdayjobs.com/EXTERNAL_CAREERS/job/USA---El-Segundo-CA/Senior-Command-and-Data-Handling-Networking-Subsystem-Engineers---Space-Autonomy-Systems_JR2026511650-1", "externalId" : "JR2026511650", "locationPoint" : "33.91918,-118.41647", "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "TCP/IP, Routing, Switching, MIL-STD-1553, SpaceWire, CAN, LVDS, Ethernet, MATLAB, Python, VBA, IP", "professionalSkills" : [ "Systems design", "Systems integration", "Requirements definition", "Technology insertion", "Cybersecurity", "Information assurance" ], "hardSkillsList" : [ "Subsystem engineering", "Network protocols", "System modeling", "System simulation", "COMSEC design", "TRANSEC design", "Hardware design", "Hardware test", "Spacecraft integration", "Traffic analysis", "TM accuracy", "Sampling", "Command pacing", "Architecture design", "COMSEC implementation", "CNSSP-12 compliance", "Design reviews", "Process writing" ], "hardSkills" : [ { "name" : "Subsystem engineering", "level" : "intermediate" }, { "name" : "Network protocols", "level" : "intermediate" }, { "name" : "System modeling", "level" : "intermediate" }, { "name" : "System simulation", "level" : "intermediate" }, { "name" : "COMSEC design", "level" : "intermediate" }, { "name" : "TRANSEC design", "level" : "intermediate" }, { "name" : "Hardware design", "level" : "intermediate" }, { "name" : "Hardware test", "level" : "intermediate" }, { "name" : "Spacecraft integration", "level" : "intermediate" }, { "name" : "Traffic analysis", "level" : "intermediate" }, { "name" : "TM accuracy", "level" : "intermediate" }, { "name" : "Sampling", "level" : "intermediate" }, { "name" : "Command pacing", "level" : "intermediate" }, { "name" : "Architecture design", "level" : "intermediate" }, { "name" : "COMSEC implementation", "level" : "intermediate" }, { "name" : "CNSSP-12 compliance", "level" : "intermediate" }, { "name" : "Design reviews", "level" : "intermediate" }, { "name" : "Process writing", "level" : "intermediate" } ], "majorSkills" : "Networking Subsystem, Space Autonomy Systems, Satellite Network Systems", "majorSkillsList" : [ "Networking Subsystem", "Space Autonomy Systems", "Satellite Network Systems" ], "coreResponsibilities" : "Gather, define, and document system level requirements, Provide technical, cost, and schedule status, Participate and support with cost and schedule reduction, Develop and maintain comprehensive subsystem specifications, Work on subsystem-to-subsystem interface requirements, Manage C&DHN subsystem hardware SDRLs/CDRLs, Create and release subsystem level analyses, Perform Subsystem Architecture, Perform technology insertion, Assure COMSEC implementation and CNSSP-12 compliance, Prepare and present C&DHN subsystem design reviews, Input to Spacecraft Database, Input to FSW, Input to Flight ROPs, Define and maintain satellite C&DHN process writings", "teamCollaboration" : "Multidisciplinary teams; Management and experts; GNC subsystem engineering; Software engineering; COMSEC design; TRANSEC design; Electronic hardware design; Electronic hardware test; Spacecraft integration; End-to-end system engineering; Program SEIT interface", "projectManagementSkills" : [ "Cost reduction", "Schedule reduction" ], "domainKnowledge" : "Space Autonomy Systems; Satellite network systems; Aerospace systems; COMSEC; TRANSEC; CNSSP-12 compliance; Cybersecurity; Information assurance; Model-Based Systems Engineering; Satellite communication network", "domainList" : [ "space-autonomy-systems", "satellite-network-systems", "aerospace-systems", "comsec", "transec", "cnssp-12-compliance", "cybersecurity", "information-assurance", "model-based-systems-engineering", "satellite-communication-network" ], "domainSpecificKnowledge" : [ "Space Autonomy Systems", "Satellite network systems", "Aerospace systems", "COMSEC", "TRANSEC", "CNSSP-12 compliance", "Cybersecurity", "Information assurance", "Model-Based Systems Engineering", "Satellite communication network" ], "toolProficiency" : [ "SysML", "Cameo", "REA" ], "communicationSkills" : "Technical status; Design reviews", "documentationSkills" : "Requirements documentation; Subsystem specifications; Unit specifications; Interface requirements; Contract Data Requirements List; Process writings", "innovationCreativity" : "Technology insertion", "problemSolvingSkills" : "Resolve technical issues", "specialRequirements" : "Active U. S. Top Secret/SCI Security Clearance, Willing to travel 10%, U. S. Citizenship Required, Visa Sponsorship not offered", "outcomesObjectives" : "Ensure hardware and software are flight worthy", "qualificationsBasic" : "Active U. S. Top Secret/SCI Security Clearance, Bachelor of Science degree in Engineering, Engineering Technology, Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent, 5+ years of experience working with MIL-STD-1553, SpaceWire, CAN, LVDS or Ethernet, Minimum 10+ years of engineering experience, Familiar with networking principles including TCP/IP, routing, switching, and network protocols relevant to aerospace systems, Willing to travel 10% of the time domestically and internationally, U. S. Person as defined by 22 C. F. R. §120.62", "qualificationsPreferred" : "Bachelor’s Degree or higher in Software, Electrical, or Aerospace Engineering, Experience developing solutions to complex technical problems, Experience working with CCSDS and IP, Experience in MATLAB, Python, and VBA, understanding of network engineering concepts including network architecture design, network security, and network troubleshooting, Experience with network simulation and analysis tools, Familiarity with satellite communication network and protocols, Knowledge of cybersecurity best practices for networked embedded systems, Basic understanding of the Model-Based Systems Engineering (MBSE) principles and tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Senior Command and Data Handling/Networking Subsystem Engineers – Space Autonomy Systems **Company:** The Boeing Company **Boeing Defense, Space & Security** (BDS), Space Mission Systems is seeking a **Senior****Command and Data Handling/Networking Subsystem Engineer** to develop and manage **C &DHN **Subsystems for Boeing secured autonomous satellite network systems in **El Segundo, CA**. **C &DHN **Subsystem engineering assignments include requirements definition and flow down, systems design and analysis, systems integration, test, and verification. You will resolve technical issues and ensure hardware and software are flight worthy prior to delivery. Ability to work collaboratively in multidisciplinary teams is crucial. You will work with management and experts across multiple disciplines including GNC subsystem engineering, software engineering, Communications Security (**COMSEC**) design, Transmission Security**(TRANSEC)** design**,** electronic hardware design & test, spacecraft integration, and end-to-end system engineering. Foundational knowledge of networking principles including TCP/IP, routing, switching, and network protocols relevant to aerospace systems. Some familiarity with system modeling and simulation tools, including Model-Based Systems Engineering (MBSE) tools (e.g., SysML, Cameo) will be a plus. **Position Responsibilities:** * Gather, define, and document system level requirements to support flight control and mission or trajectory requirements definition * Provide technical, cost, and schedule status to program and function * Participate and support with cost and schedule reduction initiatives * Develop and maintain comprehensive subsystem specifications and unit specs with REA support * Work on subsystem-to-subsystem interface requirements and C&DHN subsystem hardware Subcontract/Contract Data Requirements List (SDRLs/CDRLs) * Create and release subsystem level analyses such as traffic analysis, TM accuracy, sampling, command pacing * Perform Subsystem Architecture (including Block Diagram) and technology insertion (including COMSEC Roadmap) * Assure COMSEC implementation and CNSSP-12 compliance including cybersecurity and information assurance * Prepare and present C&DHN subsystem design reviews (PDR, CDR, etc.) for customer and Program SEIT interface * Input to Spacecraft Database, FSW, and Flight ROPs * Define and maintain satellite **C &DHN **process writings (DMS guides) **This position is expected to be 100% onsite. The selected candidate will be required to work onsite the listed location.** **Basic Qualifications (Required Skills/ Experience):** * Active U.S. Top Secret/SCI Security Clearance * Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement * 5+ years of experience working with MIL-STD-1553, SpaceWire, CAN, LVDS or Ethernet * Minimum 10+ years of engineering experience * Familiar with networking principles including TCP/IP, routing, switching, and network protocols relevant to aerospace systems * Willing to travel 10% of the time domestically and internationally **Preferred Qualifications (Desired Skills/Experience):** * Bachelor’s Degree or higher in Software, Electrical, or Aerospace Engineering * Experience developing solutions to complex technical problems * Experience working with CCSDS and IP (Internet Protocol) * Experience in MATLAB, Python, and VBA * Strong understanding of network engineering concepts including network architecture design, network security, and network troubleshooting * Experience with network simulation and analysis tools * Familiarity with satellite communication network and protocols * Knowledge of cybersecurity best practices for networked embedded systems * Basic understanding of the Model-Based Systems Engineering (MBSE) principles and tools to support system design, analysis, and verification is a plus **Conflict of Interest:** Successful candidate for this job must satisfy the Company’s Conflict of Interest (COI) assessment process. **Typical Education/Experience:** Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. **Relocation:** This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. **Drug Free Workplace:** Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. **Pay and Benefits** : At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $182,750 - $247,250 **Language Requirements:** Not Applicable **Education:** Bachelor's Degree or Equivalent **Relocation:** This position offers relocation based on candidate eligibility. **Export Control Requirement:** This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. **Safety Sensitive:** This is not a Safety Sensitive Position. **Security Clearance:** This position requires an active U.S. Top Secret/SCI Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Shift 1 (United States of America) **Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud** \\- [Recruitment Fraud Warning](http://www.boeing.com/careers/recruitment-fraud-warning.page) Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. [EEO is the law](http://www.boeing.com/resources/boeingdotcom/careers/footer/EEOIsTheLawPoster.pdf) [Boeing EEO Policy](https://tbcdn.talentbrew.com/company/185/v1_0/img/2018_Policy_Statement.pdf) [Request an Accommodation](http://www.boeing.com/careers/request-accommodation.page) [Applicant Privacy](http://www.boeing.com/careers/privacy-statement.page) **Boeing Participates in E – Verify** * [E-Verify (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterEnglish.pdf) * [E-Verify (Spanish) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterSpanish.pdf) **Right to Work Statement** * [Right to Work (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWEnglishversion.pdf) * [Right to Work (Spanish)](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWSpanishversion.pdf)", "summaryDescription" : "Senior Command and Data Handling/Networking Subsystem Engineers at Boeing. Skills: Networking Subsystem, Space Autonomy Systems, Satellite Network Systems. Gather, define, and document system level requirements. Provide technical, cost, and schedule status", "postedDate" : "2026-06-10T16:49:33.874", "createdAt" : "2026-06-11T16:49:33.652", "lastUpdated" : "2026-06-12T20:59:53.127", "ingestTimestamp" : "2026-06-11T16:49:33.652", "mongoId" : "6a2a8a7974d8ee00a0682054", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://boeing.wd1.myworkdayjobs.com/EXTERNAL_CAREERS/job/USA---El-Segundo-CA/Senior-Command-and-Data-Handling-Networking-Subsystem-Engineers---Space-Autonomy-Systems_JR2026511650-1", "salaryAnnualMin" : 182750, "salaryAnnualMax" : 247250, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Subsystem engineering", "Network protocols", "System modeling", "System simulation", "COMSEC design", "TRANSEC design", "Hardware design", "Hardware test", "Spacecraft integration", "Traffic analysis", "TM accuracy", "Sampling", "Command pacing", "Architecture design", "COMSEC implementation", "CNSSP-12 compliance", "Design reviews", "Process writing", "Networking Subsystem", "Space Autonomy Systems", "Satellite Network Systems", "Systems design", "Systems integration", "Requirements definition", "Technology insertion", "Cybersecurity", "Information assurance", "Cost reduction", "Schedule reduction", "Satellite network systems", "Aerospace systems", "COMSEC", "TRANSEC", "Model-Based Systems Engineering", "Satellite communication network", "SysML", "Cameo", "REA" ], "skillCount" : 38, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 662.0134, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "68e0a7e5ce260f92cbf8ec2e", "title" : "Delivery Consultant - Data and Analytics, WWPS ProServe", "company" : "Amazon Web Services, Inc.", "industry" : "Project/Program/Product Management--Technical, Professional Services, Cloud Computing", "salary" : { "min" : 118200.0, "max" : 204300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T04:15:30.362", "fingerprint" : "c2cfce3de3111f43d1bc5b199b442e54572560278d06653fd7ec5899380a7b14", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3098918/apply", "externalId" : "4f5d1f59-1ee8-4e7d-b9af-86017ce71aea", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, EC2, ELB, RDS, Route53, S3", "professionalSkills" : [ "System design", "Migration strategies" ], "hardSkillsList" : [ "Cloud computing" ], "softSkillsList" : [ "Mentoring", "Training" ], "hardSkills" : [ { "name" : "Cloud computing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Training" } ], "majorSkills" : "Data and Analytics, AWS solutions", "majorSkillsList" : [ "Data and Analytics", "AWS solutions" ], "coreResponsibilities" : "Design AWS solutions, Implement AWS solutions, Manage AWS solutions, Provide technical guidance, Troubleshoot project delivery, Gather requirements, Propose migration strategies, Advise on industry trends, Advise on emerging technologies, Advise on innovative solutions, Lead implementation process, Ensure adherence to best practices, Optimize performance, Manage risks, Share knowledge, Create reusable artifacts", "teamCollaboration" : "Customer teams; AWS Partner Network", "domainKnowledge" : "Cloud computing", "domainList" : [ "cloud-computing" ], "domainSpecificKnowledge" : [ "Cloud computing" ], "continuousLearning" : "Mentoring; Training", "problemSolvingSkills" : "Troubleshooting", "outcomesObjectives" : "Meet technical requirements; Meet business objectives; Drive customer success", "qualificationsBasic" : "Knowledge of primary aws services, Experience implementing AWS services", "qualificationsPreferred" : "5+ years of IT implementation experience, Experience in cloud computing technologies, Experience leading design, development, deployment, Hands-on technology infrastructure experience, Hands-on network experience, Hands-on compute experience, Hands-on storage experience, Hands-on virtualization experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Knowledge of the primary aws services (ec2, elb, rds, route53 & s3) - Experience implementing AWS services in a variety of distributed computing environments Preferred Qualifications: - 5+ years of IT implementation experience - Experience and technical expertise (design and implementation) in cloud computing technologies - Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The Colorado base pay for this position ranges from $131,300/year up to $177,600/year. The National base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Delivery Consultant - Data and Analytics, WWPS ProServe at Amazon Web Services, Inc.. Skills: Data and Analytics, AWS solutions. Design AWS solutions. Implement AWS solutions", "postedDate" : "2026-06-13T12:19:14.926", "createdAt" : "2026-06-13T12:19:14.926", "lastUpdated" : "2026-06-15T04:15:30.362", "ingestTimestamp" : "2026-06-13T12:19:14.926", "mongoId" : "68e0a7e5ce260f92cbf8ec2e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3098918/apply", "salaryAnnualMin" : 118200, "salaryAnnualMax" : 204300, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cloud computing", "Mentoring", "Training", "Data and Analytics", "AWS solutions", "System design", "Migration strategies" ], "skillCount" : 7, "jobCategory" : "project-management", "dataQualityScore" : 0.8888889, "_score" : 648.8591, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca3b474d8ee00a09acfed", "title" : "Information Security Governance, Risk and Compliance Specialist", "company" : "GWI", "industry" : "Technology", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Information Security Governance, Risk and Compliance Specialist in London, UK, adjusted for mid-seniority level in the technology industry." }, "location" : "London, UK", "locations" : [ "London", "UK" ], "certifications" : [ "ISO 27001" ], "timestamp" : "2026-06-16T01:21:58.151", "fingerprint" : "cd07cf418edbf652c929a8e53d688e074fbcb54e0e59e9dd5d49e6244eee6ace", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/globalwebindex/jobs/8548407002", "externalId" : "8548407002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid-Senior", "professionalSkills" : [ "Risk management", "Compliance oversight", "Legal analysis", "Vendor risk management", "Client security assessments", "Security awareness training" ], "hardSkillsList" : [ "ISO 27001", "NIST frameworks", "Security policies", "Security procedures", "Cloud security" ], "hardSkills" : [ { "name" : "ISO 27001", "level" : "intermediate" }, { "name" : "NIST frameworks", "level" : "intermediate" }, { "name" : "Security policies", "level" : "intermediate" }, { "name" : "Security procedures", "level" : "intermediate" }, { "name" : "Cloud security", "level" : "intermediate" } ], "majorSkills" : "Information Security GRC, Compliance posture, Vendor risk management, Client security", "majorSkillsList" : [ "Information Security GRC", "Compliance posture", "Vendor risk management", "Client security" ], "coreResponsibilities" : "Own and maintain ISO 27001 certification, Maintain compliance across security frameworks, Develop information security policies, Implement information security policies, Maintain information security policies, Develop security procedures, Implement security procedures, Maintain security procedures, Lead vendor risk management, Lead client security assessments, Respond to client security questionnaires, Manage client onboarding requirements, Build security trust portal, Maintain security trust portal, Drive security awareness, Promote GRC culture", "teamCollaboration" : "Information Security teams; Product teams; Technology teams; Legal team", "domainKnowledge" : "Information security frameworks; SaaS environments; AI environments; Cloud security best practices", "domainList" : [ "information-security-frameworks", "saas-environments", "ai-environments", "cloud-security-best-practices" ], "domainSpecificKnowledge" : [ "Information security frameworks", "SaaS environments", "AI environments", "Cloud security best practices" ], "toolProficiency" : [ "Drata", "Vanta" ], "communicationSkills" : "Translate GRC topics; Internal guidance; Keep business informed", "continuousLearning" : "Accredited learning; Leadership development", "qualificationsBasic" : "3-5 years in information security compliance role, Develop and maintain security policies, Conduct vendor security assessments, Manage client security onboarding requirements, Implement and manage cloud security best practices", "qualificationsPreferred" : "Familiarity with Drata or Vanta, ISO 27001 certification", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Location: London, UK Weekly office requirement: Hybrid – 2 days per week Employment type: Permanent Seniority level: Mid-Senior At GWI we're always looking for extraordinary people who thrive on making an extraordinary impact. Right now we're looking for an Information Security GRC Specialist to play a key role in our Legal team in London. If that's you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. Sounds great, what will I be doing? \uD83E\uDD14 As our Information Security GRC Specialist you'll play a pivotal role in shaping the future of security compliance at GWI. Reporting into our General Counsel and working closely with our Information Security, Product, and Technology teams, you'll own our compliance posture across security frameworks, vendor risk, and client-facing security requirements — while building a security-conscious culture across the business. A few things you'll be responsible for: \uD83D\uDC49 Own and maintain GWI's ISO 27001 certification and compliance across relevant security frameworks, keeping our posture sharp as the threat landscape evolves. \uD83D\uDC49 Develop, implement, and maintain information security policies and procedures aligned with industry best practices. \uD83D\uDC49 Lead vendor risk management and client security assessments — including responding to client security questionnaires and onboarding requirements. \uD83D\uDC49 Build and maintain GWI's security trust portal, showcasing our credentials to clients and stakeholders using tools such as Drata or Vanta. \uD83D\uDC49 Drive security awareness across the business through training programmes and internal communications that promote a strong GRC culture. It's also fun; shaking things up is what working for GWI is all about. You'll need to be flexible, comfortable with continuous change, and working in a high-tempo environment. What do I need to bring with me? \uD83E\uDDF3 You'll need to be able to demonstrate the core skills this role requires. You don't have to tick all the boxes right away; the important thing is that you're willing to learn. Here's what the team will be looking for in you: \uD83D\uDC49 In-depth, practical experience obtaining and maintaining ISO 27001 certification, with solid knowledge of frameworks such as NIST — typically 3–5 years in an information security compliance role, though other experience levels will be considered. \uD83D\uDC49 Proven ability to develop and maintain security policies and procedures that align with industry best practice. \uD83D\uDC49 Experience conducting vendor security assessments and managing client security onboarding requirements, balancing risk against commercial objectives. \uD83D\uDC49 Hands-on experience building or maintaining a security trust portal; familiarity with tools such as Drata or Vanta is a plus. \uD83D\uDC49 Knowledge of SaaS and AI environments, with experience implementing and managing cloud security best practices. \uD83D\uDC49 Strong communication skills — able to translate complex GRC topics into clear internal guidance and keep the wider business informed and engaged on security matters. Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, and they're a big part of what we're looking for in you. What We Offer \uD83E\uDDD8 At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes: Time to recharge – 25 days’ annual leave, plus office closures over the holidays. Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support. Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success. Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget. Career growth – Accredited learning, leadership development, and global career mobility. Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving. Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked. Diversity, Equity & Inclusion \uD83E\uDEF6 Diversity is fundamental to who we are—both as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to ensure our workforce is as diverse and inclusive as the insights we provide to our clients. As a Disability Confident employer, we welcome applications from disabled candidates and are committed to providing all necessary adjustments during the hiring process. We also actively encourage applications from underrepresented and marginalized communities. At GWI, you will find a place where you can contribute meaningfully, grow professionally, and belong fully. #li-hybrid #LI-NIKOSSS1", "summaryDescription" : "Information Security Governance, Risk and Compliance Specialist at GWI. Skills: Information Security GRC, Compliance posture, Vendor risk management, Client security. Own and maintain ISO 27001 certification. Maintain compliance across security frameworks", "postedDate" : "2026-06-14T20:48:06.082", "createdAt" : "2026-06-14T20:48:06.082", "lastUpdated" : "2026-06-16T01:21:58.151", "ingestTimestamp" : "2026-06-14T20:48:06.082", "mongoId" : "6a2ca3b474d8ee00a09acfed", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "ISO 27001", "NIST frameworks", "Security policies", "Security procedures", "Cloud security", "Information Security GRC", "Compliance posture", "Vendor risk management", "Client security", "Risk management", "Compliance oversight", "Legal analysis", "Client security assessments", "Security awareness training", "Information security frameworks", "SaaS environments", "AI environments", "Cloud security best practices", "Drata", "Vanta" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 638.1832, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2e899674d8ee00a0de9e44", "title" : "Information security officer / Data Governance Manager (m/w/d)", "company" : "certania", "industry" : "Cybersecurity", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Information Security Officer / Data Governance Manager in Zorneding, Germany, adjusted for manager seniority and the technology industry." }, "location" : "Zorneding b. München, DE", "locations" : [ "Zorneding b. München", "DE" ], "certifications" : [ "TISAX Assessment Level 3" ], "timestamp" : "2026-06-16T01:04:03.987", "fingerprint" : "b5ce56acc4bffe6ec7932a7078ef3b7cfb65e6e85fb31ffd9280f456c1a41071", "source" : "personio", "language" : "de", "applyUrl" : "https://gwp.jobs.personio.de/job/2525078", "externalId" : "2525078", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zorneding", "state" : "Bavaria", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.0848806,11.8276735" } ], "locationText" : "Zorneding, Bavaria, Germany", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "technicalSkills" : "IT-Sicherheit, Data Governance, ISO/IEC 27001, TISAX, GDPR, DSGVO, ERP, CRM", "professionalSkills" : [ "Risk assessment", "Data quality", "Data management", "Data cataloging", "Data governance structures", "Access control", "Data consistency", "Information security" ], "hardSkillsList" : [ "Risk analysis", "Risk treatment", "Security tests", "Vulnerability analysis", "Incident management", "Data quality standards", "Data collection standards", "Data usage standards", "Data destruction standards", "Data consistency monitoring", "Security training", "Awareness measures" ], "hardSkills" : [ { "name" : "Risk analysis", "level" : "intermediate" }, { "name" : "Risk treatment", "level" : "intermediate" }, { "name" : "Security tests", "level" : "intermediate" }, { "name" : "Vulnerability analysis", "level" : "intermediate" }, { "name" : "Incident management", "level" : "intermediate" }, { "name" : "Data quality standards", "level" : "intermediate" }, { "name" : "Data collection standards", "level" : "intermediate" }, { "name" : "Data usage standards", "level" : "intermediate" }, { "name" : "Data destruction standards", "level" : "intermediate" }, { "name" : "Data consistency monitoring", "level" : "intermediate" }, { "name" : "Security training", "level" : "intermediate" }, { "name" : "Awareness measures", "level" : "intermediate" } ], "majorSkills" : "Information Security, Data Governance, ISMS, TISAX", "majorSkillsList" : [ "Information Security", "Data Governance", "ISMS", "TISAX" ], "coreResponsibilities" : "Pflege ISMS, Betrieb ISMS, Weiterentwicklung ISMS, Überwachung ISMS Anforderungen, Weiterentwicklung ISMS ISO/IEC 27001, Durchführung Schutzbedarfsfeststellungen, Durchführung Risikoanalysen, Durchführung Risikobehandlungen, Erstellung ISMS-Dokumentationen, Pflege ISMS-Dokumentationen, Weiterentwicklung ISMS-Dokumentationen, Planung interne Audits, Durchführung interne Audits, Planung externe Audits, Durchführung externe Audits, Ableitung Korrekturmaßnahmen, Umsetzung Korrekturmaßnahmen, Nachverfolgung Korrekturmaßnahmen, Ableitung Verbesserungsmaßnahmen, Umsetzung Verbesserungsmaßnahmen, Nachverfolgung Verbesserungsmaßnahmen, Zusammenarbeit IT, Planung Sicherheitstests, Bewertung Sicherheitstests, Planung Schwachstellenanalysen, Bewertung Schwachstellenanalysen, Unterstützung Behandlung Sicherheitsvorfällen, Aufbau Data Governance Rahmens, Implementierung Data Governance Rahmens, Festlegung Standards Datenqualität, Festlegung Standards Datenerfassung, Festlegung Standards Datenspeicherung, Festlegung Standards Datenutzung, Festlegung Standards Datenvernichtung, Identifizierung Datenbeständen, Dokumentation Datenbeständen, Katalogisierung Datenbeständen, Etablierung Data Governance Strukturen, Sicherstellung Einhaltung Datenschutzvorschriften, Sicherstellung Einhaltung Zugriffskontrollen, Überwachung Datenkonsistenz, Verbesserung Datenkonsistenz, Durchführung Schulungen, Durchführung Awareness-Maßnahmen, Beratung Fachabteilungen, Beratung Management, Regelmäßiges Reporting Management, Regelmäßiges Reporting Geschäftsführung", "teamCollaboration" : "Zusammenarbeit IT; Beratung Fachabteilungen; Beratung Management; Reporting Management; Reporting Geschäftsführung", "projectManagementSkills" : [ "Risikomanagement" ], "domainKnowledge" : "Informationssicherheit; IT-Sicherheit; Data Governance; ISMS; TISAX; ISO/IEC 27001; Datenschutzvorschriften; Datenarchitekturen; Data Warehousing; Data Management", "domainList" : [ "informationssicherheit", "it-sicherheit", "data-governance", "isms", "tisax", "iso-iec-27001", "datenschutzvorschriften", "datenarchitekturen", "data-warehousing", "data-management" ], "domainSpecificKnowledge" : [ "Informationssicherheit", "IT-Sicherheit", "Data Governance", "ISMS", "TISAX", "ISO/IEC 27001", "Datenschutzvorschriften", "Datenarchitekturen", "Data Warehousing", "Data Management" ], "toolProficiency" : [ "Data Dictionaries", "Business Glossaries" ], "communicationSkills" : "Kommunikationsstärke; Sicheres Auftreten", "documentationSkills" : "ISMS-Dokumentationen", "continuousLearning" : "Persönliche & fachliche Weiterentwicklung", "problemSolvingSkills" : "Analytische Arbeitsweise", "qualificationsBasic" : "Studium Informatik, IT-Sicherheit, Wirtschaftsinformatik, Mehrjährige praktische Erfahrungen Informationssicherheit, Sehr gute Kenntnisse TISAX, Erfahrungen ISMS ISO/IEC 27001, Sehr gute technische IT-Kenntnisse, Erfahrungen interne Audits", "qualificationsPreferred" : "TISAX Assessment Level 3, Kenntnisse Netzwerke, Kenntnisse IT-Infrastrukturen, Kenntnisse IT-Sicherheitsarchitekturen, Kenntnisse IT-Sicherheitsmaßnahmen, Erfahrungen Sicherheitstests, Erfahrungen Schwachstellenanalysen", "workSiteFlexibility" : "Flexible", "rawDescription" : "Wissen schafft Fortschritt Werde auch Du ein Teil unserer Wissens- & Können-Firma der Zukunft am Standort Zorneding bei München! Deine Aufgaben Pflege, Betrieb und Weiterentwicklung des bestehenden ISMS (TISAX-Systems (Assessment Level 3)) Überwachung der kontinuierlichen Erfüllung aller ISMS Anforderungen Weiterentwicklung des bestehenden ISMS zu ISO/IEC 27001 Durchführung von Schutzbedarfsfeststellungen, Risikoanalysen und Risikobehandlungen Erstellung, Pflege und Weiterentwicklung von ISMS-Dokumentationen Planung und Durchführung interner und externer Audits (TISAX & ISO 27001) Ableitung, Umsetzung und Nachverfolgung von Korrektur- und Verbesserungsmaßnahmen Enge Zusammenarbeit mit der