Analytics Systems Director Jobs

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 As one of our first Data Scientists dedicated to policy work, you will play a key role in ensuring Anthropic's work is understood by policymakers around the world. You'll sit at the intersection of data science and public affairs, transforming internal product usage and survey data into clear, accurate, and consistent evidence the Policy team can use to inform its positions, demonstrate Anthropic’s relevance to policymakers, and measure the impact of its work. Your analyses will directly inform how legislators, regulators, and the public understand Anthropic's footprint and contribution. This is a highly cross-functional role that is foundational to Anthropic's mission of bringing powerful AI to the world in a way that benefits humanity. Key responsibilities Partner with product and business teams across the company to produce supporting analyses and data collateral for specific policy position papers and partnership conversations Determine which metrics faithfully represent our company to legislators, regulators, and the public Own the dashboards and pipelines that keep externally-shared numbers consistent, so the Policy team can move quickly without creating discrepancies Use AI tools to aggregate news, policy developments, and other public data sources to track trends and provide a clear picture of the evolving regulatory landscape Develop measurement frameworks for policy communications, paid media, and public-affairs campaigns Design and implement policy analyses to support internal position development or measure the impact of policy implementation for external audiences Minimum qualifications Proficiency in Pytho

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 As part of our growing Data Science and Analytics team, you will play a key role in Anthropic's mission of building safe and beneficial AI by driving data-informed decision-making across the organization. You'll be embedded with teams supporting our Developer Platform — the infrastructure that enables developers and enterprise customers to build on Claude via our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. In this role, you'll partner closely with product, engineering, and go-to-market teams to understand how AI agents are being built and deployed at scale. You'll identify growth opportunities, surface insights about platform adoption, and drive data-informed decisions that shape our platform roadmap. You'll also help establish the analytical foundations and best practices of a data science team that is still defining itself — bringing rigor and clarity to a fast-moving environment. Key responsibilities Define key metrics, build measurement frameworks, and maintain core reporting to evaluate platform success Conduct deep dives into product and usage data to surface actionable insights, size opportunities, and influence roadmaps across product, engineering, and go-to-market teams Develop hypotheses and apply rigorous causal inference methods — including controlled experiments and synthetic controls — to evaluate platform changes and make actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions Build statistical models, optimization frameworks, and simulations to support and

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 As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. Responsibilities: Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through your insights and recommendations Develop hypotheses, apply rigorous causal inference methods – controlled experiments, synthetic controls – and analyze the results in order make actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes Present complex technical analyses and recommendations to both technical and non-technical stakeholders Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow You may be a good fit if you have:

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Proactive Threat team is responsible for identifying vulnerabilities and security weaknesses across Stripe's systems, applications, networks, and cloud infrastructure — before adversaries do. We operate as a hybrid offensive function: conducting penetration testing, emulating real-world threat actors through red team operations, and partnering closely with our defensive security teams to validate detection capabilities and improve Stripe's overall security posture. We are builders first. Our team develops custom tooling, automation frameworks, and internal platforms that scale our offensive capabilities and enable repeatable, high-fidelity assessments. We believe the best offensive security engineers are equal parts hacker and engineer. The team is distributed across the United States, primarily operating in Eastern and Pacific time zones, and collaborates regularly with security, engineering, and product stakeholders across Stripe — including teams in Europe and Asia. What you'll do As an Offensive Security Engineer on the Proactive Threat team, you will simulate the tactics, techniques, and procedures (TTPs) of real-world adversaries to uncover security risks across Stripe's products and infrastructure. You'll conduct hands-on penetration testing, lead red team engagements, and collaborate with blue team counterparts to validate and improve detection and response capabilities. Your work will directly influence how Stripe builds, ships,

