Data Loss Prevention Lead Jobs

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As an Accounting Manager, GL Operations & Intercompany, you'll join the Controllership team to support Global GL Operations end-to-end month-end close processes and directly oversee Coinbase's global intercompany framework and general ledger functions. The GL Operations team ensures the integrity of our global consolidation, the accuracy of our general ledger, and the scalability of our financial infrastructure. You'll drive operational excellence across close, consolidation, and intercompany workstreams while supporting Coinbase's continued international growth. What you'll do: Own end-to-end month-end and quarter-end close processes across global entities, ensuring timely, accurate general ledger reporting and consolidated financial statements. Lead global intercompany operations including billing, cash settlements, transfer pricing execution, foreign exchange gain/loss analysis, and elimination entries. Partner with Tax, Treasury, Legal, and Finance Data to operationalize new intercompany agreements, entity launches, and transfer pricing methodologies into scalable processes. Drive the design, implementation, and documentation of SOX-compliant internal controls across GL operations and intercompany processes. Execute strategic GL projects including M&A integration, new entity set-ups, and ERP enhancements in NetSuite. Strengthen team capability by mentorin

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As an Accounting Manager, GL Operations & Intercompany, you'll join the Controllership team to support Global GL Operations end-to-end month-end close processes and directly oversee Coinbase's global intercompany framework and general ledger functions. The GL Operations team ensures the integrity of our global consolidation, the accuracy of our general ledger, and the scalability of our financial infrastructure. You'll drive operational excellence across close, consolidation, and intercompany workstreams while supporting Coinbase's continued international growth. What you'll do: Own end-to-end month-end and quarter-end close processes across global entities, ensuring timely, accurate general ledger reporting and consolidated financial statements. Lead global intercompany operations including billing, cash settlements, transfer pricing execution, foreign exchange gain/loss analysis, and elimination entries. Partner with Tax, Treasury, Legal, and Finance Data to operationalize new intercompany agreements, entity launches, and transfer pricing methodologies into scalable processes. Drive the design, implementation, and documentation of SOX-compliant internal controls across GL operations and intercompany processes. Execute strategic GL projects including M&A integration, new entity set-ups, and ERP enhancements in NetSuite. Strengthen team capability by mentorin

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Fraud Strategy is responsible for building scaled fraud mitigation systems that prevent fraud and protect the financial ecosystem, while minimizing disruption to good users. The fraud team’s mission is to protect Stripe, our users, and the broader financial ecosystem from actors who abuse Stripe accounts for financial gain. What you’ll do As a Fraud Strategist, you will be responsible for building strategies to mitigate fraud (buyer fraud, seller fraud and account fraud) on new and existing Stripe products. You will enable safer money movement for our users and help Stripe manage fraud risks intelligently. The stakes are high, and you will be up against ever-evolving challenges. You will face some of the most complex and dynamic problems at the company, and the nature of your work will evolve rapidly to combat new and more sophisticated challenges to Stripe's integrity in the financial ecosystem. You'll partner closely with Product, Engineering, Data Science, Operations and other Risk Strategy functions to ensure fraud controls are embedded in every Stripe product. Beyond protecting against fraud risk, you'll drive innovation in how Stripe approaches fraud management— staying ahead of emerging fraud trends and pushing the boundaries of what effective, scalable fraud risk management looks like at a global payments company. Responsibilities Monitor portfolio to identify, mitigate and predict risky behavior that could result in loss

