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Data Governance Senior Jobs

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

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall : We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. As the BDR Team Leader for FIME , your mission is to build and develop a high-performing outbound Business Development team responsible for generating qualified pipeline across SMB, Mid-Market, and Enterprise segments, with a focus on the French, Italian, and Middle Eastern markets. You will combine strong people leadership, rigorous sales coaching, and operational discipline to improve both the quantity and quality of pipeline generated by the team. You will work closely with Account Executives, Marke

artificial intelligenceaisalesforce
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Anyscale
📍 Bengaluru• Full-time• $100K – $100K/yr
13 days ago

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale's product security needs are growing as we ship to larger and more demanding customers. We're looking for a Senior Product Security Engineer to own our secure software development lifecycle and to be engineering's partner on building security into the product. Reporting to the Head of Security, you will work in close partnership with engineering. This is a senior, high-ownership role. You will own and operate a scalable SSDL, partner with engineering on security features and secure design, review the security of existing systems and new initiatives, and own how we find, track, drive to resolution and report on vulnerabilities in what we ship. This role is based in India. In your first year, success looks like an SSDL that scales with engineering rather than gating it, security review embedded in how new initiatives ship, and accurate, on-demand vulnerability reporting backed by a working path to resolution. What You'll Do Own and operate a scalable secure software development lifecycle: threat modeling, security requirements, secure design practices, and scanning that engineering can readily adopt. Partner with engineering on security features and secure-by-design architecture, from early design through i

azuremachine learningai
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Anyscale
📍 Bengaluru• Full-time• $50K – $50K/yr
13 days ago

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale's need to detect and respond to security events across its production and corporate environments is growing as the company scales. We're looking for a Senior Detection and Response Engineer to own detection engineering and to lead incident response when it counts, coordinating the response and driving it to resolution. This is a high-ownership role with real room to shape how detection and response works at Anyscale. You will own the detection pipeline, the response runbooks, and incident response, reporting to the Head of Security and partnering with engineering. This role is based in India. In your first year, success looks like strong detection coverage across our cloud, endpoint, and runtime telemetry, a working correlation and alerting pipeline, and incident response runbooks that have been exercised in practice. What You'll Do Own and build detection coverage across cloud, endpoint, and runtime telemetry. Own a centralized correlation and alerting capability that turns telemetry into actionable detections. Own incident response: runbooks, escalation paths, and coordination during an incident, across corporate and production environments. Drive detection of anomalous activity across the environments

awsazurekubernetes
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Datadog
📍 New York• $94K – $125K/yr
13 days ago

About the Role We are seeking a Manager, Accounts Payable to lead Accounts Payable and Expense operations. This role will manage individual contributors and may oversee team leads while ensuring invoices, payments, reconciliations, tax reporting, and employee expenses are processed accurately and on time. The Manager, Accounts Payable will own team performance and execution while driving process improvements, automation, and reporting. You will work across Procurement, Accounting, Treasury, Tax, Finance, and other teams to resolve complex issues, strengthen controls, and improve the procure-to-pay experience. The ideal candidate is a reliable people leader who uses business context and data to make decisions, advises stakeholders, and delivers measurable operational improvements. What You’ll Do Lead, coach, and develop AP and Expense team members. Manage team performance, staffing, workload allocation, and day-to-day execution. Build a high-performing team with clear expectations, strong accountability, and consistent results. Oversee invoice processing, purchase order matching, coding, approvals, payments, vendor inquiries, and employee expense operations. Ensure AP and Expense activities are completed accurately, on time, and in accordance with company policies and controls. Own balance sheet reconciliations, AP close activities, accrual support, aging reviews, and related reporting. Lead annual 1099 reporting and support other AP-related tax and compliance requirements. Serve as the primary AP contact for internal and external audits, ensuring requested documentation is accurate and complete. Monitor unmatched invoices, open purchase orders, payment exceptions, duplicate payments, credits, and other outstanding items. Identify inefficiencies across AP and Expenses and lead process improvements that increase accuracy, efficiency, and scalability; Drive automation and AI initiatives related to invoice processing, matching, approvals, reconciliations, exception hand

aiTableauaccounting
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C(
13 days ago