About the Role We are seeking an experienced Senior Data Engineer to join our growing Data & Analytics team. This role will be responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support our organization’s data needs. Specific Responsibilities: Design, develop, and maintain robust data pipelines and infrastructure to support data integration, processing, and storage Collaborate with analysts and other stakeholders to understand data requirements and translate them into technical solutions Implement best practices for data governance, security, and quality assurance to ensure the reliability and accuracy of data Explore and evaluate new technologies and tools to enhance our data infrastructure and capabilities Design and implement complex data models on Azure Synapse Analytics to support data warehousing Utilize Azure DevOps for continuous integration, continuous delivery, and agile project management. Manage and optimize Apache Spark pools for high-performance data processing tasks. Develop and maintain ETL processes and data pipelines using Python scripting. Ensure data quality and integrity across all platforms and systems. Collaborate with cross-functional teams to translate business needs into technical specifications. Stay current with industry trends and advancements in Azure data services. What you'll need: Bachelor’s degree in Computer Science, Engineering, or related field Minimum of 5+ years experience in data engineering roles, with a strong focus on building and maintaining data pipelines and infrastructure Strong proficiency in Azure Synapse Analytics, Azure DevOps, and Apache Spark pools. Expertise in Python scripting and other programming languages such as SQL and Java Senior level knowledge of data modeling, processes, and data warehouse concepts Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholder

Your Mission As an AI Architect you will define scalable and resilient AI agent architectures while establishing reusable patterns, components, and frameworks to support consistent and efficient development. What You’ll Do Design and implement scalable, fault-tolerant agentic architectures. Develop and maintain traceability, monitoring, and evaluation mechanisms for AI systems. Implement guardrails and security measures to ensure safe and compliant AI usage. Build and optimize Retrieval-Augmented Generation (RAG) pipelines and vector search frameworks. Collaborate with stakeholders to define requirements and communicate technical concepts effectively. Evaluate the feasibility, practicality, and risks associated with AI architectures and workflows. What We’re Looking For Deep understanding of agentic architectural patterns and their practical applications in technology and finance. Proficiency in agentic orchestration frameworks (e.g., LangGraph or similar). Hands-on expertise in Python, with knowledge of both API-first development practices and traditional service-based architecture. Experience with traceability, monitoring, and evaluation techniques. Knowledge of cloud platforms and experience designing cloud-based AI solutions. Understanding of AI governance principles and practices. Excellent verbal and written communication skills for collaboration across technical and non-technical teams. Fluency in German and English Why Join Us Deliver high-impact, transformational data strategies for leading financial institutions. Work in a collaborative, entrepreneurial culture where your ideas shape the future. Access continuous learning , training, and industry certifications. Influence not only client outcomes but also the strategic direction of our data practice. Be part of a team that’s redefining the future of digital financial services . Capco’s #BeYourselfAtWork culture means we celebrate individuality and work in an environment where div

Senior Data Scientist Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We are looking for a Senior Data Scientist to join Capco’s growing UK Data Practice. You will play a leading role in designing and implementing cutting-edge data science solutions across financial services. This is an opportunity to build intelligent systems that drive commercial and customer outcomes while mentoring others and collaborating in a dynamic, multi-disciplinary environment. You'll also embrace AI-enabled ways of working, using approved AI tools where appropriate to enhance delivery while applying sound professional judgement. What You’ll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments. Develop and prototype ML models to solve complex business challenges using modern techniques and tooling. Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables, using approved AI tools where appropriate to improve efficiency and accelerate insight. Guide and coach data science pods, supporting skill development and solution design. Act as a subject matter expert on ML architecture, model calibration, and productionisation, promoting responsible AI practices and scalable model governance where applicable. What We’re Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries. Strong background in applied machine learning, model development, and data engineering, with an appreciation of responsible AI principles. Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, and Redshift. Demonstrated ability to lead cross-functional teams and mentor junior practitioners. Ability to communicate complex technical concepts clearly to non-technical audiences and apply AI-enabled approaches to deliver practi

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Credit-based and consumption-based offerings are becoming central to how GitLab monetizes. The systems that meter, rate, and bill that consumption sit underneath all of it. You'll own the backend usage billing pipeline and its product direction while supporting the Monetization Platform and Infrastructure team as it modernizes the foundations underneath it. When another GitLab team launches a credit-consuming capability, you'll help them make it billable across GitLab.com, self-managed, and GitLab Dedicated. This is a technical, systems-oriented product role: success means building a monetization platform

