Analytical Quality Assurance Director Jobs

Work Flexibility: Hybrid Principal Analyst, Business Intelligence Service Delivery: This role is responsible for leading development and support for the analytics solutions on SAP BW, Azure, Databricks, PBI and BPC. This individual is responsible for leading the business requirement gathering, design technical solutions, implementation, and optimization of solutions. This role combines technical expertise with business acumen to ensure efficient and effective IT solutions delivery for analytics operations and automation. This is an individual contributor role that requires the use of judgement in applying professional expertise and is expected to work independently with minimal supervision. This Job requires an understanding and application of procedures and concepts of own discipline, attention to detail in making evaluative judgements based on the analysis of information. This role requires engaging and supporting global teams and business primarily in the US, good overlap hours required during working What you will do: Design, build, test, and deliver scalable analytics and data solutions across SAP BW, Microsoft Azure, Databricks, Power BI, and BPC, ensuring reliability, security, maintainability, and performance. Lead end-to-end analytics development and application support, ensuring successful delivery of solutions aligned with business requirements, technical standards, and enterprise data strategy. Partner with business, IT, global process governance, and project teams to translate business requirements into robust technical solutions, considering security, scalability, stability, and long-term sustainability. <span style="color:#0

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Enterprise Sales Development Program: The Dun & Bradstreet Enterprise Sales Development Program is an onsite, rotational program designed to accelerate the development of early‑career sales talent over a 12–18-month period. Participants gain hands‑on experience through structured rotations across Sales and Post‑Sales functions, exposure to D&B systems, products, and sales motions, and real business responsibilities from day one. Throughout the program, graduates are supported through mentorship, targeted training, and ongoing performance feedback, while engaging with sales leaders and cross‑functional partners. The program is designed to build a strong internal pipeline, promote long‑term retention, and prepare participants for successful placement into permanent sales or customer‑facing roles at Dun & Bradstreet. Enterprise Sales Development: An early‑career role designed for recent college graduates who are interested in launching a career in sales, customer engagement, or commercial leadership. This structured program provides hands‑on experience, formal training, coaching, and exposure to real‑world sales environments. Participants will develop foundational skills in consultative selling, customer communication, business acumen, and sales technology while learning how our organization drives growth and delivers value to customers. Upon successful completion of the program, associates may be eligible for placement into a full‑time role within Sales, Sale

FEQ128R6 At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: Form successful relationships with clients throughout France, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. Develop customer relationships and build in

FEQ128R31 Solutions Engineer At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes AI and data analytics accessible to everyone in their own context. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders . We aim to build leaders who will drive both data and business strategy for our customers, leading the front lines of Databricks growth as well. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. Solutions engineers go further than telling them what's possible; they build working prototypes and advise customer teams on how to get to production. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it! This will be an in-office role and candidates must be based in Chicago, IL. Relocation assistance will not be provided. Recent graduate?: We’d love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates. More About Databricks YouTube The impact you will have: Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in AI and data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on mu

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Essential Key Responsibilities: Lead, coach, and develop a team of sales support specialists, setting clear priorities and service expectations and supporting individual and team performance. Ensure all contractual documentation is complete, accurate, and compliant with company policies and established commercial requirements. Support Sales teams with contract preparation, validation, processing, renewals, amendments, and related administration activities. Ensure timely execution of customer agreements to enable revenue recognition and service delivery. Partner with Finance, Legal, Operations, Revenue Operations, Pricing, and other stakeholders to resolve contract-related issues and prevent processing delays. Monitor service levels, contract turnaround times, renewal tracking, and backlog management, taking corrective action where performance falls below expectations. Provide regular reporting, operational insights, and recommendations to leadership teams on volumes, service performance, risks, and improvement opportunities. Document and improve contract administration workflows, identifying opportunities to streamline processes through intelligent automation and generative AI technologies. Essential Skills: At least 8 years’ relevant experience in contract administration, commercial administration, sales support, business operations, deal desk, quote-to-cash, or sales operations, including at

