Data Governance Specialist Jobs

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Overview As a Staff/Senior Process Development Engineer within PDE-CEM, you will leverage advanced semiconductor process characterization, failure analysis, yield analytics, and process integration expertise to accelerate product and technology development. The role focuses on developing robust assembly processes, improving yield and reliability, supporting New Product Introduction (NPI), and utilizing data-driven methodologies to optimize manufacturing performance. The ideal candidate combines strong semiconductor physics knowledge, advanced characterization skills, yield improvement experience, and cross-functional leadership capability to drive continuous process innovation and manufacturing excellence. Key Responsibilities Process Development & Characterization Develop and optimize Process of Record (POR) for assembly and packaging technologies. Establish process windows, process capability targets, and characterization strategies. Apply statistical methodologies including DOE, SPC, JMP, and Six Sigma to characterize and optimize manufacturing processes. Drive early process learning through advanced characterization and failure analysis techniques. Yield Improvement & Problem Solving</

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Project Title Diffusion Capacity Optimization Through Constraint Workstation Improvement Project Description This internship provides an opportunity to work on projects focused on improving capacity and operational efficiency within the Diffusion manufacturing area. The intern will analyze manufacturing data, evaluate workstation performance, investigate recurring production constraints, and develop recommendations to improve equipment utilization, manufacturing throughput, and cycle time performance. The project will provide exposure to manufacturing engineering methodologies, capacity management, statistical analysis, and cross-functional collaboration within a semiconductor manufacturing environment. Objective of the Project Analyze Diffusion manufacturing performance and capacity utilization. Identify workstation constraints that impact throughput and cycle time performance. Investigate key sources of capacity loss and evaluate improvement opportunities. Develop data-driven recommendations to improve operational efficiency and manufacturing performance. Opportunities for Full Time Employment Successful interns who demonstrate strong analytic

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are the Compute and Memory Business Unit (CMBU), driving the innovation behind Micron's next generation DRAM solutions for AI, data center, and client computing platforms. Our team collaborates across product architecture, design, validation, and system engineering to solve complex challenges in bandwidth, power, reliability, and scalability. Together, we help shape the future of memory technology for the world's most demanding compute environments. As a Product Architecture Engineer focused on Signal Integrity (SI) and Power Integrity (PI), you will define the electrical architecture that enables next-generation DRAM products. This highly visible role combines deep technical expertise with system-level thinking to influence product roadmaps, guide design decisions, and partner with industry-leading ecosystem stakeholders. Your work will help deliver memory solutions that power tomorrow's AI and high-performance computing platforms. Responsibilities: Lead SI/PI architecture pathfinding for next-generation DRAM products across AI, data center, and client platforms Define channel, package, board, and module-level SI/PI requirements and design targets for product development Evaluate DDR and LPDDR electrical performance, including timing, jitter, signal margin, crosstalk, impedance, reflections, and power delivery behavior Develop and apply modeling, simulation, and correlation methodologies using industry-standard EDA tools and validation data Partner across design, validation, package,

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary As a New Product Introduction Engineer, you will drive wafer-level reliability and quality performance for advanced NAND flash products through data analysis, failure diagnostics, and process optimization. Working closely with cross-functional teams, you will develop and enhance reliability test capabilities, investigate quality issues, support product qualification, and deliver insights that improve manufacturing performance, product reliability, and time-to-market. Success in this role requires strong analytical thinking, problem-solving abilities, technical curiosity, and the ability to work effectively with internal and external stakeholders in a dynamic semiconductor environment. Main Responsibilities Hands-on data visualization and chart generation (eg. JMP) Data Processing tools such as Perl, Python (similar programming/scripting languages) HTML development for data display interface Electrical Failure Analysis diagnostic skills Accountable for Fab Reliability performance, define wafer level Reliability sampling plan, execute OCAP procedures and Bench EFA validation. Work with fab to meet extrinsic and intrinsic targets through process improvement. <l

About AiDASH AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid. Learn more at www.aidash.com. The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500 ™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024. Join us in Securing Tomorrow Together! The Role As a Director/Senior Director of Sales at AiDASH, you will be the driving force behind transforming how utilities approach climate resilience and operational excellence. This is a high-impact, high-visibility role for exceptional enterprise sales professionals who excel at selling a unique vision of the AiDASH PreventionFirst Platform to senior executives. In this role, you will originate and orchestrate complex enterprise deals that advance AiDASH's mission of Securing Tomorrow. You will help shape the future of critical infrastructure while delivering transformative value to our customers and to AiDASH. Our pending acquisition by Schneider Electric will accelerate our mission as we bring our combined offering to our joint customer base and deliver bigger customer outcomes than we could on our own. We're hiring across three sales pods at AiDASH, and we'll wor