IT zur Umsetzung technischer und organisatorischer ISMS Anforderungen Planung und Bewertung interner Sicherheitstests und Schwachstellenanalysen Unterstützung bei der Behandlung von Sicherheitsvorfällen (Incident Management) Aufbau und Implementierung eines unternehmensweiten Data Governance Rahmens Festlegung von Standards für Datenqualität, Datenerfassung, -speicherung, -nutzung und -vernichtung Identifizierung, Dokumentation und Katalogisierung von Datenbeständen, oft durch Data Dictionaries oder Business Glossaries Etablierung von Data Governance Strukturen (z.B. Data Stewards, Data Owner) Sicherstellung der Einhaltung gesetzlicher Datenschutzvorschriften (GDPR/DSGVO) und Zugriffskontrollen Überwachung und Verbesserung der Datenkonsistenz über verschiedene Systeme (z.B. ERP, CRM) hinweg Durchführung von Schulungen und Awareness-Maßnahmen zur Informationssicherheit Beratung von Fachabteilungen und Management in allen Fragen der Informationssicherheit Regelmäßiges Reporting an Management und Geschäftsführung Dein Profil Du hast ein abgeschlossenes Studium im Bereich Informatik, IT-Sicherheit, Wirtschaftsinformatik oder eine vergleichbare Ausbildung mit einschlägiger Berufserfahrung Du hast mehrjährige praktische Erfahrungen im Bereich Informationssicherheit / IT-Security / Data-Governance-Projekten oder in verwandten Bereichen Du hast sehr gute Kenntnisse und praktische Erfahrungen mit TISAX, idealerweise Assessment Level 3 Du hast Erfahrungen im Aufbau und Betrieb eines ISMS nach ISO/IEC 27001 Du hast sehr gute technische IT-Kenntnisse, z.B.: Netzwerke und IT-Infrastrukturen IT-Sicherheitsarchitekturen und -maßnahmen Du hast Erfahrungen mit internen Audits, Assessments oder Sicherheitstests Du hast eine strukturierte, analytische und selbstständige Arbeitsweise Du besitzt ein hohes Verantwortungsbewusstsein und Qualitätsanspruch Du hast eine gute Kommunikationsstärke und ein sicheres Auftreten gegenüber IT, Fachabteilungen und Auditoren Du hast die Fähigkeit, technische und organisatorische Anforderungen pragmatisch zu verbinden Du hast tiefes Verständnis von Datenarchitekturen, Data Warehousing, Data Management und einschlägigen regulatorischen Anforderungen Unsere Benefits Persönliche Betreuung: Umfassendes Mentoring & Onboarding Vielseitige Tätigkeiten: Persönliche & fachliche Weiterentwicklung Work-Life-Balance: Du erhältst 30 Tage Jahresurlaub und durch Beachtung der Zeiterfassung die Möglichkeit des Freizeitausgleichs Flexible Arbeitszeiten: Du hast die Option, Deine 38-Stunden-Woche flexibel zu gestalten Einkaufsvorteile: Du erhältst monatlich die freie Auswahl aus vielen digitalen Gutscheinkarten oder Firmenfitness Getränke-Flatrate: Durch unsere Kaffee-/ Getränke- und Obst-Flatrate im Büro, hast Du z.B. immer frischen Kaffee und Obst zur Hand und kannst dabei die kreative Arbeitsatmosphäre genießen Weitere Zusatzleistungen: Du erhältst darüber hinaus eine bAV und eine arbeitgeberfinanzierte BU-Versicherung Erreichbarkeit: Du erreichst uns direkt mit der S4 und der S6 Dein Kontakt Ansprechpartner: Elaine Wolf E-Mail-Adresse: bewerbung@ia.certania.com", "summaryDescription" : "Information security officer / Data Governance Manager (m/w/d) at certania. Skills: Information Security, Data Governance, ISMS, TISAX. Pflege ISMS. Betrieb ISMS", "createdAt" : "2026-06-14T18:27:19.390", "lastUpdated" : "2026-06-16T01:04:03.987", "ingestTimestamp" : "2026-06-14T18:27:19.390", "mongoId" : "6a2e899674d8ee00a0de9e44", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Risk analysis", "Risk treatment", "Security tests", "Vulnerability analysis", "Incident management", "Data quality standards", "Data collection standards", "Data usage standards", "Data destruction standards", "Data consistency monitoring", "Security training", "Awareness measures", "Information Security", "Data Governance", "ISMS", "TISAX", "Risk assessment", "Data quality", "Data management", "Data cataloging", "Data governance structures", "Access control", "Data consistency", "Information security", "Risikomanagement", "Informationssicherheit", "IT-Sicherheit", "ISO/IEC 27001", "Datenschutzvorschriften", "Datenarchitekturen", "Data Warehousing", "Data Management", "TISAX Assessment Level 3", "Data Dictionaries", "Business Glossaries" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 637.4195, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305854f292fd229cf415a5", "title" : "ICT Design Engineer (Information and Communications Technology)", "company" : "Ehvert Inc", "salary" : { "min" : 1200000.0, "max" : 2400000.0, "currency" : "PHP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior ICT Design Engineer in the Philippines, adjusted for remote work and the technology industry." }, "location" : "Philippines", "locations" : [ "Philippines" ], "timestamp" : "2026-06-16T08:13:57.448", "fingerprint" : "4e5086ce26e149bbe80f21d9e0bfac9b16de26d7d335b9deacd448ca73aafc41", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://ehvert-engineering-inc.breezy.hr/p/80c5110343dc-ict-design-engineer-information-and-communications-technology", "externalId" : "80c5110343dc", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Philippines", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Philippines", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Provide ICT design engineering services", "domainKnowledge" : "Mission-Critical Facilities; Data Centers", "domainList" : [ "mission-critical-facilities", "data-centers" ], "domainSpecificKnowledge" : [ "Mission-Critical Facilities", "Data Centers" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Location: Philippines, Remote Industry: Mission-Critical Facilities, Data Centers Engagement Type: Independent Contractor Agreement for Provision of Services (long-term) Ehvert Mission Critical, a business unit within Salas O’Brien, is seeking an experienced Information and Communications Technolo", "summaryDescription" : "ICT Design Engineer (Information and Communications Technology) at Ehvert Inc. Provide ICT design engineering services", "createdAt" : "2026-06-15T22:12:05.662", "lastUpdated" : "2026-06-16T08:13:57.448", "ingestTimestamp" : "2026-06-15T22:12:05.662", "mongoId" : "6a305854f292fd229cf415a5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Mission-Critical Facilities", "Data Centers" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 629.09625, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca37374d8ee00a09abccb", "title" : "Information Security Systems Analyst", "company" : "Arrowhead Pharmaceuticals", "industry" : "Pharma", "salary" : { "min" : 85000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Madison, Wisconsin, United States", "locations" : [ "Madison", "Wisconsin", "United States" ], "certifications" : [ "SC-400" ], "timestamp" : "2026-06-15T21:16:53.144", "fingerprint" : "45a32f0296fdffdd4e9f8457d8f3846786e9bbc385f174ca30f6806f1f088423", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://arrowheadpharma.com/careers/?gh_jid=5163400007", "externalId" : "5163400007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madison", "state" : "Wisconsin", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.0746900,-89.3841663" } ], "locationText" : "Madison, Wisconsin, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Microsoft Purview, Data governance, Data loss prevention, Information protection, Microsoft 365, Intune, Exchange, SharePoint, OneDrive, Teams, Endpoints, SIEM tools, EDR platforms", "professionalSkills" : [ "Analytical skills", "Problem-solving skills", "Subject matter expert" ], "hardSkillsList" : [ "Data classification", "DLP policy tuning", "EDiscovery", "Insider Risk Management", "Audit log interpretation", "Compliance reporting", "Platform administration", "Health monitoring", "Change management" ], "hardSkills" : [ { "name" : "Data classification", "level" : "intermediate" }, { "name" : "DLP policy tuning", "level" : "intermediate" }, { "name" : "EDiscovery", "level" : "intermediate" }, { "name" : "Insider Risk Management", "level" : "intermediate" }, { "name" : "Audit log interpretation", "level" : "intermediate" }, { "name" : "Compliance reporting", "level" : "intermediate" }, { "name" : "Platform administration", "level" : "intermediate" }, { "name" : "Health monitoring", "level" : "intermediate" }, { "name" : "Change management", "level" : "intermediate" } ], "majorSkills" : "Microsoft Purview, Data Loss Prevention, Information Protection, Data Classification", "majorSkillsList" : [ "Microsoft Purview", "Data Loss Prevention", "Information Protection", "Data Classification" ], "coreResponsibilities" : "Administer Microsoft Purview platform, Serve as subject matter expert for data governance, Serve as subject matter expert for DLP, Serve as subject matter expert for information protection, Administer sensitivity labels, Maintain label policies, Configure auto-labeling, Develop classification taxonomies, Refine auto-classification rules, Build DLP policies, Maintain DLP policies, Tune DLP policies, Investigate DLP policy matches, Investigate DLP alerts, Refine DLP rules, Document DLP incidents, Escalate DLP violations, Support legal hold requests, Execute eDiscovery collections, Export content searches, Administer Insider Risk Management policies, Review insider risk alerts, Coordinate insider risk cases, Generate Purview audit logs, Generate compliance reports, Generate dashboard analytics, Report on DLP incidents, Report on label adoption rates, Report on policy effectiveness, Report on compliance posture, Identify trends, Recommend policy adjustments, Monitor Purview platform health, Monitor Purview platform performance, Apply configuration changes, Apply updates, Manage connector integrations, Maintain documentation, Contribute to knowledge base, Triage security alerts, Escalate security alerts", "teamCollaboration" : "Work with business stakeholders; Work with Legal; Work with HR; Work with Security leadership; Coordinate with functional teams", "domainKnowledge" : "Pharmaceutical data types; Regulatory submissions; Patient data; RNAi technologies", "domainList" : [ "pharmaceutical-data-types", "regulatory-submissions", "patient-data", "rnai-technologies" ], "domainSpecificKnowledge" : [ "Pharmaceutical data types", "Regulatory submissions", "Patient data", "RNAi technologies" ], "toolProficiency" : [ "Microsoft Purview", "Microsoft 365", "Intune" ], "communicationSkills" : "Explain technical concepts", "documentationSkills" : "Maintain documentation; Runbooks; Diagrams; Standards; Exceptions", "problemSolvingSkills" : "Investigate alerts; Interpret audit logs; Distinguish signal from noise", "specialRequirements" : "Valid authorization to work", "qualificationsBasic" : "Bachelor's degree in Information Security, IT, or Computer Science, 3+ years in Information Security, IT compliance, or data governance, Hands-on experience administering Microsoft Purview or M365 Compliance Center, Experience with sensitivity labels, DLP, retention policies, eDiscovery, or Insider Risk Management, Experience working within a regulated industry", "qualificationsPreferred" : "Microsoft certifications relevant to security and compliance, Experience with Microsoft Defender for Cloud Apps, Prior experience in pharmaceutical, biotech, or life sciences, Experience supporting eDiscovery or legal hold workflows, Exposure to SIEM tools, Exposure to EDR platforms, Exposure to identity and access management systems", "rawDescription" : "Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead’s RNAi-based therapeutics leverage this natural pathway of gene silencing. Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates. Arrowhead’s corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need. The Position The Information Security Systems Analyst is responsible for the day-to-day administration, operation, and continuous improvement of the organization's Microsoft Purview platform, serving as the primary subject matter expert for data governance, data loss prevention (DLP), and information protection. This role operates at the intersection of information security, data governance, and regulatory compliance, ensuring that sensitive data - including intellectual property, clinical trial data, and personally identifiable information - is properly classified, protected, and governed in accordance with applicable regulations and internal policies. In addition to Purview-focused responsibilities, this analyst contributes to broader information security operations including troubleshooting endpoints, working in Microsoft 365, and Intune. Responsibilities The analyst will serve as the hands-on operational owner of Microsoft Purview, managing the platform on a daily basis across its core functional areas: Information Protection & Data Classification - Administer and maintain Microsoft Purview sensitivity labels, label policies, and auto-labeling configurations. Develop and refine classification taxonomies appropriate to pharmaceutical data types, including research data, regulatory submissions, and patient data. Review and tune auto-classification rules to minimize false positives and ensure accurate labeling across Microsoft 365 and connected data sources. Data Loss Prevention - Build, maintain, and continuously tune DLP policies across Exchange, SharePoint, OneDrive, Teams, and endpoints. Investigate DLP policy matches and alerts, differentiate true policy violations from false positives, and work with business stakeholders to refine rules without disrupting legitimate business workflows. Document DLP incidents and escalate confirmed violations per the incident response process. eDiscovery & Content Search - Support legal hold requests and eDiscovery collections. Work with Legal and HR to scope, execute, and export content searches accurately and in accordance with chain-of-custody requirements. Insider Risk Management - Administer Purview Insider Risk Management policies, review alerts, and coordinate with HR, Legal, and Security leadership on confirmed or suspected insider risk cases. Maintain strict confidentiality in handling all insider risk data. Audit & Reporting - Generate and interpret Purview audit logs, compliance reports, and dashboard analytics. Provide regular reporting to management on DLP incidents, label adoption rates, policy effectiveness, and compliance posture. Identify trends and recommend adjustments to policies and configurations. Platform Administration & Health Monitoring - Monitor the health and performance of the Purview platform, apply configuration changes and updates in alignment with change management processes, and stay current on Microsoft feature releases relevant to Purview. Manage connector integrations with third-party data sources as required. Maintain clear documentation (runbooks, diagrams, standards, exceptions) and contribute to a knowledge base. Triage security alerts and escalate as necessary. Requirements Bachelor's degree in Information Security, Information Technology, Computer Science, or a related field, or equivalent practical experience 3+ years of experience in Information Security, IT compliance, or data governance role Demonstrated hands-on experience administering Microsoft Purview or its predecessor Microsoft 365 Compliance Center, including at least two of the following areas: sensitivity labels, DLP, retention policies, eDiscovery, or Insider Risk Management Experience working within or supporting a regulated industry environment Strong analytical and problem-solving skills with the ability to investigate alerts, interpret audit logs, and distinguish signal from noise Effective written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders Preferred Microsoft certifications relevant to security and compliance, such as SC-401 Experience with Microsoft Defender for Cloud Apps (MCAS) and its integration with Purview Prior experience in the pharmaceutical, biotech, or life sciences sector Experience supporting eDiscovery or legal hold workflows in collaboration with Legal teams Exposure to SIEM tools, endpoint detection and response (EDR) platforms, or identity and access management systems Comfortable working across functional teams including Legal, Compliance, HR, and IT, and possesses the judgment to handle sensitive data and insider risk information with appropriate discretion. Wisconsin pay range $85,000—$100,000 USD Arrowhead provides competitive salaries and an excellent benefit package. Candidates must have current, valid authorization to work in the country where this role is located. California Applicant Privacy Policy", "summaryDescription" : "Information Security Systems Analyst at Arrowhead Pharmaceuticals. Skills: Microsoft Purview, Data Loss Prevention, Information Protection, Data Classification. Administer Microsoft Purview platform. Serve as subject matter expert for data governance", "postedDate" : "2026-06-14T19:24:05.102", "createdAt" : "2026-06-14T19:24:05.102", "lastUpdated" : "2026-06-15T21:16:53.144", "ingestTimestamp" : "2026-06-14T19:24:05.102", "mongoId" : "6a2ca37374d8ee00a09abccb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 100000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data classification", "DLP policy tuning", "EDiscovery", "Insider Risk Management", "Audit log interpretation", "Compliance reporting", "Platform administration", "Health monitoring", "Change management", "Microsoft Purview", "Data Loss Prevention", "Information Protection", "Data Classification", "Analytical skills", "Problem-solving skills", "Subject matter expert", "Pharmaceutical data types", "Regulatory submissions", "Patient data", "RNAi technologies", "SC-400", "Microsoft 365", "Intune" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 624.3712, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde3e52beec4dd3d9a03fa", "title" : "Data Analysis and Quality Assurance Director", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Data Analysis and Quality Assurance in Austin, Texas, adjusted for government industry and seniority." }, "location" : "826770", "locations" : [ "826770", "
Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

" ], "timestamp" : "2026-06-15T08:50:23.902", "fingerprint" : "59540f617c815fc9a9369d5c690638b92eadeb9abb68f7061cbad208bee2e008", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34107", "externalId" : "34107", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Strategic planning", "Policy development", "Data analysis", "Reporting", "Quality assurance", "Process improvement", "Forecasting", "Modeling" ], "hardSkillsList" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Quality assurance, Data engineering, Machine learning", "majorSkillsList" : [ "Data analysis", "Quality assurance", "Data engineering", "Machine learning" ], "coreResponsibilities" : "Direct data reporting and analysis activities, Develop techniques for analyzing and reporting data, Remain compliant with state and federal rules, Develop and establish goals and objectives, Provide direction, guidance, and assistance in developing reports, Provide direction, guidance, and assistance in collecting data, Review and approve reports, Review and approve data collection, Review and approve analysis, Ensure accuracy of reports, Ensure quality reports are distributed, Review guidelines, procedures, rules, Monitor compliance related to contract and procurement databases, Make recommendations to improve data collection, Make recommendations to improve data analysis, Plan, develop, and approve schedules, Plan, develop, and approve priorities, Plan, develop, and approve standards, Review results of special investigations, Review results of internal audits, Review results of research studies, Review results of forecasts, Review results of modeling exercises, Provide direction and guidance, Perform advanced managerial work, Provide direction and guidance in strategic operations, Provide direction and guidance in planning, Establish goals and objectives, Respond to audit requests, Develop guidelines, procedures, policies, rules, and regulations, Develop schedules, priorities, and standards, Coordinate data collection, Coordinate reporting, Coordinate quality, Evaluate data collection, Evaluate reporting, Evaluate quality, Develop data reports, Develop policies and procedures for producing quality reports, Develop policies and procedures for maintaining data integrity, Plan work of others, Assign work of others, Supervise work of others", "teamCollaboration" : "Cross-functional teams; Internal audits; External audits", "projectManagementSkills" : [ "Strategic planning", "Policy development", "Roadmap planning" ], "domainKnowledge" : "Procurement; Contract management; State data reporting; Federal regulations", "domainList" : [ "procurement", "contract-management", "state-data-reporting", "federal-regulations" ], "domainSpecificKnowledge" : [ "Procurement", "Contract management", "State data reporting", "Federal regulations" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Executive presentations; Technical documentation; Client meetings", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Training and development opportunities", "innovationCreativity" : "Innovative ideas; Streamline processes", "problemSolvingSkills" : "Problem solver; Root cause analysis; Data-driven decision making", "specialRequirements" : "Texas resident required, Relocate to Texas required", "outcomesObjectives" : "Ensure departmental processes are impartial; Ensure departmental processes are transparent; Ensure departmental processes are professional; Acquisitions of program services for the State", "qualificationsBasic" : "Five years of experience in oversight and direction of an agency or in strategic planning and policy development and implementation, Two years of experience in administrative management or supervisory capacity, Two years of experience in data collection and analysis, One year experience in management and direction of staff relevant to data collection and analysis, Experience with state data reporting and analysis", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Analysis and Quality Assurance (DAQA) Director Who We Are: Texas Workforce Commission connects people with careers across the state. We are based in Austin on the east side of the Texas State Capitol, in the Business Operations Division located at 1117 Trinity Street in Austin. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. Who You Are: A self-starting, motivated, collaborative problem solver who understands the value of data analysis in measurement of procurement and contract related activities for the Procurement and Contract Services Department. You should share our department’s mission to provide excellent customer service and ensure that departmental processes are impartial, transparent, and professional. You should be innovative and open to new ideas to streamline existing processes. We strive to ensure that acquisitions of program services are conducted with the best outcome for the State in mind. What you Will Do: The Data Analysis and Quality Assurance (DAQA) Director: -Directs data reporting and analysis activities. -Develops and implements techniques for analyzing and reporting data in meaningful ways and remains compliant with state and federal rules and regulations. -Develops and establishes goals and objectives consistent with the agency policy and procedure. -Provides direction, guidance, and assistance in developing reports and collecting data related to contracts and procurement. -Reviews and approves reports, data collection and analysis, and ensures accuracy and that quality reports are distributed. -Reviews guidelines, procedures, rules, and regulations; and monitors compliance related to contract and procurement databases. -Makes recommendations to improve data collection and analysis. -Plans, develops, and approves schedules, priorities, and standards for achieving goals. -Reviews results of special investigations, internal audits, research studies, forecasts, and modeling exercises to provide direction and guidance. -Performs advanced (senior-level) managerial work providing direction and guidance in strategic operations and planning. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. You Will be Trusted To: -Establish goals and objectives. -Respond to audit requests from internal and external entities. -Develop guidelines, procedures, policies, rules, and regulations. -Develop schedules, priorities, and standards for achieving established goals. -Coordinate and evaluate data collection, reporting, and quality. -Develop and evaluate data reports and policies and procedures for producing quality reports and maintaining data integrity. -Plan, assign, and supervise the work of others. -Work under limited supervision, with considerable latitude for the use of initiative and independent judgment. -Performs other duties as assigned. You Qualify With: -Five years of full-time experience in the oversight and direction of an agency program; or in strategic planning and policy development and implementation, two years of which must have been in an administrative management or supervisory capacity. -Relevant academic credits may be applied toward experience qualifications for this position. You Are a Great Fit With: -A minimum of two years’ experience in data collection and analysis. -One year experience in the management and direction of staff relevant to data collection and analysis. -Experience with state data reporting and analysis. You Gain: -A Family Friendly Certified Workplace. -Competitive starting salary: $9,166.67 to $9,583.34/month, depending on experience -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Data Analysis and Quality Assurance Director at Texas Workforce Commission. Skills: Data analysis, Quality assurance, Data engineering, Machine learning. Direct data reporting and analysis activities. Develop techniques for analyzing and reporting data", "createdAt" : "2026-06-14T01:12:18.507", "lastUpdated" : "2026-06-15T08:50:23.902", "ingestTimestamp" : "2026-06-14T01:12:18.507", "mongoId" : "69dde3e52beec4dd3d9a03fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Quality assurance", "Data engineering", "Machine learning", "Strategic planning", "Policy development", "Reporting", "Process improvement", "Forecasting", "Modeling", "Roadmap planning", "Procurement", "Contract management", "State data reporting", "Federal regulations", "Dbt Cloud" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 623.64136, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2abe2174d8ee00a06ecb07", "title" : "Senior Command and Data Handling/Networking Subsystem Engineers", "company" : "Boeing", "salary" : { "min" : 182750.0, "max" : 247250.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "USA - El Segundo, CA", "locations" : [ "USA - El Segundo, CA", "United States of America" ], "timestamp" : "2026-06-15T01:07:07.809", "fingerprint" : "0f1e7ccc1e9e9020f8fe333aefc09f825bdc924f5a2f8fd010fa6245c697e6dd", "source" : "workday", "language" : "en", "applyUrl" : "https://boeing.wd1.myworkdayjobs.com/external_subsidiary/job/USA---El-Segundo-CA/Senior-Command-and-Data-Handling-Networking-Subsystem-Engineers---Space-Autonomy-Systems_JR2026511650", "externalId" : "JR2026511650", "locationPoint" : "33.91918,-118.41647", "structuredLocations" : [ { "city" : "El Segundo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.9170280,-118.4156337" } ], "locationText" : "El Segundo, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "TCP/IP, Routing, Switching, MIL-STD-1553, SpaceWire, CAN, LVDS, Ethernet, MATLAB, Python, VBA, IP", "professionalSkills" : [ "Systems design", "Systems integration", "Requirements definition", "Technology insertion", "Cybersecurity", "Information assurance" ], "hardSkillsList" : [ "Subsystem engineering", "Network protocols", "System modeling", "System simulation", "COMSEC design", "TRANSEC design", "Hardware design", "Hardware test", "Spacecraft integration", "End-to-end system engineering", "Traffic analysis", "TM accuracy", "Sampling", "Command pacing", "Architecture design", "CNSSP-12 compliance", "System architecture", "Network architecture", "Network security", "Network troubleshooting", "Satellite communication", "Embedded systems" ], "hardSkills" : [ { "name" : "Subsystem engineering", "level" : "intermediate" }, { "name" : "Network protocols", "level" : "intermediate" }, { "name" : "System modeling", "level" : "intermediate" }, { "name" : "System simulation", "level" : "intermediate" }, { "name" : "COMSEC design", "level" : "intermediate" }, { "name" : "TRANSEC design", "level" : "intermediate" }, { "name" : "Hardware design", "level" : "intermediate" }, { "name" : "Hardware test", "level" : "intermediate" }, { "name" : "Spacecraft integration", "level" : "intermediate" }, { "name" : "End-to-end system engineering", "level" : "intermediate" }, { "name" : "Traffic analysis", "level" : "intermediate" }, { "name" : "TM accuracy", "level" : "intermediate" }, { "name" : "Sampling", "level" : "intermediate" }, { "name" : "Command pacing", "level" : "intermediate" }, { "name" : "Architecture design", "level" : "intermediate" }, { "name" : "CNSSP-12 compliance", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "Network architecture", "level" : "intermediate" }, { "name" : "Network security", "level" : "intermediate" }, { "name" : "Network troubleshooting", "level" : "intermediate" }, { "name" : "Satellite communication", "level" : "intermediate" }, { "name" : "Embedded systems", "level" : "intermediate" } ], "majorSkills" : "Networking Subsystem, Space Autonomy Systems, Satellite Network Systems", "majorSkillsList" : [ "Networking Subsystem", "Space Autonomy Systems", "Satellite Network Systems" ], "coreResponsibilities" : "Gather system level requirements, Define system level requirements, Document system level requirements, Provide technical status, Provide cost status, Provide schedule status, Participate in cost reduction initiatives, Support cost reduction initiatives, Participate in schedule reduction initiatives, Support schedule reduction initiatives, Develop subsystem specifications, Maintain subsystem specifications, Develop unit specs, Maintain unit specs, Work on subsystem-to-subsystem interface requirements, Work on C&DHN subsystem hardware SDRLs/CDRLs, Create subsystem level analyses, Release subsystem level analyses, Perform Subsystem Architecture, Perform technology insertion, Assure COMSEC implementation, Assure CNSSP-12 compliance, Assure cybersecurity compliance, Assure information assurance compliance, Prepare C&DHN subsystem design reviews, Present C&DHN subsystem design reviews, Input to Spacecraft Database, Input to FSW, Input to Flight ROPs, Define satellite C&DHN process writings, Maintain satellite C&DHN process writings", "teamCollaboration" : "Multidisciplinary teams; Program SEIT interface", "projectManagementSkills" : [ "Cost reduction initiatives", "Schedule reduction initiatives" ], "domainKnowledge" : "Space Autonomy Systems; Satellite network systems; Aerospace systems; COMSEC; TRANSEC; Model-Based Systems Engineering; CCSDS; Networked embedded systems", "domainList" : [ "space-autonomy-systems", "satellite-network-systems", "aerospace-systems", "comsec", "transec", "model-based-systems-engineering", "ccsds", "networked-embedded-systems" ], "domainSpecificKnowledge" : [ "Space Autonomy Systems", "Satellite network systems", "Aerospace systems", "COMSEC", "TRANSEC", "Model-Based Systems Engineering", "CCSDS", "Networked embedded systems" ], "toolProficiency" : [ "SysML", "Cameo", "REA" ], "communicationSkills" : "Present design reviews", "documentationSkills" : "Document requirements; Subsystem specifications; Unit specs; SDRLs/CDRLs; Process writings", "innovationCreativity" : "Technology insertion", "problemSolvingSkills" : "Resolve technical issues", "specialRequirements" : "Active U. S. Top Secret/SCI Security Clearance, Willing to travel 10%, U. S. Citizenship Required, Export control compliance", "qualificationsBasic" : "Active U. S. Top Secret/SCI Security Clearance, Bachelor of Science degree in Engineering, Engineering Technology, Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent, 5+ years of experience working with MIL-STD-1553, SpaceWire, CAN, LVDS or Ethernet, Minimum 10+ years of engineering experience, Familiar with networking principles including TCP/IP, routing, switching, and network protocols relevant to aerospace systems, Willing to travel 10% of the time domestically and internationally, U. S. Person as defined by 22 C. F. R. §120.62", "qualificationsPreferred" : "Bachelor’s Degree or higher in Software, Electrical, or Aerospace Engineering, Experience developing solutions to complex technical problems, Experience working with CCSDS and IP, Experience in MATLAB, Python, and VBA, understanding of network engineering concepts including network architecture design, network security, and network troubleshooting, Experience with network simulation and analysis tools, Familiarity with satellite communication network and protocols, Knowledge of cybersecurity best practices for networked embedded systems, Basic understanding of the Model-Based Systems Engineering (MBSE) principles and tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Senior Command and Data Handling/Networking Subsystem Engineers – Space Autonomy Systems **Company:** The Boeing Company **Boeing Defense, Space & Security** (BDS), Space Mission Systems is seeking a **Senior****Command and Data Handling/Networking Subsystem Engineer** to develop and manage **C &DHN **Subsystems for Boeing secured autonomous satellite network systems in **El Segundo, CA**. **C &DHN **Subsystem engineering assignments include requirements definition and flow down, systems design and analysis, systems integration, test, and verification. You will resolve technical issues and ensure hardware and software are flight worthy prior to delivery. Ability to work collaboratively in multidisciplinary teams is crucial. You will work with management and experts across multiple disciplines including GNC subsystem engineering, software engineering, Communications Security (**COMSEC**) design, Transmission Security**(TRANSEC)** design**,** electronic hardware design & test, spacecraft integration, and end-to-end system engineering. Foundational knowledge of networking principles including TCP/IP, routing, switching, and network protocols relevant to aerospace systems. Some familiarity with system modeling and simulation tools, including Model-Based Systems Engineering (MBSE) tools (e.g., SysML, Cameo) will be a plus. **Position Responsibilities:** * Gather, define, and document system level requirements to support flight control and mission or trajectory requirements definition * Provide technical, cost, and schedule status to program and function * Participate and support with cost and schedule reduction initiatives * Develop and maintain comprehensive subsystem specifications and unit specs with REA support * Work on subsystem-to-subsystem interface requirements and C&DHN subsystem hardware Subcontract/Contract Data Requirements List (SDRLs/CDRLs) * Create and release subsystem level analyses such as traffic analysis, TM accuracy, sampling, command pacing * Perform Subsystem Architecture (including Block Diagram) and technology insertion (including COMSEC Roadmap) * Assure COMSEC implementation and CNSSP-12 compliance including cybersecurity and information assurance * Prepare and present C&DHN subsystem design reviews (PDR, CDR, etc.) for customer and Program SEIT interface * Input to Spacecraft Database, FSW, and Flight ROPs * Define and maintain satellite **C &DHN **process writings (DMS guides) **This position is expected to be 100% onsite. The selected candidate will be required to work onsite the listed location.