Data Governance Specialist Jobs

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. A little bit about the role Over the past 18 months, The Dot Collective has successfully established a dedicated Data Architecture practice , laying the foundation for robust, scalable, and innovative data solutions. This practice underpins our commitment to delivering high-quality, data-driven outcomes for clients across diverse sectors. As we continue to grow, we are seeking a Data Solution Architect to play a pivotal role in shaping and implementing cloud native data and AI platforms that make a real impact. Your Key Skills and Capabilities Work with technical teams to clarify and refine architecture so as to maintain consistency during deliver Recognise ways to describe the structure and behaviour of applications used in a business, with a focus on how they interact with each other and with business users or actors Help the customer articulate their requirements and formulate a suitable solution architecture Proven experience of designing and building data platforms. A strong understanding of modelling data and how to make data work at scale A grasp of modern data governance is also appreciated Have an understanding of Microservices and Serverless architectures. Be able to describe the structure and behaviour of the technology platform that underpins user applications and understand on-premise, Cloud hosting and end-user compute Knowledge of open source, open standards and cloud technologies An understanding of architectural concepts, methodologies and approa

Présentation du poste : Nous recherchons un(e) Senior Data Consultant(e) pour accompagner la transformation Data & IA de nos clients C-Level (COMEX, marketing, digital, supply-chain, opérations, customer support, IT...). Le/la consultant(e) pilote avec une large autonomie des projets complets de bout en bout, supervisé(e) par un n+1 (manager, directeur, partner), et encadre les consultants plus juniors. Missions : Piloter un ou plusieurs streams : garantir le delivery, identifier les points de blocage, proposer des solutions, assurer la gestion de projet (documentation, planning, comptes-rendus) Encadrer et donner des feedbacks constructifs aux membres juniors de l'équipe Produire de manière autonome les livrables de mission : présentations, benchmarks, études de cas, workshop decks, sections steerco Rédiger des storylines et concevoir des slides percutantes Animer les interviews et workshops clients Construire une relation de confiance avec les clients et identifier des opportunités business Contribuer au développement d'Artefact : développement d'une offre, d'une industrie, d'un chapter ou d'un partenariat école ; participation au recrutement et à la formation des nouveaux arrivants Soutenir et développer une ou plusieurs expertises internes (stratégie, data governance, data marketing...) via la construction d'offres, la formation, ou des actions marketing Profil recherché : 2 à 3 ans d'expérience professionnelle en cabinet de conseil Double profil "business" et "data" : curieux(se), passionné(e) par la data et les évolutions technologiques Esprit analytique, goût pour la résolution de problèmes Expérience en gestion de clients et identification d'opportunités commerciales Maîtrise de la Suite Google/Pack Office et des outils de workshop ; excellente communication en français et en anglais (écrit/oral) Pourquoi nous rejoindre : Localisation en plein cœur de Paris (9ème arrondissement) Environnement pluridisciplinair

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, fueled by incredible technology and amazing people. Today, we're using the power of AI to define the next era of computing, with our GPU acting as the brains of computers, robots, and self-driving cars. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. NVIDIA is hiring a Staff Engineer to build the company's Enterprise Data Governance platform. This platform spans sensitive-information protection, governed data access across every collaboration and content system at NVIDIA, and the knowledge infrastructure that makes our enterprise AI trustworthy and accurate. What makes this role genuinely hard is the tension at its core: AI agents need broad, deep access to enterprise knowledge to be useful, while export controls, legal constraints, and security policy demand precise, auditable access control. Getting both right, across dozens of systems and one of the most complex enterprise environments in the industry, is the problem this team is solving. We are looking for technically strong engineers across the senior to principal level who thrive on hard infrastructure problems and want to own work that is central to how NVIDIA operates at scale. What You Will Be Doing: Sensitive Information Protection Own the roadmap for sensitive-information detection and remediation, working with Finance, Legal, and Security to define classification models, remediation workflows, and reporting that leadership can trust. Evaluate and integrate ML-based classification approaches to detect sensitive content across unstructured data at scale, and iterate on precision and recall as the data landscape evolves. Governed Dat