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the Organization The Core Infrastructure organization operates the foundational systems that power Stripe globally — including databases (MongoDB, PostgreSQL), high availability and disaster recovery (HADR), AWS cloud infrastructure, Linux servers, container orchestration, mesh networking, service discovery, and network edge infrastructure. Within Core Infra, the Regional Enablement Platform (REP) team helps Stripe launch and operate new regions without learning about broken dependencies from users. REP builds the regionalization, validation, deploy-safety, and operator tooling needed to answer practical launch-readiness questions: can critical payment paths run from the new region, which services still depend on a remote control plane, what breaks under packet loss or failover, and what must be fixed before deploys, launches, traffic shifts, or failovers proceed. The team uses traffic replay, synthetics, failover drills, dependency analysis, CI/CD gates, and incident data to turn those findings into platform fixes, service-owner asks, and reusable readiness checks across networking, HADR, and service teams. This role is based in Bangalore and serves as a senior technical anchor for Core Infrastructure in India, with direct cross-region influence across AMER, EU, and APAC. What you'll do As a Staff Engineer on REP, you will play a key leadership role in enabling Stripe's infrastructure to power all of our products, globally and at scale. You will

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We're looking for an Optical Interconnect System Engineer to design, qualify, and deploy scalable optical connectivity for large-scale AI infrastructure. This role spans fiber-system architecture, optical-mechanical integration, validation, reliability, deployment, and serviceability. You will work with optical, mechanical, electrical, networking, manufacturing, reliability, and data-center teams to translate system needs into practical interconnect solutions. This is a hands-on role for someone who can connect design decisions with installation, qualification, troubleshooting, and long-term operational performance. In this role, you will: Define optical interconnect architectures and requirements across hardware platforms and rack-level systems. Design high-density fiber systems for performance, density, reliability, installation, and serviceability. Lead optical-mechanical integration and cross-functional design reviews. Develop test and qualification plans for optical components, modules, switching platforms, and integrated systems. Own optical loss budgets, routing guidelines, handling requirements, and serviceability criteria. Support system bring-up, deployment, troubleshooting, failure analysis, and reliability improvement. Create reusable design guidelines, interface requirements, and qualification methods. You might thrive in this role if you have: Core experience Experience desi

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: About Abbott Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. An excellent retirement savings plan with a high employer contribution Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. <br /

Data Engineer-6336 itD is seeking an experienced Data Engineer to build and modify high-complexity data pipelines, monitoring, and alerting systems supporting a legal-focused infrastructure team. The ideal candidate will bring deep expertise in SQL, Python, ETL/data pipelines, and data warehousing , along with a proven track record of leading complex, cross-functional data engineering initiatives from planning through delivery. Location: Remote, with preference for candidates based in California and ideally the Bay Area. Candidates open to occasional onsite work in San Francisco should indicate this in their skills matrix. Contract: 3Months Pay Rate: depending on experience and market rate. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Build and modify high-complexity ETL and data pipelines to efficiently extract, transform, and process data from large-scale datasets. Develop and maintain monitoring and alerting systems that proactively identify data, infrastructure, and workflow issues. Design data warehousing solutions and optimize queries and pipelines for large-scale data processing. Collaborate with attorneys, data scientists, engineers, and other technical and non-technical stakeholders to understand data requirements, sources, dependencies, and timelines. Lead end-to-end data engineering initiatives across cross-functional teams, including planning, documentation, stakeholder coordination, system design, and execution. Identify potential data and system issues early and implement solutions that improve reliability, efficiency, and operational visibility. Communicate technical concepts and project status clearly and concisely to both technical and non-technical audiences. Internal Responsibilities Attend regular internal practice community meetings. Collaborate with your itD practice team on indu

We believe communication belongs to everyone. We exist to democratize phone service. TextNow is evolving the way the world connects, and that's because we're made up of people with curious minds who bring an optimistic yet critical lens into the work we do. We're the largest provider of free phone service in the nation. And we're just getting started. Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere. TextNow is looking for an experienced Data Developer with hands-on experience designing and developing data platforms. You will own the design, development, and maintenance of TextNow's data platform, enabling us to make effective data-informed decisions. You will be part of cross-functional efforts to build scalable and reliable frameworks that support allTextNow's business and data products. In this role, you can interact with different functional areas within the business and influence decision-making in a fast-growing mobile communications start-up. This role is about impact at scale. You’ll shape how TextNow builds and operates its systems in an AI-first environment where intelligent tooling is embedded into everyday engineering practice. Using AI is not optional, it’s expected. From design and architecture to implementation, testing, debugging, documentation, and operational analysis, you will actively leverage AI tools to increase velocity, improve code quality, and make better technical decisions. We provide a robust suite of AI-powered development tools and workflows to support you, and we expect you to continuously evolve how you use them to raise the bar for efficiency, clarity, and product excellence across the organization. What You'll Do Own TextNow's data warehouse, data pipelines, and integration points between various business systems. Design, develo