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Test Instrumentation Engineer to own the external data capture architecture for flight tests across our autonomous UAS platforms. This role is responsible for the systems around the vehicle that tell us what actually happened during a test, including high-speed video, drone footage, external sensors, range instrumentation, and precise time synchronization between those sources and vehicle telemetry. This is a hands-on field engineering role for someone who can design, deploy, troubleshoot, and validate multi-source capture systems in dynamic range environments. You will support the full test lifecycle, including planning, readiness reviews, dry runs, day-of-test execution, and post-test data handoff. Because Mach develops low-cost, rapidly iterated UAS platforms, external instrumentation is often critical to failure analysis and engineering decision-making. In some cases, the external dataset becomes the most important record of the event. Success in this role requires technical judgment, discipline under field conditions, and the ability to turn raw test capture into trusted engineering evidence on a fast development cadence. Key Responsibilities Plan and deploy external data capture systems for flight tests, includ

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About Production Engineering Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them. A few things that define how we operate: One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle. If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack. We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed. We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix

We’re looking for a Platform Delivery Specialist, to configure client accounts across Hootsuite's core platform and our social listening tool, Lumen by Talkwalker - build the dashboards, automated reports, workflows, and alerts clients depend on, and deliver standard training sessions. For new clients, you’ll partner with our Professional Services Implementation team to ensure the platform setup meets customer requirements and is delivered in a timely manner. For existing clients, you’ll partner with Customer Success for ongoing platform delivery work You’ll be responsible for setting up the technical basics properly, keeping our data clean and ensuring our account structure scales as we grow. **Por favor asegúrese de que su currículum y su solicitud estén en inglés.** WHAT YOU’LL DO Configure Hootsuite platform (eg, Teams & Permissions, Planner, Analytics) to documented client requirements and internal specs Design and implement enterprise account structures, custom tagging taxonomies, and granular role-based permissions across Hootsuite and Lumen by Talkwalker Build social listening dashboards and topic/query structures in Lumen to client specifications Build automated reports, scheduled exports, and alert logic (e.g., spike detection, sentiment thresholds, keyword triggers) using native tool capabilities Help clients configure AI agents within the platform, and use AI tools to increase your own efficiency on repeatable build and reporting tasks Deliver standard, repeatable training sessions to clients on platform use and reporting features Support our third party Partner delivery network with trainings and build QA Review completed configuration and reporting work for quality, catching defects before handoff and partnering with clients for UAT Interact directly with clients as it relates to your platform build work: confirming request details, demoing a completed dashboard or workflow, or walking through a report&nbsp

About the team The People Product team builds the internal tools and frameworks that power every employee's journey across DoorDash, Deliveroo, and Wolt. We combine a hybrid "build + buy" approach to deliver intelligent, scalable and people-centric experiences across hiring, compensation, onboarding, learning, performance and more — connecting our mission to empower local economies with the experience of the people who make it happen. We partner closely with Design, Engineering, Analytics, People/HR, Total Rewards and Talent Acquisition to build products that elevate the entire People Tech stack across all three brands. About the role We're hiring a Senior Product Manager to own the our internal compensation products — this includes the tooling, data, and AI that determine how DoorDash sets and maintains pay ranges across every job family, level, and country. Range setting is the starting point, as it is the core process of a compensation team and the infrastructure everything else is built on. Your role is to turn that into a product: a range-setting workspace that ingests market and internal data to enable a Compensation Partner to review and make decisions. This is an individual contributor role with a clearly scoped product area. The range-setting tool and the monitoring dashboard are the anchor. You will also own the seams into adjacent compensation surfaces — recruiter offer guidance, budget modeling, headcount planning, and Workday range loads — wherever they depend on range data. What you'll be doing Own product decisions for the compensation range-setting stack — the range tool, its recommendation engine, and the monitoring dashboard — partnering with Compensation on methodology while owning how that methodology becomes product logic. Define the data pipelines and data products that range setting depends on — historical ranges, offers, incumbent, and attrition data — and own the partnership with People Analytics on the semantic layer and the proposed compen

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Lyft Rider Science team is seeking an Applied Scientist intern to develop next-generation user simulation methods using state of the art AI methods. The goal of this project is to develop and validate LLM-based Rider Agents that can serve as behavioral proxies for real riders, and study when agent simulations can provide reliable signal about rider responses to product interventions before online experimentation. You will build agent-based simulation systems grounded in real rider context and behavioral data, evaluate their fidelity against observed rider behavior and historical experiments, and study where these simulations can accelerate product iteration and experimentation. This role combines LLM engineering, agent-based modeling, machine learning, and causal inference with direct applications to real-world rider products. The expected outcome is to build a working Rider Agent simulation prototype, establish an evaluation framework for measuring simulation fidelity and validate the framework using historical rider experiments. Responsibilities: Develop LLM-based Rider Agents that represent heterogeneous rider contexts, preferences, histories, and behaviors Build agent-based simulation environments for evaluating rider interactions with different product experiences and interventions Build evaluation pipelines to assess realism, robustness, and mechanism plausibility of simulated behavior against human data or established theory Analyze emergent behaviors and interaction dynamics in simulated populations under different user segment and marketplace conditions Conduct experiments and ablation studies on agent behavior, interaction dynamics, and simulation validity Apply the simulation framework to real Rider product problems and assess its usefulness for hypothesis generation, product iteration