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities include, but not limited to: Partner with product owners and business groups across business units and sales. Understand their needs clearly. Turn business problems into scalable, data-driven DS, ML, AI, and GenAI solutions. Implement these solutions in Python and cloud environments. Design, develop, and implement predictive and forecasting models, machine learning models, statistical analysis, and data mining techniques to address business challenges. Design, develop, and deploy optimization and simulation models (e.g., mathematical programming, stochastic simulation, scenario analysis, and what‑if modeling) to evaluate trade‑offs, optimize business decisions, and improve operational and financial outcomes across complex, multi‑constraint problem spaces. Analyze large and complex datasets, identifying trends, patterns, and anomalies to extract valuable and actionable insights. Build and deploy data visualization dashboards and reports to effectively communicate insights to business leaders across different levels. Research and explore new data science techniques, including generative AI and large language models, to enhance business processes and decision-making. Contribute to data governance and infrastructure: Help maintain and improve our data infrastructure, ensuring data quality and integrity. Minimum Qualifications: 2+ years of experience as a Data Scientist, with expertise in using advanced analytics, machine learning, and statisti

Manager – Finance Controls & Governance Role Purpose To strengthen the Finance control environment by ensuring adherence to approved SOPs, monitoring financial and system controls, overseeing reconciliations, and driving timely resolution of exceptions. The role acts as the first line of defense within Finance to ensure financial processes are accurate, compliant, well-governed, and audit-ready. Key Responsibilities 1. Financial Controls & Governance Ensure adherence to approved Finance SOPs, policies, and internal control frameworks. Monitor key financial processes and identify control gaps and improvement opportunities. Conduct periodic control reviews and ensure timely implementation of corrective actions. Drive process standardization, automation, and continuous improvement initiatives. 2. Reconciliations & Exception Management Oversee critical reconciliations, including bank, GL, settlement, and suspense accounts. Monitor ageing of unreconciled items and ensure timely closure of exceptions. Investigate recurring reconciliation breaks and recommend preventive controls. Publish periodic dashboards on reconciliation status and control exceptions. 3. SAP & Financial Systems Controls Monitor SAP financial controls, master data governance, and accounting configurations. Review user access, Segregation of Duties (SoD), and maker-checker controls in coordination with IT. Monitor system interfaces, exception reports, manual journal entries, reversals, and suspense accounts. Participate in UAT for ERP enhancements and ensure financial controls remain effective. 4. Audit, Compliance & Risk Perform periodic control testing and compliance reviews. Track closure of Internal Audit, Statutory Audit, and Regulatory observations. Support audits by providing control documentation, system evidence, and audit trails. Escalate significant control breaches and operational risks to management. 5. MIS & Stakeholder Management Prepare Finance Control MIS and management dashboards. Coo

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As our Security Operations Data Loss Prevention (DLP) Engineer, you will own and elevate Everpure’s enterprise data protection strategy across every digital and physical vector. In this high-impact individual contributor role, you will establish data governance standards and architect practical controls that safeguard customer information, source code, intellectual property, and other sensitive assets without hindering business velocity. You will partner with Engineering, Legal, Privacy, DevSecOps, and GISO leadership to define how sensitive data is discovered, classified, monitored, and protected across the enterprise. WHAT YOU'LL DO Architect Enterprise DLP Strategy: Own and mature the multi-channel DLP program end to end across endpoint, network, SaaS, application, cloud, and generative AI environments. Define program metrics, track outcomes, evaluate build-versus-buy decisions, and report data-protection posture to GISO leadership. Establish Data Standards & Governance: Author data-classification frameworks, handling requirements, and exception processes. Maintain a sensitive-data map with data owners so the organization understands where regulated and proprietary data lives, how it is classified, and who is accountable for it. Protect Endpoints & Physical Channels: Design and operate controls across macOS, Windows, and Linux, including removable media, printing, clipboard, screen capture, and local cl

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are seeking an experienced MDM Product Data Analyst to support the management, quality, governance, and transformation of product master data across enterprise systems. The role will work closely with Product, Business, Engineering, Data Governance, and technical teams to analyze complex product data, define and validate data quality rules, support MDM onboarding and migration, and drive resolution of data issues. The ideal candidate combines strong product data and MDM expertise with advanced SQL, analytical problem-solving, and practical use of AI/GenAI to improve data analysis and delivery. WHAT YOU'LL DO • Analyze, manage, and reconcile product master data across multiple source systems, MDM platforms, and downstream applications. • Leverage AI/GenAI tools to accelerate data profiling, analysis, data quality rule development, documentation, issue investigation, and root-cause analysis. • Translate business and product requirements into clear data requirements, attribute definitions, validation rules, and analytical specifications. • Perform detailed data profiling to identify quality issues, gaps, inconsistencies, anomalies, duplicates, and data integrity risks across product attributes and relationships. • Define, document, implement, and validate data quality rules covering completeness, accuracy, validity, consistency, uniqueness, and business-rule compliance. • Develop source-to-target analysis and reco