We believe communication belongs to everyone. We exist to democratize phone service. TextNow is evolving the way the world connects, and that's because we're made up of people with curious minds who bring an optimistic yet critical lens into the work we do. We're the largest provider of free phone service in the nation. And we're just getting started. Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere. About the role We’re looking for a business-minded Data Scientist who pairs strong technical skills with sound judgment about which problems are worth solving. You’ll partner with product, marketing, finance, engineering, and trust & safety to turn ambiguous questions into rigorous analyses, models, and experiments — and then turn the results into decisions. The problems are real and the data is large: understanding what drives user acquisition, engagement, and retention; improving monetization across ads and subscriptions; measuring the impact of product changes; and helping keep our network safe from fraud and abuse. You’ll own work end to end, from framing the question to landing the recommendation with leadership. What you’ll do Frame the right questions. Work with stakeholders to understand business challenges, spot where data can make a difference, and translate open-ended questions into structured analyses with clear success criteria. Find what drives the business. Dig into large, complex datasets to uncover the trends, segments, and behaviors behind user growth, engagement, retention, and revenue. Build models that get used. Develop and apply statistical and machine learning methods — predictive models, segmentation, forecasting, causal inference — and evaluate them honestly, including their assumptions and limitations. Run and read experiments. Design, analyze, and interpret A/B tests and quasi-experiments that inform product and marketing decisions. Defin

What is PerfectServe? PerfectServe is a leading provider of clinical communication and physician scheduling solutions in the health IT space. The company was founded in 1997 and has grown steadily since then, with a notable jump after several major acquisitions were announced in 2019. PerfectServe now has 400+ employees, 30,000+ customers — spanning medical practices, hospitals, and health systems — and $100 million+ in annual revenue. PerfectServe’s mission is to accelerate speed to care by optimizing provider schedules and routing communications — including messages, pages, calls, and alerts — to the right place at the right time in any care setting. By facilitating real-time information sharing, building better schedules, and automating important clinical workflows, we believe we can help our customers advance patient care and improve the well-being of their clinicians. Leading analyst firms like Gartner® and KLAS Research have consistently validated our approach: In 2026, PerfectServe was named highest in execution and furthest in vision in the Gartner Magic Quadrant™ for Clinical Communication and Collaboration — the clear segment leader. PerfectServe also received two Best in KLAS awards in 2026 — one for physician scheduling and another for ambulatory clinical communications. That makes for 11 Best in KLAS awards over the past 9 years. At PerfectServe, you'll have a unique opportunity to join a collaborative team with decades of experience that finds new ways to delight our customers every day. This involves consistent efforts to stay on the cutting edge of product development, which includes everything from implementing AI in new and existing solutions to brainstorming with customers about novel workflows. But you don't have to be in product to make in impact — everybody at PerfectServe contributes to important work that moves the business forward. If you're looking for a well-established, tech-forward company full of smart people doing meaningful work

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About AlphaSense: AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent requi

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We’re looking for a Data Scientist to join our drug pricing optimization team supporting a major reseller health plan client. This is a strong opportunity for a data scientist who brings technical depth, practical problem-solving, and curiosity, and who wants to grow in a squad-based environment with real business impact. In this role, you would help the team solve complex pricing and optimization problems, contribute to data science workflows used in production-oriented settings, and partner with technical and business stakeholders to turn analytical work into clear decisions. Over time, this role offers room to grow into broader squad leadership responsibilities through strong ownership, follow-through, and communication. What you’ll do: Contribute to the design, development, and improvement of data science and optimization solutions for drug pricing Analyze complex datasets to identify patterns, issues, and opportunities that improve pricing performance and decision quality Build, test, debug, and maintain code in Python and SQL to support analytics, modeling, and operational workflows Breaking down messy business and technical problems into actionable analyses and practical next steps Work within cloud-based and production-oriented environments, including GCP and team development tools such as VS Code Suppo