The Team + The Role Pendo’s Enterprise Sales team drives growth across the company’s largest and most strategic accounts. The team partners with senior business and technology leaders to position Pendo as a critical platform for product experience, data, analytics, and digital transformation. In DACH, this team plays a key role in expanding Pendo’s presence with major enterprise customers and prospects. As a Senior Account Executive, you will own new business across Pendo’s largest DACH accounts and DAX 40 prospect accounts. You will lead complex, multi-stakeholder sales cycles from first engagement through close, with a focus on $500K–$1M+ SaaS opportunities. This role requires a strategic enterprise seller who can build executive relationships, create disciplined account plans, and position Pendo’s AI-powered Data & Analytics solutions with clarity and urgency. This role is based in our Munich office. What this looks like day-to-day New logo acquisition: Win new enterprise logos across Germany within Pendo’s most strategic segment. You will identify, engage, and convert high-value opportunities across large DACH accounts and DAX 40 prospect accounts. Enterprise sales execution: Lead complex, multi-stakeholder sales cycles from first engagement through close. You will navigate matrixed organizations, align executive buyers, and keep deals moving with clear next steps and strong commercial discipline. Strategic deal leadership: Consistently drive $500K–$1M+ SaaS opportunities by building value-based business cases. You will position Pendo’s AI-powered Data & Analytics platform as a critical driver of digital transformation for enterprise customers. Executive relationship building: Build trusted relationships with C-level leaders and senior decision-makers. You will engage stakeholders with credibility, understand their priorities, and connect Pendo’s capabilities to strategic business outcomes. Account planning: Develop and execute clear, strategic account p

The Team + The Role Pendo’s Enterprise Sales team drives growth across the company’s largest and most strategic accounts. The team partners with senior business and technology leaders to position Pendo as a critical platform for product experience, data, analytics, and digital transformation. In DACH, this team plays a key role in expanding Pendo’s presence with major enterprise customers and prospects. As a Senior Account Executive, you will own new business across Pendo’s largest DACH accounts and DAX 40 prospect accounts. You will lead complex, multi-stakeholder sales cycles from first engagement through close, with a focus on $500K–$1M+ SaaS opportunities. This role requires a strategic enterprise seller who can build executive relationships, create disciplined account plans, and position Pendo’s AI-powered Data & Analytics solutions with clarity and urgency. This role is based in our Munich office. What this looks like day-to-day New logo acquisition: Win new enterprise logos across Germany within Pendo’s most strategic segment. You will identify, engage, and convert high-value opportunities across large DACH accounts and DAX 40 prospect accounts. Enterprise sales execution: Lead complex, multi-stakeholder sales cycles from first engagement through close. You will navigate matrixed organizations, align executive buyers, and keep deals moving with clear next steps and strong commercial discipline. Strategic deal leadership: Consistently drive $500K–$1M+ SaaS opportunities by building value-based business cases. You will position Pendo’s AI-powered Data & Analytics platform as a critical driver of digital transformation for enterprise customers. Executive relationship building: Build trusted relationships with C-level leaders and senior decision-makers. You will engage stakeholders with credibility, understand their priorities, and connect Pendo’s capabilities to strategic business outcomes. Account planning: Develop and execute clear, strategic account p

Job Title Associate Data Scientist Job Description Job Responsibilities: Someone who can design, build, and fine-tune Generative AI models (LLMs, vision-language models, diffusion models) for product use cases Hands on expertise in Large Language Models and prompt engineering RAG architectures, vector databases, embeddings Experiment tracking tools (MLflow, Weights & Biases) Traditional ML/DL techniques Work with structured and unstructured datasets (images, text) Collaborate with engineering teams to integrate AI models into production systems and embedded/edge environments Minimum required Education: Bachelor's / Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics, Data Science or equivalent. Minimum required Experience: Minimum 7 years of experience with Bachelor's OR Minimum 5 years of experience with Master's in areas such as Data Analytics, Data Modeling or equivalent. Preferred Skills: • Data Science • Data Analysis & Interpretation • Data Designing • Python • GenAI frameworks(LangChain, LangGraph) • Vector Databases • Machine Learning Engineering Fundamentals • Statistical Methods • Statistical Programming Software • Research & Analysis • Structured Query Language (SQL) • Regulatory Compliance How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’