The Position Cleo is looking for a Customer Success Associate that will work directly with existing customers and the CSM team to ensure a smooth onboarding, implementation, and renewal process. This intelligent, empathic, and high energy individual will hold responsibility within the CSM team who serve as the primary customer facing resource for all new and existing customers. Superb ability to interface with Customers, Sales, Services, Support, and Products Team is required. What You Will Be Doing Uphold Cleo’s Customer Success strategy and processes Adopt existing, and develop new, methodologies and best practices Own day-to-day interactions between Cleo and a subset of customers through 1:1 and 1:many tech touch communications Manage and facilitate cross-sell/upsell opportunities sourced within the broader Customer Experience organization. Analyze and report on customer usage data, adoption, and project status Oversee customer lifecycle processes/touch points and take clients on an optimal customer journey Drive the customer escalation process Develop ways for Customer Success to deeply understand our customers’ objectives Escalate issues appropriately to Services, Support, Product, etc. Keep accurate records, including documented customer service actions and discussions. Ensure that 100% of interactions are accurately recorded and follow ups scheduled Requirements 3-4 years working at an Enterprise Software and/or SaaS Company in a Customer Success, technical account management or a related field Strong written and verbal communications ability Proven ability to work in an environment with limited processes Experience with Open-Source solutions Experience working in a company selling applications, middleware, database, data warehouse, data integration technology or big/fast data technologies Experience with annual subscription offerings Cleo is an equal opportunity employer. All qualified applicants will receive consideration for employment withou

warehousecustomer service
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Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. Responsibilities Push search and agent quality forward through improvements to models, training data, tools, and system design. Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. Improve retrieval and ranking models and the search interfaces agents use to find and assess information. Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. Qualifications A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. Experience designing rigorous evaluations

REMOTEmachine learningai
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Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. Responsibilities Push search and agent quality forward through improvements to models, training data, tools, and system design. Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. Improve retrieval and ranking models and the search interfaces agents use to find and assess information. Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. Qualifications A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. Experience designing rigorous evaluations

REMOTEmachine learningai
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Datadog
📍 New York• $99K – $132K/yr
13 days ago

About Datadog: Datadog is the essential monitoring and security platform for cloud applications. We bring together end-to-end traces, metrics, and logs to make your applications, infrastructure, and third-party services entirely observable. These capabilities help businesses secure their systems, avoid downtime, and ensure customers are getting the best user experience. The Team: Datadog's Finance team collaborates with teams across the organization, providing commercial, operational and analytical support to ensure that Datadog's business continues to scale rapidly and efficiently. The Opportunity: Strategic Finance partners with the business to analyze key financial and operational drivers across the company in order to support the business’ growth and success. As an analyst supporting revenue, you will manage and refine key financial models and data, help create our annual financial targets, and work directly with operational leaders across multiple functions to support execution against our goals. Your work will be highly cross-functional and play a pivotal role in connecting the dots across the organization through a financial lens, ensuring operational alignment and informing decision making. What You’ll Do: Manage financial forecasts and analyses that may include revenue, ARR, customers, product, and cash flow - translating insights into recommendations for senior leaders Partner with senior business leaders across various departments, such as go-to-market (GTM) and Product to track performance and assess trends Work with finance management on quarterly Board materials, including coordination and consolidation across stakeholders Partner with the Accounting team for monthly / quarterly flux analysis and financial close items Assist in planning and budgeting cycles, ensuring consistency in tools, templates, and processes across the organization Become proficient with various financial planning and business intelligence (BI) tools, including but not