** **Basic Qualifications (Required Skills/ Experience):** * Active U.S. Top Secret/SCI Security Clearance * Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement * 5+ years of experience working with MIL-STD-1553, SpaceWire, CAN, LVDS or Ethernet * Minimum 10+ years of engineering experience * Familiar with networking principles including TCP/IP, routing, switching, and network protocols relevant to aerospace systems * Willing to travel 10% of the time domestically and internationally **Preferred Qualifications (Desired Skills/Experience):** * Bachelor’s Degree or higher in Software, Electrical, or Aerospace Engineering * Experience developing solutions to complex technical problems * Experience working with CCSDS and IP (Internet Protocol) * Experience in MATLAB, Python, and VBA * Strong understanding of network engineering concepts including network architecture design, network security, and network troubleshooting * Experience with network simulation and analysis tools * Familiarity with satellite communication network and protocols * Knowledge of cybersecurity best practices for networked embedded systems * Basic understanding of the Model-Based Systems Engineering (MBSE) principles and tools to support system design, analysis, and verification is a plus **Conflict of Interest:** Successful candidate for this job must satisfy the Company’s Conflict of Interest (COI) assessment process. **Typical Education/Experience:** Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. **Relocation:** This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates. **Drug Free Workplace:** Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. **Pay and Benefits** : At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $182,750 - $247,250 **Language Requirements:** Not Applicable **Education:** Bachelor's Degree or Equivalent **Relocation:** This position offers relocation based on candidate eligibility. **Export Control Requirement:** This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. **Safety Sensitive:** This is not a Safety Sensitive Position. **Security Clearance:** This position requires an active U.S. Top Secret/SCI Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Shift 1 (United States of America) **Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud** \\- [Recruitment Fraud Warning](http://www.boeing.com/careers/recruitment-fraud-warning.page) Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. [EEO is the law](http://www.boeing.com/resources/boeingdotcom/careers/footer/EEOIsTheLawPoster.pdf) [Boeing EEO Policy](https://tbcdn.talentbrew.com/company/185/v1_0/img/2018_Policy_Statement.pdf) [Request an Accommodation](http://www.boeing.com/careers/request-accommodation.page) [Applicant Privacy](http://www.boeing.com/careers/privacy-statement.page) **Boeing Participates in E – Verify** * [E-Verify (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterEnglish.pdf) * [E-Verify (Spanish) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterSpanish.pdf) **Right to Work Statement** * [Right to Work (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWEnglishversion.pdf) * [Right to Work (Spanish)](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWSpanishversion.pdf)", "summaryDescription" : "Senior Command and Data Handling/Networking Subsystem Engineers at Boeing. Skills: Networking Subsystem, Space Autonomy Systems, Satellite Network Systems. Gather system level requirements. Define system level requirements", "postedDate" : "2026-06-10T05:25:52.316", "createdAt" : "2026-06-12T05:25:52.055", "lastUpdated" : "2026-06-15T01:07:07.809", "ingestTimestamp" : "2026-06-12T05:25:52.055", "mongoId" : "6a2abe2174d8ee00a06ecb07", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://boeing.wd1.myworkdayjobs.com/external_subsidiary/job/USA---El-Segundo-CA/Senior-Command-and-Data-Handling-Networking-Subsystem-Engineers---Space-Autonomy-Systems_JR2026511650", "salaryAnnualMin" : 182750, "salaryAnnualMax" : 247250, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Subsystem engineering", "Network protocols", "System modeling", "System simulation", "COMSEC design", "TRANSEC design", "Hardware design", "Hardware test", "Spacecraft integration", "End-to-end system engineering", "Traffic analysis", "TM accuracy", "Sampling", "Command pacing", "Architecture design", "CNSSP-12 compliance", "System architecture", "Network architecture", "Network security", "Network troubleshooting", "Satellite communication", "Embedded systems", "Networking Subsystem", "Space Autonomy Systems", "Satellite Network Systems", "Systems design", "Systems integration", "Requirements definition", "Technology insertion", "Cybersecurity", "Information assurance", "Cost reduction initiatives", "Schedule reduction initiatives", "Satellite network systems", "Aerospace systems", "COMSEC", "TRANSEC", "Model-Based Systems Engineering", "CCSDS", "Networked embedded systems", "SysML", "Cameo", "REA" ], "skillCount" : 43, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "_score" : 623.14294, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a306724f292fd229cfb9ac9", "title" : "Evidence and Insights Manager", "company" : "Girl Effect", "industry" : "Media", "salary" : { "min" : 3800000.0, "max" : 6500000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Evidence and Insights Manager in Kenya, adjusted for the non-profit industry and contract employment type." }, "location" : "Kenya", "locations" : [ "Kenya" ], "timestamp" : "2026-06-16T06:58:42.744", "fingerprint" : "fe282112e60fdd0b35eb9991d7b1a64b9dc9a306eafa3ea496f05e08adbd32f2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/girleffect/jobs/8591795002", "externalId" : "8591795002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Kenya", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Kenya", "employmentType" : "CONTRACT", "experienceMinYears" : 4, "experienceLevel" : "Manager", "professionalSkills" : [ "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Data analysis", "Reporting", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management" ], "hardSkillsList" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting" ], "softSkillsList" : [ "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring" ], "hardSkills" : [ { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Digital data analysis", "level" : "intermediate" }, { "name" : "Research methods", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" }, { "name" : "Conflict resolution" }, { "name" : "Public speaking" }, { "name" : "Critical thinking" }, { "name" : "Mentoring" } ], "majorSkills" : "Applied research, Monitoring and evaluation, Data analysis, Reporting", "majorSkillsList" : [ "Applied research", "Monitoring and evaluation", "Data analysis", "Reporting" ], "coreResponsibilities" : "Write requests for proposals, Write Terms of Reference, Review research tools, Advise on sampling strategies, Advise on methodologies, Review analysis, Review reporting, Support quality assurance during fieldwork, Conduct on-site visits, Provide technical expertise to research projects, Provide technical expertise to M&E projects, Advise on fit-for-purpose designs, Suggest qualitative methodologies, Suggest quantitative methodologies, Suggest other research approaches, Ensure ethical standards are upheld, Ensure safeguarding standards are upheld, Ensure field implementation is conducted to high standards, Train field research partners, Oversee field research partners, Ensure research outputs are accessible, Ensure research outputs are understandable, Ensure research outputs are useful, Utilise research outputs, Develop research partnerships, Maximise opportunities for cost-sharing, Maximise opportunities for joint learning, Deliver other duties relevant to position", "teamCollaboration" : "Work across functions; Work across countries; Work alongside global MERL team", "projectManagementSkills" : [ "Project management", "Research processes", "Research timelines" ], "domainKnowledge" : "Gender; Sexual reproductive health; Mental health; Economic empowerment", "domainList" : [ "gender", "sexual-reproductive-health", "mental-health", "economic-empowerment" ], "domainSpecificKnowledge" : [ "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "communicationSkills" : "Knowledge management communication; Engaging reports; Research outputs communication", "documentationSkills" : "Reporting; Research outputs", "innovationCreativity" : "Creative mindset", "problemSolvingSkills" : "Uncovering new insights; Translating insights", "specialRequirements" : "12 month contract basis", "qualificationsBasic" : "Minimum 5 years applied research, Minimum 4 years M&E experience, Postgraduate degree in relevant field, SQL proficiency, Qualitative and quantitative research design, Fieldwork experience, Data analysis experience, Reporting experience, Commissioning research agencies, Managing research agencies, Qualitative data analysis, Quantitative data analysis, Digital adaptations data analysis, Uncovering new insights, Translating insights into reports, Strategic planning experience, Knowledge management experience, Communication skills, Organisation skills, Project management skills, Cultural awareness, Sensitivity to cultures, Creative mindset, Inquisitive mindset, Fluent in English, High level English writing, High level English speaking", "qualificationsPreferred" : "Experience with girls on sensitive issues, Experience with participatory engagement, Technical knowledge in thematic areas, Background evaluating programs for women/girls, Hands-on applied research experience, Experience training others in research methods, Experience mentoring others in research methods, Experience training others in data analysis, Experience mentoring others in data analysis, Experience training others in reporting, Experience mentoring others in reporting", "remoteFriendly" : true, "rawDescription" : "Who we are Girl Effect is an international non-profit that builds media that girls want, trust and need. From chat-bots to chat-shows and TV dramas to tech, our content is reaching millions of girls in Africa and Asia to make choices and changes in their lives. Igniting their confidence to act differently at a time that can define their future. We create safe spaces for girls, sharing facts, and answering questions about health, nutrition, education, relationships and so much more. And we use innovative technology so we can reach girls at scale. We arm girls with the skills to negotiate and redefine what they are told is possible, so every girl can choose to be in control of her body, her health, her learning and livelihood. When a girl unlocks her power to make different choices that change her life, it inspires others to do so too. She starts a ripple effect that impacts her family, her community, her country. That’s the Girl Effect. Role Context The Evidence write requests for proposals and Terms of Reference for studies, review research tools, advise on sampling strategies and methodologies, and review analysis and reporting. Support with quality assurance during fieldwork, with on-site visits' or something, as I think this will be a key aspect of the role. Provide technical expertise to research, monitoring, and evaluation projects, working alongside our global MERL team as required. You will advise on fit-for purpose designs suggesting qualitative and/or quantitative methodologies or other approaches (e. g. using digital methods or secondary data sources) as appropriate. Ensure that Girl Effect’s ethical and safeguarding standards are upheld, and that field implementation is conducted to the highest standards, through training and oversight of field research partners. Ensure that research outputs are accessible, readily understandable, and useful, ensuring they are utilised as much as possible. Develop research partnerships with local and international research organisations to maximise opportunities for cost-sharing and joint learning. This list should not be considered exhaustive; you will be expected to deliver other duties relevant and appropriate to this position. Who You Are (Experience Required) Substantial experience (minimum 5 years) in applied research and/or monitoring and evaluation in Kenya or a postgraduate degree in a relevant field and at least 4 years of work experience. Passionate about working with adolescent girls and young women and truly supporting them thrive in challenging environments. Demonstrated experience in implementation of high quality qualitative and quantitative research design, fieldwork, data analysis and reporting. Experience of commissioning and managing research agencies throughout projects ensuring deliverables are completed on time and meeting the organisational needs. Strong qualitative and quantitative data analysis skills; proficient with digital adaptations. Demonstrated experience in uncovering new insights and translating these into exciting, engaging reports and research outputs. Experience in strategic planning and knowledge management Strong communication skills; able to work effectively across functions and countries. Excellent organisation and project management skills; able to develop and drive research processes and timelines. Strong cultural awareness and sensitivity about the cultures within which Girl Effect operates. Creative and inquisitive mindset with strong communication and organisational skills. Commitment to realising the potential of girls and to the vision and values of Girl Effect. Desirable Expertise working with girls on sensitive issues in Kenya Experience with participatory engagement approaches Technical/theoretical knowledge in one or more of Girl Effect’s thematic areas (e. g. gender, sexual and reproductive health, mental health, or economic empowerment) Background in evaluating programmes that relate to women and girls Hands-on experience of applied research in emerging markets or developing contexts. Experience in training and mentoring others in research methods, data analysis and reporting. Fluent in English, with a high level in writing as well as speaking What Else You Should Know As we continue to scale and grow - we are hugely ambitious for our future and we are looking for people who are driven to change the world for girls. Our teams are a diverse mix across sectors (non-profit and commercial) and specialisms (from Creative through to Gender and Insight). You’ll learn and grow in an environment that will challenge you to think and work with a fresh perspective. In turn, you can expect to work somewhere where you will be stretched and developed in your role, a place where you can build your career and work with talented, engaged people committed to our cause. Girl Effect is committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, or gender identity or expression. We are proud to be an equal opportunity workplace. We are committed to building an organisation that is increasingly representative of the communities that we serve. To this end, due regard will be paid to recruiting candidates with diverse professional, academic and cultural backgrounds. Furthermore, Girl Effect is committed to safeguarding and promoting the welfare and rights of all individuals, particularly the adolescent girls and young women we support. We have zero-tolerance for safeguarding violations, including sexual exploitation, abuse, and harassment (SEAH). All employees are required to adhere to our safeguarding policies and successfully complete relevant background checks, including reference and criminal record checks where applicable. This role is subject to a standard background disclosure. This role is being recruited for on a 12 month contract basis. Only applications submitted via https://job-boards.greenhouse.io/girleffect will be reviewed. Application closing date –29th June 2026", "summaryDescription" : "Evidence and Insights Manager at Girl Effect. Skills: Applied research, Monitoring and evaluation, Data analysis, Reporting. Write requests for proposals. Write Terms of Reference", "postedDate" : "2026-06-15T23:29:34.800", "createdAt" : "2026-06-15T23:29:34.800", "lastUpdated" : "2026-06-16T06:58:42.744", "ingestTimestamp" : "2026-06-15T23:29:34.800", "mongoId" : "6a306724f292fd229cfb9ac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting", "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring", "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management", "Research processes", "Research timelines", "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 617.81537, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6a8074d8ee00a090c3a1", "title" : "Health Information Specialist", "company" : "Datavant", "industry" : "Healthcare", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Health Information Specialist in the United States, adjusted for the healthcare industry and remote work." }, "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T07:52:37.712", "fingerprint" : "295de95e975005c8d70f8ca22093755b9bdcac8eb8df75cd2b65b5aee4210a84", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.datavant.com/about/careers/open-roles/job?gh_jid=5170646008", "externalId" : "5170646008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Medical privacy regulations", "HIPAA standards" ], "hardSkills" : [ { "name" : "Medical privacy regulations", "level" : "intermediate" }, { "name" : "HIPAA standards", "level" : "intermediate" } ], "majorSkills" : "Health information management, Patient records management, Data privacy", "majorSkillsList" : [ "Health information management", "Patient records management", "Data privacy" ], "coreResponsibilities" : "Receive and process requests for patient health information, Maintain confidentiality and security with all privileged information, Maintain working knowledge of Company and facility software, Adhere to Company and Customer facilities Code of, Inform manager of work, site difficulties, and/or fluctuating, Assist with additional work duties or responsibilities, Apply medical privacy regulations to guard against unauthorized, Manage patient health records, Safeguard patient records and ensure compliance with HIPAA, Prepare new patient charts, Gather documents and information from paper sources and/or, Ensure medical records are assembled in standard order, Ensure medical records are accurate and complete, Create digital images of paperwork, Respond to requests for patient records, Retrieve patient records, Transmit patient records appropriately, Answer inbound/outbound calls, Assist with patient walk-ins, Assist with administrative duties, Handle faxes, Open mail, Perform data entry, Meet productivity expectations, Schedule pick-ups", "teamCollaboration" : "Cross-functional teams; Internal stakeholders", "domainKnowledge" : "Healthcare data; Medical privacy regulations; HIPAA standards", "domainList" : [ "healthcare-data", "medical-privacy-regulations", "hipaa-standards" ], "domainSpecificKnowledge" : [ "Healthcare data", "Medical privacy regulations", "HIPAA standards" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Patient charting; Medical records assembly", "innovationCreativity" : "Process improvement suggestions", "specialRequirements" : "Ability to commute between locations, Work overtime during peak seasons, Post-offer health screenings, Proof/completion of vaccinations", "outcomesObjectives" : "Meet productivity expectations", "qualificationsBasic" : "High School Diploma or GED, At least 18 years old, Basic computer proficiency, Comfortable utilizing phones, fax machine, printers, Professional verbal and written communication skills", "qualificationsPreferred" : "Experience in a healthcare environment, Previous production/metric-based work experience, In-person customer service experience, Ability to build relationships with clients, Comfortable bringing new ideas", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. You will: Schedule: Monday-Friday 8 hour shift, entry level role Receive and process requests for patient health information in accordance with Company and Facility policies and procedures. Maintain confidentiality and security with all privileged information. Maintain working knowledge of Company and facility software. Adhere to the Company's and Customer facilities Code of Conduct and policies. Inform manager of work, site difficulties, and/or fluctuating volumes. Assist with additional work duties or responsibilities as evident or required. Consistent application of medical privacy regulations to guard against unauthorized disclosure. Responsible for managing patient health records. Responsible for safeguarding patient records and ensuring compliance with HIPAA standards. Prepares new patient charts, gathering documents and information from paper sources and/or electronic health record. Ensures medical records are assembled in standard order and are accurate and complete. Creates digital images of paperwork to be stored in the electronic medical record. Responds to requests for patient records, both within the facility and by external sources, retrieving them and transmitting them appropriately. Answering of inbound/outbound calls. May assist with patient walk-ins. May assist with administrative duties such as handling faxes, opening mail, and data entry. Must meet productivity expectations as outlined at specific site. May schedules pick-ups. Other duties as assigned. What you will bring to the table: High School Diploma or GED Must be at least 18 years old. Ability to commute between locations as needed. Able to work overtime during peak seasons when required. Basic computer proficiency. Comfortable utilizing phones, fax machine, printers, and other general office equipment on a regular basis. Professional verbal and written communication skills in the English language. Bonus points if: Experience in a healthcare environment. Previous production/metric-based work experience. In-person customer service experience. Ability to build relationships with on-site clients and customers. Comfortable bringing new ideas, process improvement suggestions, and feedback to internal stakeholders. Pay ranges for this job title may differ based on location, responsibilities, skills, experience, and other requirements of the role. The estimated base pay range per hour for this role is: $15—$15 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.", "summaryDescription" : "Health Information Specialist at Datavant. Skills: Health information management, Patient records management, Data privacy. Receive and process requests for patient health information. Maintain confidentiality and security with all privileged information", "postedDate" : "2026-06-13T20:07:00.119", "createdAt" : "2026-06-13T20:07:00.119", "lastUpdated" : "2026-06-15T07:52:37.712", "ingestTimestamp" : "2026-06-13T20:07:00.119", "mongoId" : "6a2c6a8074d8ee00a090c3a1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Medical privacy regulations", "HIPAA standards", "Health information management", "Patient records management", "Data privacy", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Healthcare data" ], "skillCount" : 11, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 616.25146, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c957a74d8ee00a098d2de", "title" : "CRM and Data Manager", "company" : "DIM Brands International", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Retail in Rueil-Malmaison, France, adjusted for seniority and company size." }, "location" : "DIM", "locations" : [ "DIM" ], "timestamp" : "2026-06-15T10:19:28.809", "fingerprint" : "f05a02a872fa9bbf998c777d4bd011e4d6e7f569d770000a0b2c45630039132c", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.greenhouse.io/dim/jobs/8002978", "externalId" : "8002978", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rueil-Malmaison", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8777800,2.1802832" } ], "locationText" : "Rueil-Malmaison, France", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "CRM, Data management, Customer Data Platform, IA", "professionalSkills" : [ "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization" ], "hardSkillsList" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management" ], "hardSkills" : [ { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "KPI reporting", "level" : "intermediate" }, { "name" : "Customer service management", "level" : "intermediate" } ], "majorSkills" : "CRM, Data Management, Customer Experience, Team Leadership", "majorSkillsList" : [ "CRM", "Data Management", "Customer Experience", "Team Leadership" ], "coreResponsibilities" : "Pilot engagement plans, Pilot retention plans, Pilot satisfaction plans, Supervise campaign implementation, Supervise customer journeys, Supervise activation scenarios, Coordinate CRM program redesign, Coordinate CRM program optimization, Ensure targeting relevance, Ensure database exploitation, Monitor data quality, Identify data anomalies, Track performance, Update key dashboards, Report regularly to management, Share best practices, Share campaign results, Manage collaborators daily, Help collaborators upskill, Track collaborator planning, Resolve daily issues, Supervise European customer service, Optimize response processes, Ensure tool configuration", "teamCollaboration" : "IT teams; E-commerce teams; Retail teams; European countries", "domainKnowledge" : "Retail; E-commerce", "domainList" : [ "retail", "e-commerce" ], "domainSpecificKnowledge" : [ "Retail", "E-commerce" ], "toolProficiency" : [ "Klaviyo", "Gladly" ], "innovationCreativity" : "Propose new ideas; Propose new tools", "problemSolvingSkills" : "Identify anomalies; Resolve issues", "outcomesObjectives" : "Measure action impact", "qualificationsBasic" : "8 to 10 years experience, Management experience, Comfortable with numbers, Understand database functioning, Rigorous, Proficient in campaign management tools, Proficient in customer service tools, Fluent English", "qualificationsPreferred" : "Retail or e-commerce experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "DIM Brands International (DBI) est un fabricant et distributeur éco-responsable de sous-vêtements des marques parmi les plus fortes au monde (DIM, Nur Die, Lovable, La Senza...) pour toute la famille. DIM est le leader du marché en France et la marque préférée des consommateurs français (Étude OpinionWay – 1059 répondants – février 2025), Nur Die est le leader du marché en Allemagne dans le segment des produits de consommation, Lovable est un solide second sur le marché italien de la lingerie et La Senza est une marque canadienne emblématique de sous-vêtements. Les produits DIM sont distribués en Omnicanalité (GMS, Ecommerce et Boutiques DIM). Fondée en 1960, DBI a une longue tradition d'innovation et d'excellence. En 2022, l'entreprise a retrouvé son indépendance et entend accélérer sa croissance en s'appuyant sur une stratégie claire basée sur quatre axes : le développement de ses marques phares, un solide programme d'innovations produits, une stratégie omnicanale forte et un programme d'excellence opérationnelle continue. \"Simplification and Scale\" est notre devise stratégique. Notre ambition est d'ouvrir un nouveau cycle de croissance rentable et de réaliser le plein potentiel mondial de la marque DIM. Le siège de DBI est situé à Rueil-Malmaison, près de Paris, avec des filiales dans toute l'Europe (DACH, Italie, Ibérie, Europe de l'Est, Canada) et des distributeurs au Moyen-Orient, en Asie et en Afrique. Son centre d'approvisionnement (fabrication et logistique) est basé à Autun, en Bourgogne, où plus de 5 milliards de collants ont été produits depuis la création de DIM ! De plus, nous sommes profondément engagés dans une stratégie dynamique ESG, structurée autour de 3 piliers : Planète, Produit, Personnes. Par exemple, la marque DIM est neutre en CO2 scope 1&2, grâce à un mix de réduction et de capture des émissions. Dans ce contexte, la direction e-commerce recrute un CRM and Data Manager en CDI. Contexte & Enjeux Sous la responsabilité de la Directrice E-commerce, vous pilotez les plans d'actions d’engagement, de fidélisation et de satisfaction client de nos différentes marques (Dim, Playtex, Abanderado, Lovable….). Le poste est basé en France (siège), d'où vous coordonnez le périmètre européen. À la tête d'une équipe de 2 personnes (un(e) Responsable CRM et un(e) Responsable Service Client), et en étroite collaboration avec les équipes IT, E-commerce et Retail, vous veillez à la cohérence de l'expérience client depuis le premier contact jusqu'au service après-vente. Manager de proximité, vous aimez le