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Data Excellence Manager Jobs

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

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Zscaler
📍 Austria• Full-time• Remote• €82.3K – €117.5K/yr
2mo ago

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for an Account Executive to join our team. This is a hybrid role based in Austria, reporting to the Sales Director in the Enterprise sales department. The Zscaler Sales and Go-to-Market team is a global group of professionals who are passionate about delighting our customers and driving a secure, cloud-enabled digital future. In this role, you will take ownership of an assigned territory to demonstrate the power and agility of Zscaler cloud transformation and further cement our position as the world leader in cloud security. What you’ll do (Role Expectations) Take ownership of an assigned territory in Austria focused on net new logo and up-sell opportunities with Enterprise prospects and customers Demonstrate expertise in building business cases that clearly show value and differentiation at all levels of your customer and prospect organizations Generate pipeline using new techniques, tools, joint field

REMOTEai
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Celonis
📍 Illinois• $130K – $153K/yr
2mo ago

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: As a Senior Value Engineer - Manufacturing at Celonis, you will solve business-critical operational problems for strategic accounts across CPG, pharmaceutical, and process manufacturing. Working alongside top AI/ML partners like OpenAI, Microsoft, and Databricks, you will leverage the Celonis Process Intelligence (PI) platform to bridge IT/OT systems (ERP, MES, SCADA), feed business context to AI, and drive measurable ROI at scale. In this role, you will combine hands-on technical validation (SQL, Python, Prompt Engineering) with high-level strategy—redesigning processes via agentic automation, steering data architectures, and leading end-to-end client engagements from technical workshops to executive readouts. Key Responsibilities: Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales expansion cycles and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully met. Insights framing and value realization: Owns driving enterprise-wide ROI and adoption programs. Increasingly accelerates customer autonomy with improved cadences and executive sponsorship through QBRs,

pythonsqlaws
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P
2mo ago

A Career with Point72's Market Intelligence Team On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our sector data analysts, data scientists, data managers, and engineers work together to build compliant research products that are incorporated into the research process of our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. WHAT YOU'LL DO Act as a forward-deployed solution architect: partner with EMEA Pods and business groups to identify high-value AI use cases, understand research workflows, and shape practical solution designs. Use lightweight proof-of-concepts selectively to validate value before larger build decisions. Be the bridge between EMEA teams and the firm’s AI resources: turn messy team signal into concrete product and platform asks, surface existing firm capabilities before teams reinvent them, and help firm-wide teams understand regional priorities. Lead the enablement motion through teach-ins, prompt and tool literacy, and best-practice sharing, helping teams move beyond “AI is new and exciting” towards “AI is how we work.” Provide the light-touch technical support that unblocks a team—such as a quick integration or precise bug report—without owning or maintaining core production systems. Track adoption and impact with simple metrics, and feed what is working back to the teams building firm-wide capabilities. WHAT'S REQUIRED 3+ years of experience in a client-facing product, solution-engineering, or forward-deployed role. Early-stage or startup experience—working dire

pythonsqlai
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W
2mo ago

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: The Programme Supervisor leads and oversees the successful maintenance, and continuous optimisation of WPP’s Commercial Card programme administration processes. This pivotal role is responsible for ensuring accurate setup, compliant administration, effective cardholder support, and robust operational governance across regions and local entities, often through the supervision and development of a team of Programme Administrators. The Supervisor acts as the primary escalation point and strategic coordination lead between WPP Shared Services, local finance teams, cardholders, Onboarding, Service teams, and Programme Managers. This role combines strategic oversight, advanced operational execution, process development and enforcement, comprehensive user support, and sophisticated system administration. What you'll be doing: Key Responsibilities Lead and oversee the maintenance of cardholder accounts, corporate billing accounts, and programme hierarchies, ensuring data integrity and adherence to global policies. Manage and review the monitoring of centrally billed paymen

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Plaid
📍 New York• Full-time
2mo ago