aiExcelTableau
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re at the forefront of the data revolution, building the world’s greatest data, applications and AI/ML platform. Our get it done culture empowers everyone at Snowflake to innovate, create work with lasting impact, and thrive in a collaborative environment. Snowflake EMEA product marketers conceive of and execute go-to-market plans that drive awareness, adoption and drive success for our customers. We are looking for a Product Marketing Manager to build messaging and positioning around Data and AI Sovereignty in EMEA, execute targeted go-to-market strategy for the Public Sector, scale our impact through Snowflake’s partner ecosystem, and maintain momentum behind key regional sovereignty partnerships. This is a highly cross-functional role, working closely with Account Teams, Field Marketing, Technical Sales, ABM, Partner Marketing, Demand Generation, and Global Product Marketing to align strategy with execution. The successful candidate will thrive on GTM orchestration, partner co-marketing, field enablement, and navigating complex regulatory and public sector buying landscapes. This role is based out of Snowflake’s London office. What You’ll Do Own and align messaging and positioning for Data and AI Sovereignty in the EMEA region, ensuring Snowflake’s narrative addresses

aiprocurement
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Foundation Risk Partners , one of the fastest growing insurance brokerage and consulting firms in the US, is adding a Commercial Lines Account Manager to their Acentria team in Miami, FL. Job Summary: The Commercial Lines Account Manager leads the team closely in conjunction with the Producer in developing strategy for retention of renewals and new business acquisition. This position regularly exercises discretion and independent judgement on accounts including product and pricing determinations, affecting, interpreting and implementing various company policies. The Account Manager initiates renewal process including preparing submission and binding coverages. Essential Functions: Develops retention strategy and new business acquisition meetings with producer Gathers data from client: applications, loss runs, inspections etc to submit to market Works independently of Producers on placement of risk Attends marketing and carrier meetings Monitors and updates open items checklists/timelines Develops and maintains strong relationships with clients/carriers through the daily service of endorsements and general coverage questions Communicates with Producer and team regarding client Analyzes client data to determine client needs and identify potential exposures Answers underwriting questions and help negotiate pricing and products Ability to build good working relationships with Producers and team members to work as a part of a team Competencies & Qualifications: Strong organizational, multitasking, problem solving, detail oriented, verbal, written, and self-discipline skills Proficient in insurance agency management software (EPIC) and Microsoft products Education & Experience: Florida 2-20 P&C insurance license College degree or equivalent work experience 4-5 years agency experience Disclaimer: While this job description is intended to be an accurate reflection of the job requirements, management reserves the right to modif

Foundation Risk Partners , one of the fastest growing insurance brokerage and consulting firms in the US, is adding a Commercial Lines Account Manager to their Acentria team in Key West, FL. Job Summary: The Commercial Lines Account Manager leads the team closely in conjunction with the Producer in developing strategy for retention of renewals and new business acquisition. This position regularly exercises discretion and independent judgement on accounts including product and pricing determinations, affecting, interpreting and implementing various company policies. The Account Manager initiates renewal process including preparing submission and binding coverages. Essential Functions: Develops retention strategy and new business acquisition meetings with producer Gathers data from client: applications, loss runs, inspections etc to submit to market Works independently of Producers on placement of risk Attends marketing and carrier meetings Monitors and updates open items checklists/timelines Develops and maintains strong relationships with clients/carriers through the daily service of endorsements and general coverage questions Communicates with Producer and team regarding client Analyzes client data to determine client needs and identify potential exposures Answers underwriting questions and help negotiate pricing and products Ability to build good working relationships with Producers and team members to work as a part of a team Competencies & Qualifications: Strong organizational, multitasking, problem solving, detail oriented, verbal, written, and self-discipline skills Proficient in insurance agency management software (EPIC) and Microsoft products Education & Experience: Florida 2-20 P&C insurance license College degree or equivalent work experience 4-5 years agency experience Disclaimer: While this job description is intended to be an accurate reflection of the job requirements, management reserves the right to mo