travail en équipe et apportez votre soutien opérationnel à vos collaborateurs en maîtrisant les outils du quotidien. Vos Missions Animation & Déploiement CRM / Fidélisation Superviser et accompagner la mise en œuvre opérationnelle des campagnes, des parcours clients (approche omnicanale) et des scénarios d'activation. Coordonner les projets de refonte ou d'optimisation des programmes CRM pour nos marques en Europe, en lien avec les équipes IT, E-commerce et Retail. Garantir la pertinence des ciblages et la bonne exploitation de la base de données clients (Customer Data Platform) en collaboration avec l'IT. Amélioration continue : Assurer une veille sur les bonnes pratiques du marché et proposer de nouvelles idées ou outils simples (nouveaux canaux, IA d'aide à la rédaction, etc.) pour moderniser nos pratiques. Faire évoluer le programme de fidélité de DIM France et optimiser les scénarios d’automation. Suivi des données & Reporting Suivi de la qualité de la donnée : vous comprenez les flux de données pour repérer les anomalies simples (problèmes d'import, écarts de chiffres, bugs outils) et faites le lien avec les équipes IT pour leur résolution. Suivre la performance : Suivre et mettre à jour les dashboards clés (KPIs d'engagement, conversion, rétention, NPS) pour mesurer l'impact des actions. Partage des résultats : Assurer un reporting régulier auprès de la direction et des pays pour partager les bonnes pratiques et les résultats des campagnes. Management, Support Outils & Service Client Manager et accompagner au quotidien vos 2 collaborateurs : vous les aidez à monter en compétences, suivez leur planning et débloquez avec eux les sujets du quotidien sur les outils (Klaviyo, Gladly, etc.). Superviser le Service Client européen (géré opérationnellement par votre collaborateur), en l'aidant à optimiser les process de réponse et à s'assurer du bon paramétrage de l'outil de ticketing. Profil recherché Expérience : 8 à 10 ans d'expérience en CRM, marketing relationnel ou expérience client, idéalement dans l'univers du retail ou du e-commerce. Management & Posture : Vous avez une première expérience de management et un tempérament de \"facilitateur\". Vous aimez être proche de votre équipe et l'aider concrètement sur le terrain. Sensibilité Tech & Data : Vous êtes à l'aise avec les chiffres et comprenez le fonctionnement d'une base de données. Vous êtes rigoureux(se) et savez repérer quand \"un chiffre ne colle pas\" dans un outil. Compétences outils : Vous avez une bonne maîtrise pratique des outils de gestion de campagne (idéalement Klaviyo) et de service client (Gladly ou équivalent). Qualités personnelles : Forte orientation client, rigueur, bon relationnel pour travailler avec des interlocuteurs variés (IT, Retail, pays). Langues : Anglais courant indispensable pour échanger avec nos interlocuteurs internes et prestataires. Le poste est basé à Rueil-Malmaison dans des locaux au bord de la Seine. Life @DIM : Les collaborateurs sont mis au cœur de la stratégie de l’entreprise, ce qui vous permet d'obtenir les avantages suivants : Évoluer au sein d’un environnement stimulant parmi une équipe jeune et dynamique, et relever de nouveaux défis chaque jour Profiter du restaurant d'entreprise Avoir accès aux ventes organisées par le CE et 30% de réduction sur les produits de nos boutiques et sites internet Avoir un accès à la Conciergerie (services proposés par des esthéticiennes, ostéopathes, cordonniers…) Coaching sportif", "summaryDescription" : "CRM and Data Manager at DIM Brands International. Skills: CRM, Data Management, Customer Experience, Team Leadership. Pilot engagement plans. Pilot retention plans", "postedDate" : "2026-06-14T09:40:26.019", "createdAt" : "2026-06-14T09:40:26.019", "lastUpdated" : "2026-06-15T10:19:28.809", "ingestTimestamp" : "2026-06-14T09:40:26.019", "mongoId" : "6a2c957a74d8ee00a098d2de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management", "CRM", "Data Management", "Customer Experience", "Team Leadership", "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization", "Retail", "E-commerce", "Klaviyo", "Gladly" ], "skillCount" : 19, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 612.7986, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e2074d8ee00a0af5d5b", "title" : "Data and AI Consultant", "industry" : "Consulting", "location" : "[Johannesburg, South Africa, [222, 216 Rahima Moosa St, Johannesburg, 2001, South Africa], Johannesburg, 2001, GP, ZA]", "locations" : [ "[Johannesburg, South Africa, [222, 216 Rahima Moosa St, Johannesburg, 2001, South Africa], Johannesburg, 2001, GP, ZA]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:09:43.961", "fingerprint" : "ce5f54c24f1d83855c92bcc25d7de6eb92fe29ce03d92b75ad978f7e88ee4e1a", "source" : "google", "language" : "en", "externalId" : "122332690157314758", "industryFunction" : { }, "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Data modelling", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, AI, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "AI", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and implement data science solutions, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage business intelligence dashboards, Analyze complex datasets, Provide insights and recommendations, Collaborate with stakeholders, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Client stakeholders", "domainKnowledge" : "Cloud-native architecture; Distributed systems", "domainList" : [ "cloud-native-architecture", "distributed-systems" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Distributed systems" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Client presentations; Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "summaryDescription" : "Data and AI Consultant. Skills: Data Science, AI, Machine Learning, Data Engineering. Develop and implement data science solutions. 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We own the systems that select what work a robot should attempt, monitor how it performs, and close the loop by improving models with every induct. Our platforms serve Sparrow, Cardinal, FlexCell, and Robin workcells that handle millions of packages across Amazon's fulfillment network. We operate across the full ML and data lifecycle: Work Selection Intelligence — Eligibility scoring and predictions (likelihood-to-empty, damage prediction, time-to-process, pick eligibility) that feed into work planners, determining which totes and items reach each workcell. Data & Observability — A common datalake collecting telemetry from every automated and manual workcell, fleet monitoring that detects performance degradation in real time and alerts Ops, and deep-dive tooling that enables engineers and scientists to investigate workcell behavior. ML Lifecycle — Annotation orchestration, model training pipelines, production monitoring, and deployment infrastructure that keeps models current across the fleet. Predictive Models — Science-developed foundational models applied to eligibility, fleet performance forecasting, and dynamic floor policies that adapt to changing conditions without manual intervention. Our systems process tens of millions of events daily, serve real-time scoring at workcell-runtime latency, and directly impact fulfillment cost per unit. Key job responsibilities As an SDE on FPO, you will design, build, and operate distributed systems that sit at the intersection of robotics, machine learning, and large-scale data processing. You will work closely with scientists, program leads, and partner engineering teams to translate research into production systems that operate reliably at fleet scale. Depending on the team, your work may include: - Building high-throughput, event-based scoring services that process real-time inventory signals across 10+ warehouses and hundreds of workcells - Designing config-based annotation orchestration systems that onboard new ML data pipelines without code changes - Developing model deployment infrastructure spanning edge devices, cloud inference services, and planning systems - Building fleet monitoring systems that use VLMs and statistical methods to detect performance anomalies and surface root causes - Creating unified data exploration and visualization tools used daily by engineers, scientists, and operations - Implementing ongoing learning systems that intelligently select which data to collect based on inference outcomes - Extending our foundation models, which are the backbone for multiple prediction tasks - You will own your systems end-to-end — from design through production operations — and your work will have direct, measurable impact on workcell throughput, quality, and cost. A day in the life Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team Why FPO? - Impact at scale — Your code runs on hundreds of workcells processing millions of packages. Improvements compound across the fleet. - Science meets engineering — You work alongside ML scientists and translate their research into production systems. You don't just deploy models, you build the platforms that make the entire ML lifecycle faster. - Breadth of problems — From real-time scoring services to VLM-based monitoring to data platform design, the technical surface area is wide and deep. - Ownership — Small teams, high self-governance, direct line from your work to business outcomes. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Bachelor's degree in computer science or equivalent Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience building complex software systems that have been successfully delivered to customers - Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam - Experience working in robotics, or computer vision Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually", "summaryDescription" : "Sr. Software Development Engineer, Amazon Robotics Manipulation at Amazon.com Services LLC. Skills: Software development, System design, Cloud computing. Design, develop, test, deploy, maintain, and improve software. Manage individual projects", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:58:32.441", "lastUpdated" : "2026-06-16T07:04:57.605", "ingestTimestamp" : "2026-06-15T21:58:32.441", "mongoId" : "6a305649f292fd229cf26d92", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448939/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 227400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Data structures", "Algorithms", "Cloud computing", "Problem solving", "Analytical skills", "Agile", "Scrum", "Robotics", "Manipulation", "Git", "JIRA" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 594.7751, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf3f062beec4dd3d9340ff", "title" : "Data and Analytics Architect", "company" : "ADCI HYD", "industry" : "Operations, IT, Support Engineering, Solution Architect, Cloud Computing", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data and Analytics Architect in Hyderabad, India, adjusted for the FinTech industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T07:27:32.772", "fingerprint" : "5ad498afe6ceb25c77afff66f9b663db573be509c4597dad8763d7801ca5c8cb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382143/apply", "externalId" : "fe65d693-5feb-466a-8c26-5393f1ddf5b6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Redshift, S3, AWS Glue, Amazon Athena, Amazon QuickSight, AWS Lambda, EMR, Kinesis, FireHose, IAM, SAP", "professionalSkills" : [ "Data engineering", "Analytics architecture", "Data platform design", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Data pipelines", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration" ], "hardSkillsList" : [ "Data 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"intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data security", "level" : "intermediate" }, { "name" : "Operational controls", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" } ], "majorSkills" : "Data architecture, AWS data services, Data platform design", "majorSkillsList" : [ "Data architecture", "AWS data services", "Data platform design" ], "coreResponsibilities" : "Lead design of data solutions, Lead implementation of data solutions, Lead support of data solutions, Architect data platforms using AWS, Define data ingestion patterns, Implement data ingestion patterns, Define data transformation patterns, Implement data transformation patterns, Define data storage patterns, Implement data storage patterns, Define semantic modeling patterns, Implement semantic modeling patterns, Define reporting patterns, Implement reporting patterns, Define analytics patterns, Implement analytics patterns, Design data pipelines, Optimize data pipelines, Design batch data processing, Optimize batch data processing, Design near real-time processing, Optimize near real-time processing, Design reporting architectures, Optimize reporting architectures, Ensure data quality, Ensure data governance, Ensure data security, Ensure operational controls, Work with business teams, Work with finance teams, Work with IT teams, Work with application teams, Design reliable data solutions, Design scalable data solutions, Develop architecture standards, Maintain architecture standards, Develop design documents, Maintain design documents, Develop data flow diagrams, Maintain data flow diagrams, Develop support procedures, Maintain support procedures, Monitor data pipelines, Monitor analytics platforms, Monitor reporting solutions, Drive corrective actions", "teamCollaboration" : "Business teams; Finance teams; IT teams; Application teams", "domainKnowledge" : "FinTech; SAP data; Finance reporting; Supply chain reporting; Enterprise operational reporting", "domainList" : [ "fintech", "sap-data", "finance-reporting", "supply-chain-reporting", "enterprise-operational-reporting" ], "domainSpecificKnowledge" : [ "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "documentationSkills" : "Design documents; Data flow diagrams", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "6+ years data engineering experience, 8+ years analytics experience, Experience designing scalable data pipelines, Experience designing cloud-based analytics solutions, Excellent analytical skills, Excellent problem-solving skills, Excellent stakeholder management skills, Ability to work independently, Ability to work as part of a team", "qualificationsPreferred" : "Knowledge of SAP data platforms, Experience with real-time data processing, Experience with event-driven data processing, Experience with data lake architecture, Experience with data warehouse architecture, Experience with hybrid analytics architecture, Experience with enterprise reporting, Experience with KPI frameworks, Experience with dashboard design, Knowledge of finance reporting domains, Knowledge of supply chain reporting domains, Knowledge of enterprise operational reporting domains, Experience leading data modernization initiatives, Experience leading cloud transformation initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data and Analytics Architect to join our team. The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage. Key job responsibilities * Lead the design, implementation, and support of enterprise data and analytics solutions on AWS. * Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSuite, AWS Lambda, and related AWS data services. * Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources. * Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures. * Ensure data quality, governance, security, and operational controls are built into the platform architecture. * Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements. * Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures. * Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions. * Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms. * Support integration with enterprise platforms, including SAP and non-SAP systems where required. Basic Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - 6+ years of data engineering, database engineering, business intelligence or business analytics experience - 8+ years of relevant experience in data engineering, analytics, data warehousing, or enterprise data platform implementation and support. - Experience designing scalable data pipelines and cloud-based analytics solutions across complex enterprise environments. - Excellent analytical, problem-solving, and stakeholder management skills, with the ability to work independently and as part of a team. Preferred Qualifications: - Knowledge of SAP data and analytics platforms such as SAP S/4HANA, BW, Datasphere, or SAC is good to have. - Experience with real-time or event-driven data processing patterns. - Experience with data lake, data warehouse, and hybrid analytics architecture patterns. - Experience with enterprise reporting, KPI frameworks, and dashboard design. - Knowledge of finance, supply chain, or enterprise operational reporting domains. - Experience leading data modernization or cloud transformation initiatives. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data and Analytics Architect at ADCI HYD. Skills: Data architecture, AWS data services, Data platform design. Lead design of data solutions. 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"Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration", "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "skillCount" : 42, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 594.3945, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3092acf292fd229c0c3aec", "title" : "Senior Information Security Analyst, GRC and Responsible AI", "company" : "Sandisk", "industry" : "Computer Hardware", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Information Security Analyst in Irvine, United States, adjusted for the technology industry and company size." }, "location" : 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protection", "Model behavior analysis", "Agent behavior analysis", "AI attack surfaces" ], "hardSkills" : [ { "name" : "Risk assessment", "level" : "intermediate" }, { "name" : "Threat modeling", "level" : "intermediate" }, { "name" : "Data protection", "level" : "intermediate" }, { "name" : "Model behavior analysis", "level" : "intermediate" }, { "name" : "Agent behavior analysis", "level" : "intermediate" }, { "name" : "AI attack surfaces", "level" : "intermediate" } ], "majorSkills" : "GRC, Responsible AI, Risk assessment", "majorSkillsList" : [ "GRC", "Responsible AI", "Risk assessment" ], "coreResponsibilities" : "Drive security intake for AI use cases, Drive risk assessment for AI use cases, Drive ongoing oversight of AI use cases, Drive security intake for AI platforms, Drive risk assessment for AI platforms, Drive ongoing oversight of AI platforms, Drive security intake for AI models, Drive risk assessment for AI models, Drive ongoing oversight of AI models, Drive security intake for third-party vendors, Drive risk assessment for third-party vendors, Drive ongoing oversight of third-party vendors, Lead technical risk assessments, Lead threat modeling, Design practical controls, Recommend practical controls, Design scalable controls, Recommend scalable controls, Partner with Legal, Partner with Privacy, Partner with Procurement, Partner with IT, Partner with Engineering, Partner with business stakeholders, Advance regulatory objectives, Advance contractual objectives, Advance governance objectives, Shape AI governance policies, Shape AI governance standards, Shape AI governance operating procedures, Prepare materials for governance reviews, Build operating model for securing AI, Apply system-level thinking across functions, Drive consistency across functions, Drive scale across functions, Anticipate emerging AI risks, Recommend adjustments to controls, Recommend adjustments to processes, Recommend adjustments to standards, Strengthen enterprise risk management, Conduct technical risk assessments, Conduct business process risk assessments, Document treatment recommendations, Support internal audits, Support external audits, Drive remediation activities", "teamCollaboration" : "Cross-functional stakeholders; Legal; IT; Procurement; Business leaders; Privacy; Engineering", "domainKnowledge" : "Responsible AI; GenAI; Information Security Governance; Risk Management; ISO 27001; NIST CSF 2.0; NIST AI RMF; ISO/IEC 42001; Data protection; AI attack surfaces", "domainList" : [ "responsible-ai", "genai", "information-security-governance", "risk-management", "iso-27001", "nist-csf-2-0", "nist-ai-rmf", "iso-iec-42001", "data-protection", "ai-attack-surfaces" ], "domainSpecificKnowledge" : [ "Responsible AI", "GenAI", "Information Security Governance", "Risk Management", "ISO 27001", "NIST CSF 2.0", "NIST AI RMF", "ISO/IEC 42001", "Data protection", "AI attack surfaces" ], "problemSolvingSkills" : "Risk assessment; Threat modeling; Root cause analysis", "qualificationsBasic" : "5+ years security professional experience, Experience operating independently, Experience influencing cross-functional stakeholders, Experience translating risks into governance solutions, Experience leading GenAI security risk assessments, Experience defining governance standards, Experience partnering with Legal, IT, Procurement, business leaders, Experience advancing regulatory, contractual, governance objectives related to AI, Experience shaping AI governance policies, standards, operating procedures, Experience preparing materials for governance reviews, Experience building end-to-end operating model for securing AI, Experience applying program and system-level thinking, Experience anticipating emerging AI risks, Experience recommending adjustments to controls, processes, standards, Experience strengthening enterprise information security risk management, Experience conducting technical and business process risk assessments, Experience documenting treatment recommendations, Experience supporting internal and external audits, Experience driving remediation activities", "qualificationsPreferred" : "Responsible AI experience, GenAI security risk assessment experience, Experience with ISO 27001, Experience with NIST CSF 2.0, Experience with NIST AI RMF, Experience with ISO/IEC 42001", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description Senior Information Security Analyst, GRC and Responsible AI As a Senior Information Security Analyst (Level 4), you will play a key role in shaping and operationalizing Sandisk’s enterprise Information Security Governance, Risk Management, and Strategy function, with a particular focus on Responsible GenAI. This is a senior, hands‑on role for an experienced security professional who can operate independently, influence cross‑functional stakeholders, and translate emerging technology risks into practical, scalable governance solutions. You will lead GenAI security risk assessments, help define governance standards, and partner closely with Legal, IT, Procurement, and business leaders to ensure AI adoption is secure, compliant, and aligned with Sandisk’s risk appetite. In addition to AI governance, you will contribute to the evolution of Sandisk’s enterprise risk management frameworks, supporting risk‑based decision‑making, strategy, and continuous improvement across the organization. Key Responsibilities Responsible AI Security * Drive security intake, risk assessment, and ongoing oversight of enterprise AI use cases, platforms, models, and third-party vendors. * Lead technical risk assessments and threat modeling covering data protection, identity and access, integration patterns, model and agent behavior, and emerging AI attack surfaces. * Design and recommend practical, scalable controls aligned with enterprise security standards and secure-by-design principles. * Partner with Legal, Privacy, Procurement, IT, Engineering, and business stakeholders to advance regulatory, contractual, and governance objectives related to AI. * Shape AI governance policies, standards, and operating procedures, and prepare materials for governance reviews. Program and System Thinking * Help build the end-to-end operating model for securing AI, from intake through approval and monitoring. * Apply program and system-level thinking across functions to drive consistency and scale. * Anticipate emerging AI risks and recommend adjustments to controls, processes, and standards. Core GRC * Strengthen enterprise information security risk management aligned with ISO 27001, NIST CSF 2.0, NIST AI RMF, and ISO/IEC 42001. * Conduct technical and business process risk assessments and document treatment recommendations. * Support internal and external audits with metrics, evidence, and analysis, and drive remediation activities. ## Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"[Know Your Rights: Workplace Discrimination is Illegal](https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12.pdf)” poster. Our pay transparency policy is available [here](https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp%20EnglishformattedESQA508c.pdf). Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@sandisk.com](mailto:jobs.accommodations@sandisk.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 01/15/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. Required Qualifications * Bachelor's degree in information security, Computer Science, Engineering, or a related discipline, or equivalent experience. * 6+ years of progressive experience in Information Security, including exposure to GRC, risk management, or security governance in a complex enterprise environment. * Demonstrated technical proficiency in security, including hands-on experience with threat modeling, technical risk assessment, or security architecture reviews. * Working knowledge of AI security frameworks and standards, including OWASP Top 10 for LLM Applications, NIST AI Risk Management Framework (AI RMF), and ISO/IEC 42001, with familiarity in applying these to real-world use cases. * Practical understanding of AI and generative AI technologies and associated risks, including data protection, access management, model misuse, and supply chain considerations. * Familiarity with AI governance standards such as NIST AI RMF and ISO/IEC 42001. Preferred Qualifications * Background in software development, security engineering, application security, cloud security, or security architecture. * Familiarity with secure development practices, secure-by-design principles, and modern engineering environments such as cloud, APIs, containers, and CI/CD pipelines. * Experience applying threat modeling methodologies (such as STRIDE, PASTA, or attack tree analysis) to enterprise systems or AI workloads. * Professional certifications such as CISSP, CISM, CRISC, or GSNA. * Technical security certifications such as GCIH, GPEN, CEH, OSCP, GWAPT, or CSSLP. * Hands-on experience with AI, ML, or generative AI in a security, risk, engineering, or architecture capacity. * Exposure to emerging AI integration patterns, agentic systems, or AI red teaming. Skills and Attributes * Strong intellectual curiosity and a self-driven approach to learning new technologies. * Effective communication skills, with the ability to explain complex technical and AI concepts to a range of audiences. * Ability to influence and drive outcomes in cross-functional, matrixed environments. * Pragmatic, outcome-focused, and comfortable operating in ambiguity. * Strong program and system-level thinking, with the ability to connect technical decisions to business impact. #LI-TS1 Compensation & Benefits Details * An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. * The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. * You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards. * We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan. * Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.", "summaryDescription" : "Senior Information Security Analyst, GRC and Responsible AI at Sandisk. Skills: GRC, Responsible AI, Risk assessment. Drive security intake for AI use cases. Drive risk assessment for AI use cases", "postedDate" : "2026-06-15T16:41:47.000", "createdAt" : "2026-06-16T03:36:35.715", "lastUpdated" : "2026-06-16T11:20:53.196", "ingestTimestamp" : "2026-06-16T03:36:35.715", "mongoId" : "6a3092acf292fd229c0c3aec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Risk assessment", "Threat modeling", "Data protection", "Model behavior analysis", "Agent behavior analysis", "AI attack surfaces", "GRC", "Responsible AI", "Risk management", "Governance", "Strategy", "Secure-by-design", "GenAI", "Information Security Governance", "Risk Management", "ISO 27001", "NIST CSF 2.0", "NIST AI RMF", "ISO/IEC 42001" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 591.5228, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3080e2f292fd229c068076", "title" : "Senior Information Security Analyst, GRC and Responsible AI", "company" : "Sandisk", "industry" : "Computer Hardware", "salary" : { "min" : 145000.0, "max" : 205000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Information Security Analyst, GRC and Responsible AI in Irvine, United States, adjusted for seniority and industry." }, "location" : "Irvine, CA, United States", "locations" : [ "Irvine", "CA", "United States" ], "timestamp" : "2026-06-16T12:53:21.321", "fingerprint" : "1d099c1eacbb4ce579c9886fbbdcc870e7aa2c25d1be5940c1f83908c9680cf3", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sandisk/744000132247129-information-security-analyst-4", "externalId" : "744000132247129", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AI, GenAI, Machine Learning", "professionalSkills" : [ "Risk assessment", "Threat modeling", "Governance" ], "hardSkillsList" : [ "Information security", "Risk management", "AI governance", "Threat analysis", "Control design" ], "hardSkills" : [ { "name" : "Information security", "level" : "intermediate" }, { "name" : "Risk management", "level" : "intermediate" }, { "name" : "AI governance", "level" : "intermediate" }, { "name" : "Threat analysis", "level" : "intermediate" }, { "name" : "Control design", "level" : "intermediate" } ], "majorSkills" : "GRC, Responsible AI, Risk management", "majorSkillsList" : [ "GRC", "Responsible AI", "Risk management" ], "coreResponsibilities" : "Drive security intake for AI use cases, Drive risk assessment for AI use cases, Drive ongoing oversight for AI use cases, Lead technical risk assessments, Lead threat modeling, Design scalable controls, Recommend scalable controls, Partner with stakeholders to advance objectives, Shape AI governance policies, Shape AI governance standards, Shape AI governance operating procedures, Prepare materials for governance reviews, Build operating model for securing AI, Apply program-level thinking, Apply system-level thinking, Anticipate emerging AI risks, Recommend adjustments to controls, Recommend adjustments to processes, Recommend adjustments to standards, Strengthen risk management, Conduct technical risk assessments, Conduct business process risk assessments, Document treatment recommendations, Support internal audits, Support external audits, Drive remediation activities", "teamCollaboration" : "Cross-functional stakeholders; Legal; IT; Procurement; Business leaders; Privacy; Engineering", "domainKnowledge" : "ISO 27001; NIST CSF 2.0; NIST AI RMF; ISO/IEC 42001; Responsible AI; GenAI", "domainList" : [ "iso-27001", "nist-csf-2-0", "nist-ai-rmf", "iso-iec-42001", "responsible-ai", "genai" ], "domainSpecificKnowledge" : [ "ISO 27001", "NIST CSF 2.0", "NIST AI RMF", "ISO/IEC 42001", "Responsible AI", "GenAI" ], "qualificationsBasic" : "5+ years security professional experience, Experience operating independently, Experience influencing cross-functional stakeholders, Experience translating risks to governance solutions, Experience leading GenAI security risk assessments, Experience defining governance standards, Experience partnering with Legal, IT, Procurement, business leaders, Experience contributing to enterprise risk management frameworks, Experience supporting risk-based decision-making, Experience supporting strategy, Experience supporting continuous improvement, Experience driving security intake for AI use cases, Experience driving risk assessment for AI use cases, Experience driving ongoing oversight for AI use cases, Experience leading technical risk assessments, Experience leading threat modeling, Experience designing scalable controls, Experience recommending scalable controls, Experience partnering with Legal, Privacy, Procurement, IT, Engineering, business stakeholders, Experience advancing regulatory objectives related to AI, Experience advancing contractual objectives related to AI, Experience advancing governance objectives related to AI, Experience shaping AI governance policies, Experience shaping AI governance standards, Experience shaping AI governance operating procedures, Experience preparing materials for governance reviews, Experience building end-to-end operating model for securing AI, Experience applying program-level thinking, Experience applying system-level thinking, Experience anticipating emerging AI risks, Experience recommending adjustments to controls, Experience recommending adjustments to processes, Experience recommending adjustments to standards, Experience strengthening enterprise information security risk management, Experience conducting technical risk assessments, Experience conducting business process risk assessments, Experience documenting treatment recommendations, Experience supporting internal audits, Experience supporting external audits, Experience driving remediation activities", "qualificationsPreferred" : "Responsible AI focus, GenAI focus, NIST AI RMF knowledge, ISO/IEC 42001 knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description Senior Information Security Analyst, GRC and Responsible AI As a Senior Information Security Analyst (Level 4), you will play a key role in shaping and operationalizing Sandisk’s enterprise Information Security Governance, Risk Management, and Strategy function, with a particular focus on Responsible GenAI. This is a senior, hands‑on role for an experienced security professional who can operate independently, influence cross‑functional stakeholders, and translate emerging technology risks into practical, scalable governance solutions. You will lead GenAI security risk assessments, help define governance standards, and partner closely with Legal, IT, Procurement, and business leaders to ensure AI adoption is secure, compliant, and aligned with Sandisk’s risk appetite. In addition to AI governance, you will contribute to the evolution of Sandisk’s enterprise risk management frameworks, supporting risk‑based decision‑making, strategy, and continuous improvement across the organization. Key Responsibilities Responsible AI Security * Drive security intake, risk assessment, and ongoing oversight of enterprise AI use cases, platforms, models, and third-party vendors. * Lead technical risk assessments and threat modeling covering data protection, identity and access, integration patterns, model and agent behavior, and emerging AI attack surfaces. * Design and recommend practical, scalable controls aligned with enterprise security standards and secure-by-design principles. * Partner with Legal, Privacy, Procurement, IT, Engineering, and business stakeholders to advance regulatory, contractual, and governance objectives related to AI. * Shape AI governance policies, standards, and operating procedures, and prepare materials for governance reviews. Program and System Thinking * Help build the end-to-end operating model for securing AI, from intake through approval and monitoring. * Apply program and system-level thinking across functions to drive consistency and scale. * Anticipate emerging AI risks and recommend adjustments to controls, processes, and standards. Core GRC * Strengthen enterprise information security risk management aligned with ISO 27001, NIST CSF 2.0, NIST AI RMF, and ISO/IEC 42001. * Conduct technical and business process risk assessments and document treatment recommendations. * Support internal and external audits with metrics, evidence, and analysis, and drive remediation activities. ## Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the \"[Know Your Rights: Workplace Discrimination is Illegal](https://www.eeoc.gov/sites/default/files/2023-06/22-088EEOCKnowYourRights6.12.pdf)” poster. Our pay transparency policy is available [here](https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp%20EnglishformattedESQA508c.pdf). Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@sandisk.com](mailto:jobs.accommodations@sandisk.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 01/15/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. Required Qualifications * Bachelor's degree in information security, Computer Science, Engineering, or a related discipline, or equivalent experience. * 6+ years of progressive experience in Information Security, including exposure to GRC, risk management, or security governance in a complex enterprise environment. * Demonstrated technical proficiency in security, including hands-on experience with threat modeling, technical risk assessment, or security architecture reviews. * Working knowledge of AI security frameworks and standards, including OWASP Top 10 for LLM Applications, NIST AI Risk Management Framework (AI RMF), and ISO/IEC 42001, with familiarity in applying these to real-world use cases. * Practical understanding of AI and generative AI technologies and associated risks, including data protection, access management, model misuse, and supply chain considerations. * Familiarity with AI governance standards such as NIST AI RMF and ISO/IEC 42001. Preferred Qualifications * Background in software development, security engineering, application security, cloud security, or security architecture. * Familiarity with secure development practices, secure-by-design principles, and modern engineering environments such as cloud, APIs, containers, and CI/CD pipelines. * Experience applying threat modeling methodologies (such as STRIDE, PASTA, or attack tree analysis) to enterprise systems or AI workloads. * Professional certifications such as CISSP, CISM, CRISC, or GSNA. * Technical security certifications such as GCIH, GPEN, CEH, OSCP, GWAPT, or CSSLP. * Hands-on experience with AI, ML, or generative AI in a security, risk, engineering, or architecture capacity. * Exposure to emerging AI integration patterns, agentic systems, or AI red teaming. Skills and Attributes * Strong intellectual curiosity and a self-driven approach to learning new technologies. * Effective communication skills, with the ability to explain complex technical and AI concepts to a range of audiences. * Ability to influence and drive outcomes in cross-functional, matrixed environments. * Pragmatic, outcome-focused, and comfortable operating in ambiguity. * Strong program and system-level thinking, with the ability to connect technical decisions to business impact. #LI-TS1 Compensation & Benefits Details * An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. * The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. * You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards. * We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan. * Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.", "summaryDescription" : "Senior Information Security Analyst, GRC and Responsible AI at Sandisk. Skills: GRC, Responsible AI, Risk management. Drive security intake for AI use cases. Drive risk assessment for AI use cases", "postedDate" : "2026-06-15T16:41:47.000", "createdAt" : "2026-06-16T01:42:10.630", "lastUpdated" : "2026-06-16T12:53:21.321", "ingestTimestamp" : "2026-06-16T01:42:10.630", "mongoId" : "6a3080e2f292fd229c068076", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 205000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Information security", "Risk management", "AI governance", "Threat analysis", "Control design", "GRC", "Responsible AI", "Risk assessment", "Threat modeling", "Governance", "ISO 27001", "NIST CSF 2.0", "NIST AI RMF", "ISO/IEC 42001", "GenAI" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 591.5228, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305099f292fd229cef29d0", "title" : "Data Engineer", "company" : "Neara", "industry" : "Customer Success", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Engineer in Vilnius, Lithuania, adjusted for the Climate Tech industry." }, "location" : "Vilnius", "locations" : [ "Vilnius" ], "timestamp" : "2026-06-16T08:45:08.129", "fingerprint" : "159370acaf6a63a06ee69f6b7e133c73032db269ebf22a644350ae00192a2484", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/neara/59781d7c-b0f4-491f-bc80-972fc11959e2/application", "externalId" : "59781d7c-b0f4-491f-bc80-972fc11959e2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vilnius", "country" : "Lithuania", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "54.6870458,25.2829111" } ], "locationText" : "Vilnius, Lithuania", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, GIS, LiDAR", "professionalSkills" : [ "Data manipulation", "Configuration management", "Quality assurance", "Reporting", "Dashboarding" ], "hardSkillsList" : [ "Geospatial data", "Asset data", "Physics simulation" ], "hardSkills" : [ { "name" : "Geospatial data", "level" : "intermediate" }, { "name" : "Asset data", "level" : "intermediate" }, { "name" : "Physics simulation", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Digital twins, Machine learning", "majorSkillsList" : [ "Data Engineering", "Digital twins", "Machine learning" ], "coreResponsibilities" : "Contribute to end-to-end deployment, Ingest and manipulate massive datasets, Configure models using schema language, Ensure engineering grade accuracy, Perform rigorous QA/QC, Build custom reports, Build custom dashboards, Provide feedback on process improvements, Provide feedback on tool improvements", "teamCollaboration" : "Deployment Team; Product; Engineering", "domainKnowledge" : "Electricity grids; Digital twin technology; Power grids; Energy future", "domainList" : [ "electricity-grids", "digital-twin-technology", "power-grids", "energy-future" ], "domainSpecificKnowledge" : [ "Electricity grids", "Digital twin technology", "Power grids", "Energy future" ], "communicationSkills" : "Articulate technical configurations; Technical documentation", "documentationSkills" : "User manuals", "continuousLearning" : "Gain expert-level proficiency; Exposure to cutting edge technology", "innovationCreativity" : "Influence product roadmap; Automate deployment processes", "problemSolvingSkills" : "Break down complex data discrepancies; Systematically reconfigure models", "qualificationsBasic" : "Proven experience as Data Engineer, Proficiency in SQL, Python, or similar, Ability to learn new schema language, Excellent written communication skills, Fluent English", "qualificationsPreferred" : "Background in engineering, mathematics, software engineering, or computer science, Familiarity with GIS, CAD geoprocessing, or LiDAR data", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure. By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe. Data Engineer As a Data Engineer, you will transform raw utility and geospatial data into high accuracy digital twin models of electricity networks. You will work with GIS, LiDAR, and asset data sets, configure models using Neara’s schema language, and ensure engineering grade accuracy. You will join the Deployment Team responsible for delivering the Neara platform to utility customers worldwide. What You Will Do: - Contribute to the end-to-end deployment of the Neara platform for utility customers worldwide. - Ingest and manipulate massive datasets (LiDAR, GIS, and asset databases) using Neara’s schema language and configuration framework. - Perform rigorous QA/QC to ensure the digital twin accurately reflects real-world physics and customer specifications. - Build custom reports and dashboards within the platform to drive actionable insights for utility engineers. - Work closely with Product and Engineering to provide feedback on process and tool improvements to speed up future deployments. Who You Are: - Proven experience as a Data Engineer, Implementation Engineer, Integration Engineer, Software Engineer, or similar role. - Proficiency in at least one major language (such as SQL, Python, or similar) and a demonstrated ability to learn a new language. You should be comfortable learning and mastering a new schema language to manipulate data and build reports. - Excellent written communication skills with experience contributing to internal knowledge bases and external user manuals. Ability to articulate technical configurations clearly to diverse audiences in fluent English. - A background in engineering, mathematics, software engineering, computer science, or a related field is preferred. Familiarity with GIS, CAD geoprocessing, or LiDAR data can be beneficial to accelerate the learning curve for this platform. - The ability to break down complex data discrepancies and systematically reconfigure models to ensure 100% accuracy. What We Offer: - We offer a competitive salary and private health insurance, 20 days of holiday plus a \"birthday leave\" day, and a flexible, team-driven environment with the option to work remotely or hybrid from our offices in Vilnius (complete with office snacks). - Your work directly impacts the safety and reliability of global power grids, helping utilities prevent wildfires and prepare for climate-driven weather events. - You’ll gain expert-level proficiency in our engineering-grade 3D modeling environment and exposure to the cutting edge of Digital Twin technology. - We are scaling fast. As a Data Engineer, you’ll be at the forefront of our delivery engine, with opportunities to influence our product roadmap and automate our core deployment processes. #LI-NT1", "summaryDescription" : "Data Engineer at Neara. Skills: Data Engineering, Digital twins, Machine learning. Contribute to end-to-end deployment. Ingest and manipulate massive datasets", "createdAt" : "2026-06-16T00:27:05.753", "lastUpdated" : "2026-06-16T08:45:08.129", "ingestTimestamp" : "2026-06-16T00:27:05.753", "mongoId" : "6a305099f292fd229cef29d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Geospatial data", "Asset data", "Physics simulation", "Data Engineering", "Digital twins", "Machine learning", "Data manipulation", "Configuration management", "Quality assurance", "Reporting", "Dashboarding", "Electricity grids", "Digital twin technology", "Power grids", "Energy future" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 590.7, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 585.36694, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3066fff292fd229cfb805a", "title" : "Manager, International Data and Strategy", "company" : "The National Football League", "industry" : "Sports & Fitness", "salary" : { "min" : 125000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:06:39.308", "fingerprint" : "e94f06cfdc68def5c408265f1856d6fe9ae9b66f2e39878d1bcb2aa5fb6e5d61", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nflcareers/jobs/5263067008", "externalId" : "5263067008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AWS Redshift, Adobe Marketing Suite, AEP, AEM, AJO, Power BI, Tableau", "professionalSkills" : [ "Data strategy", "Product ownership", "Technical leadership" ], "hardSkillsList" : [ "Data governance", "Data lakes", "Cloud data platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership", "Influencing" ], "hardSkills" : [ { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data lakes", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Influencing" } ], "majorSkills" : "Data strategy, Product ownership, Technical leadership", "majorSkillsList" : [ "Data strategy", "Product ownership", "Technical leadership" ], "coreResponsibilities" : "Develop data strategy, Own product roadmaps, Lead technical initiatives, Manage enterprise-scale data initiatives, Oversee cloud data platforms, Oversee data lakes, Oversee governance frameworks, Ensure privacy and compliance, Manage consent data, Engage senior leaders, Work with technical partners, Motivate teams", "teamCollaboration" : "Cross-functional teams; Matrixed organization", "domainKnowledge" : "Fan engagement; Lifecycle marketing", "domainList" : [ "fan-engagement", "lifecycle-marketing" ], "domainSpecificKnowledge" : [ "Fan engagement", "Lifecycle marketing" ], "toolProficiency" : [ "AWS Redshift", "Adobe Marketing Suite", "Power BI", "Tableau" ], "communicationSkills" : "Senior leader engagement; Technical partner communication", "specialRequirements" : "No relocation assistance", "qualificationsBasic" : "5+ years in data strategy, 5+ years in product ownership, 5+ years in technical leadership, Master’s degree or higher, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "Advanced degree preferred, Experience with privacy and compliance standards, Experience with GDPR/CCPA, Experience with consent data management, Knowledge of sports or fan-focused businesses, Understanding of fan engagement, Understanding of lifecycle marketing, Experience with AWS Redshift, Experience with Adobe Marketing Suite, Experience with AEP, Experience with AEM, Experience with AJO, Experience with Power BI, Experience with Tableau, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a highly motivated Manager, International Data advanced degree preferred. 5+ years in data strategy, product ownership, or technical leadership roles. Exposure to enterprise-scale data initiatives, including cloud data platforms, data lakes, and governance frameworks. Experience with privacy and compliance standards, including GDPR/CCPA and consent data management, is preferred. Knowledge of sports or fan-focused businesses, including an understanding of fan engagement and lifecycle marketing, is an advantage. Proven experience working with AWS Redshift, Adobe Marketing Suite (AEP, AEM, AJO), BI Tools like Power BI, Tableau in a production environment is a plus. Demonstrated track record of collaborating across cross-functional teams and influencing decisions in a matrixed organization without direct reporting authority. Excellent communication skills with a demonstrated ability to engage senior leaders, work effectively with technical partners, and motivate teams to achieve high performance. Other Key Attributes / Characteristics Master’s degree or higher in statistics, data science, computer science, or other data related fields Terms / Expected Hours of Work Limited Travel Salary / Pay Range This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job in the location(s) specified. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range. Salary $125,000—$160,000 USD Benefits Information To learn more about our comprehensive benefits offerings, please visit: NFL BENEFITS At the NFL, in-person work at our offices is a top priority because it allows us to collaborate more effectively, build stronger connections, and maintain the culture that drives our success. This role requires onsite presence at an NFL office or stadium location, and remote and/or hybrid working options are not offered. NO RELOCATION ASSISTANCE WILL BE PROVIDED. The NFL is committed to building an inclusive work environment that reflects our incredible fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, and local laws. WHO WE ARE: NFL Core Values: Respect: Everyone matters. We celebrate diverse opinions, honor hard work, and value every contribution. Integrity: We do what's right, even when it's tough. We hold ourselves accountable and always follow through. Team Responsibility: We support each other and our communities. No one is bigger than the game, and every action impacts others. Resiliency: We set high standards, overcome adversity, and adapt to challenges, always striving for excellence. NFL Leadership Attributes: Build Talent: We develop and nurture potential, empowering individuals to grow and succeed. Execute: We take action with precision, delivering results that drive our goals forward. Inspire: We motivate others through vision, energy, and a commitment to excellence. Live Our Values: We embody our core principles in every decision and action. Know the Business: We stay informed, understand our industry, and make decisions that strengthen our position. Think Big: We challenge the status quo, envision bold possibilities, and strive for transformative impact WHO YOU ARE: Talent Attributes: What we expect for our employees: Embody an enthusiastic, proactive can-do attitude Embrace grit, free from ego or entitlement Excel as a relationship builder, with the ability to influence Eager learner, driven by passion rather than just ambition Encompasses an incredible work ethic with an agile mindset", "summaryDescription" : "Manager, International Data and Strategy at The National Football League. Skills: Data strategy, Product ownership, Technical leadership. Develop data strategy. 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"country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, SQL, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Kubernetes, Terraform, Kafka, Flink, Apache Beam, Lambda, Kinesis, Pub/Sub", "professionalSkills" : [ "Data strategy", "Data modeling", "Business intelligence", "Data governance", "ML systems engineering", "Product intelligence", "AI-powered services", "Data-driven decision-making", "Scalable data engineering", "AI/ML systems", "Cloud-based data architectures", "Real-time analytics", "ML/AI-driven solutions", "Client needs", "Data-as-a-product", "Data assets", "Real-time analytics", "AI-powered automation", "Data-driven insights", "Self-service analytics", "Data pipelines", "Enterprise warehousing", "ML training", "Business reporting", "AI-powered features", "Anomaly detection", "Personalization", "Cost optimization", "MLOps", "CI/CD", "Real-time inference", "Recommendations", "Predictive analytics", "NLP", "Generative AI", "Ethical AI", "AI standards", "BI tools", "Dashboards", "Product analytics", "User behavior", "Feature engagement", "Embedded analytics", "SaaS metrics", "Data privacy", "Data security", "Compliance", "Data lineage", "Metadata management", "MDM", "RBAC", "ABAC", "ReBac", "Data sharing", "Data democratization", "Trusted data", "Documented data", "Team leadership", "Budget management", "Product innovations", "Multi-tenant SaaS", "Customer-facing analytics", "Emerging AI trends", "Responsible AI frameworks" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "AI/ML Engineering", "Data Strategy", "Business Intelligence" ], "coreResponsibilities" : "Define and execute data and AI strategy, Lead cross-functional teams, Establish data-as-a-product principles, Drive innovation in real-time analytics, Partner with Product, Engineering, and Customer Success teams, Design and oversee high-scale, cloud-native data architectures, Implement highly available, fault-tolerant data pipelines, Lead data modeling initiatives, Work with engineering teams to embed AI-powered features, Drive observability, monitoring, and cost optimization, Oversee the development of ML/AI models, Implement MLOps best practices, Lead initiatives in AI-powered recommendations, Ensure bias-free, ethical AI practices, Build and manage BI tools, Develop product analytics frameworks, Implement embedded analytics solutions, Optimize reporting for SaaS metrics, Own data governance frameworks, Define and implement data lineage, Drive role-based access controls, Champion data democratization", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Customer Success teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "B2B SaaS; Cloud-native architecture; Multi-tenant SaaS; SaaS metrics; GDPR; SOC 2; PIPEDA; CCPA", "domainList" : [ "b2b-saas", "cloud-native-architecture", "multi-tenant-saas", "saas-metrics", "gdpr", "soc-2", "pipeda", "ccpa" ], "domainSpecificKnowledge" : [ "B2B SaaS", "Cloud-native architecture", "Multi-tenant SaaS", "SaaS metrics", "GDPR", "SOC 2", "PIPEDA", "CCPA" ], "toolProficiency" : [ "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Growth opportunities", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "10+ years of experience in data engineering, AI/ML, or analytics leadership roles, SQL proficiency, Master's or PhD in", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity. Skills: Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence. Define and execute data and AI strategy. 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CIA triad; ISO 27001:2022; ISO 27701:2019; GDPR; Data protection principles", "domainList" : [ "information-security-concepts", "cia-triad", "iso-27001-2022", "iso-27701-2019", "gdpr", "data-protection-principles" ], "domainSpecificKnowledge" : [ "Information security concepts", "CIA triad", "ISO 27001:2022", "ISO 27701:2019", "GDPR", "Data protection principles" ], "toolProficiency" : [ "Excel", "Word", "Teams", "SharePoint" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Online learning platform", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "Basic understanding of information security concepts, Awareness of ISO 27001 or similar standards, Proficiency in Microsoft 365 tools, Familiarity with basic IT systems, Degree in Information Security, IT or related field, Internship, placement, or entry-level experience in IT or security", "qualificationsPreferred" : "Exposure to ISO 27001:2022 or ISO 27701:2019 environments, Knowledge of GDPR or data protection principles, ISO 27001 Foundation / Lead Implementer / Lead Auditor, ISO 27701 Foundation, CompTIA Security+, Certified Information Security Manager (CISM) or similar", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Quadient , we support businesses of all sizes in their digital transformation and growth journey, unlocking operational efficiency with reliable, secure, and sustainable automation processes. Our success in delivering innovation and business growth is inspired by the connections our diverse teams create every day, with our clients and each other. It’s these connections that make Quadient such an exceptional place to grow your career, develop your skills and make a real impact – help our future-focused business lead the way in powering secure and sustainable business connections through digital and physical channels. The role assists the Information Security Team to ensure that security controls are implemented, monitored, and maintained in accordance with regulatory, contractual, and organisational requirements. The successful applicant will also engage with other areas of the business to assist with their Information Security enquiries, as well as helping ensure that a strong security and privacy culture is maintained across the organisation. Your role in our future: * Assist with the administration and maintenance of Quadient’s ISO 27001:2022/ISO 27701:2019 certified ISMS/PIMS * Investigate and resolve security incidents * Maintain risk registers and ensure risks are identified, recorded, assessed, and treated appropriately * Maintain legal registers * Complete supplier security assessments * Support internal and external audits, including certification and surveillance audits. * Support management reviews with relevant metrics and insights * Assist with information security enquiries from other business areas and promote adherence to Quadient’s policies and best practices ## Qualifications Your profile: * Basic understanding of information security concepts (CIA triad, risk, controls) * Awareness of ISO 27001 or similar standards (academic or practical exposure) * Proactive, self-motivated with strong organisational skills * Analytical thinking and problem-solving * Good written and verbal communication skills * Strong attention to detail * Ability to follow processes and work under guidance * Proficiency in Microsoft 365 tools (Excel, Word, Teams, SharePoint) * Exposure to ISO 27001:2022 or ISO 27701:2019 environments * Knowledge of GDPR or data protection principles * Familiarity with basic IT systems, networks, or cloud services * Internship, placement, or entry-level experience in IT or security * Degree in Information Security, IT or related field (or equivalent experience) * ISO 27001 Foundation / Lead Implementer / Lead Auditor * ISO 27701 Foundation * CompTIA Security+ * Certified Information Security Manager (CISM) or similar ## Additional Information Rewards & Benefits * Flexible Work: Embrace a hybrid work model blending office and remote setup for a balanced lifestyle. * Endless Learning: Access global opportunities for growth through our 24/7 online learning platform. * Inclusive Community: Join our Empowered Communities and engage in our Philanthropy program. * Comprehensive Rewards: Enjoy competitive Total Rewards covering wellness, work/life balance, and more, including a generous referral scheme. * Caring for Wellbeing: Access our complimentary employee assistance program for mental health support. Smart Work at Quadient At Quadient, our Smart Work approach fosters connection, collaboration, and innovation while offering flexibility based on role requirements. Whether on-site, hybrid, or remote, our work environments are designed to support productivity and engagement. Hybrid employees balance remote and in-office work, on-site roles contribute daily to our vibrant workplace culture, and remote employees stay connected through virtual collaboration and in-person events. No matter where you work, you’ll be part of a dynamic, people-first community that drives success together. Be yourself at Quadient Our values define how we work as a team: Empowerment, Passion, Inspiration and Community. They inspire us to be EPIC. Together. What makes Quadient different is how different we are. We’re a team of individuals with one goal but many perspectives. When you connect with Quadient, you become part of a community that cares - in a culture that embraces differences and values every voice. We will consider any reasonable modifications to the interview process. If you require any assistance with the application process, please email us at career@quadient.com Quadient is an Equal Employment Opportunity Employer. *: We firmly believe in zero discrimination in employment on any basis, including race, color, religion, sex, national origin, age, disability, veteran or military status, genetic information, citizenship status, and any other characteristics protected by local, state, or federal law. People. Connected.", "summaryDescription" : "Information Security Administrator at Quadient. Skills: Information security, ISO 27001, ISO 27701, Risk management. Administer and maintain ISMS/PIMS. 