Analytical Quality Assurance Director Jobs

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. About the Role: We're looking for a Manager to own our renewal base analytics and bookings classification framework. This is a high-impact individual contributor role sitting within GTM FP&A, working at the intersection of finance, revenue operations, and go-to-market strategy. You'll bring deep Enterprise Software FP&A expertise to one of the company's most critical functions — renewal base health, multi-year forecasting, and bookings policy — shaping how we plan, compensate, and report on the business. What You'll Do: Renewal Base Ownership Own and maintain the renewal base model, producing reliable multi-year forecasts that inform company-level planning Set renewal base targets and quotas for annual planning cycles, partnering with Sales, RevOps, and Finance management to align on assumptions Define renewal base inputs for compensation planning, ensuring quota-setting methodology is consistent and defensible Serve as the primary point of escalation for renewal base discrepancies, investigating and resolving data or methodology issues raised by sales, CS, and finance stakeholders Bookings Policy & Classification Own the framework for how bookings are classified — new, expansion, or renewal — and ensure consistent application across the business Define and maintain bookings policy, including what constitutes a genuine new work

SOBRE A CAPCO A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira! Buscamos uma pessoa Data Analyst com forte capacidade analítica e visão de negócio, confortável em trabalhar com dados para além da criação de relatórios e extrações SQL. Essa pessoa será responsável por avaliar a qualidade dos dados, desenvolver indicadores, estruturar frameworks de medição e transformar objetivos de negócio em resultados mensuráveis. A função atuará em parceria com stakeholders, equipes de produto, tecnologia e dados para gerar insights e apoiar decisões estratégicas. Principais responsabilidades Explorar, analisar e interpretar dados provenientes de diferentes fontes. Avaliar a qualidade, integridade, completude, consistência e atualidade dos dados. Identificar anomalias, lacunas e problemas que possam comprometer análises ou decisões. Desenvolver KPIs, métricas e frameworks de medição alinhados aos objetivos de negócio. Traduzir metas e necessidades de negócio em indicadores claros e mensuráveis. Definir critérios, regras e estratégias para identificação, análise e tratamento de registros duplicados. Validar regras de consolidação, correspondência e priorização de registros. Criar relatórios, dashboards e análises que apoiem decisões operacionais e estratégicas. Monitorar tendências, padrões de comportamento e variações relevantes nos dados. Medir a adoção de produtos, plataformas, funcionalidades e novos processos. Avaliar o valor gerado por iniciativas por meio de métricas de impacto, eficiência e resultados. Estabelecer baselines, metas e mecanismos de acompanhamento de desempenho. Comunicar descobertas e recomendações de forma clara para públicos técnicos e não técnicos. Document

Expression of Interest – Future Opportunities We’re building a pipeline of talented professionals interested in future opportunities with Artefact. This posting is for resume collection and does not represent an immediate vacancy. We welcome you to share your resume, and our recruiting team may reach out as opportunities aligned with your experience become available. Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel. We have 2000 employees across 36 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe. Find out more at artefact.com . Our Opportunity We are looking for a Senior AI & Agentic Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms. Implement continuous integration and co

Req: FEQ427R137 Location: Singapore The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming,

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description What You’ll Do Team Leadership & Talent Development: Lead and develop global engineering and analytics teams across multiple levels. Recruit, mentor, and grow analysts, engineers, and contractors into high–performing contributors. Foster a culture of technical excellence, collaboration, and continuous improvement. Yield & Process Optimization: Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data to identify top yield detractors and drive continuous improvement. Data Pipeline & Automation: Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operations. Advanced Analytics & Modeling: Apply data science techniques, statistical modeling, and machine learning to troubleshoot yield issues and support defect reduction strategies. Experimentation Support: Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins. Visualization & Communication: Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, streamlit) to communicate technical concepts and project outcomes

Responsible for leading service delivery excellence and transaction processing activities within the Category Management and Sourcing domain. The role focuses on optimizing procurement processes, driving sourcing efficiency, ensuring policy compliance, supporting supplier management, and enhancing stakeholder satisfaction. It also contributes to procurement transformation through process standardization, automation, governance, analytics, and operational excellence initiatives, ensuring seamless and value-driven procurement services across the Adani Group. Source: Adani Group | Job ID: 57648