Contexte : Offre de stage de recherche de master d’une durée de 4 à 6 mois, débutant en hiver 2026-2027. Ce document liste les possibles directions pour le stage, qui seront ajustées au fil du stage. Le stage aura lieu au sein du centre de recherche d’Artefact à Paris. L’objectif est d'étudier les réseaux de neurones dans un cadre où l’on souhaite garantir l'indépendance des prédictions vis-à-vis d'une variable sensible continue (telle que l'âge, le revenu, la couleur de peau, etc.). Présentation d’Artefact : Artefact est une société internationale de services autour de la data, spécialisée dans le conseil en transformation data, dont la mission est de transformer la donnée en délivrant des résultats tangibles sur l’ensemble de la chaîne de valeur des entreprises. L’approche unique d’Artefact, qui fait le pont entre la donnée et le business, permet à nos clients d’atteindre leurs objectifs business de façon dédiée et efficace. Nos 2500 employés allient leurs compétences pluridisciplinaires au profit de l’innovation business des entreprises. Nos technologies de pointe en Intelligence Artificielle, nos méthodes agiles garantissent le succès des projets IA de nos clients, de la conception au déploiement, jusqu’à la formation et l’accompagnement au changement. Sujet : Les réseaux de neurones sont aujourd'hui au cœur de nombreuses applications industrielles. Leur capacité à extraire des représentations riches à partir des données en fait des outils de choix, mais elle les rend aussi susceptibles d'encoder et d'amplifier des biais présents dans les données d'apprentissage, renforçant ainsi des discriminations chez les populations traitées par ces modèles [1]. Cet enjeu est un domaine de recherche dénommé fairness, et est particulièrement dynamique, avec la réglementation des modèles d’IA qui évolue, comme par exemple avec l’AI Act de l’Union Européenne. Pour mesurer et mitiger les biais discriminatoires dans les modèles, la littérature s'est majoritairement co

machine learningartificial intelligenceai
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Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Product team defines how millions of people experience Deliveroo, turning complex marketplace challenges into simple, high-impact solutions. Working at the intersection of data, design and engineering, we set direction, prioritise what matters most, and deliver outcomes that move the business forward. We’re looking for a Staff Product Designer to join our Retail team in London. This is a hybrid role. In this role, you’ll help us shape the strategic vision for retail delivery, building brand-new shopping experiences and unlocking emerging categories to scale our marketplace. What You’ll Be Doing You’ll be joining the Retail team. Retail is a fast-growing, greenfield area for us beyond core restaurant and grocery delivery, helping people get almost anything delivered locally. Here’s what your day-to-day might look like: Strategic Direction & Product Vision Lead strategic design sprints to establish the foundation and execution plan for our 2027 product vision, defining how distinct retail categories and shopping formats feel. Partner autonomously with Product, Engineering, and Business leaders as a trusted advisor to co-own the product roadmap and decide what we build and why. Craft & Quality Raise the design craft bar across the team by guiding team members, hosting critique sessions, and fostering a culture of high quality and detail. Spot and resolve platform-wide systems challenges—such as accessibility, performance, and UI consistency—at scale across the ecosystem. Culture & Leadership Drive studio-wide initiatives that sh

airecruitment
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Ramp
📍 San Fransisco• Full-time• Remote• $220K – $330K/yr
13 days ago

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 the Role Ramp is building a dedicated function to drive its partnerships across the AI ecosystem — labs, AI-native companies, and the investor community — and convert those into real technical and commercial outcomes. This is a newly created, high-visibility role that sits at the intersection of strategic business development, product partnership, and ecosystem relationship-building. Ramp is already embedded with key partners across the AI ecosystem, from working with leading labs on the latest models to serving as a design partner for emerging product capabilities. This role exists to deepen those relationships across every major lab and AI-native company, and turn them into something commercially meaningful. There is no playbook for this. This person will own and grow Ramp's most strategic relationships across the AI ecosystem, leading the technical side of those relationships end to end with partner product and engineering teams. The mandate spans product integrations, technical partnership strategy, deal-making, co-selling, and the creatio

REMOTEaifinance
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FEQ427R400 Mission As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. The impact you will have: Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: 7+ years of hands-on industry ML experience in at least one of the following: ML Engineer: Build and maintain production-gr

awsazuregcp
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