Analytical Quality Assurance Director Jobs

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. For over 180 years, 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. We’re looking for a commercially minded Senior Product Manager (GTM) to lead how our global finance & credit products are brought to market across multiple countries. In this role, you’ll own the end-to-end go-to-market strategy, shaping how we position, launch, and scale our products to drive strong adoption and revenue growth. You’ll work closely with senior stakeholders across product, sales, marketing, and customer teams to ensure every launch lands with impact. If you enjoy turning great products into successful commercial outcomes and thrive in a fast-moving, cross-functional environment, this is a role where you can make a real difference.

About the Role The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake. The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem. Key Responsibilities Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation. Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation. Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows. Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences. Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction. Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams. Drive architectural decision

Über uns: Wer ist Artefact? Artefact ist eine weltweit führende Beratung für Daten- und KI-Dienstleistungen mit Hauptsitz in Paris. Wir verbinden die Stringenz und die strukturierte Problemlösungskompetenz einer erstklassigen Strategieberatung mit tiefgehendem Fachwissen in den Bereichen Daten, KI und Analytics, um unseren Kunden messbare geschäftliche Erfolge zu ermöglichen. Mit mehr als 2.000 Consultants, Data Scientists und Engineers in 26 Ländern arbeiten wir mit den globalen Marktführern zusammen. Unser deutsches Büro befindet sich auf einem starken Wachstumskurs und berät Kunden branchenübergreifend bei ihren drängendsten strategischen Herausforderungen. Wir liefern nicht nur Präsentationen - wir schlagen die Brücke zwischen technologischen Möglichkeiten und geschäftlichen Anforderungen. Dabei begleiten wir unsere Kunden vom ersten Leuchtturm-Use-Case bis hin zur unternehmensweiten KI-Reife. Als Consulting Manager (m/w/d) Data & AI Strategy agierst du als vertrauenswürdiger Sparringspartner für Führungskräfte, steuerst komplexe, funktionsübergreifende Transformationsprogramme und treibst den organisatorischen Wandel in großem Stil voran. Deine Hauptaufgaben: KI-Transformationsprogramme leiten: Du steuerst die End-to-End-Umsetzung - von fokussierten kurzen Projekten im gehobenen Mittelstand bis hin zu mehrphasigen Transformationen in Großkonzernen. Du identifizierst interne Promotoren und nimmst die Stakeholder mit, überwindest Hürden und sorgst für eine messbare Akzeptanz sowie den organisatorischen Wandel. Strategie & KI-Use-Case-Scoping: Du arbeitest eng mit Stakeholdern auf C-Level zusammen, um geschäftskritische Fragen zu beantworten: Wie verändert KI das Geschäftsmodell? Wie sieht die passende Data Governance aus? Du berätst strategisch, hilfst aber auch konkret bei der Modellauswahl und bewertest die technische Machbarkeit. Business Growth vorantreiben: Du treibst das Wachstum unserer deutschen Praxisgruppe aktiv voran. Mit unternehmerisch

Dappsfirm delivers advanced Color Prediction Software Development solutions for entrepreneurs seeking a feature-rich gaming platform at minimal cost and quick deployment. Our software includes AI-powered analytics, RNG-based fair gameplay, real-time result generation, multi-wallet integration, instant payouts, referral and bonus systems, customizable admin dashboards, multilingual support, anti-fraud protection, blockchain-ready transactions, and live leaderboards. Designed for scalability, security, and user engagement, Dappsfirm provides high-performance color prediction software tailored to modern gaming market demands with seamless cross-platform compatibility. contact us Today & Book a Free Demo Instant Reach Experts: FreeDemo-https://www.dappsfirm.com/colour-prediction-software-development mail - [email protected] call / whatsapp - +919597355524 telegram- Dappsfirm

A Career with Point72's Trading Research Team WHAT YOU'LL DO Build and scale the research-to-trading platform that enables to support the design, testing, and deployment of quantitative strategies from prototype to production Design and implement high-performance analytics and pricing libraries in C++ and Python to support back testing, simulation, and real-time decision making Partner with investment professionals across the global business to translate ideas into robust, production-grade code and reproducible experiments Develop and maintain data pipelines and storage solutions that ingest, validate, and serve large historical and real-time market datasets Deploy, monitor, and operate production services, including automated testing, release processes, and incident response Drive performance and latency optimizations across code paths and infrastructure using profiling and benchmarking techniques Create tooling for experiment management, post-trade analysis, and model validation to measure strategy behavior and market impact Lead and contribute to the technical roadmap, increasing automation, resilience, and scalability of the research infrastructure Mentor junior developers, share best practices for software engineering, and promote a culture of continuous improvement and technical excellence WHAT'S REQUIRED Bachelor’s degree or higher in computer science, engineering, mathematics, physics, or a related quantitative discipline 3+ years of professional software engineering experience building production systems in a collaborative environment Strong proficiency in Python for data analysis and tooling and fluency in modern C++ for performance-sensitive components Practical experience building and querying relational databases or columnar data stores using SQL and hands-on experience with Linux development Proven experience designing and operating production services, including testing, deployment, and monitoring practices Demonstrated ability to profile, debug, and

