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Senior Data Governance Jobs

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Explore current senior data governance jobs. Use filters to narrow by work mode, employment type, experience and date posted.

We are a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca , AutoSync , Dealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence. AutoTrader.ca is Canada’s largest automotive marketplace, with over 25 million monthly visits . As part of AutoScout24 group , Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond. As a Senior Analytics Engineer , you will be a senior technical contributor within the Analytics Engineering team and help shape the data foundations behind reporting, self-service analytics, and AI-driven decision-making. You will own complex technical workstreams, set direction for team-level analytical systems, and help improve the standards, practices, and architecture used across the team. What youʼll do Own complex analytics engineering workstreams from problem framing through delivery and adoption Design and evolve scalable analytical models, semantic layers, and reusable data products Set technical direction for team-owned models and analytical systems Resolve ambiguity and align stakeholders around clear, pragmatic technical decisions Improve modeling standards, documentation, testing, review practices, and quality gates Drive consistency in KPIs, metrics, and analytical logic Partner with Data Platform, Product Analytics, Engineering, and Data Governance teams Improve the performance, reliability, and cost efficiency of AWS-based analytical workloads Contribute to AI-driven capabilities such as text-to-SQL, semantic modeling for AI, automated insights, and conversational analytics Guide complex refactoring, migrations, and technical debt reduction Review analytical solutions for correctness, maintainability, privacy, security, performance, and business

pythonsqlaws
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Okta
📍 San Francisco• Full-time• $264K – $363K/yr
2mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Position Overview: We are seeking a visionary Senior Director, Governance, Risk and Compliance (GRC) to lead and scale our world-class GRC Security organization. We don't view Governance, Risk, and Compliance (GRC) as a passive reporting function or an administrative checklist—we build engineering-forward, automated, and AI-driven GRC programs capable of operating in an evolving AI world. Reporting directly to Security Executive leadership, you will operate as a partner to the Senior Executives across Okta’s workforce, taking direct responsibility for cyber risk, data governance, security compliance and product certifications to enable Okta to ship world class, secure products. You will blend deep domain expertise across enterprise cyber risk, audit, and global compliance with a forward-thinking engineering mindset—pioneering continuous control monitoring, compliance-as-code, and robust AI governance for generative and agentic architectures. This is not just a leadership role. This is a builder’s role. Key Responsibilities: Drive AI-first Transformation: Execute a vision to integrate AI and agentic tools into daily GRC operations (automated evidence collection, automated risk scoring, intelligent policy mapping, and continuous audit readiness). Enterprise Risk & Governance: Operationalize Okta’s AI risk and governance framework—addressing training data protection, model risk management, responsible AI principles, and alignment with emerging

machine learningartificial intelligenceai
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Reddit
📍 United States• Remote• $216.7K – $303.4K/yr
6 days ago

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior Software Engineer, ML Platform, you will work on our ML Data Team and be instrumental in architecting, implementing, and maintaining foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, Ads, and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. You will create ML data-governance tools that help MLEs discover and reason about signals, while contributing across the broader ML data platform—including prediction logging and training data systems. Lead the design, development, testing, and operation of ML signal-governance capabilities that help MLEs discover signals and understand their ownership, lineage, quality, and usage. Build tools that help teams assess signal importance and make informed lifecycle decisions. Partner with MLEs and cross-functional teams to define governance workflows and deliver reliable, intuitive ways to explore and act on signal metadata. Contribute across the ML Data Platform, including prediction logging and training data platforms, to design, develop, test, and operate batch and streaming pipelines processing petabyte-scale data. Drive complex projects end to end from technical planning an

REMOTEmachine learningartificial intelligenceai
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27 days ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Senior Systems Engineer Opportunity As a Senior Systems Engineer at Okta, you will be at the heart of how our global workforce communicates, collaborates, and creates. You won’t just be "keeping the lights on"; you will be responsible for architecting workflows, securing our ecosystem, and ensuring that our stack - from Google Workspace to Slack and Gemini - works seamlessly for every employee, everywhere. What You’ll Be Doing Infrastructure Management: Administer and optimize our core productivity suite, including Google Workspace, Gemini, Slack, Asana, Smartsheet, and other tools. AI Integration & Strategy: Lead the deployment, management, and troubleshooting of enterprise AI tools (specifically Gemini), ensuring they are integrated safely and effectively into daily workflows. Enablement: Create technical documentation and partner with cross-functional teams to drive adoption and best practices for productivity tools through effective training and support. Global Support: Act as a Tier 3 escalation point for complex technical issues, supporting a fast-paced, 24/7 global environment from one of our US hubs. Lifecycle Management: Responsible for the complete lifecycle management of multiple enterprise SaaS applications. Governance & Standards: Define and enforce global standards for tool usage, security permissions, and data governance. Problem Solving & Innovation: Consistently look for root-cause trends while solving platform problem