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. The FinOps function is responsible for financial accountability, visibility, and optimization across all engineering-related spend at Plaid. This includes cloud infrastructure, AI/ML and data workloads, third-party SaaS tools, and other technical investments that support Plaid’s products and internal platforms. The team operates at the intersection of Engineering, Product, and Finance, ensuring that spending decisions are transparent, intentional, and aligned with product strategy and business priorities. Rather than functioning as a cost-control or approval layer, FinOps enables teams to understand, own, and optimize their spend while maintaining engineering velocity. Responsibilities Monitors and analyzes engineering spend across cloud, AI/ML, data platforms, and SaaS, identifying trends, anomalies, and optimization opportunities. Builds and maintains forecasts for engineering spend, partnering with Finance and engineering leaders to understand drivers, assumptions, and risks. Partners with engineering, product, and TPMs to incorporate cost considerations into roadmaps, architectural decisions, and execution plans. Leads cost optimization initiatives, such as rightsizing, commitment strategies, an

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AG
2mo ago

The Shift Engineer - Cluster - IPQA conducts in-process quality inspections during shifts, monitoring production processes and identifying quality deviations. This role records and analyzes quality data, assists in implementing corrective actions, provides training on in-process quality procedures, and supports continuous improvement initiatives to enhance process quality. Source: Adani Group | Job ID: 55745

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OpenAI
📍 San Francisco• Full-time
2mo ago

About the Team The OpenAI Audit Team is on a mission to build the future of internal audit from the ground up. Our ambition will be powered by a high-energy, technically exceptional team with the judgment, intellectual curiosity, and creativity to harness the latest advances in AI and design a truly next-generation audit function. As AI reshapes how work is performed across the enterprise, Internal Audit will use AI, automation, and data analytics to identify and assess the most significant and emerging risks across the business, including technology, cybersecurity, finance, compliance, operations, and data. We will build trusted partnerships at every level—from the Board of Directors and senior leadership to the teams delivering on OpenAI’s mission every day. We will operate as both an independent assurance provider and a trusted advisor, bringing an objective and pragmatic perspective to critical decisions. By engaging closely with management while preserving our independence, we will help the business innovate responsibly, move with confidence, and manage risk without creating unnecessary barriers. About the Role As the Cybersecurity & Technology Audit Leader, you will help shape the strategy, methodology, technology, and culture of a new audit function. You will lead complex audits and advisory reviews of cybersecurity, technology, data, and AI-related risks while advising leaders on practical ways to strengthen governance, resilience, and risk management. You are an experienced, hands-on professional who combines deep technical expertise with strong business judgment. You can quickly move between executive-level governance questions and detailed technical analysis, use data to identify and assess risk, and form clear, well-supported conclusions in fast-moving or ambiguous situations. You will have meaningful influence over how the function develops, including how we apply AI, automation, and analytics to audit planning, testing, monitoring, and reporting. T

awsrestai
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Celonis
📍 California• $156K – $183K/yr
2mo ago

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. Role Description As a Senior Value Engineer specializing in the Public Sector, you are pushing the envelope in solving critical operational challenges for State and Local Government agencies. You will be working with our most strategic public sector clients, understanding their unique objectives—from enhancing citizen services and modernizing legacy systems to optimizing grant management and regulatory compliance—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with top AI and ML technology partners, such as Microsoft, OpenAI, and Databricks. With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands the complex realities of government operations (breaking down agency silos) and enables agencies to industrialize AI. This unlocks real ROI on AI deployments, maximizing taxpayer value at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to government CIOs and Agency Directors, and ensure successful implementation, adoption, and value realization to increase the footprint of Celonis across state and local governments. Key Responsibilities: AI Discovery & Solutioning: Understand public secto