Databricks — the global leader in data and AI — is looking for a motivated Legal Counsel to play a key role in our growing EMEA business. This is an opportunity to bring your SaaS commercial experience to a company defining the next generation of data, analytics and AI — partnering with sales teams to enable some of the world's most innovative organisations to build on the Databricks Data Intelligence Platform. You will report to the Director & Assistant General Counsel, EMEA Commercial Legal, and will be a valued part of the team responsible for reviewing and negotiating customer agreements, providing legal support for revenue-generating activities of Databricks, and helping the business to improve processes and scale at pace. The impact you will have: Working in partnership with the sales teams to enable some of the best known companies in the world to adopt the world's leading data and AI platform. You will diligently help resolve legal issues to enable smooth and timely transactions, escalating to senior team members where appropriate. You will work collaboratively within an experienced and supportive legal team that will invest in your development and learn to confidently guide our sales teams on internal processes. You will have a genuine appetite to test, adopt and champion AI tools that make our legal function faster and smarter. Reviewing, drafting and negotiating commercial agreements, such as MCSAs, SOWs and Order Forms, ensuring that Databricks' risk position is protected and internal compliance requirements are met; Supporting the end-to-end contract management lifecycle, providing practical, commercially-minded advice to sales and professional services teams on contractual risks and commercial matters; Actively testing and adopting AI tools to improve the efficiency of contract review and the wider legal function, and contributing to process improvements and good practices that help us scale; Providing support and enablement to sales teams on key c

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. For over 180 years, 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.

About the Role: We are looking for proactive and data-driven Talent Acquisition professionals with 4+ years of experience to manage end-to-end recruitment while bringing analytics and strategic insights to our hiring processes. This role balances hands-on recruitment with strategic thinking, helping WIN attract top talent efficiently and effectively. Key Responsibilities: Manage the full recruitment lifecycle across functions, including sourcing, screening, interviewing, and onboarding. Partner with hiring managers to understand talent needs and recommend effective hiring strategies. Develop creative sourcing strategies to attract both active and passive candidates. Post and manage job openings on platforms like LinkedIn and Naukri, ensuring timely and accurate updates. Maintain and manage recruitment workflows in Greenhouse ATS, ensuring accurate candidate tracking and reporting. Track and report recruitment metrics, including time-to-hire, cost-per-hire, source effectiveness, and candidate pipeline health. Analyze recruitment data to identify bottlenecks, trends, and opportunities for process improvement. Support workforce planning with insights on talent availability and market trends. Ensure a seamless and positive candidate experience throughout the hiring process. Required Qualifications: 4+ years of experience in end-to-end recruitment. Hands-on experience with ATS/HRIS systems and recruitment analytics. Strong organizational skills, attention to detail, and ability to manage multiple priorities. Excellent communication and stakeholder management skills. Experience using data and metrics to inform recruitment decisions and improve processes. Familiarity with interview design, assessment frameworks, and structured hiring processes. Must have worked with Product-Based companies. WHAT WE OFFER: Highly inclusive and collaborative culture Opportunity to work closely with India-based and US-based teams Strong focus on learning, ownership, and g

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. Designation - Operations (Apprentice) Location - Navi Mumbai Function - Operations SBU - Products

CPI Security is seeking a hands-on Director of Financial Planning & Analysis (FP&A) to lead budgeting, forecasting, financial reporting, and strategic financial analysis. This role will partner with business leaders, support executive decision-making, and help modernize the finance function through automation, analytics, and AI-enabled tools. This is a player-coach role ideal for a finance leader who can manage and develop talent while directly building models, analyzing performance, improving processes, and delivering clear, actionable insights. Headquartered in Charlotte, North Carolina, CPI Security was founded in 1991 on an entrepreneurial spirit and a passion for helping and protecting others. What started as a company of 10 employees and 300 customers has grown into one of the nation's top 10 largest security providers with over 750 employees. Over the years, CPI has received many awards for excellence, such as twice-awarded SDM Dealer of the Year, Central Station of the Year, and the Marvel Award. The company leads the industry in alarm response times, is consistently ranked in the top 10 of electronic security businesses and is widely known as North Carolina and South Carolina's Top 25 Best Places to Work. What you’ll do: Lead the annual budgeting process and rolling forecasts, partnering with department leaders to align financial plans with business priorities. Build and maintain driver-based financial models, scenario analyses, sensitivity models, ROI models, and executive reporting. Own monthly financial reporting, including variance analysis, KPI tracking, forecast updates, and performance insights. Analyze revenue, margins, operating expenses, customer economics, and key business drivers to identify risks and opportunities. Serve as a finance business partner to leaders across the organization, providing data-driven recommendations. Improve forecasting, reporting, and planning processes through automation, BI tools, analytics, a