FEQ427R443 Solutions Engineer At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes AI and data analytics accessible to everyone in their own context. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders . We aim to build leaders who will drive both data and business strategy for our customers, leading the front lines of Databricks growth as well. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. Solutions engineers go further than telling them what's possible, they build working prototypes and advise customer teams on how to get to production. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it! This will be an in-office role and candidates must be based in our New York City (Midtown location). Relocation assistance will not be provided. Recent graduate?: We’d love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates. More About Databricks YouTube The impact you will have: Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in AI and data analytics to excite customers about Databricks. You will develop into a ‘cha

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. Snowflake is actively seeking a Life Sciences Industry Principal to join our Global Industry Go-to-Market team. This team is made up of subject matter experts that come from the industry. They serve an internal strategy role as well as an external customer-facing role to provide context and establish credibility on how Snowflake can deliver on business use cases and outcomes. In this role you will be responsible for working with our field sales teams and customer executives to develop and close new business for targeted accounts within the Life Sciences sub-vertical. You will act as a visionary and an innovative industry expert as it pertains to data, analytics and AI. You will have the opportunity to apply your successful track record of building, overseeing, and developing enterprise solution go-to-market strategies. RESPONSIBILITIES : Provide industry experience and insight within our most strategic life sciences accounts developing account strategies, building trusted relationships, and presenting Snowflake’s vision for the industry to a C-level audience Build customer-facing industry content Build strategic relationships with the life sciences vertical ecosystem including customers, partners, and data providers Partner with the industry architect and industry marketing

About the Team The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem — the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads. We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve. Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling. About the Role As a Senior Software Engineer on Spark Platform, you will set the technical direction for our in-house Spark deployment and shape the architecture that will run DoorDash's data, analytics, and ML compute for the next five years and beyond. You will own the deep, cross-cutting problems that span the runtime, the shuffle service, the scheduler, and the overall service reliability — making the architectural calls that compound across the platform's lifetime. You will partner with the Engineering Manager on technical roadmap, hiring, and team shape, and act as the senior technical voice in cross-team partnerships with Data Engineering, ML Platform, and product engineering teams that depend on the platform. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You're excited about this opportunity because you will… Set the multi-year technical direction for an in-house Spark-on-Kubernetes platform — runtime, shuffle, scheduler, reliability — and make the architectural calls that compound for years. Own the deepest distributed-systems problems on the team: shuffle architecture, multi-tenant scheduling, runtime performance, and the failure modes that only show up at scale. Partner with the Engineering Manager on technical roadmap, hiring, inte

About the Team The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem — the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads. We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve. Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling. About the Role As a Software Engineer on Spark Platform, you will execute across the surfaces of our in-house Spark deployment that serves the entire company. The work spans Spark runtime upgrades and performance, multi-tenant scheduling and executor bin-packing on Kubernetes, cluster lifecycle automation, and the observability and incident automation that keep the platform sustainable. You will move between layers as the work demands — picking up the next high-leverage problem regardless of where it sits — and partner closely with the rest of the team and with platform consumers across the company. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You're excited about this opportunity because you will… Build and operate an in-house Spark platform that runs at company-wide scale, spanning runtime, scheduler, reliability, and user-facing tooling. Drive multi-tenant scheduling, executor bin-packing, and cost-aware placement that let a small team serve dozens of consumer teams. Own pieces of cluster lifecycle automation — provisioning, upgrades, capacity changes, and node-failure handling — at a scale where these stop being manual events. Build the observability and incident automation that make the platform debuggable end-to-end and keep on-call sus