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E
2mo ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role Elastic, the Search AI company, is looking for a high-energy Enterprise Account Executive to drive net-new revenue and expansion within strategic Enterprise accounts. You’ll be the owner of a defined territory where you’ll build your own pipeline, tell the Elastic Search AI story, and close complex, multi-stakeholder deals in a consumption-based model. In this role, your focus areas will center on Federal Civilian agencies, specifically targeting the Social Security Administration (SSA) and Federal Financial Regulatory Agencies. This role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration—and is critical to our growth in the Enterprise segment. What You Will Be Doing Own your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates ≥50 % of your booked opportunities. Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals. Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic’s Search, Observability, and Security capabilities to measurable business outcomes. Mutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans a

Why Translucent Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions. Translucent is changing that. We're building the agentic AI platform designed exclusively for healthcare finance — giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows. Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we've already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we're just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place. About the role We're hiring a Forward Deployed Analytics Engineer to join our team in New York. You will sit at the intersection of our customers' financial and clinical data and the agentic AI systems we are building on top of it. Working within our managed data pipeline, you will reverse-engineer customer-specific business rules, build the transformations that map raw customer data into our unified ontology and semantic layer, and hold the bar for correctness on everything that flows through it. This is a high-ownership role. You will work directly with customers to understand their source-of-truth financial and clinical models, then translate that understanding into durable, well-tested data transformations. What you'll do Understand customer requirements, current processes, workflows and business logic. Identify the data required to stand up a customer workspace, and review customer source-of-truth financial and clinical data models — potentially on-site with custome

pythonsqlgcp
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SA
Scale AI
📍 New York• $233.6K – $292K/yr
2mo ago

Scale is hiring a Senior Product Designer / Founding Designer to lead product design for Scale’s rapidly growing ‘AI for Enterprise Data’ business unit. The mission of AI for Enterprise Data is to accelerate the deployment of AI by helping large enterprises solve their most ambitious challenges. This role will take on multiple products ranging from 0-1 initiatives to improving established products. This includes a suite of powerful AI tools for insurance AI, document processing, and more. Responsibilities Design end to end user flows, wireframes, high-fidelity mockups, and interactive prototypes for desktop web applications. Partner with Product Managers, Engineers, Data Scientists, and Operations team members to solve product and business challenges. Advocate for the voice of the user as the founding designer of the business unit. Prioritize and execute work in a fast paced environment with rapid timelines and high amounts of scope and ambiguity. Contribute to the evolution of our company-wide design system and interaction patterns. Take ownership to identify product gaps and rally support for proposed solutions. Qualifications Experience leading end-to-end B2B and enterprise web applications. Extremely high proficiency in Figma, fast execution speed is a must. Experience designing dashboards, data visualization, domain-specific editors, and forms. Understanding of front-end development processes for web interfaces. Strong communication and collaboration skills, including customer-facing meetings. Portfolio of product design projects that highlight your diversity of skills. Nice-to-haves Exposure to artificial intelligence, machine learning, and other technical concepts. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for

machine learningartificial intelligenceai
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LTS
📍 Minnesota, United States• Remote• $164K – $200K/yr
2mo ago

Location: United States – Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a Senior AI Platform and Harness Engineer to develop and maintain the infrastructure, tooling, and evaluation frameworks that power enterprise AI solutions. This role is responsible for building the AI platform and reusable "AI harnesses" that enable Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and Generative AI applications to be securely developed, tested, evaluated, monitored, and deployed at scale. The ideal candidate has experience with AI platforms, LLMOps, software engineering, cloud-native technologies, and backend systems, along with a passion for building reliable, observable, and production-ready AI solutions. You will work closely with AI architects, software engineers, data scientists, and product teams to ensure AI solutions are scalable, secure, cost-effective, and continuously improving. What You'll Do: Design, build, and maintain enterprise AI platform capabilities supporting Large Language Models (LLMs), AI agents, RAG, and Generative AI applications. Lead data preparation, training and fine-tuning of LLMs Develop reusable AI harnesses to automate testing, prompt evaluation, model benchmarking, regression testing, and quality assurance. Build AI evaluation frameworks to measure model accuracy, retrieval quality, hallucination detection, latency, throughput, cost, and overall application performance. Implement observability and monitoring solutions for AI applications, including telemetry, tracing, logging, dashboards, and operational metrics. Build and maintain LLMOps pipelines supporting model deployment, versioning, evaluation, experimentation, rollback, and continuous improvement. Design automated workflows for prompt testing, retrieval evaluation, AI system validation, and performance benchmarking. Develop internal tools for prompt management, model experimentation, AI performance optimization, and developer