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. This role is in-person in the Bangalore office. No remote work is possible. THE ROLE We are seeking an experienced MDM Product Data Analyst to support the management, quality, governance, and transformation of product master data across enterprise systems. The role will work closely with Product, Business, Engineering, Data Governance, and technical teams to analyze complex product data, define and validate data quality rules, support MDM onboarding and migration, and drive resolution of data issues. The ideal candidate combines strong product data and MDM expertise with advanced SQL, analytical problem-solving, and practical use of AI/GenAI to improve data analysis and delivery. WHAT YOU'LL DO • Analyze, manage, and reconcile product master data across multiple source systems, MDM platforms, and downstream applications. • Leverage AI/GenAI tools to accelerate data profiling, analysis, data quality rule development, documentation, issue investigation, and root-cause analysis. • Translate business and product requirements into clear data requirements, attribute definitions, validation rules, and analytical specifications. • Perform detailed data profiling to identify quality issues, gaps, inconsistencies, anomalies, duplicates, and data integrity risks across product attributes and relationships. • Define, document, implement, and validate data quality rules covering completeness, accuracy, validity, consistency, uniqueness

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. The Senior Structured Data Access Control Process Analyst will play an important role in supporting Micron's Structured Data Access Control (sDAC) program and related data governance initiatives. This role analyzes business processes, identifies opportunities for automation and efficiency, develops reporting and dashboard solutions, supports operational workloads, and contributes to projects that strengthen secure and compliant access to enterprise structured data. The successful candidate will combine strong analytical thinking with process improvement, stakeholder engagement, reporting, and project execution skills. Working closely with technical and business teams, they will transform complex governance processes into actionable insights and help drive continuous improvements across access management and governance workflows. This position supports both day-to-day operations and strategic initiatives, helping advance governance modernization, workflow automation, and user experience improvements across the organization. Responsibilities Develop and maintain a deep understanding of Structured Data Access Control (SDAC) process and related governance workflows along with the knowledge of Role Based Access Control (RBAC) and data security management for integration. Define, document and improve business processes, requirements, workflows, operating procedures, governance standards, user guidance, training material and communications. Identify opportunities f

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 Designs, builds, and maintains large-scale data infrastructure and data processing systems. Implements robust and scalable solutions to support data-driven applications, analytics, and business intelligence. What you will do Ensures seamless integration of data from different sources, such as databases, application programming interfaces (APIs), or streaming platforms. Optimizes data processing and query performance by fine-tuning data pipelines, database configurations, and data partitioning strategies. Establishes data quality checks and validations to identify and resolve data issues, ensuring high-quality and reliable data for downstream applications and analytics. Implements security measures to protect sensitive data throughout the data lifecycle by working closely with security teams to ensure data encryption, access controls, and compliance with data protection regulations. Collaborates with cross-functional teams, including data scientists, analysts, software engineers, and business stakeholders. Designs and develops data infrastructure, including data warehouses, data lakes, and data pipelines. Establishes auditing and monitoring mechanisms to track data access and maintain data governance standards. Establishes monitoring and alerting mechanisms

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Principal PM AI Governance - Runtime Governance About OneTrust OneTrust helps organizations operationalize trust through privacy, security, data governance, and responsible technology adoption. As AI governance becomes a board-level and regulatory priority, customers increasingly need structured ways to understand AI systems, assess risk, monitor behavior, and demonstrate compliance over time. The Challenge We are looking for a Principal PM to help shape the future of our AI Governance product with a specific focus on observability and enforcement across AI systems. This role is for a product manager who can connect strategy, execution, and technical depth to help us build the right platform capabilities for the next generation of governed AI. You will help run squad activities and drive clarity across product, engineering, design, and go-to-market stakeholders to ensure we are building capabilities that are durable, differentiated, and ready for where AI governance is heading next. The ideal candidate brings a strong product mindset along with a background in cybersecurity, SIEM and