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Research scientists; Product teams; Regional teams; AWS service teams; Global AWS teams; Broader SA community; Internal organizations; External organizations; Remote teams", "projectManagementSkills" : [ "Go-to-market plans" ], "domainKnowledge" : "GenAI workloads; Autonomous agent architectures; Generative AI use cases; Analytics modernization; Database migrations; Streaming data patterns; Agentic AI solutions; Data stack modernization; Analytics workloads; Database modernization; Streaming data services; Cloud computing", "domainList" : [ "genai-workloads", "autonomous-agent-architectures", "generative-ai-use-cases", "analytics-modernization", "database-migrations", "streaming-data-patterns", "agentic-ai-solutions", "data-stack-modernization", "analytics-workloads", "database-modernization", "streaming-data-services", "cloud-computing" ], "domainSpecificKnowledge" : [ "GenAI workloads", "Autonomous agent architectures", "Generative AI use cases", "Analytics modernization", "Database migrations", "Streaming data patterns", "Agentic AI solutions", "Data stack modernization", "Analytics workloads", "Database modernization", "Streaming data services", "Cloud computing" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Whitepapers; Reference architectures", "continuousLearning" : "Learning new technologies", "innovationCreativity" : "Scale innovations", "problemSolvingSkills" : "Business problems; Technical challenges", "qualificationsBasic" : "5+ years Python, 5+ years machine learning, 5+ years data analytics, 5+ years database services, 5+ years cloud computing", "qualificationsPreferred" : "Experience with agentic AI systems, Experience building generative AI architectures, Experience developing machine learning models, Experience architecting data solutions, Expertise in agentic AI frameworks, Expertise in generative AI, Expertise in ML/AI services, Expertise in data analytics, Expertise in databases", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a strong Partner Solution Architect with a Data & AI background to enable new capabilities for our customers to deploy GenAI workloads on AWS. You will drive the development of the GTM plan for building and scaling GenAI on AWS, interacting with customers directly to understand their business problems, and helping them with defining and implementing scalable GenAI solutions to solve them (often via proof-of-concepts). Working with account teams, research scientists, and product teams, you’ll drive model implementations and create new solutions. We are part of the Worldwide Specialist Organization at AWS, a team of customer obsessed architects and technical business leaders. We work backwards from our customer’s most business-critical problems to build global go-to-market plans and scale innovations across industries and domains. Key job responsibilities Partner Advisor: Collaborate with regional teams to enable partners and customers in adopting AWS AI and data services. Devise Strategy: Partner with regional teams to define and execute engagement strategies for autonomous agent implementations, generative AI adoption, analytics modernization, database migrations, and streaming data architectures across global territories and key partners. Emphasize the increased demand for streaming and messaging expertise driven by the agentic AI backdrop. Product Collaboration: Stay closely connected to AWS service teams, working with regional partner teams to launch new capabilities across our technology portfolio, enabling partners to quickly adopt innovations in AI agents, generative AI, ML, analytics, databases, and streaming services. Thought Leadership: Provide thought leadership on AI and data solutions, including autonomous agent architectures, generative AI use cases, analytics modernization, database migrations, and streaming data patterns. Create enablement content through AWS Blogs, Whitepapers, reference architectures, and present at AWS events and industry conferences. Community Engagement: Drive best practices across regions, participate in, and contribute to the worldwide AWS technical community of Solutions Architects and Consultants focused on our AI and data technology stack. Partner Evangelism: Evangelize partner value propositions internally across global AWS teams and externally with customers, highlighting implementation paths for agentic AI solutions, generative AI applications, data stack modernization, analytics workloads, database migrations, and streaming architectures. Partner Enablement: Drive partner solutions and go-to-market strategies across regions. Enable partners to build differentiated offerings for agentic AI implementations, generative AI solutions, data analytics transformation, database modernization, and streaming data services. Architectural Guidance: Provide architectural guidance for successful partner engagements globally, helping them leverage AWS services to win and deliver complex AI and data projects worldwide. A day in the life In this role, you will need to be technically capable and credible in your own right, as well as effective in shaping partner solutions involving our AI and data technology portfolio. You will enjoy learning and introducing new technologies to a global team to help them adopt best practices. You will be adept at interacting, communicating, and partnering with other departments within AWS such as our service teams, marketing, the broader Solutions Architect community, as well as representing our work to executive management within the organization. As the right candidate, you will possess technical skills in agentic AI architecture, generative AI applications, machine learning, data analytics services, database services, and cloud computing as well as customer facing skills at all levels of a partner organization. You should also be able to think strategically about business, product, and technical challenges. You are a thought leader, and have a hands-on approach that partners are eager to engage with. The ideal candidate can learn new concepts and technologies in a yet-to-be-defined space, is able to communicate effectively with a diverse set of customers or partners across multiple disciplines and can work effectively across internal and external organizations and remote teams. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - 2+ years of design, implementation, or consulting in applications and infrastructures experience - 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 5+ years of IT development or implementation/consulting in the software or Internet industries experience - 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience Preferred Qualifications: - Experience working within software development or Internet-related industries - Experience migrating or transforming legacy customer solutions to the cloud - Experience working with AWS technologies from a dev/ops perspective - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing - Working experience across the agentic AI, generative AI, and data landscape. This experience would include designing and implementing agentic AI systems, building generative AI architectures, developing machine learning models, and architecting data solutions. - Expertise in agentic AI frameworks, generative AI, ML/AI services, data analytics, and databases Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, San Francisco - 151,000.00 - 204,300.00 USD annually USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually", "summaryDescription" : "Worldwide Partner Solutions Architect, Data and AI GTM at Amazon Web Services, Inc.. Skills: Data and AI, GenAI workloads, Partner Solutions Architect. Drive development of GTM plan. 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}, { "id" : "6a2ca51974d8ee00a09b4ac2", "title" : "Director, Data Management and Systems", "company" : "Apogee Therapeutics", "industry" : "Biotech", "salary" : { "min" : 215000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:34:50.028", "fingerprint" : "a67a650203974e35a7812b79bd50b8cc4f96c4b227cf574f7ee5ceabd7897932", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/apogeetherapeutics/jobs/5161364007", "externalId" : "5161364007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data management", "Systems management", "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Database administration", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data management, Systems management, Machine learning, Business intelligence", "majorSkillsList" : [ "Data management", "Systems management", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Oversee data management systems, Ensure data integrity, Develop and implement data strategies, Manage data governance policies, Lead data engineering initiatives, Build and maintain data pipelines, Optimize data storage and retrieval, Implement data quality controls, Drive analytics and BI initiatives, Develop predictive models, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Genomics; Drug discovery; Clinical trials", "domainList" : [ "genomics", "drug-discovery", "clinical-trials" ], "domainSpecificKnowledge" : [ "Genomics", "Drug discovery", "Clinical trials" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Apogee Therapeutics Founded in 2022, Apogee Therapeutics, Inc. (Ticker: APGE) is a well-funded, Nasdaq listed company that offers the opportunity to work in a fast-paced, highly dynamic environment. At Apogee, you can actively contribute to shaping the company culture, take on various roles and responsibilities, and grow professionally. Apogee Therapeutics is a clinical-stage biotechnology company advancing novel biologics with potential for differentiated efficacy and dosing in the largest I ensure accountability and high-quality deliverables. Lead vendor selection and contract input for DM-related services. People Leadership advanced degree preferred. 12+ years of experience in clinical data management within biotech, pharma, or CRO environments. Experience in both operational DM and systems/technology implementation. Demonstrated leadership of DM activities across multiple clinical trials and programs. Technical Expertise Deep knowledge of EDC systems (e.g., Medidata Rave). Strong understanding of CDISC standards (SDTM, CDASH) and data lifecycle. Experience with data integrations, external data (labs, imaging, biomarkers), and decentralized trial technologies. Familiarity with data visualization and analytics tools is a plus. Leadership & Competencies Proven ability to lead cross-functional teams and influence at the program level. Strong strategic thinking with hands-on execution capability. Excellent communication and stakeholder management skills. Experience in fast-paced, growing organizations preferred. Ability to bridge systems/technology with clinical execution. Strong ownership mindset over data quality and delivery timelines. Proactive, solutions-oriented approach to complex data challenges. Effective leadership in ambiguity and evolving clinical landscapes. The anticipated salary range for candidates for this role will be $215,000 - $245,000/year. The final salary offered will depend on several factors, which may include, but is not limited to relevant years of experience, educational background, and geography. What We Offer A great culture, grounded in our C.O.R. E. values: Caring, Original, Resilient and Egoless Opportunity to work in a fast-paced, highly dynamic environment where you help shape the culture and company, wear multiple hats, and learn quickly Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits We provide competitive time off, including three weeks PTO, two one-week company-wide shutdowns a year and dedicated paid sick leave Commitment to growing you professionally and providing access to resources to further your development Apogee offers regular all team, in-person meetings to build relationships and problem solve E-Verify Participation: As part of the I9 verification of authorization to work in the US, Apogee participates in E-Verify. To learn more about E-Verify please review this poster. Apogee Therapeutics is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. To review our privacy policy, click here It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.", "summaryDescription" : "Director, Data Management and Systems at Apogee Therapeutics. Skills: Data management, Systems management, Machine learning, Business intelligence. Oversee data management systems. 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Engineering teams; Product teams", "domainKnowledge" : "Customer behavior analysis; Market research data", "domainList" : [ "customer-behavior-analysis", "market-research-data" ], "domainSpecificKnowledge" : [ "Customer behavior analysis", "Market research data" ], "toolProficiency" : [ "Python", "R", "SQL", "Spark", "TensorFlow", "PyTorch", "Scikit-learn", "Hugging Face", "MLflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings; Communicate results", "documentationSkills" : "Technical documentation", "continuousLearning" : "Stay current with AI/ML research", "problemSolvingSkills" : "Problem-solving; Analytical skills", "qualificationsBasic" : "Master's degree in Statistics, Computer Science, Mathematics, or related field, 5+ years of experience in data science or machine learning, Proficiency in SQL, Experience with Python or R for data analysis and modeling", "qualificationsPreferred" : "PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with specific ML frameworks (TensorFlow, PyTorch, scikit-learn), Cloud platform certifications (GCP Professional Data Engineer, AWS Data Analytics)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are a team of passionate, curious and diverse professionals who care about each other, our work, our company and the world. We are looking for someone who combines skill in machine learning with an ability to connect with people and see the wider context for a range of business problems. You will be responsible for assessing state-of-the-art techniques, researching novel ideas to improve them and applying them to large scale problems, mainly in the domain of recommender systems and NLP (from semantic search to deep agentic deep research). To solve problems effectively, you will need to be able to build relationships and understand the business context in which we are operating. This position will suit someone who has a deep understanding of machine learning and is comfortable presenting clearly and winsomely to a non-technical audience. NielsenIQ helps companies to meet the needs of people all over the world for food, health, hygiene, tech and durable products. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. This position opens the opportunity to research and apply state-of-the-art AI/ML techniques to strategic global projects. * Research, evaluate, and adapt state-of-the-art techniques to solve large-scale AI problems. * Lead the development and application of machine learning innovations to complex business challenges with minimal supervision. * Drive innovation in Information Retrieval, Product Matching, Recommendation Systems, NLP, and Generative AI. * Assess the applicability of emerging research and identify opportunities for adoption across multiple business initiatives. * Design and conduct advanced experiments and feasibility studies to guide technical strategy. * Develop scalable, reproducible, and maintainable machine learning solutions and research frameworks. * Collaborate with Applied AI and Engineering teams to enable adoption of research outcomes. * Mentor and support other scientists and contribute to the technical growth of the team. * Lead or contribute to scientific publications, patents, and conference submissions. * Communicate technical vision, research findings, and strategic recommendations to stakeholders across technical and business functions. * Promote engineering excellence, scientific rigor, and best practices across research initiatives. ## Qualifications * Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related quantitative discipline. * 7+ years of experience in Machine Learning, Deep Learning, or AI research. * Demonstrated expertise in training transformer-based models for Information Retrieval, Recommendation Systems, Product Matching, NLP, or related domains. * Experience training custom SLMs and /or small reasoning models. * Advanced experience with Python, PyTorch, Hugging Face, Pandas, Scikit-learn, and Git. * Strong experience with Transformer architectures, embeddings, and representation learning. * Experience with vector databases (e.g., FAISS, ChromaDB, Pinecone) and retrieval-based systems. * Ability to understand, evaluate, and extend ideas from scientific literature. * Strong analytical, problem-solving, stakeholder management, and communication skills. * Proven ability to independently drive research initiatives from concept through adoption. Good to Have * PhD in a relevant field. * Publications in leading conferences (e.g., ACL, EMNLP, SIGIR, KDD, NeurIPS, ICML, ICLR, RecSys). * Experience mentoring researchers or leading technical initiatives. * Experience with RAG architectures, LLMs, and agent-based frameworks. * Experience with Knowledge Graphs. * Experience in retail, consumer intelligence, ecommerce, or FMCG domains. * Experience with Databricks, SQL, Elasticsearch. ## Additional Information Salary: 55300– €65000 gross per year. This role might also be eligible for a performance-based bonus. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria. Employees enjoy a Home Office working model (Spain-based), with occasional team meetings at the Madrid office. Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Senior Research Scientist (AI/ML, NLP & Information Retrieval) at NielsenIQ. Skills: AI/ML, NLP, Information Retrieval, Data Science. Design and implement AI/ML models. 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Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. 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methodology refinement, Coordinate evaluation activities, Conduct data collection, Conduct data analysis, Conduct data synthesis, Support evaluation efforts, Prepare written reports, Prepare oral reports, Summarize evaluation findings, Summarize evaluation conclusions, Summarize evaluation recommendations, Support dissemination of products, Support archiving of products, Prepare project status reports, Align reports with work plans, Align reports with reporting requirements, Assist in presentation development, Assist in briefing development, Ensure compliance with reporting requirements, Ensure compliance with data collection standards, Support process improvement", "teamCollaboration" : "Country offices; Implementing partners; CDC staff; Global stakeholders", "projectManagementSkills" : [ "Work plans", "Reporting requirements" ], "domainKnowledge" : "Global health security; Public health initiatives; Field Epidemiology Training Program; International public health programs; Federal reporting requirements; Data collection standards", "domainList" : [ "global-health-security", "public-health-initiatives", "field-epidemiology-training-program", "international-public-health-programs", "federal-reporting-requirements", "data-collection-standards" ], "domainSpecificKnowledge" : [ "Global health security", "Public health initiatives", "Field Epidemiology Training Program", "International public health programs", "Federal reporting requirements", "Data collection standards" ], "toolProficiency" : [ "Data collection platforms", "Databases", "Analytical tools", "Data visualization tools", "Dashboard development tools" ], "communicationSkills" : "Technical reports; Presentations; Briefings", "documentationSkills" : "Technical reports", "problemSolvingSkills" : "Data analysis; Data synthesis", "specialRequirements" : "International travel", "outcomesObjectives" : "Assess program effectiveness; Assess program efficiency; Assess program impact; Support evidence-based decision-making", "qualificationsBasic" : "Master's degree in Public Health, 4+ years M&E experience, 2+ years global health experience, Federal agency experience, Data collection systems experience, Database management experience, Analytical skills, Writing skills, Communication skills, Manage multiple tasks, Meet reporting deadlines", "qualificationsPreferred" : "FETP experience, Workforce development experience, CDC experience, International technical assistance experience, Data visualization proficiency, Dashboard development proficiency, Train diverse audiences, Facilitate stakeholder engagement", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U. S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position The Monitoring and Evaluation (M&E) Specialist will provide technical support to the Office of Monitoring and Evaluation (OME), Division of Global Health Protection (DGHP), Global Health Center (GHC), in support of program monitoring and evaluation activities. The Specialist will contribute to strengthening global health security by supporting the monitoring, evaluation, and performance management of DGHP-supported programs, including the Field Epidemiology Training Program (FETP) and other public health initiatives. This position supports implementation monitoring, evaluation activities, and reporting to assess program effectiveness, efficiency, and impact, while contributing to evidence-based decision-making across the Division. The position may be performed at a government facility, remotely, or in a hybrid arrangement and may include international travel to support country-level technical assistance. This position is contingent upon award. Responsibilities Maintain and enhance data collection platforms and databases to track program implementation, including tools supporting FETP monitoring Collect, validate, and manage quarterly program data to support performance tracking Develop data analysis and visualization products to report on implementation progress Train stakeholders, including country offices and implementing partners, on monitoring tools and systems Provide technical assistance to DGHP-supported country programs, including international travel to support monitoring activities Support design, refinement, and implementation of evaluation tools and methodologies Coordinate evaluation activities across program stakeholders Conduct data collection, analysis, and synthesis to support evaluation efforts Prepare written and oral reports summarizing evaluation findings, conclusions, and recommendations Support dissemination and archiving of evaluation products Support preparation of project status reports aligned with program work plans and reporting requirements Assist in development of presentations, briefings, and other communication products for stakeholders Collaborate with CDC staff, implementing partners, and global stakeholders Ensure compliance with federal reporting requirements and data collection standards Support continuous improvement of monitoring, evaluation, and learning processes across DGHP Qualifications Master’s degree in Public Health, Epidemiology, Global Health, or a related field Minimum of 4 years of experience in public health program monitoring, evaluation, or implementation research At least 2 years of experience in global health security or related international public health programs Demonstrated experience supporting or working with federal agencies on similar monitoring and evaluation activities Experience with data collection systems, database management, and analytical tools Strong analytical, writing, and communication skills, including preparation of technical reports and presentations Ability to manage multiple tasks and meet reporting deadlines in a dynamic environment Preferred Qualifications Experience supporting Field Epidemiology Training Programs (FETP) or workforce development initiatives Experience working with CDC or similar public health agencies Experience delivering technical assistance in international settings Proficiency in data visualization, reporting tools, and dashboard development Experience training diverse audiences and facilitating stakeholder engagement Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law. As part of a competitive benefits package for eligible employees, Dexis provides healthcare insurance in addition to other staff welfare benefits and perks.", "summaryDescription" : "Monitoring and Evaluation Specialist at Dexis. Skills: Monitoring and Evaluation, Global Health Security, Data Analysis, Technical Assistance. Maintain data collection platforms. Enhance data collection platforms", "postedDate" : "2026-06-14T08:35:46.700", "createdAt" : "2026-06-14T08:35:46.700", "lastUpdated" : "2026-06-15T06:57:43.252", "ingestTimestamp" : "2026-06-14T08:35:46.700", "mongoId" : "6a2c94e574d8ee00a098bd4f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Evaluation research", "Implementation research", "Global health security", "International public health", "Federal agency support", "Data collection systems", "Database management", "Analytical tools", "Technical reporting", "Presentation delivery", "Task management", "Deadline management", "Data visualization", "Dashboard development", "Stakeholder engagement", "Technical assistance delivery", "Trust", "Respect", "Fairness", "Inclusiveness", "Monitoring and Evaluation", "Global Health Security", "Data Analysis", "Technical Assistance", "Program monitoring", "Performance management", "Data analysis", "Technical assistance", "Methodology refinement", "Stakeholder coordination", "Data synthesis", "Report preparation", "Dissemination strategy", "Archiving strategy", "Project reporting", "Presentation development", "Briefing development", "Compliance assurance", "Data standards", "Process improvement", "Work plans", "Reporting requirements", "Public health initiatives", "Field Epidemiology Training Program", "International public health programs", "Federal reporting requirements", "Data collection standards", "Data collection platforms", "Databases", "Data visualization tools", "Dashboard development tools" ], "skillCount" : 51, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 568.08734, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706997fc9a711f0f6fe81", "title" : "Senior Data Scientist - Data and Machine Learning, WWPS ProServe Data and Machine Learning", "company" : "Amazon Web Services, Inc.", "industry" : "Data Science, Science, Cloud Computing", "salary" : { "min" : 143300.0, "max" : 247600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-15T06:03:22.811", "fingerprint" : "2de507a2af9713958cf19fc7bc76811d52243f83d9bf8296e6df9008d561a0ec", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051327/apply", "externalId" : "17bd976f-c327-4f8f-82fd-e01156aa798f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI algorithms, Generative AI, Machine Learning, Large Language Models, Python, Tensorflow, Keras, PyTorch, MXNet, AWS, SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, JAX", "professionalSkills" : [ "Business acumen", "Data science", "AI methods" ], "hardSkillsList" : [ "Data mining", "Numerical optimization", "Deep learning", "Machine learning" ], "hardSkills" : [ { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine Learning, Data Science", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Data Science" ], "coreResponsibilities" : "Research AI algorithms, Design AI algorithms, Develop AI algorithms, Evaluate AI algorithms, Interact with customers, Understand business problem, Aid customers in implementation of AI solutions, Deliver briefing sessions to customers, Deliver deep dive sessions to customers, Guide customer on adoption patterns, Guide customer on paths to production, Create best practice recommendations, Deliver best practice recommendations, Create tutorials, Deliver tutorials, Create blog posts, Deliver blog posts, Create sample code, Deliver sample code, Create presentations, Deliver presentations, Provide customer feedback, Provide market feedback", "teamCollaboration" : "AI/ML scientists; Architects; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Large Language Models; US Intelligence Community", "domainList" : [ "generative-ai", "large-language-models", "us-intelligence-community" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "US Intelligence Community" ], "toolProficiency" : [ "Tensorflow", "Keras", "PyTorch", "MXNet", "JAX" ], "communicationSkills" : "Customer briefings; Deep dive sessions; Executive stakeholder presentations", "documentationSkills" : "Best practice recommendations; Tutorials; Blog posts; Sample code; Presentations", "innovationCreativity" : "Drive feature innovation", "problemSolvingSkills" : "Solve complex problems", "specialRequirements" : "TS/SCI with Polygraph, Up to 25% local travel", "qualificationsBasic" : "Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience, 5+ years of experience building models for business applications, Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning, Experience using Python, Hands on experience building models with deep learning frameworks (i. e. Tensorflow, Keras, PyTorch, MXNet), Current, active US Government Security Clearance of TS/SCI with Polygraph", "qualificationsPreferred" : "Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, AWS experience preferred, Practical experience in solving complex problems in an applied environment, Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX, Experience building applications leveraging GenAI", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you excited to help the US Intelligence Community design, build, and implement AI algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) and Generative AI methods. We build models for text, image, video, audio, and multi-modal use cases, leveraging both traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs), text-to-image generation, and other advanced AI capabilities to fit the mission. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs. At AWS, we're hiring experienced data scientists with a background in both traditional and generative AI who can help our customers understand the opportunities their data presents, and build solutions that earn the customer trust needed for deployment to production systems. In this role, you will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources, and building data-intensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions. You will provide guidance and support to other engineers, sharing industry best practices and driving innovation in the field of data science and AI. This position requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with Polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities As an Data Scientist, you will: - Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate AI algorithms to address real-world challenges - Interact with customers directly to understand the business problem, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to Product and Engineering teams to help define product direction - This position may require up to 25% local travel. About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences and inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ years of experience building models for business applications - Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning - Experience using Python and hands on experience building models with deep learning frameworks (i.e. Tensorflow, Keras, PyTorch, MXNet) - Current, active US Government Security Clearance of TS/SCI with Polygraph Preferred Qualifications: - Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field - AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch) - Practical experience in solving complex problems in an applied environment - Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX - Experience building applications leveraging GenAI Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Data Scientist - Data and Machine Learning, WWPS ProServe Data and Machine Learning at Amazon Web Services, Inc.. Skills: Generative AI, Machine Learning, Data Science. Research AI algorithms. Design AI algorithms", "postedDate" : "2026-06-13T12:13:39.251", "createdAt" : "2026-06-13T12:13:39.251", "lastUpdated" : "2026-06-15T06:03:22.811", "ingestTimestamp" : "2026-06-13T12:13:39.251", "mongoId" : "68b706997fc9a711f0f6fe81", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051327/apply", "salaryAnnualMin" : 143300, "salaryAnnualMax" : 247600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data mining", "Numerical optimization", "Deep learning", "Machine learning", "Generative AI", "Machine Learning", "Data Science", "Business acumen", "Data science", "AI methods", "Large Language Models", "US Intelligence Community", "Tensorflow", "Keras", "PyTorch", "MXNet", "JAX" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 567.7881, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3068adf292fd229cfc507b", "title" : "Senior Research Scientist (AI/ML, NLP & Information Retrieval)", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Research Scientist in Madrid, Spain, adjusted for the market research industry and company size." }, "location" : "Madrid, M, Spain", "locations" : [ "Madrid", "M", "Spain" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:02:39.026", "fingerprint" : "7b806b6c6bd2d842dd37855229fb16d438e29fe24dd8540cf3bea9f36f2f1da0", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132263759-senior-research-scientist-ai-ml-nlp-information-retrieval-", "externalId" : "744000132263759", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Spain", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, SQL, Spark, Scala, Java, Cloud platforms, AWS, GCP, Azure, Machine Learning, Deep Learning, NLP, Information Retrieval, Data Engineering, Data Warehousing, ETL, Databases, Distributed systems", "professionalSkills" : [ "Statistical analysis", "Quantitative analysis", "Data modeling", "Algorithm development", "System design" ], "hardSkillsList" : [ "Statistical modeling", "Machine learning modeling", "Natural Language Processing", "Information Retrieval", "Data engineering", "Algorithm development", "Data analysis", "Data visualization" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning modeling", "level" : "intermediate" }, { "name" : "Natural Language Processing", "level" : "intermediate" }, { "name" : "Information Retrieval", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, NLP, Information Retrieval, Data Science", "majorSkillsList" : [ "Machine Learning", "NLP", "Information Retrieval", "Data Science" ], "coreResponsibilities" : "Design and implement ML models, Develop and deploy ML pipelines, Conduct research in AI/ML, Analyze large datasets, Develop data-driven solutions, Collaborate with engineering teams, Communicate findings to stakeholders, Stay current with AI/ML advancements", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Information Retrieval; Natural Language Processing; Machine Learning; AI; Data Science; Data Engineering; Cloud Data Stacks; BI Platforms; Statistical Methods", "domainList" : [ "information-retrieval", "natural-language-processing", "machine-learning", "ai", "data-science", "data-engineering", "cloud-data-stacks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Information Retrieval", "Natural Language Processing", "Machine Learning", "AI", "Data Science", "Data Engineering", "Cloud Data Stacks", "BI Platforms", "Statistical Methods" ], "toolProficiency" : [ "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings; Communicate results", "continuousLearning" : "Stay current with AI/ML advancements", "problemSolvingSkills" : "Data analysis; Algorithm development; Model development", "qualificationsBasic" : "Master's degree, 5+ years experience, SQL proficiency, Python proficiency, Statistical modeling experience", "qualificationsPreferred" : "PhD preferred, Experience with large-scale data processing, Experience with cloud platforms, Experience with ML frameworks, Experience with NLP techniques, Experience with information retrieval systems, Experience with deep learning", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are a team of passionate, curious and diverse professionals who care about each other, our work, our company and the world. We are looking for someone who combines skill in machine learning with an ability to connect with people and see the wider context for a range of business problems. You will be responsible for assessing state-of-the-art techniques, researching novel ideas to improve them and applying them to large scale problems, mainly in the domain of recommender systems and NLP (from semantic search to deep agentic deep research). To solve problems effectively, you will need to be able to build relationships and understand the business context in which we are operating. This position will suit someone who has a deep understanding of machine learning and is comfortable presenting clearly and winsomely to a non-technical audience. NielsenIQ helps companies to meet the needs of people all over the world for food, health, hygiene, tech and durable products. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. This position opens the opportunity to research and apply state-of-the-art AI/ML techniques to strategic global projects. * Research, evaluate, and adapt state-of-the-art techniques to solve large-scale AI problems. * Lead the development and application of machine learning innovations to complex business challenges with minimal supervision. * Drive innovation in Information Retrieval, Product Matching, Recommendation Systems, NLP, and Generative AI. * Assess the applicability of emerging research and identify opportunities for adoption across multiple business initiatives. * Design and conduct advanced experiments and feasibility studies to guide technical strategy. * Develop scalable, reproducible, and maintainable machine learning solutions and research frameworks. * Collaborate with Applied AI and Engineering teams to enable adoption of research outcomes. * Mentor and support other scientists and contribute to the technical growth of the team. * Lead or contribute to scientific publications, patents, and conference submissions. * Communicate technical vision, research findings, and strategic recommendations to stakeholders across technical and business functions. * Promote engineering excellence, scientific rigor, and best practices across research initiatives. ## Qualifications * Master's, or PhD in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related quantitative discipline. * 7+ years of experience in Machine Learning, Deep Learning, or AI research. * Demonstrated expertise in training transformer-based models for Information Retrieval, Recommendation Systems, Product Matching, NLP, or related domains. * Experience training custom SLMs and /or small reasoning models. * Advanced experience with Python, PyTorch, Hugging Face, Pandas, Scikit-learn, and Git. * Strong experience with Transformer architectures, embeddings, and representation learning. * Experience with vector databases (e.g., FAISS, ChromaDB, Pinecone) and retrieval-based systems. * Ability to understand, evaluate, and extend ideas from scientific literature. * Strong analytical, problem-solving, stakeholder management, and communication skills. * Proven ability to independently drive research initiatives from concept through adoption. Good to Have * PhD in a relevant field. * Publications in leading conferences (e.g., ACL, EMNLP, SIGIR, KDD, NeurIPS, ICML, ICLR, RecSys). * Experience mentoring researchers or leading technical initiatives. * Experience with RAG architectures, LLMs, and agent-based frameworks. * Experience with Knowledge Graphs. * Experience in retail, consumer intelligence, ecommerce, or FMCG domains. * Experience with Databricks, SQL, Elasticsearch. ## Additional Information Salary: 55300– €65000 gross per year. This role might also be eligible for a performance-based bonus. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria. Employees enjoy a Home Office working model (Spain-based), with occasional team meetings at the Madrid office. Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Senior Research Scientist (AI/ML, NLP & Information Retrieval) at NielsenIQ. Skills: Machine Learning, NLP, Information Retrieval, Data Science. Design and implement ML models. Develop and deploy ML pipelines", "postedDate" : "2026-06-15T18:29:16.000", "createdAt" : "2026-06-16T00:23:15.294", "lastUpdated" : "2026-06-16T12:02:39.026", "ingestTimestamp" : "2026-06-16T00:23:15.294", "mongoId" : "6a3068adf292fd229cfc507b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Statistical modeling", "Machine learning modeling", "Natural Language Processing", "Information Retrieval", "Data engineering", "Algorithm development", "Data analysis", "Data visualization", "Machine Learning", "NLP", "Data Science", "Statistical analysis", "Quantitative analysis", "Data modeling", "System design", "AI", "Data Engineering", "Cloud Data Stacks", "BI Platforms", "Statistical Methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 565.53845, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb0de74d8ee00a09db551", "title" : "Senior Data and Platform Engineer", "company" : "Avantos", "industry" : "Engineering", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on 2024-2025 market data for a Senior Data and Platform Engineer in New York, United States, with adjustments for seniority, company size, and the FinTech industry." }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-16T01:43:36.688", "fingerprint" : "791ee05e9a932c88a1a3dc229ccc6d96b88ddb4135d2238f2514febf83289574", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/avantos/4b2dc531-155c-4d8a-97b7-d89e27a59c12/application", "externalId" : "4b2dc531-155c-4d8a-97b7-d89e27a59c12", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "New York, New York, United States; United States; Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Golang, SQL, Terraform, AWS, Python, Docker, Kubernetes, LLMs, RAG, Vector search", "professionalSkills" : [ "Backend system design", "API design", "Data modeling", "System design" ], "hardSkillsList" : [ "Data engineering", "Platform engineering", "Backend infrastructure" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Platform engineering", "level" : "intermediate" }, { "name" : "Backend infrastructure", "level" : "intermediate" } ], "majorSkills" : "Data platform, AI systems, Infrastructure", "majorSkillsList" : [ "Data platform", "AI systems", "Infrastructure" ], "coreResponsibilities" : "Design backend systems, Implement backend systems, Design data platform, Build data platform, Create scalable systems, Design data models, Design APIs, Make decisions about schemas, Make decisions about indexes, Make decisions about migrations, Make decisions about performance, Own infrastructure for data workloads, Own infrastructure for AI workloads, Enable self-serve data workflows, Improve observability, Improve reliability, Improve performance, Support AI/ML systems, Build tooling for document processing, Build tooling for metadata, Build tooling for normalization", "teamCollaboration" : "Engineering teams; Product teams", "domainKnowledge" : "Fintech; Regulated systems", "domainList" : [ "fintech", "regulated-systems" ], "domainSpecificKnowledge" : [ "Fintech", "Regulated systems" ], "toolProficiency" : [ "Terraform", "AWS", "Docker", "Kubernetes" ], "problemSolvingSkills" : "Performance; Reliability; Failure modes", "specialRequirements" : "Startup environment", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "SENIOR DATA & PLATFORM ENGINEER \uD83D\uDCCD NYC (HYBRID) OR US REMOTE | COMPETITIVE + EQUITY ABOUT AVANTOS Avantos is building the AI-native operating system for financial services — transforming fragmented data into a single, intelligent system that powers workflows, automation, and decision-making. We’re a product-led, fast-moving team at the intersection of AI, fintech, and modern infrastructure. THE ROLE We’re looking for a Senior Data & Platform Engineer to build the data and core platform and infrastructure layer that powers our AI systems. This is not just about pipelines — it’s about creating the systems, tooling, and abstractions that enable engineers and AI workflows to move fast, safely, and reliably. WHAT YOU’LL DO - Design and implement core backend systems and integrations that power the product. - Design and build our data platform (orchestration, pipelines, developer workflows) - Create scalable systems for data ingestion, transformation, and access - Design data models and APIs that won’t collapse under growth. - Make sane decisions about schemas, indexes, migrations, and performance. - Own infrastructure for data + AI workloads (containers, orchestration, cloud services) - Enable self-serve data workflows for engineering and product teams - Improve observability, reliability, and performance across the data stack - Support AI/ML systems (embeddings, vector data, model pipelines) - Build tooling for document processing, metadata, and normalization WHAT WE’RE LOOKING FOR - 7+ years in data engineering, platform engineering, or backend infrastructure - A track record of shipping and owning production systems. - Strong systems thinking (not just pipelines — platform mindset) - Backend system design and API design - Data modeling and relational databases - Performance, reliability, and failure modes - Proficiency in Golang, SQL, Terraform, AWS - Comfort in a fast-moving startup environment BONUS - LLMs / RAG, vector search, fintech or regulated systems - Have startup or early-stage experience. WHY JOIN - Build the foundation layer of an AI-native product - High ownership + direct impact - Work where data, platform, and AI converge THE FIT You’re someone who doesn’t just move data — you build the systems that make data usable at scale.", "summaryDescription" : "Senior Data and Platform Engineer at Avantos. Skills: Data platform, AI systems, Infrastructure. Design backend systems. Implement backend systems", "createdAt" : "2026-06-14T20:21:52.028", "lastUpdated" : "2026-06-16T01:43:36.688", "ingestTimestamp" : "2026-06-14T20:21:52.028", "mongoId" : "6a2cb0de74d8ee00a09db551", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Platform engineering", "Backend infrastructure", "Data platform", "AI systems", "Infrastructure", "Backend system design", "API design", "Data modeling", "System design", "Fintech", "Regulated systems", "Terraform", "AWS", "Docker", "Kubernetes" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 563.4401, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b2d74d8ee00a0910932", "title" : "Information Security Officer", "company" : "Moonfare", "location" : "Berlin, Germany", "locations" : [ "Berlin", "Germany" ], "certifications" : [ "CISM", "CISA", "ISO 27001 Lead Auditor", "ISO 27001 Implementer", "GSLC", "GISP" ], "timestamp" : "2026-06-15T06:56:57.349", "fingerprint" : "558b46adf9ac516ab72e0922992095dc5cef62ec25cd21960077daf51d876952", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.moonfare.com/open-position/?gh_jid=7693276003", "externalId" : "7693276003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "Berlin, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Information Security", "professionalSkills" : [ "Finance or FinTech industry in the EU, specifically in the DACH region." ], "hardSkillsList" : [ "BaFin requirements", "DORA", "NIS2", "ISO 27001", "CISM", "CISA", "ISO 27001 Lead Auditor", "ISO 27001 Implementer", "GSLC", "GISP" ], "softSkillsList" : [ "Client-Centric Focus, Commitment to Excellence, Win together, Growth and Merit" ], "hardSkills" : [ { "name" : "BaFin requirements", "level" : "intermediate" }, { "name" : "DORA", "level" : "intermediate" }, { "name" : "NIS2", "level" : "intermediate" }, { "name" : "ISO 27001", "level" : "intermediate" }, { "name" : "CISM", "level" : "intermediate" }, { "name" : "CISA", "level" : "intermediate" }, { "name" : "ISO 27001 Lead Auditor", "level" : "intermediate" }, { "name" : "ISO 27001 Implementer", "level" : "intermediate" }, { "name" : "GSLC", "level" : "intermediate" }, { "name" : "GISP", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Client-Centric Focus, Commitment to Excellence, Win together, Growth and Merit" } ], "majorSkills" : "Information Security Management System (ISMS), risk assessments, security audits, BaFin requirements, ISO 27001", "majorSkillsList" : [ "Information Security Management System (ISMS), risk assessments, security audits, BaFin requirements, ISO 27001" ], "coreResponsibilities" : "Lead all information security and relevant Governance, Risk, and Compliance (GRC) initiatives. Ensure information security posture is robust, compliant with German and EU regulations, and aligned with business goals. Develop, implement, and maintain the Information Security Management System (ISMS) in accordance with ISO 27001. Conduct risk assessments and monitor risk mitigation activities. Oversee internal and external security audits. Promote continuous employee awareness of Information Security and Data Protection topics.", "teamCollaboration" : "Work closely with various departments to embed security into the fabric of our organization.", "projectManagementSkills" : [ "Lead the company's efforts to achieve and maintain compliance" ], "toolProficiency" : [ "Moonfare careers website" ], "communicationSkills" : "English; German", "documentationSkills" : "Information Security Management System (ISMS)", "continuousLearning" : "We support your development with an individual growth budget of €1,500 or 2% of your base salary (whichever is higher).", "problemSolvingSkills" : "risk mitigation", "specialRequirements" : "Only accept applications from those eligible to live and work in Berlin. Hybrid role with office attendance required 4 days/week. Do not accept applications sent by email.", "outcomesObjectives" : "Empowered to bring ideas, make decisions, and see your work directly contribute to Moonfare's success.", "qualificationsBasic" : "Proven experience in a similar Information Security role. Deep understanding and practical experience with German security regulations and BaFin requirements. Expert knowledge of information security frameworks and regulations such as ISO 27001, DORA, and NIS2. Experience in developing, maintaining, and implementing an ISMS, leading to successful certification. Excellent communication skills with full professional proficiency in English.", "qualificationsPreferred" : "A background in Software Engineering or Computer Science is beneficial. Working proficiency in German is desirable. Industry-recognized certifications such as CISM, CISA, ISO 27001 Lead Auditor/Implementer, or SANS/GIAC certifications (e.g. GSLC, GISP) are highly desirable.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Join the team rewriting the rules in private markets. Moonfare delivers what few others can: the highly sought-after funds and hidden-gem investments that go beyond what most private banks offer. Every opportunity is subjected to a ruthless vetting process; the bar is unforgivingly high. The result? Institutional-quality portfolios for investors who demand more. Our team combines finance veterans with talent from tech, consulting, law and industries you’d never expect. Headquartered in Berlin, we operate from eight offices across Europe, the US and Asia. If you're ready to build what's next in private markets, let's talk. Information Security Officer (m/f/d) As an Information Security Officer, you will be a central figure in our journey to become a BaFin-regulated entity. As part of the 2nd line of defence, you will lead all information security and relevant Governance, Risk, and Compliance (GRC) initiatives. Your primary objective will be to ensure our information security posture is robust, compliant with German and EU regulations, and aligned with our business goals. In this role you will work closely with various departments to embed security into the fabric of our organization. Your Mission: Lead the company's efforts to achieve and maintain compliance with key information security regulations, including BaFin requirements, DORA, and NIS2. Develop, implement, and maintain the Information Security Management System (ISMS) in accordance with ISO 27001 and other relevant standards. Conduct comprehensive risk assessments and work with control functions to monitor and report on risk mitigation activities. Provide expert guidance to internal teams on information security policies, procedures, and best practices. Oversee internal and external security audits to ensure we meet our compliance goals. Act as the primary point of contact for all information security matters within the licensed entity. Promote continuous employee awareness of Information Security and Data Protection topics. The next Moonfarian: Proven experience in a similar Information Security role, preferably within the finance or FinTech industry in the EU, with specific experience in the DACH region. Deep understanding and practical experience with German security regulations and BaFin requirements. Expert knowledge of information security frameworks and regulations such as ISO 27001, DORA, and NIS2. Experience in developing, maintaining, and implementing an ISMS, leading to successful certification (e.g., ISO 27001). A background in Software Engineering or Computer Science is beneficial. Industry-recognized certifications such as CISM, CISA, ISO 27001 Lead Auditor/Implementer, or SANS/GIAC certifications (e. g. GSLC, GISP) are highly desirable. Excellent communication skills with full professional proficiency in English, working proficiency in German is desirable. If you feel you do not meet all of the requirements, we still encourage you to apply! Please Note: We can only accept applications from those eligible to live and work in Berlin. This is a hybrid role with office attendance required 4 days/week. Please note that we do not accept applications sent by email. You should submit your application directly through our careers website. Invest in yourself: Ownership and Impact: You are empowered to bring ideas, make decisions, and see your work directly contribute to Moonfare's success. Transparent Environment: We believe in open communication. You will receive regular updates on company strategy, performance against our KPIs, and key business decisions. Personal Growth: We support your development with an individual growth budget of €1,500 or 2% of your base salary (whichever is higher). Invest in Your Future: We support your long-term financial goals with a company pension scheme, providing a 20% employer contribution. Relax and Recharge: You start with 25 vacation days and you’ll receive one additional day for each year of tenure, up to a maximum of 30 days. Daily Lunch: Enjoy a free lunch every day that you are in the Berlin office, with a weekly changing menu that includes salads, curries, pastas, and a variety of vegan and vegetarian options. Subsidised Public Transport: We support your commute with a monthly subsidy for the Deutschland job ticket, making your travel easier and more affordable. Fitness and Wellbeing: Stay active with a subsidised Urban Sports Club membership, giving you flexible access to a wide variety of sports and wellness activities across Germany. A Culture of Excellence: Join a team of ambitious, smart, and committed professionals who are passionate about revolutionising private market investing. Our Values: Client-Centric Focus: Our clients come first, Moonfare comes second, and we prioritise ourselves third. Putting clients first means creating value for them is essential. Placing Moonfare second signifies that our individual professional future at Moonfare depends on the company's commercial success. Prioritising ourselves third reflects our humility in putting clients and Moonfare before personal interests. Commitment to Excellence: We pursue excellence and honor our promises. We hold ourselves to the highest standards, taking responsibility for our failures, and celebrating our successes. We commit to deadlines and stick to them and we learn from our mistakes. Win together: We are here to win and to celebrate our collective achievements. We are mission-focused and think and act like owners. We exemplify the attitude we expect and each of us commits to do what it takes to succeed. Growth and Merit: We foster personal growth but each of us earns our place as a Moonfarian through merit. We hire, retain, and develop exceptional people and invest in empowering them to excel. We must all earn our place at the table every day. We understand the important role that diversity plays in our success. Different backgrounds, experiences and ideas push us further and raise the bar. We’re committed to developing an inclusive and safe culture where everyone—regardless of colour, race, religion, sex, origin, sexuality, disability, marital status, citizenship or gender identity—knows that they are an integral part of the team and can bring their full potential to their work.", "summaryDescription" : "Information Security Officer at Moonfare. Skills: Information Security Management System (ISMS), risk assessments, security audits, BaFin requirements, ISO 27001. Lead all information security and relevant Governance, Risk, and Compliance (GRC) initiatives. Ensure information security posture is robust, compliant with German and EU regulations, and aligned with business goals. Develop, implement, and maintain the Information Security Management System (ISMS) in accordance with ISO 27001. Conduct", "postedDate" : "2026-06-14T19:15:48.901", "createdAt" : "2026-06-14T19:15:48.901", "lastUpdated" : "2026-06-15T06:56:57.349", "ingestTimestamp" : "2026-06-14T19:15:48.901", "mongoId" : "6a2c6b2d74d8ee00a0910932", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "BaFin requirements", "DORA", "NIS2", "ISO 27001", "CISM", "CISA", "ISO 27001 Lead Auditor", "ISO 27001 Implementer", "GSLC", "GISP", "Client-Centric Focus, Commitment to Excellence, Win together, Growth and Merit", "Information Security Management System (ISMS), risk assessments, security audits, BaFin requirements, ISO 27001", "Finance or FinTech industry in the EU, specifically in the DACH region.", "Lead the company's efforts to achieve and maintain compliance", "Moonfare careers website" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 563.4367, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307671f292fd229c019d69", "title" : "Information Security Analyst", "company" : "Billtrust", "industry" : "FinTech", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Information Security Analyst in India, adjusted for mid-seniority, FinTech industry, and company size." }, "location" : "India", "locations" : [ "India" ], "certifications" : [ "CompTIA Security+", "CISA", "CISSP", "ISO 27001 Lead Implementer" ], "timestamp" : "2026-06-16T10:56:45.318", "fingerprint" : "eeacff322dd139ae2da3f408ae64f9e900c2547981be40941000b7701261f38c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.billtrust.com/careers/job-openings/?gh_jid=7719276003", "externalId" : "7719276003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Risk assessment" ], "majorSkills" : "Information Security, Compliance, Risk Management", "majorSkillsList" : [ "Information Security", "Compliance", "Risk Management" ], "coreResponsibilities" : "Support compliance and assurance programs, Contribute to risk assessment activities, Protect systems powering business payments platform, Assist with PCI DSS assessments, Support HIPAA BAA obligations, Document findings clearly and concisely", "teamCollaboration" : "Work closely with cross-functional teams", "domainKnowledge" : "Financial reporting controls; PCI DSS; HIPAA BAA obligations; ISMS documentation", "domainList" : [ "financial-reporting-controls", "pci-dss", "hipaa-baa-obligations", "isms-documentation" ], "domainSpecificKnowledge" : [ "Financial reporting controls", "PCI DSS", "HIPAA BAA obligations", "ISMS documentation" ], "documentationSkills" : "ISMS documentation; Control evidence", "qualificationsBasic" : "Bachelor's degree in Information Systems, Computer Science, Business, or a related field — or equivalent experience", "qualificationsPreferred" : "Exposure to GRC tools or audit management platforms, Experience supporting external audit engagements (SOC, PCI QSA, ISO certification body), Relevant certification in progress or obtained (e. g. , CompTIA Security+, CISA, CISSP, ISO 27001 Lead Implementer), Basic familiarity with vulnerability assessment tools or security monitoring platforms", "remoteFriendly" : false, "rawDescription" : "Who We Are Finance leaders choose Billtrust to get paid faster, control costs, and maximize customer satisfaction. As the leader in B2B accounts receivable workflow and payment software, we provide the world’s leading brands with AI-powered solutions across the full AR lifecycle—from invoice presentment and payment processing to cash application and collections. With over 2,600 global customers, more than $1 trillion in invoice dollars processed, and a proprietary network of 13 million buyers, Billtrust delivers business value through deep industry expertise and a culture relentlessly focused on meaningful customer outcomes. We’re an AI-first company, not just in what we build for our customers, but in how we work. Across every function, our teams use AI tools daily to work faster, make better decisions, and deliver higher-quality outcomes. We hire exceptional people, give them cutting-edge AI capabilities, and measure success by the impact they create. If you want to do the best work of your career at the frontier of AI and fintech, Billtrust is the place to do it. Our Values Customers We relentlessly increase value for customer and do the right thing for them. Action We make ‘thoughtfully fast’ decisions, act quickly, cut through red tape, deliver progress not perfection, take ownership and accountability. Team Spirit We put the team ahead of ourselves, foster trust and respect, collaborate with passion, despise toxic politics, value our differences, and celebrate together. Innovation We challenge the status quo, experiment thoughtfully, and are novel and brilliant in what we create. Excellence We love to win, but we hate losing even more. We aspire to be the best and take pride in our work. When we fall short, we own it and come back stronger. Information Security Analyst Information Security Analyst will support Billtrust's compliance and assurance programs across our key security frameworks, contribute to risk assessment activities, and help protect the systems that power our business payments platform. You'll work closely with cross-functional teams and report to the Information Security Manager. Assurance Frameworks This role directly supports Billtrust's compliance posture across the following frameworks: Framework Scope SOC 1 / ISAE 3402 Financial reporting controls maintain ISMS documentation and control evidence Assist with PCI DSS assessments, including scope validation, control testing, and QSA coordination Support HIPAA BAA obligations, including risk analysis activities and documentation of safeguards Risk ability to document findings clearly and concisely Bachelor's degree in Information Systems, Computer Science, Business, or a related field — or equivalent experience Preferred: Exposure to GRC tools or audit management platforms Experience supporting external audit engagements (SOC, PCI QSA, ISO certification body) Relevant certification in progress or obtained (e.g., CompTIA Security+, CISA, CISSP, ISO 27001 Lead Implementer) Basic familiarity with vulnerability assessment tools or security monitoring platforms", "summaryDescription" : "Information Security Analyst at Billtrust. Skills: Information Security, Compliance, Risk Management. Support compliance and assurance programs. Contribute to risk assessment activities", "postedDate" : "2026-06-16T01:21:47.894", "createdAt" : "2026-06-16T01:21:47.894", "lastUpdated" : "2026-06-16T10:56:45.318", "ingestTimestamp" : "2026-06-16T01:21:47.894", "mongoId" : "6a307671f292fd229c019d69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Information Security", "Compliance", "Risk Management", "Risk assessment", "Financial reporting controls", "PCI DSS", "HIPAA BAA obligations", "ISMS documentation", "CompTIA Security+", "CISA", "CISSP", "ISO 27001 Lead Implementer" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 562.73566, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176c774d8ee00a0c1adbc", "title" : "Data Engineer, WW Promotions Data and Insights", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Data Engineering, north america stores", "salary" : { "min" : 103300.0, "max" : 172600.