pythonmachine learningartificial intelligence
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We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your Opportunity: Are you driven by the challenge of turning complex operational processes into seamless, high-performing systems? New Relic is looking for a Senior Revenue Operations Manager to own the technical and automation engine behind our Go-To-Market (GTM) organization. As part of the GTM Planning & Process team, you will sit right at the intersection of business strategy, field execution, and cutting-edge technology. You will serve as a strategic partner across our revenue organization, eliminating operational friction, scaling systems, and building solutions that directly impact our growth trajectory. What You'll Do: GTM Strategy & Automation: Drive the GTM technology roadmap (including Salesforce, Clay, and Salesloft). You will pilot emerging AI capabilities and transform manual steps into efficient, automated workflows. Technical Execution & Quality: Partner with cross-functional stakeholders to gather requirements and translate business needs into clear user stories, technical specs, and UAT testing plans. Data Governance & Analytics: Define key system-level performance metrics, build automated dashboards, and collaborate with Data & Analytics to maintain a trusted source of truth. Enablement & Change Management: Guide field adoption of new system features by creating clear documentation, leading enablement sessions, and executing change management strategies. Cross-Functional Alignment: Work closely with Marketing, Sales Operations,

sqlawsai
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We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your Opportunity: Are you driven by the challenge of turning complex operational processes into seamless, high-performing systems? New Relic is looking for a Senior Revenue Operations Manager to own the technical and automation engine behind our Go-To-Market (GTM) organization. As part of the GTM Planning & Process team, you will sit right at the intersection of business strategy, field execution, and cutting-edge technology. You will serve as a strategic partner across our revenue organization, eliminating operational friction, scaling systems, and building solutions that directly impact our growth trajectory. What You'll Do: GTM Strategy & Automation: Drive the GTM technology roadmap (including Salesforce, Clay, and Salesloft). You will pilot emerging AI capabilities and transform manual steps into efficient, automated workflows. Technical Execution & Quality: Partner with cross-functional stakeholders to gather requirements and translate business needs into clear user stories, technical specs, and UAT testing plans. Data Governance & Analytics: Define key system-level performance metrics, build automated dashboards, and collaborate with Data & Analytics to maintain a trusted source of truth. Enablement & Change Management: Guide field adoption of new system features by creating clear documentation, leading enablement sessions, and executing change management strategies. Cross-Functional Alignment: Work closely with Marketing, Sales Operations,

sqlawsai
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Block
📍 United States of America, United States• $180K – $270K/yr
1mo ago

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

pythonawsai
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Capco
📍 Toronto• C$118K – C$152K/yr
1mo ago

The Role Capco is looking for an experienced Data Architect with deep expertise across data flows, data integration, data sources, and enterprise data architecture. You’ll work with clients to understand how data moves across complex technology landscapes and design robust, scalable architectures that connect systems, platforms, and data sources effectively. This is a hands-on architecture role for someone who understands data end to end – from source and ingestion through integration, transformation, storage, governance, and consumption. You’ll collaborate with technology, data, business, and engineering teams to turn complex requirements into practical data architectures that support both immediate delivery and long-term strategic goals. What You’ll Do Design end-to-end data architectures covering data sources, flows, integration patterns, storage, transformation, and consumption. Map and assess complex data landscapes, identifying dependencies, integration points, data movement, and opportunities for improvement. Define scalable data integration approaches across platforms, applications, APIs, databases, cloud services, and third-party data sources. Partner with engineering, architecture, business, and data teams to translate requirements into clear and practical architecture designs. Provide architectural guidance throughout delivery, ensuring solutions remain aligned with data standards, governance, security, quality, and broader technology strategy. What We’re Looking For Strong experience as a Data Architect or in a senior data architecture role within complex enterprise environments. Deep understanding of data flows, data integration, data modelling, data sources, data platforms, and the full data lifecycle. Experience designing architectures that bring together multiple systems, applications, databases, APIs, and internal and external data sources. Strong understanding of modern data architecture principles, including cloud-based data platforms, data govern

artificial intelligenceairecruitment
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2mo ago

About the Team OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation. About the Role As a member of our AI Product Counsel team, you will advise the teams building and deploying OpenAI’s business products, including ChatGPT Business, ChatGPT Enterprise, and our API platform. You will partner closely with Product, Engineering, Safety, Security, Privacy, Strategy, Go-to-Market, and other Legal teams on issues spanning enterprise product development, model launches, customer data protections, administrative controls, strategic partnerships, and the responsible deployment of increasingly capable AI models. This is a unique opportunity to help shape how frontier AI products are built and delivered to businesses. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Serve as a strategic legal partner to teams developing ChatGPT’s business products, enterprise features, and API offerings. Advise on product design and launches involving enterprise administration, data governance, identity and access, connectors and integrations, agentic capabilities, and voice and multimodal experiences in the B2B space. Counsel teams on deploying frontier AI capabilities responsibly while balancing customer commitments, safety, security, and privacy. Support strategic partnerships and distribution arrangements, including cloud platforms, resellers, and other third-party channels through which customers access OpenAI models. Partner with Commercial Legal, Privacy, Security, Safety, Product and Product Policy, and Go-to-Market teams on custom

awsrestai
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2mo ago

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Job Description/ Responsibilities: Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production. Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow. Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data Technology Eva