The Data Engineering team is responsible for building ETL pipelines that populate the Internal Data Platform, which drives analytics that help the company run more efficiently. Our team builds highly performant and scalable processes that extract massive datasets and makes those datasets available for querying in an optimal way. We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. What you’ll do Guide the Data Engineering team on building highly performance ETL pipelines using Spark and other Big Data technologies Help design the architecture of our Internal Data Platform to support the implementation of a robust medallion architecture Provide thought leadership on ways to achieve infrastructure cost savings on Cloud hyperscalers Design and build AI agents that can help automate many of the common development and support tasks that the team performs Work with Security and Compliance teams to ensure that datasets have appropriate permissions and regulations in place Work with our Data Platform, and Governance sibling teams to make data scalable, consumable, and discoverable We’re looking for someone with 10+ years experience working on enterprise data lakes/warehouses 5+ years of Spark and Python experience 5+ years of direct hands-on experience working with AWS or GCP Thorough AI knowledge, particularly with codegen tools and agentic frameworks Hive, Iceberg, Glue, or other technologies that expose big data as tables Familiarity with different big data file types such as Parquet, Avro, and JSON Exposure to real-time or streaming data technologies is a plus Success Measures In 3 months, you'll have a thorough understanding of the architecture of MongoDB’s internal Data and AI ecosystem In 6 months, you'll have owned the delivery of a large project from start (scoping, design) to finish (delivery) In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system About MongoDB

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. The Client Success Management function is responsible for retaining existing business and drive sales growth through client adoption of Company products and services. Specialize in using deep industry, business processes and product expertise to increase product adoption and utilization. Post-sale client point of contact accountable for value driven engagements across the customer retention lifecycle resulting in client renewals. May handle escalations and coordinate across other functional areas of the Company

We are seeking a hands-on Senior Workday Platform Engineer within the G&A IT Applications team to serve as the primary technical owner of the Workday platform across HCM, Payroll, Recruiting, Prism Analytics, Illuminate (AI/ML), integrations, security, and release management. This is a builder-first role. You will configure, develop, integrate, and operate within Workday while partnering closely with HR, Payroll, Finance, and IT stakeholders. You own the technical platform layer configuration, integrations, security architecture, governance, and release discipline, while HR and Payroll retain ownership of sensitive data and business policy logic. Key Responsibilities Platform Ownership & Delivery: Own technical execution across Workday HCM, Payroll, Recruiting, Prism Analytics, and Illuminate. Translate business requirements into phased technical delivery plans. Manage sandbox strategy, tenant lifecycle, and biannual release readiness. Hands-On Configuration & Development: Configure HCM and Recruiting modules.Build advanced reports (matrix, composite, BIRT), calculated fields, validations, and business process frameworks. Leverage Workday Extend to design and build lightweight custom applications that enhance core workflows. Maintain scalable security models and governance standards. Integrations & Architecture: Build and maintain integrations (EIB, Studio, REST/SOAP APIs, RaaS). Integrate with applications like ERP, identity providers, benefits carriers, and third-party systems. Ensure secure, reusable integration frameworks with monitoring and error-handling discipline. Analytics, AI & Automation: Implement and manage Workday Prism Analytics datasets and dashboards. Enable Workday Illuminate capabilities and intelligent workflows. Drive automation while maintaining audit and compliance standards. Security & Compliance: Own Workday security architecture and least-privilege acc

FEQ327R1 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 5+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experienc

ABOUT THE PRODUCT MANAGER ROLE: WIN is looking for a Product Manager to join our growing team in India. You will work at the intersection of AI, operations, data, and customer experience to build scalable, high-impact products across internal and customer-facing platforms. This is not a Scrum Master or delivery coordination role. This role requires a strong product mindset - someone who can identify opportunities before the market does, translate ambiguity into structured systems, and build products that fundamentally change how people work. You will work across AI-powered workflows, inspection operations, data intelligence, and platform thinking to create products that drive real business outcomes and long-term value. KEY RESPONSIBILITIES: ● Define and drive product strategy for internal and customer-facing platforms ● Identify product opportunities across AI, automation, analytics, and workflow optimization ● Translate complex and ambiguous business problems into structured product solutions ● Collaborate with engineering, design, operations, and leadership to shape product roadmap ● Build scalable product systems and frameworks instead of one-off feature solutions ● Prioritize initiatives based on impact, adoption, and business outcomes ● Leverage data, user research, and experimentation to deeply understand user behaviour ● Drive execution with clarity and ownership without acting as a project coordinator ● Design AI-first product experiences rather than simply adding AI features ● Focus on long-term product value including adoption, retention, efficiency, and ecosystem growth REQUIRED QUALIFICATIONS: ● 4+ years of experience in Product Management or Product Ownership in a product-driven company ● Strong understanding of APIs, system integrations, and platform architecture fundamentals ● Familiarity with AI/LLM workflows and their practical applications in products ● Experience with product analytic