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T03:12:51.771", "fingerprint" : "be379a15adb0d165f4e7fbac44c1dc26058391c402487f29249070d19d908bff", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "externalId" : "88a730ec-f4bb-4fe3-bfe8-4633080161a6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Redshift, S3, Glue, EMR, Kinesis, Lambda, Python, Scala, Airflow", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD" ], "hardSkillsList" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data processing systems", "level" : "intermediate" }, { "name" : "Data pipeline performance", "level" : "intermediate" }, { "name" : "Data reliability", "level" : "intermediate" }, { "name" : "Cost-efficiency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data engineering, AWS services, Data pipelines", "majorSkillsList" : [ "Data engineering", "AWS services", "Data pipelines" ], "coreResponsibilities" : "Design data processing systems, Build data processing systems, Operate data processing systems, Leverage expertise in Python, Develop custom data processing frameworks, Develop automation tools, Collaborate with data scientists, Collaborate with analysts, Collaborate with product managers, Optimize data pipeline performance, Optimize data pipeline reliability, Optimize data pipeline cost-efficiency, Mentor junior engineers, Share knowledge of data engineering, Stay up-to-date with big data technologies, Stay up-to-date with architectural patterns, Drive adoption of innovative solutions", "teamCollaboration" : "With data scientists; With analysts; With product managers", "domainKnowledge" : "Promotions data; Promotional strategies; Selling Partners; Big data technologies; Architectural patterns", "domainList" : [ "promotions-data", "promotional-strategies", "selling-partners", "big-data-technologies", "architectural-patterns" ], "domainSpecificKnowledge" : [ "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns" ], "toolProficiency" : [ "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "continuousLearning" : "Stay up-to-date with technologies; Drive adoption of solutions", "innovationCreativity" : "Drive adoption of innovative solutions", "problemSolvingSkills" : "Translate business requirements", "qualificationsBasic" : "3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines", "qualificationsPreferred" : "Experience with AWS technologies, Experience with non-relational databases, Usage of generative AI tools, Willingness to learn AI prompting, Ability to recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data? Join our WW Promotions Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's promotional strategies across every major shopping event worldwide. Key job responsibilities 1. Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow 2. Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools 3. Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions 4. Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code 5. Mentor junior engineers and share your knowledge of data engineering best practices 6. Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions About the team Promotions reinforce a positive perception of Amazon’s price leadership with shoppers by complementing our everyday great prices with time-bound discounts on a broad selection of high-quality products. For Selling Partners (SPs), promotions create incremental demand for their products and increase their share of voice, clear inventory, and drive traffic to new selection. WW Promotions owns the sourcing and execution of promotions at Amazon and we are their data & analytics team. We serve as the central stewards of promotions data, delivering trusted and governed datasets that power product development, machine learning models, and business analytics across the organization. Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 103,300.00 - 172,600.00 CAD annually", "summaryDescription" : "Data Engineer, WW Promotions Data and Insights at Amazon Development Centre Canada ULC. Skills: Data engineering, AWS services, Data pipelines. Design data processing systems. Build data processing systems", "postedDate" : "2026-06-13T09:12:42.868", "createdAt" : "2026-06-13T09:12:42.868", "lastUpdated" : "2026-06-15T03:12:51.771", "ingestTimestamp" : "2026-06-13T09:12:42.868", "mongoId" : "6a2176c774d8ee00a0c1adbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency", "Mentoring", "Data engineering", "AWS services", "Data pipelines", "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD", "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns", "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 559.68805, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a67da74d8ee00a0631a8a", "title" : "Associate Director, Medical Information and Communication", "company" : "Freenome", "industry" : "Medical Diagnostics", "salary" : { "min" : 182750.0, "max" : 257250.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "CMPP-certification" ], "timestamp" : "2026-06-13T05:00:26.603", "fingerprint" : "cf0e0ab13bb7fd74ba414c8dcd3d53cf53b3c07baf8c06a4136ea60eb94bf25c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/freenome/jobs/8582750002", "externalId" : "8582750002", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceLevel" : "Director", "technicalSkills" : "AI tools", "professionalSkills" : [ "Medical Communications", "Medical Information", "Scientific engagement", "Claims matrices", "Competitive intelligence", "Scientific updates", "Scientific communications platforms" ], "hardSkillsList" : [ "Content development", "Inquiry response", "Publication summaries", "Talking points", "Congress summaries", "Evidence surveillance" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Content development", "level" : "intermediate" }, { "name" : "Inquiry response", "level" : "intermediate" }, { "name" : "Publication summaries", "level" : "intermediate" }, { "name" : "Talking points", "level" : "intermediate" }, { "name" : "Congress summaries", "level" : "intermediate" }, { "name" : "Evidence surveillance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Medical Information, Medical Communication, Scientific Platforms, AI Integration", "majorSkillsList" : [ "Medical Information", "Medical Communication", "Scientific Platforms", "AI Integration" ], "coreResponsibilities" : "Own Medical Information Inquiry response process, Develop and update medical content, Ensure medical content is current, Support Medical Communication activities, Incorporate field feedback, Partner across Medical Affairs, Marketing, Sales Training, Empower field medical teams, Triage and surveil evidence, Ensure consistent updates to medical communications strategy, Manage scientific communications platforms, Manage medical communication agency partners, Incorporate AI-driven solutions", "teamCollaboration" : "Cross-functional partnerships; Partnering across Medical Affairs; Partnering with Marketing; Partnering with Sales Training; Partnering with Field Medical; Partnering with Product; Cross-functional engagement", "projectManagementSkills" : [ "Scope management", "Timeline management", "Deliverable management", "Review cycles" ], "domainKnowledge" : "Cancer screening portfolio; Medical diagnostic industry; MLR review process; ICMJE; GPP3 best-practices; PhRMA/OIG compliance", "domainList" : [ "cancer-screening-portfolio", "medical-diagnostic-industry", "mlr-review-process", "icmje", "gpp3-best-practices", "phrma-oig-compliance" ], "domainSpecificKnowledge" : [ "Cancer screening portfolio", "Medical diagnostic industry", "MLR review process", "ICMJE", "GPP3 best-practices", "PhRMA/OIG compliance" ], "communicationSkills" : "Medical communication; Scientific voice; Medical narratives; Complex clinical data", "documentationSkills" : "Documentation", "innovationCreativity" : "AI-driven tools; AI-driven solutions", "problemSolvingSkills" : "Assessment; Triage; Surveillance", "qualificationsBasic" : "7+ years in Medical Affairs, 3–5 years in Medical Communications or Information, Advanced degree (PharmD, PhD, or MS), Bachelor's degree in scientific field, Proven experience implementing AI tools, Exceptional writing skills, Attention to detail, Ability to manage time and priorities, Adapt to fast-paced environment, Proven track record to complete deliverables, Expert-level proficiency developing scientific platforms, Excellent cross-functional skills, Deep understanding of MLR review process, Understanding of ICMJE and GPP3 best-practices, Understanding of PhRMA/OIG compliance guidelines, Exceptional ability to translate complex clinical data", "qualificationsPreferred" : "Formal training as an educator, CMPP-certification preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About this opportunity: As the Associate Director of Medical Information and Communication you will be a cornerstone of the broader Scientific Medical Affairs (SMA) team. You will lead the end-to-end internal and external medical communications that support the product portfolio. This role is positioned as a key strategic and tactical contributor, ensuring that the Freenome’s scientific, clinical, and technological advances are distilled into concise, fair, balanced, and aligned narratives across a spectrum of communication channels. The Associate Director will be accountable and responsible for all aspects of scientific and medical information, education, and communication for Freenome’s cancer screening portfolio. This leader will also manage medical communication agencies and foster cross-functional partnerships to maintain a consistent medical voice, while leveraging AI-driven tools for medical insight propagation and content generation. You will be the primary driver of the \"what\" behind our medical strategy, with cross-functional partnership across the organization, ensuring the company is equipped with appropriate content that is suitable across different levels of stakeholders at Freenome. The role reports to the VP Field Medical, Advocacy, and Medical Affairs Operations. This role will be a Hybrid or Remote role. What you’ll do: Medical Information Inquiry Response: Own the end-to-end Medical Information Inquiry response process from intake through resolution, including assessment, cross-functional triage, response development, approval, documentation, and timely complaint closure. Medical Content Development: Own, develop and update Freenome's medical content including FAQs, slide decks and training materials, standard response letters, publication summaries, talking points, congress summaries, and other materials as needed. Responsible for ensuring medical content is current and version-controlled. SMA Program Support: Support the development and delivery of Medical Communication activities including scientific communications platforms, claims, matrices, lexicon, and competitive evidence surveillance. Ensures incorporation of field feedback and provider/KOL questions to medical content. Cross-functional engagement: Your role is highly cross-functional, and will include: Partnering across Medical Affairs, Marketing and Sales Training on claims matrices to ensure that claims and related materials are aligned enterprise-wide to support Freenome's unified scientific voice. Empowering field medical teams for scientific engagement by collaborating across Medical Communications, Field Medical, Medical Training, Operations, and other partners as materials, training, and workflows are launched. Triaging and surveilling evidence generated through field insights, competitive intelligence, scientific updates for appropriate inclusion in education and communication channels, Partnering with Field Medical to ensure consistent and timely updates to medical communications strategy, tactics, and feedback loops. Scientific Communications Platform: Manages scientific communications platforms to drive consistency across medical communication tools and channels in partnership with Field Medical, Product, and Marketing. Manage medical communications agency partners, including scope, timelines, deliverables, review cycles, and quality of work, when applicable. AI Integration: Incorporate AI-driven solutions to capture, analyze, and propagate medical communications cross-functionally, ensuring Freenome stays at the forefront for data-driven decision-making. Must Haves: Experience: 7+ years in Medical Affairs, with at least 3–5 years specifically in Medical Communications or Information within the medical diagnostic industry. Education: Advanced degree (PharmD, PhD, or MS) preferred; Bachelor’s degree in a scientific field required. Formal training as an educator is preferred. Technical Savvy: Proven experience implementing AI tools in content development, exceptional writing skills and attention to detail. Ability to efficiently manage time and priorities and adapt to a fast-paced environment. Proven track record to complete deliverables Scientific Platform Development: Expert-level proficiency with developing scientific platforms and excellent cross-functional skills to attain company-level engagement and buy-in Compliance Knowledge: Deep understanding of the MLR review process ICMJE and GPP3 best-practices (CMPP-certification preferred) and PhRMA/OIG compliance guidelines. Communication: Exceptional ability to translate complex clinical data into digestible materials Benefits and additional information: The US target range of our base salary for new hires is $182,750 - $257,250. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information. Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Applicants have rights under Federal Employment Laws. Family & Medical Leave Act (FMLA) Equal Employment Opportunity (EEO) Employee Polygraph Protection Act (EPPA) #LI-REMOTE", "summaryDescription" : "Associate Director, Medical Information and Communication at Freenome. Skills: Medical Information, Medical Communication, Scientific Platforms, AI Integration. Own Medical Information Inquiry response process. Develop and update medical content", "postedDate" : "2026-06-11T18:25:07.731", "createdAt" : "2026-06-11T18:25:07.731", "lastUpdated" : "2026-06-13T05:00:26.603", "ingestTimestamp" : "2026-06-11T18:25:07.731", "mongoId" : "6a2a67da74d8ee00a0631a8a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 182750, "salaryAnnualMax" : 257250, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Content development", "Inquiry response", "Publication summaries", "Talking points", "Congress summaries", "Evidence surveillance", "Leadership", "Medical Information", "Medical Communication", "Scientific Platforms", "AI Integration", "Medical Communications", "Scientific engagement", "Claims matrices", "Competitive intelligence", "Scientific updates", "Scientific communications platforms", "Scope management", "Timeline management", "Deliverable management", "Review cycles", "Cancer screening portfolio", "Medical diagnostic industry", "MLR review process", "ICMJE", "GPP3 best-practices", "PhRMA/OIG compliance", "CMPP-certification" ], "skillCount" : 28, "jobCategory" : "other", "jobSubcategory" : "medical-affairs", "dataQualityScore" : 0.8888889, "_score" : 559.5451, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Medical Diagnostics" }, { "id" : "6a305abef292fd229cf5500b", "title" : "Health Information Specialist", "company" : "Datavant", "salary" : { "min" : 58000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Entry-level Health Information Specialists in Austin, TX, adjusted for company size and industry." }, "location" : "Texas", "locations" : [ "Texas" ], "timestamp" : "2026-06-16T08:01:31.292", "fingerprint" : "833a6d24bfc549fdd6565511685e0f87affae7a6f9abb943c8f915eca57d75ba", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.datavant.com/about/careers/open-roles/job?gh_jid=5138321008", "externalId" : "5138321008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. This is an entry level position responsible for processing all release of information (ROI), specifically medical record requests, in a timely and efficient manner ensuring accuracy and providing customers with the highest quality product and customer service. Associate must at all times safeguard and protect the patient’s right to privacy by ensuring that only authorized individuals have access to the patient’s medical information and that all releases of information are in compliance with the request, authorization, company policy and HIPAA regulations. Position Highlights - Onsite position in Austin, TX - Full-time, Mo-Fri 8:00 am-4:30pm - Front desk processing medical records requests and customer service duties - Full benefits: PTO, Health, Vision, Dental, 401k savings plan, and tuition assistance - Tremendous growth opportunities both locally and nationwide What We’re Looking For - Strong customer service and clerical skills - Proficient in Microsoft Office, including Word and Excel - Comfortable working in a high-volume production environment - Medical office experience preferred - Willingness to learn and grow within Datavant You will: Receive and process requests for patient health information in accordance with Company and Facility policies and procedures. Maintain confidentiality and security with all privileged information. Maintain working knowledge of Company and facility software. Adhere to the Company's and Customer facilities Code of Conduct and policies. Inform manager of work, site difficulties, and/or fluctuating volumes. Assist with additional work duties or responsibilities as evident or required. Consistent application of medical privacy regulations to guard against unauthorized disclosure. Responsible for managing patient health records. Responsible for safeguarding patient records and ensuring compliance with HIPAA standards. Prepares new patient charts, gathering documents and information from paper sources and/or electronic health record. Ensures medical records are assembled in standard order and are accurate and complete. Creates digital images of paperwork to be stored in the electronic medical record. Responds to requests for patient records, both within the facility and by external sources, retrieving them and transmitting them appropriately. Answering of inbound/outbound calls. May assist with patient walk-ins. May assist with administrative duties such as handling faxes, opening mail, and data entry. Must meet productivity expectations as outlined at specific site. May schedules pick-ups. Other duties as assigned. What you will bring to the table: High School Diploma or GED. Ability to commute between locations as needed. Able to work overtime during peak seasons when required. Basic computer proficiency. Comfortable utilizing phones, fax machine, printers, and other general office equipment on a regular basis. Professional verbal and written communication skills in the English language. Detail and quality oriented as it relates to accurate and compliant information for medical records. Strong data entry skills. Must be able to work with minimum supervision responding to changing priorities and role needs. Ability to organize and manage multiple tasks. Able to respond to requests in a fast-paced environment. Bonus points if: Experience in a healthcare environment. Previous production/metric-based work experience. In-person customer service experience. Ability to build relationships with on-site clients and customers. Comfortable bringing new ideas, process improvement suggestions, and feedback to internal stakeholders. To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.", "summaryDescription" : "Health Information Specialist at Datavant", "postedDate" : "2026-06-15T23:27:52.056", "createdAt" : "2026-06-15T23:27:52.056", "lastUpdated" : "2026-06-16T08:01:31.292", "ingestTimestamp" : "2026-06-15T23:27:52.056", "mongoId" : "6a305abef292fd229cf5500b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 58000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 558.51135, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677aec", "title" : "T6_Chief Data and AI Architect", "company" : "MBRDI", "industry" : "Manufacturing", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Chief Data and AI Architect in Bangalore, India, adjusted for industry and company size." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "certifications" : [ "Azure Data Engineer", "Azure Architect", "AWS Certified Machine Learning" ], "timestamp" : "2026-06-15T10:23:16.352", "fingerprint" : "370e2b00770dd492a2575292193f9eb76fd8365da30dfb9faa3fab6b2d172cdd", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=877618", "externalId" : "877618", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data Architecture, Data Engineering, AI, ML, Spark, Dbt, Kafka, Databricks, Synapse, Snowflake, APIs, Python, R, Scala, TensorFlow, PyTorch, Azure ML, SageMaker, Delta Lake, AWS, GCP, Azure", "professionalSkills" : [ "Solution design", "Stakeholder management", "Team leadership", "Thought leadership", "Knowledge sharing", "Technical excellence" ], "hardSkillsList" : [ "Data modeling", "Data ingestion", "Data integration", "Metadata management", "Data lineage", "Data quality", "Model lifecycle management", "Model versioning", "Model monitoring", "Risk assessment" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Model lifecycle management", "level" : "intermediate" }, { "name" : "Model versioning", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" } ], "majorSkills" : "Data Architecture, AI, ML, Data Engineering", "majorSkillsList" : [ "Data Architecture", "AI", "ML", "Data Engineering" ], "coreResponsibilities" : "Design scalable data architectures, Oversee data ingestion, Oversee data integration, Oversee data transformation, Define metadata best practices, Define data lineage best practices, Define data quality best practices, Lead data model development, Lead data pipeline development, Lead data transformation development, Enable self-serve analytics, Identify AI/ML use cases, Evaluate AI/ML use cases, Design AI solutions, Build AI pipelines, Build ML pipelines, Promote responsible AI, Define AI governance frameworks, Implement AI governance frameworks, Establish model policies, Act as thought leader, Inspire cross-functional teams, Mentor cross-functional teams, Facilitate knowledge sharing, Promote technical excellence, Promote curiosity", "teamCollaboration" : "Cross-functional teams; DevOps teams; Cloud teams; BI teams; Analytics teams; Data Scientists; MLOps engineers; Product owners", "domainKnowledge" : "Data lakehouse; Streaming data; Unstructured data; Structured data; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Responsible AI; Ethical AI; Model interpretability; GenAI", "domainList" : [ "data-lakehouse", "streaming-data", "unstructured-data", "structured-data", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "responsible-ai", "ethical-ai", "model-interpretability", "genai" ], "domainSpecificKnowledge" : [ "Data lakehouse", "Streaming data", "Unstructured data", "Structured data", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Responsible AI", "Ethical AI", "Model interpretability", "GenAI" ], "toolProficiency" : [ "Dbt Cloud", "Fivetran", "Airflow" ], "communicationSkills" : "Stakeholder communication; Technical concepts communication", "innovationCreativity" : "Innovation", "qualificationsBasic" : "Bachelor's or Master's degree, 10+ years experience, Cloud data platforms experience, AI/ML frameworks knowledge, Governance frameworks experience, Data privacy experience, MLOps experience, Excellent communication skills, Stakeholder management skills, Lead technical teams ability", "qualificationsPreferred" : "AI / GenAI usecase delivery experience, Model interpretability experience, Regulatory compliance experience, Enterprise data modernization experience, AI transformation programs experience, Cloud data architecture certifications, AI certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. We are seeking a visionary Data and AI Chief Architect to lead the design, development, and governance of department wide data and AI solutions. This role requires a balance of deep technical expertise, architectural vision, and the ability to inspire cross-functional teams toward a unified data and AI strategy. As a key member of the architecture and innovation team, you will shape how data is collected, transformed, and leveraged across the organization — enabling scalable data engineering pipelines, responsible AI adoption, and the delivery of intelligent business outcomes. Key Responsibilities 1. Data Architecture & Engineering Design and implement modern, scalable data architectures (data lakehouse, streaming, APIs, etc.) to support analytics and AI workloads. Oversee data ingestion, integration, and transformation processes across structured and unstructured sources. Partner with DevOps and Cloud teams to ensure data platforms meet enterprise performance, security, and compliance standards. Define best practices for metadata management, data lineage, and data quality frameworks. 2. Data Transformation & Analytics Enablement Lead the development of robust data models, pipelines, and transformations using modern tools (e.g., Spark, dbt, Kafka, Databricks, Synapse, Snowflake, etc.). Collaborate with BI and analytics teams to ensure data is clean, contextual, and analytics-ready. Enable business units to self-serve and innovate through governed data products and APIs. 3. AI Use Case Discovery & Delivery Partner with business stakeholders to identify and evaluate high-impact AI/ML use cases. Provide technical leadership in designing AI solutions — from proof of concept to production deployment. Collaborate with Data Scientists and MLOps engineers to build scalable AI and machine learning pipelines. Promote responsible AI practices ensuring transparency, fairness, and explainability in all AI initiatives. 4. AI Governance & Strategy Define and implement frameworks for AI governance, including ethical AI guidelines, model lifecycle management, and compliance. Establish policies for model versioning, monitoring, and risk assessment. Act as a thought leader on AI maturity and innovation across the organization. 5. Cross-Functional Leadership & Inspiration Inspire and mentor cross-functional teams — including engineers, analysts, and product owners — toward data-driven and AI-powered ways of working. Facilitate knowledge sharing and promote a culture of technical excellence and curiosity. Communicate complex technical concepts to non-technical stakeholders effectively. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related field. 10+ years of experience in data architecture, data engineering, or AI/ML solution design. Proven experience with cloud data platforms (Azure, AWS, or GCP) and modern data stack tools. Strong knowledge of AI/ML frameworks (TensorFlow, PyTorch, Azure ML, SageMaker, etc.). Experience with governance frameworks, data privacy, and MLOps. Excellent communication and stakeholder management skills. Demonstrated ability to lead and inspire technical teams. Preferred Qualifications Experience in AI / GenAI usecase delivery , model interpretability, and regulatory compliance. Prior experience leading enterprise data modernization or AI transformation programs. Certifications in cloud data architecture or AI (e.g., Azure Data Engineer/Architect, AWS Certified Machine Learning). Why Join Us? Be part of a purpose-driven organization that’s shaping the future of mobility. Work on cutting-edge technologies and global projects. Thrive in a collaborative, diverse, and inclusive environment. Access world-class infrastructure and learning opportunities. Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "T6_Chief Data and AI Architect at MBRDI. Skills: Data Architecture, AI, ML, Data Engineering. Design scalable data architectures. Oversee data ingestion", "createdAt" : "2026-06-14T08:27:53.793", "lastUpdated" : "2026-06-15T10:23:16.352", "ingestTimestamp" : "2026-06-14T08:27:53.793", "mongoId" : "69ce5e3b9bc74574cb677aec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data ingestion", "Data integration", "Metadata management", "Data lineage", "Data quality", "Model lifecycle management", "Model versioning", "Model monitoring", "Risk assessment", "Data Architecture", "AI", "ML", "Data Engineering", "Solution design", "Stakeholder management", "Team leadership", "Thought leadership", "Knowledge sharing", "Technical excellence", "Data lakehouse", "Streaming data", "Unstructured data", "Structured data", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Responsible AI", "Ethical AI", "Model interpretability", "GenAI", "Azure Data Engineer", "Azure Architect", "AWS Certified Machine Learning", "Dbt Cloud", "Fivetran", "Airflow" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 558.44196, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ebf7e74d8ee00a0e9ac3b", "title" : "Sample Handling Assistant", "company" : "Labcorp", "salary" : { "min" : 300000.0, "max" : 450000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Entry-level Sample Handling Assistant in Bengaluru, India, based on 2024-2025 market data for the healthcare industry, adjusted for seniority and city tier." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T00:29:50.912", "fingerprint" : "9bea757fda0d2b98abf1e24179d530d58ee84f6ed67e5301e00c76b2870d0115", "source" : "workday", "language" : "en", "applyUrl" : "https://labcorp.wd1.myworkdayjobs.com/External/job/Bengaluru-India/Sample-Handling-Assistant-I_2616012", "externalId" : "2616012", "industryFunction" : { }, "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's Degree", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "majorSkills" : "Process management, Operational efficiency", "majorSkillsList" : [ "Process management", "Operational efficiency" ], "coreResponsibilities" : "Assist with sample handling, Maintain laboratory equipment, Follow standard operating procedures, Ensure accurate record-keeping, Support research and development activities, Collaborate with laboratory staff, Manage inventory of supplies, Prepare samples for analysis", "teamCollaboration" : "Laboratory staff; Research teams", "domainKnowledge" : "Laboratory operations; Sample handling protocols", "domainList" : [ "laboratory-operations", "sample-handling-protocols" ], "domainSpecificKnowledge" : [ "Laboratory operations", "Sample handling protocols" ], "documentationSkills" : "Accurate record-keeping", "qualificationsBasic" : "5+ years of experience in a relevant field, Bachelor's degree or equivalent experience", "qualificationsPreferred" : "Master's degree or PhD, Experience in a fast-paced environment, Experience with laboratory operations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare providers, researchers, and patients make informed decisions that advance care. Join us in our mission to improve health and improve lives _._ Labcorp is seeking a Sample Handling Assistant I to join our team at Yeshwantpur in Bengaluru, Karnataka **Work Schedule** Rotating Shift **Job Responsibilities** The Sample Handling Assistant I, is accountable for the data entry and the processing of requisitions received in batches from various regional LPS teams. The Sample Handling Assistant I will perform a variety of tasks. **Performs main functions of the department as needed, which includes but not limited to:** * Accessioning: First & Second entry of patient demographics and administrative questions displayed on requisitions completed in a timely manner * Responsible for completing various batches according to their urgency and defined turnaround time. * Perform Accessioning or Data entry process under supervision of trainer with the expectations to perform Accessioning process independently after completion of training **Additional Responsibilities:** * Ensure received batches are timely processed. * Generate an appropriate audit trail of all activities. * Perform On-call and after-hours duties as needed. * Ensure concerned SOPs are timely read. * Adhere to all company policies and procedures and perform all departmental and interdepartmental SOPs as written. * Adhere to Home Office Policy stated by the company. * Perform all required training. * Maintain the training file correct and up to date. * Ensure proper documentation is made for future reference. * Work well within team environment. * Generate new ideas for departmental process improvement. **Minimum Qualifications** Bachelor’s Degree in Science **Preferred Qualifications** 6 months work experience in a clinical research industry. Master's Degree in Science. **Additional Job Standards** * Strong attention to detail * Ability to work in a team environment **Labcorp is proud to be an Equal Opportunity Employer:** Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. **We encourage all to apply** If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our [accessibility site](https://careers.labcorp.com/global/en/accessibility) or contact us at [Labcorp Accessibility.](mailto:Disability_apply@LabCorp.com) For more information about how we collect and store your personal data, please see our [Privacy Statement](https://www.labcorp.com/about/web-privacy-policy).", "summaryDescription" : "Sample Handling Assistant at Labcorp. Skills: Process management, Operational efficiency. Assist with sample handling. 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