Finance Manager, GTM This role sits at the center of a fast-scaling GTM org on an AI-native transformation journey. You'll be expected to keep pace with rapid growth, bring order to ambiguity, and continuously challenge how the finance function operates — not just run the existing playbook. The Finance Manager will report to Director Finance, and they will own financial reporting to finance and sales leaders. They will manage Headcount, T&E expense, and support key deliverables like annual planning, bookings forecast, BvA analysis, monthly/quarterly financial reporting and ad hoc analysis of the business. We are looking for an AI-native leader who treats AI as a default part of their workflow — automating recurring reporting, building self-serve analytics, and using LLM-based tools to move faster and go deeper than a traditional finance function. This position will be based in Palo Alto, California and will require in-office attendance 3 days a week. What you'll do: Business Partner with the Chief Business Officer Own headcount management and collaborate with Ops and Recruiting to maintain accurate source of truth for actuals & forecasts Construct & present monthly and quarterly review of various pillars in the and CBO’s org to Sales and Finance Executive Leaders Bookings by Product / team Expense by type / team RoI/Cost-benefits ratios BvA explanations to Finance Executive Leaders Provide ad hoc reporting and analysis for senior management as needed to review and improve business and financial performance Mentor junior analysts on the team, and construct independent processes that support your work, that analysts can be trained on Business Partner with the VP of Sales Ops & VP of Sales Enablement Own headcount management Manage the SKO, President Club Budgets Reporting Build monthly and quarterly decks with topline and expense insights Project Manage the teams’ deliverables around monthly and quarterly clo

Atlas HXM is the global workforce platform built on compliance. We help companies determine how to engage each member of their workforce and then execute with accountability built in — direct Employer of Record (EOR), Agent of Record (AOR), payroll, and compliance capabilities backed by a decade of practitioner-led expertise. Recognized as a category Leader by NelsonHall and Everest Group, Atlas HXM builds Human Experience Management into everything we do, guided by our "For People, by People" principle. The future of work is borderless, and so are we. Our people are located around the globe — in the U.S., the UK, India, Colombia, China, and beyond. Diversity and belonging are not just values; they are who we are. We are also committed to making a positive impact. Through our Environment, Social, and Governance (ESG) impact initiative, we are addressing our environmental footprint and promoting social responsibility. Our impact program is central to our vision and culture, focusing on employee wellness, diversity, charitable work, and ethical corporate governance. Reports To: Vice President, Global Growth Marketing About the Role Our Company is seeking a strategic and results-driven Senior Director, Marketing Operations to lead the technology, automation, digital platforms, analytics, and operating processes that power our global marketing organization. Reporting to the Vice President, Global Growth Marketing, this role will build and optimize the infrastructure that enables Marketing to operate efficiently, deliver strong digital experiences, and connect marketing investments to measurable business outcomes. The Senior Director will own our marketing technology ecosystem, AI and automation strategy, website operations, data and measurement capabilities, and operational processes. This leader will partner closely with Marketing, Revenue Operations, Sa

Opportunity ThermalWorks has an exciting opportunity for someone passionate about sustainability and eager to be part of an innovative company that’s on a journey to transform the world’s infrastructure. We are seeking a Platform Engineer (ServiceNow) to join ThermalWorks,working directly with the AI and Data Analytics group. This role owns the administration and development of ThermalWorks core business systems, with ServiceNow as the primary platform and NetSuite and Arena PLM as supporting systems. You will be in a fast-paced environment, building and maintaining the applications, workflows, and integrations that groups across ThermalWorks, such as operations, service, and engineering, rely on every day. The Platform Engineer needs to be agile, professional, trustworthy with confidential information, and comfortable in a rapidly changing environment. You will work closely with service, operations, engineering, supply chain, and finance teams to turn business needs into reliable, scalable system solutions. Key Responsibilities Include but are not limited to: ServiceNow Administration Own day-to-day administration of the ServiceNow platform, including users, groups, roles, ACLs, forms, workflows, notifications, and the service catalog Manage instance upgrades and family releases, including regression testing with the Automated Test Framework (ATF) Maintain CMDB and platform data integrity and enforce configuration standards and governance Coordinate with ServiceNow implementation partners on enhancements, upgrades, and escalations ServiceNow Development Build scoped applications, workflows, and automations using Flow Designer, Business Rules, Script Includes, Client Scripts, and UI Policies Extend ServiceNow modules (e.g., ITSM, Field Service, Customer Service) to fit ThermalWorks’ operational and service workflows Manage development through update sets or source control, with sub-production testing and controlled promotion to production Evaluate build-