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us. The Role We're hiring an experienced software engineer to build and own the data platform that helps teams across the company work with trusted data at scale. This role shapes the foundations for data warehousing, orchestration, business intelligence, governance, and Block's agentic workflows. You'll combine strong software engineering with hands-on experience working closely with data, building platforms that make it safer and faster for data practitioners to discover, produce, transform, govern, and use data. You Will Design, build, and operate core data-platform capabilities, including data warehousing, orchestration, business intelligence tooling, and data governance. Build reliable Python services and developer-facing tools that improve how teams create and operate data products. Develop scalable infrastructure as code with Terraform. Establish patterns that let teams manage petabyte-scale data while maintaining strong governance, security, reliability, and usability. Partner with data engineers, analysts, scientists, and product teams to turn their needs into durable platform capabilities. Evaluate and build agentic workflows that make data work more effective, while maintaining appropriate controls and observability. Set technical direction, raise engineering standards, and mentor other engineers. You Have Senior-lev

Manager – Finance Controls & Governance Location: Mumbai, India Experience: 5–10 Years Qualification: CA / CMA / MBA (Finance) About the Role We are looking for an experienced Finance professional to join our team as Manager – Finance Controls & Governance. This role is responsible for strengthening the Finance control environment by ensuring adherence to internal policies, monitoring financial and system controls, overseeing critical reconciliations, and driving governance across finance processes. The ideal candidate will have strong expertise in financial controls, ERP governance, reconciliations, audit management, and process improvement, with the ability to collaborate across Finance, Technology, Compliance, and Operations teams. Key Responsibilities- 1. Financial Controls & Governance Ensure adherence to approved Finance SOPs, policies, and internal control frameworks. Monitor key financial processes to identify control gaps, risks, and improvement opportunities. Conduct periodic control reviews and ensure timely implementation of corrective actions. Drive process standardization, automation, and continuous improvement initiatives. Strengthen governance practices to ensure finance processes remain compliant, efficient, and audit-ready. 2. Reconciliations & Exception Management Oversee critical reconciliations, including: Bank Reconciliations General Ledger (GL) Reconciliations Settlement Accounts Suspense Accounts Monitor ageing of unreconciled items and ensure timely resolution of exceptions. Investigate recurring reconciliation issues and implement preventive controls. Prepare and publish periodic dashboards on reconciliation status, ageing, and control exceptions. 3. SAP & Financial Systems Controls Monitor SAP financial controls, master data governance, and accounting configurations. Review user access, Segregation of Duties (SoD), and maker-checker controls in collaboration with Technology teams. Monitor system interfaces, manual journal entries,

Senior Data Engineer – AWS Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer future-ready data platforms that power financial transformation. The Role We’re looking for a Senior Data Engineer with AWS to join our growing team of engineering experts driving next -generation transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud-based data pipelines. Working across greenfield projects and enterprise-scale platforms, your work will directly impact how data is ingested, transformed, and served at scale across the financial services industry. You'll also embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices. What You’ll Do Design and build end-to-end data pipelines leveraging AWS -native services and modern data architectures. Collaborate with clients to gather requirements, define technical solutions, and deliver production-grade systems that meet business needs. Apply AWS Well-Architected Principles, CI/CD practices, and AI-enabled engineering approaches to deliver scalable, secure, resilient, and high-quality solutions. Develop robust, tested, and fault-tolerant data engineering solutions while promoting engineering best practices and data governance. Mentor junior engineers, contribute to knowledge sharing, and encourage the responsible use of approved AI tools and automation to improve collaboration and delivery. What We’re Looking For Strong proficiency in Python , Scala , or Java with hands-on experience in Big Data technologies including Spark , Hadoop , or similar distributed processing frameworks. Practical experience building real-time event streaming pipelines using technologies such as Kafka , Spark Streaming, or Amazon Kinesis within AWS en

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. About our Team: Micron’s AI Automation and Data Engineering team drives enterprise data strategy and innovation by delivering scalable data platforms that power advanced analytics, artificial intelligence, and business automation. The team partners across engineering, operations, and business functions to modernize data ecosystems and enable data-driven decision making. Position Overview: Micron is seeking a Senior AI Automation Data Engineer to design, build, and scale modern enterprise data platforms that support AI, automation, analytics, and digital transformation initiatives. This role will focus on cloud-based data solutions, enterprise data modernization, and the development of secure, governed, and AI-ready data products! Responsibilities: Design, develop, and maintain scalable data pipelines and integration frameworks for structured and unstructured data. Build and optimize cloud-based data solutions using Snowflake and AWS and/or GCP technologies. Lead modernization efforts by migrating legacy data platforms and implementing ETL/ELT architectures. Develop AI-ready datasets and data products that enable analytics, machine learning, generative AI, and automation initiatives. Establish data governance, security, monitoring, and CI/CD standard processes to ensure reliable and compliant data platforms. Minimum Qualifications: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technica