Leidos is seeking a highly analytical and curious Data Analyst who is passionate about turning data into actionable business insights. The ideal candidate combines strong technical expertise with critical thinking and exceptional communication skills. This role requires someone who can work independently, uncover meaningful patterns in complex datasets, and communicate findings in a way that drives informed business decisions. *The Data Analyst will be a hybrid role, 50% onsite in the Fort Worth, TX office and 50% remote. The candidate for this role must be within commutable distance to the office location. Primary Responsibilities: Extract, clean, transform, and validate data from multiple sources, including relational databases. Write efficient SQL queries to retrieve, manipulate, and analyze large datasets. Develop Python-based data analysis workflows for data exploration, modeling, and reporting. Perform exploratory data analysis (EDA), including univariate, bivariate, and multivariate analysis. Apply statistical methods and predictive modeling techniques such as linear regression and other statistical evaluations. Utilize AI and machine learning tools to identify trends, generate insights, and improve analytical processes. Build and evaluate machine learning models, including: Regression Classification Clustering Decision Trees Supervised Learning Unsupervised Learning Investigate data anomalies and independently determine the root causes behind unexpected results. Identify the most relevant data elements, metrics, and business questions without requiring extensive direction. Translate complex analytical findings into clear, compelling presentations and recommen

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for Data Engineering interns who are excited to help scale the systems and pipelines that power decision-making at Figma. As an intern on our data team, you will partner with engineers and analysts to design and build reliable datasets, ensure data quality, and make Figma's data more accessible across the company. This internship will be based out of our San Francisco or New York Hub. What you'll do at Figma: Build, test, and document data pipelines that bring product or business data into Figma’s data warehouse Help design foundational datasets that are trusted, well-documented, and easy to use Optimize pipelines for performance and scalability as Figma grows Partner with cross-functional teammates to understand data needs and deliver solutions Contribute to the tools and practices that make working with data at Figma easier With support from a manager and mentor, you’ll own a scoped project from problem definition through implementation, testing, documentation, and sharing the results. Some projects you could work on: Develop new ETL jobs to integrate product or business data into our warehouse Improve the performance and reliability of core pipelines Build reusable datasets that support experimentation, product and business analytics, or cross-functional stakeholders Document and simplify complex data workflows for broader use We'd love to hear from you if you have: Experience coding in Python or a similar language and writing SQL queries Experience building or working with dat

Job Title: Senior Data Analyst Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical and BI solutions while collaborating closely with Data Engineering teams. Key Responsibilities Work on a wide range of data analytics, data visualization, and business intelligence problems across various industries. Engage with clients and business stakeholders to understand business context, objectives, and challenges. Analyze and document business processes, mapping end-to-end workflows using visual formats such as process flow diagrams. Translate business problems into analytical solutions by defining metrics, KPIs, dashboards, and reports. Develop, publish, and maintain interactive dashboards and visualizations to support business decision-making. Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders. Collaborate closely with Data Engineering teams by providing clear and detailed requirements. Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics delivery. Perform quality checks (QC) and validation of reports and dashboards before client delivery. Participate in regular client and internal meetings and prepare clear MoM (Minutes of Meeting) documentation. Maintain proper documentation for dashboards, metrics, data logic, and business rules. Track work items, enhancements, and issues using JIRA . Mandatory Skills & Requirements (Must-Have) Strong hands-on experience with Tableau (mandatory), including: Dashboard development and publishing Calculated fields, filters, parameters, and LOD calculations Data blending and joins Row-Level Security (RLS) implementation Replacing and managing data sources Exp