pythonsqlaws
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Cohere
📍 San Francisco• Full-time• Remote• $130K – $180K/yr
2mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role Cohere is seeking an Indirect Tax Sr. Associate / Tax Manager to manage global indirect tax compliance, strategy, and reporting, focusing on VAT/GST and sales tax in Canada, the U.S., and other key markets. You’ll manage tax audits, optimize processes, collaborate cross-functionally, drive process and efficiency initiatives, and implement strategies to minimize liabilities while ensuring compliance. Key Responsibilities Manage end-to-end indirect tax compliance, including filings, registrations, and remittances for global VAT/GST, and US sales and use tax Streamline tax workflows, leverage tax automation tools and AI, and enhance data governance to improve efficiency Develop and implement indirect tax strategies aligned with Cohere’s business growth, product offerings (e.g., SaaS, AI services, Sovereign AI), and international expansion. Manage responses to tax audits and inquiries from authorities. Identify and mitigate tax risks, ensuring alignment with global tax regulations and internal policies Address digital services taxes and electronic services implications. Partner with Finance, Legal, and Product teams t

REMOTEaiaccountingfinance
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For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective. You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office. You Will: Model and Pipeline Automation Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices. Build, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models. Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models. Governance & Compliance Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards. Performance Monitoring Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation. Incorporate user feedback for iterative improvements and manage necessary model retraining cycles. Cross-Functional Collaboration Act as the "glue" between Data Scientists (who build models

pythonawsazure
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Roblox
📍 San Mateo• Full-time• From $216.7K/yr
3mo ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Privacy Software Engineer on the Privacy Infrastructure team, you will design and build the foundational platforms, services, and controls that enable Roblox to protect user data and meet global privacy obligations at scale. You will develop privacy-by-design solutions that support data governance, user privacy rights, data discovery, retention, auditing, and regulatory compliance across a rapidly growing ecosystem of products and services. This role sits at the intersection of distributed systems, data platforms, security, and privacy engineering. You will partner closely with engineers, product teams, security, legal, and policy stakeholders to build scalable privacy infrastructure that is deeply integrated into Roblox's development workflows. Your work will directly influence how we responsibly manage data for millions of users while enabling innovation across the platform. You Will Design and build scalable privacy infrastructure that enables Roblox to discover, govern, protect, and manage personal data at scale. Develop backend services, APIs, and data pipelines that embed privacy controls into engineering workflows and enable fulfillment of user privacy rights at global sc

pythonawsgit
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Build strategies. Shape change. Lead enterprise data transformation. The Role We are seeking a visionary Data Strategy & Advisory Leader at Managing Principal level to shape the future of data in financial services. You will lead the design, delivery, and scaling of enterprise-wide data strategies for tier-one banks, insurers, and investment firms — helping them unlock the value of their data and meet the demands of an ever-evolving regulatory and digital landscape. This is not just about advising — it’s about owning the transformation agenda : defining innovative propositions, leading complex consulting engagements, inspiring cross-disciplinary teams, and driving commercial growth. You’ll be at the forefront of modern data strategy, governance, analytics, and AI adoption, while mentoring the next generation of data leaders. What You’ll Do Design and operationalise enterprise data strategies that enable business transformation across banking, insurance, and investment sectors. Lead high-impact consulting engagements in data governance, literacy, quality, regulatory response, and analytics-driven decision-making. Shape new market propositions in data consulting, including the adoption of AI, advanced analytics, and cloud-based data platforms. Drive process modernisation — from business analysis to technical design, solution implementation, and long-term optimisation. Build trusted senior stakeholder relationships , influencing strategic decisions and securing follow-on mandates. Scale data capabilities across internal teams and client organisations, ensuring consistent, high-quality outcomes. Contribute to thought leadership , industry events, and internal innovation initiatives. What We’re Looking For 8+ years of senior-level consulting experience in financial services, with a strong data strategy and advisory focus. Proven expertise across the full data lifecycle , supported by frameworks such as DAMA DMBOK, DCAM, or CDMC. Deep understandin

pythonsqlai
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Who we are Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. Our 2000 employees operate in 26 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients. What you will be doing As a Senior Engineer in our India office, you will support and develop client data platforms, with a focus on metadata management and data governance using enterprise tools such as Informatica Intelligent Data Management Cloud (IDMC). Your role would include: Platform maintenance: Run and support IDMC day to day, including Secure Agent management, connectivity, access control (asset groups, roles, SSO/SCIM provisioning), and environment promotion. Metadata engineering: Configure and troubleshoot metadata scans across cloud data warehouses, databases, CRM platforms, APIs and reporting tools, and resolve scan and profiling failures at scale. Data quality and governance: Build and maintain data quality rules, scorecards, business glossaries and data classifications, and keep them consistent across sources. Lineage: Map end-to-end data flow across the enterprise, so that data pipelines are visible and trusted. Automation: Use IDMC REST APIs, Python and bulk import/export to automate glossary loads, catalog clean-up, and governance workflows. Qualifications & Experience Informatica Experience: Hands-on experience with Informatica IDMC in production (CDGC, Metadata Command Center or Data Quality), including platform administration, metadata

pythonsqlaws
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