MongoDB has a great opportunity for a Senior HR Business Partner for our Technical Services organization. HRBPs at MongoDB are responsible for helping business unit leaders and their leadership teams develop and implement a people and culture strategy that best supports their business needs. They act as coaches, trusted advisors, change agents, consultants and thought partners on all things talent within the business. They work closely with other teams within the People Team to perform their role and responsibilities – this includes Employee Experience, Compensation, Culture & Talent Development, Talent Acquisition, HR Operations and People Analytics. This Senior HRBP role is an opportunity for a strategic, commercially minded people leader to shape the talent and organizational agenda for a complex business. The role will partner closely with senior leaders to anticipate people needs, lead through change, translate data into clear recommendations, and build scalable solutions that enable the business to grow. Alongside this strategic partnership, the Senior HRBP will lead critical talent moments, including performance, engagement, succession, and compensation cycles, ensuring they drive meaningful business and people outcomes. We’re open to candidates across North America’s Eastern and Central Time Zones and are flexible on location for the right candidate. Key Responsibilities Builds relationships with leaders to offer thought leadership on organizational and people-related strategy and execution Adopts the culture of the organization and embodies our values and leadership principles Develops a commercial understanding of the business to appropriately guide and influence leaders on their talent agenda Applies expertise in the following areas: organizational design, workforce planning, change management, performance management, career planning, coaching, analysis of people data, compensation (cash and equity), complex employee relations issues, learning and dev

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a highly organized, analytically grounded Sales Strategy, Operational Excellence partner to help run the operating system of our go-to-market organization. As Anthropic's GTM motion scales rapidly, the difference between a sales org that grows and one that grows well comes down to operating discipline: a forecast call that runs the same way every week, a planning cycle where every team knows the timeline before it starts, and a single set of standards that Sales and Strategy both recognize as their own. You will sit at the center of the CCO's operating rhythm and act as the connective tissue between Sales leadership, Revenue Operations, Finance, and Systems. Week to week, that means making sure the forecast and pipeline cadences run cleanly and that the inputs leaders are looking at are consistent and trusted. Quarter to quarter, it means driving the mechanics of target setting and quota deployment. Annually, it means program-managing the planning cycle so that territories, capacity, comp, and targets land on time and tie together. The ideal candidate is someone who finds genuine satisfaction in making a complex organization run smoothly. You can take a process that exists as tribal knowledge across five spreadsheets and three Slack channels and turn it into a single, documented standard that people actually follow. You are comfortable being the person in the room who knows what's due, from whom, by when, and you can hold cross-functional partners accountable without authority. In a business where the model is evolving faster than the playbook, the ability to build durable operating mechanisms is it

About the Role Chime's Growth Engineering team is focused on building product experiences that directly move business metrics and help millions of people achieve financial progress. As a full stack Growth Engineer, you'll work across the stack - React and TypeScript on the front end, Rails and Go services behind it - to build features that drive member growth at Chime. You'll collaborate closely with product, design, data science, marketing, and analytics to experiment rapidly, drive measurable outcomes, and scale impactful solutions. This role is perfect for engineers who thrive in fast-moving environments, want to help define new products or experiments, and are passionate about helping Chime grow faster and smarter. In this role, you can expect to Build and ship growth-focused consumer features end to end - React and TypeScript interfaces, the services and APIs behind them, and the experiments that measure them Collaborate cross-functionally with mobile, product, design, data science, and marketing teams to identify member pain points and opportunities Rapidly prototype and launch A/B tests, iterating on ideas that improve activation, conversion, and engagement Analyze the performance of features post-launch to inform future iterations and growth strategies Apply a metrics-driven mindset to decision-making and prioritize efforts based on member and business impact Improve reliability, scalability, and performance across the stack - from page load and funnel conversion on the client to latency and throughput in our services Contribute to a culture of technical excellence through mentorship, code reviews, and driving best practices To thrive in this role, you have 2+ years of experience building scalable software in production environments Proven experience with both a modern front-end framework (React or comparable) and a server-side framework (Ruby on Rails, Go, or comparable) Experience designing APIs and working with transactional databases and caching, plus cl