REMOTEtypescriptpythonaws
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Elastic
📍 United States• $94.3K – $149.2K/yr
2mo ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We’re always on the search for amazing people. The IT Team consists of people who have real passion for what they do and are masters at their craft. We reflect the larger company philosophy, to solve data problems, but focus internally on the systems we build and the internal partners we support. Agile in our processes, we strive to push the boundaries of our best-of-breed platforms to build a world-class systems operation. Our team thinks smart, strategic and scalable, and will push you to do the same. As the Okta Identity Engineer, you will be part of a growing team to help support projects and serve as the subject matter expert, responsible for architecting, designing and implementing a variety of identity and access management solutions. *Candidates being considered for this role must currently reside in US Central Time* What You Will Be Doing Design, implement, and maintain Okta identity and access management solutions. Integrate Okta with various applications and systems to include cloud/SaaS to streamline authentication and authorization processes. Develop and configure Single Sign-On (SSO) and Multi-Factor Authentication (MFA) solutions using Okta. Design and develop automation with various applications and systems using Okta Workflows and/or approved AI-powered tools. Perform regular system audits and security assessment

aiterraform
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TW
The Weather Company
📍 Andover• $105K – $135K/yr
2mo ago

About The Weather Company: The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com). AI is part of how we work: Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company. Job brief: As a Full Stack Software Engineer at The Weather Company, you will join our commercial aviation engineering team and play a key role in building and evolving the products that dispatchers and pilots rely on every day to make critical, time-sensitive decisions. You will harness TWC's industry-leading weather and flight data to develop compelling, high-performance visualizations and the APIs and services that power them. Working across a diverse technology stack, from modern tools like React, Go, MongoDB, and AWS to established platforms in .NET/C# and SQL Server, you will have the opportunity to make a genuine impact on the safety and efficiency of commercial aviation worldwide. This is a hybrid role (3 days per week in office). Engineers on this team participate in a 24x7 on-call rotation following a

reactnode.jssql
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D
Databricks
📍 United States• $158K – $217.3K/yr
2mo ago

MKTQ327R37 As Senior Event Marketing Manager at Databricks, you will report to the Director of Corporate Events and collaborate with global teams. You will lead field initiatives and sales enablement for major events like the Data + AI Summit and World Tour. Your focus will be delivering premium field experiences, activating Sales colleagues, refining workflows, and strengthening cross-functional alignment to scale these programs and their business impact. Impact Statement Within the first one to two years, success in this role will look like: Flagship events such as Data + AI Summit and World Tour are consistently treated as strategic field growth engines, with clear motions that translate event engagement into high-quality opportunities and healthy pipeline for priority and strategic accounts. Clear targeting frameworks (including quotas, eligibility to attend, and strategic account selection) are defined with sales leadership, so the right customers, partners, and reps are prioritized for each program. Field teams have a simple, repeatable event playbook (pre-, during, and post-event) that is widely adopted, with strong participation in event campaigns and follow-up activities from sales, marketing, and partner teams. Attendee and customer experiences across field-focused programs are cohesive and premium from invitation through post-event follow-up, resulting in stronger relationships with strategic accounts, partners, and executive stakeholders. Event performance is transparently tracked through agreed-upon dashboards and reports built in partnership with analytics and operations, giving leaders clear visibility into attendance, engagement, and downstream revenue impact to inform future investment decisions. Lead flow from events into sales systems is reliable and timely, with well-structured campaigns, lead routing, and MQL definitions that enable BDR/SDR teams to act quickly and consistently on event leads. Incentive structures (such as SPIFFs and recognition

aiExcelproject management
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