Job Title: GCP Data Engineer About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Location - Bangalore , Hyderabad , Chennai Min 8-12 years of hands-on experience in GCP Data Engineering designing, building and supporting distributed systems and large-scale data processing systems in production with a proven track record. Expertise in GCP Data Products e.g. BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer, Apache Kafka Good hands on experience to Build Batch Data and Streaming Data Pipelines on Google Cloud Strong coding/scripting experience developed in a commercial/industry setting ( Python, SQL, Java, Scala or Go ). Strong SQL ability to write complex queries is must; Strong working

Integration meets Innovation At Celigo, we believe integration should empower — not exhaust — innovation. As a modern Integration and Automation Platform (iPaaS), we’re on a mission to simplify how companies integrate, automate, and optimize processes. Powered by game-changing technology like runtime AI and prebuilt, mission-critical integrations, Celigo is redefining how businesses connect their world. Celigo is looking for a Principal Product Manager - Customer Zero to own the highest-leverage program in the company: running Celigo on Celigo. When GTO operates on our own platform across GTM, CX, and G&A systems, we become our own best customer. We discover what's hard before customers find it, feed it directly into Product, and give Sales a credible, live reference in every deal. This role is the dedicated owner of that program, end-to-end. What would you do if hired? Own the Customer Zero program as a funded initiative with a real roadmap, clear outcomes, and an operating rhythm that holds across competing priorities. You set the pace, define what done looks like, and keep the work alive without needing someone to push it. You measure yourself by business value delivered, not by meetings held. Drive adoption of Celigo's own products (agents, MCP, Ora/CLI, integrations) inside GTO's GTM, CX, and G&A systems. When you run into friction, you dig into it before being asked. Surface what's genuinely hard, prioritize it, and shepherd it into Product's roadmap in partnership with the CPO's org. Use Celigo's AI-powered platform as part of how you work every day. You will be one of the first people inside the company to push on new agentic capabilities, give Product honest feedback on where they deliver and where they fall short, and help define what "AI-first" actually looks like inside an enterprise workflow. Your daily use is part of the feedback loop. Bring product discipline to every workstream: defined requirements, clear success criteria, and priorit

Make your mark on the world by managing research that matters. As a survey research project coordinator at Gallup, you’ll be the driving force behind the flawless execution of global research projects. Working at the intersection of project coordination and international vendor management, you’ll collaborate with in-country partners in India and across Asia to ensure timely, high-quality data collection for the Gallup World Poll and other global research projects. Gallup has data on everything that matters in the world, including world happiness, financial inclusion and modern slavery. If you’re interested in research that transforms organizations and communities, this may be the perfect opportunity for you. What You’ll Do Own the full coordination process for survey data collection in India and across Asia Proactively manage vendor performance to ensure timeliness, accuracy and compliance Monitor quality assurance processes, flag risks early and resolve any issues Collaborate across internal teams in Asia, Europe, Africa, Latin America and the U.S. Communicate confidently and clearly with partners from diverse backgrounds Support long-term documentation and tracking systems to improve future performance Who We Want Detail-driven organizers who spot gaps, solve problems quickly and maintain meticulous records that keep projects running smoothly Disciplined achievers who thrive in fast-paced environments, juggle multiple tasks effortlessly, and consistently deliver with precision and speed Commanding coordinators who take ownership of vendor relationships and confidently hold partners accountable to deadlines and standards Strategic communicators who proactively share updates, give clear direction, and align stakeholders and partners Collaborative partners who build strong working relationships across cultures, time zones and personalities — and make others better through teamwork What You Need Master’s degree required At least two years of work experience in project

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.Spotify’s Personalization organization builds the technology that helps millions of listeners discover what they love. Within this space, our research team focuses on advancing the state of the art in machine learning and AI to shape the future of personalization. We explore new approaches, challenge existing assumptions, and contribute to the broader research community while influencing long-term product direction. What You'll Do Conduct original research in machine learning and AI, with a focus on large-scale foundation models, generative AI, and post-training methods, including reinforcement learning. Develop novel methodologies, models, and evaluation frameworks to advance personalization systems. Design and execute rigorous experiments to explore new ideas and validate research hypotheses. Contribute to the scientific community through publications, talks, and conference participation. Collaborate with cross-functional partners to translate research insights into long-term product opportunities. Help define and evolve a forward-looking research agenda aligned with Spotify’s personalization strategy. Mentor others and contribute to a strong, curious, and collaborative research culture. Who You Are You have a Master’s or PhD in machine learning, AI, or a related field, or equivalent research experience. You have demonstrated expertise in machine learning and artificial intelligence through peer-reviewed publications at conferences such as NeurIPS, ICLR, ICML, KDD, or RecSys. <

Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team At GoDaddy, we believe better workforce decisions start with trusted data. We're growing our People Analytics capabilities and looking for a People Business Intelligence Analyst to help us build clear, reliable reporting that supports our People team and business leaders. Are you someone who enjoys finding patterns in complex datasets and transforming information into meaningful stories? Do you like solving challenges that directly influence how organisations hire, develop, and support employees? You'll own the data mapping work that connects source systems (HRIS, ATS, payroll, engagement surveys, etc.) into our Redshift warehouse, and build the dashboards, reports, and AI solutions that people leaders, HRBPs, and executives actually use to make decisions! Working with HR systems, analytics platforms, and AI-powered tools, this role helps us understand workforce trends, improve reporting, and maintain trusted data across the employee lifecycle. We are committed to creating an inclusive hiring process and will provide reasonable accommodations for candidates who need additional support. We'd love to hear from you! What you'll get to do... Map and document data flows from HR source systems into Redshift, including field definitions, lineage, and business logic (e.g., how "headcount," "attrition," or "time-to-fill" are calculated). Maintain a data dictionary and metric glossary to ensure definitions remain consistent across teams and dashboards Build and maintain dashboards in QuickSight and Power BI covering key people metrics inclu

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary As a Data Engineer (Intermediate/Senior) , you will work closely with Data Architects, Business Analysts, BI developers, and client technology teams to design and implement reusable data ingestion and transformation pipelines in Data Lake/Lakehouse implementation programme What You’ll Do Developing batch, CDC and/or streaming data ingestion pipelines from multiple source systems. Implementing Bronze, Silver and Gold data layers , including data cleansing, transformation and standardisation. Developing reusable data pipelines and supporting data product implementation. Implementing data quality, reconciliation, validation and monitoring controls. Supporting data migration, integration testing, UAT and production release. Working with the architecture team to ensure solutions follow agreed cloud, security, governance and engineering standards . Supporting knowledge transfer and BAU handover. What We’re Looking For 4+ years of experience in data engineering or related roles. Strong experience in Databricks, Azure, SQL, Python/PySpark, ETL/ELT, Delta Lake, data modelling, data quality and CI/CD. Experience in financial services especially asset management or large-scale data transformation, would be advantageous. Experience in workong on an end-to-end enterprise da

This is an internal facing role which will shape the technology that enables a global organisation to do its best work. As Senior Manager, Platform Engineering, you’ll lead the team responsible for Diligent’s Atlassian and Microsoft platforms while setting the architectural direction for the wider internal IT estate. You’ll combine people leadership, enterprise platform strategy and hands-on technical judgement to create secure, reliable and scalable experiences for employees worldwide. From modernising service management and automating joiner, mover and leaver processes to enabling AI safely through Microsoft Copilot and Atlassian Rovo, your work will reduce friction, strengthen governance and deliver measurable business impact. Working across IT, Security, HR, Finance, Legal, Compliance and business teams, you’ll turn complex requirements into well-governed platforms that are easy to use, resilient and ready for the future. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead, coach and grow a global team of platform engineers and systems administrators, building a high-performing and inclusive culture. Own the strategy, architecture, governance and roadmap for Atlassian Cloud, including Jira, Jira Service Management, Confluence, Atlassian Guard and Rovo. Set the direction for Diligent’s Microsoft 365 E5 estate, including Teams, SharePoint, Exchange Online, Intune, Defender, Purview, Power Platform and Copilot. Design scalable integration and automation patterns across identity, HRIS, ITSM and business systems using APIs, event-driven automation, Okta Workflows, Power Platform and scripting. Partner with IT Support to improve self-service, automate repetitive work and reduce ticket volume, escalation effort and time to resolution. Establish strong standards for security, access governance, AI adoption, reliability, compliance and business continuity across the internal technology estate. These are the essentials you’ll need to get an