FEQ427R473 As a Solutions Architect, you will contribute to the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted technical partner to customer architects and engineering leads. You combine deep technical expertise with a hands-on builder mindset to position Databricks as the foundation of your customers' data and AI strategy. You are developing a technical specialization (archetype) and are becoming a go-to resource within your team for depth in a specific domain. The Impact You Will Have: Own the end-to-end technical strategy for your accounts — from discovery through production deployment — driving competitive wins by building differentiated AI and data solutions that accelerate consumption growth Lead complex architecture discussions — designing production-grade solutions across data engineering, AI/ML, agentic systems, and real-time analytics Serve as a trusted technical partner to customer architects, engineering leads, and Directors — helping shape their data and AI journey on Databricks Develop an emerging technical specialization (archetype) — ideally in AI/ML, agentic architectures, or a related domain — becoming a go-to resource within your team Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver end-to-end AI and data solutions for complex customer needs Provide structured feedback to product teams on customer requirements, AI capabilities, and competitive gaps What We Look For: 6+ years in solutions architecture, data engineering, data science/AI, or technical pre-sales — with a strong track record of hands-on solution building and customer-facing technical leadership Deep expertise in modern data and AI architectures — lakehouse design, scalable pipelines, real-time/streaming, and cloud-native platforms — with the ability to lead architecture discussions with senior stakeholders through whiteboarding, design reviews, and trade-off analysis that connect data

Req ID: FEQ427R45 Location London, UK The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialisation (archetype) and are recognised within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialisation (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g., real-time/streamin

Req ID: FEQ427R403 Location London, UK The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialisation (archetype) and are recognised within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialisation (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g., real-time/streami

About Capco Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation within the financial services industry. Operating at the intersection of business and technology, Capco combines innovative thinking with deep industry expertise to deliver end-to-end, data-driven solutions for banking and payments, capital markets, wealth and asset management, insurance, and energy clients worldwide. With a client portfolio spanning more than 100 global organizations, Capco helps businesses accelerate digital initiatives and unlock value through technology innovation. Our expertise spans Digital Transformation, Data & Analytics, Business and Finance Transformation, Technology Modernization, and Change Management. We are committed to maintaining our agile, entrepreneurial culture while attracting and developing exceptional talent. About the Job We are looking for an Insurance Finance professional with IFRS 17 experience to join a growing finance team in Kuala Lumpur. If you have experience in insurance accounting or financial reporting, have worked with IFRS 17, and are comfortable supporting financial close and reporting activities, we'd be keen to hear from you. The position can be considered at Senior Analyst or Manager level, depending on your experience. What You'll Do Manage or support month-end, quarter-end and year-end financial close activities. Prepare and review insurance accounting entries, reconciliations and financial reports. Support IFRS 17 accounting and reporting activities. Analyse balance sheet and P&L movements and provide commentary on key variances. Support statutory, management and regulatory reporting. Partner with Finance, Actuarial, Risk and other stakeholders on accounting and reporting matters. Support internal and external audit requirements. Review accounting treatments and maintain appropriate financial controls. Contribute to process improvement, automation and fin

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary : As an Industrial Engineer, you will leverage advanced analytics and AI tools to perform capacity analysis, propose strategies to management, and execute plans that support volume forecasts across tactical and long-term horizons. In this role, you will collaborate with Central Planning, Factory Network, and Supply Chain teams to develop scenarios and pursue strategic opportunities for the site. Candidates with hands-on experience or strong familiarity with Generative AI, Agentic AI, or other AI-driven solutions will stand out as innovators ready to shape the future of planning Main Responsibilities : Maintain and validate capacity model and capital plan to enable accurate assessment of cost effective factory loading needs Coordinate tool installation and location with facilities personnel and area engineers Leverage AI in applying novel and relevant industrial engineering and data engineering skills to master data modeling, advance capacity optimization and optimize capital scheduling Deploy effective project management and constraint debottlenecking strategies facilitating factory achievement of manufacturing Statement of Supply commits in the tactical horizon </

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Process and Equipment Engineering Project Title Artificial Intelligence Transformation for Process and Equipment Engineering Project Description Artificial Intelligence Transformation for Process and Equipment Engineering aims to enhance engineering productivity, manufacturing excellence, and data-driven decision-making through the application of Artificial Intelligence, automation, and advanced data analytics. The intern will undertake a defined engineering project that explores how AI-Enabled tools and digital workflows can improve the way engineers access technical information, analyze manufacturing data, investigate engineering challenges, develop solutions, and identify improvement opportunities across process and equipment domains. The project provides an opportunity to gain practical experience in semiconductor manufacturing, engineering analytics, AI-Enabled application development, and responsible use of Generative AI. The intern will collaborate with engineers and relevant subject-matter experts while developing and validating a project-based solution. Objective of the Project Identify a suitable process or equipment engineering u