Analytics Systems Director Jobs

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. Job Description: Responsibilities Work on the collecting, storing, processing, and analysing of large sets of data Choose optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them Responsible for integrating those solutions with the architecture used across the company and to help build out some core services that power Machine Learning and analytics systems Role Requirements Lead and work closely with all teams (including virtual teams based in non UK locations), creating a strong culture of transparency and collaboration Ability to process and rationalise structured data, message data and semi/unstructured data and ability to integrate m

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. We are evolving experimentation systems to help teams learn from product behavior and make better evidence-based decisions. Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use. About the Role We are looking for a Machine Learning Engineer to lead the technical direction for ML-powered experimentation and insights capabilities. You

About the Team The Statsig team is responsible for the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Teams across ChatGPT, Codex, model measurement, monetization, business subscriptions, developer products, and shared infrastructure rely on Statsig to introduce capabilities safely, measure their impact, and make high-confidence product decisions. About the Role As a Product Lead on the Statsig team, you will define how experimentation, rollout, configuration, and analytics become a simple, reliable, and trusted part of how every OpenAI product team ships. You will set strategy across multiple product and platform workstreams, translate company-wide needs into durable capabilities, and help Statsig become a core part of OpenAI’s product development system. We’re looking for a product leader who combines strong product judgment, technical fluency, and deep analytical thinking. You should be comfortable navigating ambiguous customer needs, influencing teams across the company, and balancing rapid adoption with reliability, usability, and measurement quality. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel requirements should be confirmed with the recruiter before publishing. In this role, you will: Define the product vision, strategy, and roadmap for experimentation, feature management, dynamic configuration, rollout safety, and analytics. Partner with product, engineering, research, data, design, and infrastructure leaders to turn recurring launch and measurement needs into reusable platform capabilities. Develop a deep understanding of workflows across ChatGPT, Codex, model measurement, monetization, subscriptions, and developer products, then establish clear priorities across competing needs. Drive adoption by making sophisticated experimentation and analytics c

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. Adoption of the platform is accelerating rapidly across the company, and recent SDK and server-side infrastructure work has already produced measurable wins in latency, reliability, memory usage, and compute efficiency for important services. Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use. About the Role We are l

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After joining OpenAI, the team began its next chapter: bringing deep product expertise, customer intuition, and mature platform infrastructure into the product development system used by every OpenAI team. Today, teams across ChatGPT, Codex, model measurement, consumer monetization, business subscriptions, developer products, and shared infrastructure rely on Statsig to safely introduce new capabilities, measure impact, and roll changes forward or back with confidence. We are at a defining moment as adoption accelerates and the platform becomes a company-wide standard. About the Role We are looking for an Engineering Manager, Statsig Product to lead the product engineering organization responsible for Statsig’s post-acquisition journey at OpenAI. You will define how experimentation, rollout, configuration, and analytics become a simple, reliable, and trusted part of how every OpenAI product team ships. You will set strategy across multiple product and platform workstreams, build the organization and leadership structure needed for the next phase, and establish the operating model for a platform that serves teams across the company. The right leader can operate across product strategy, technical architecture, organizational design, developer experience, reliability, and executive alignment. You will help preserve what made Statsig strong while integrating it deeply into how OpenAI launches, measures, learns, and makes product decisions. In this role, you will: Build, lead,

About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes safely. Adoption of the platform is accelerating rapidly across the company, and recent SDK and server-side infrastructure work has already produced measurable wins in latency, reliability, memory usage, and compute efficiency for important services. Based out of OpenAI’s Bellevue office, we are a close-knit team that values in-person collaboration, urgency, craft, and impact. We build for other builders, and the best version of this team is one where every OpenAI product team can move faster because the experimentation and rollout layer is dependable, fast, and easy to use. About the Role We are l

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Innovation, Technology and Products - Applied AI and Data Science organization builds AI, machine learning, and analytics systems for hard semiconductor engineering problems. We work directly with product engineering, reliability, test, manufacturing, and systems teams. Our engineers pair semiconductor domain knowledge with modern ML engineering, cloud platforms, and agentic AI. Everything we build is meant to run in production, not stop at a prototype. We are looking for a Lead Engineer, Applied AI and Agentic Systems. You will own the architecture and drive delivery of AI systems that engineers rely on every day. Problems will reach you vague. You will turn them into designs, plans, and working software. You bring depth in machine learning plus real strength in software engineering, cloud deployment, and agentic AI. You set direction, review designs, question assumptions, and grow the engineers around you. When a problem gets genuinely hard, you dig into the code alongside the team. If that sounds like your kind of work, we would like to meet you! Responsibilities: Set the architecture and technical direction for our applied AI, ML, and agentic AI work. Design systems end to end: data pipelines, features, model development, evaluation, inference services, and monitoring. Build the models engineers act on — prediction, diagnosis, optimization, and decision support for semiconductor applications. Ship agentic AI for engineering analysis, knowledge retri

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 Strategy & Analytics Internal Systems and SDC team aspires to supercharge the Internal Systems and SDC organization with analytics and insights. The Internal Systems and SDC org creates the engineering infrastructure and runs the internal operations that enables Stripe to succeed. We deliver data-driven insights that inform business decisions, drive measurable operational improvements, and guide strategy. We are not just data analysts, we are a mix of strategic business partners, deeply strategic and/or technical operational executors. We ensure timely, reliable, high-quality data for not just Internal Systems and SDC, but for stakeholders across Stripe. What you’ll do In this role, you’ll be the go-to expert for your business area. You’ll partner directly with leaders within the SDC and be their go-to for all things data, insights, and strategy. You’ll be hands-on and responsible for delivering critical insights, ensuring data driven decision making is at the core of what we do. You’ll partner with leadership to drive business strategy, planning, goal-setting and performance tracking. You may also scope and lead mission critical projects and execute on strategic initiatives. Responsibilities Metrics & Insights: Wrangle large, highly complex datasets using SQL into actionable insights and become the data expert for your business area. Develop metrics and large-scale dashboards to track the health of our user-facing and intern

Senior Software Engineer - Observability and Reliability About the Role We are growing the engineering team and looking for engineers who have the chops to build and deliver world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible. What You Will Be Doing Build observability tools and platforms, including: metrics, logging, distributed tracing, dashboarding, alerting, application performance management Build with modern tools and languages like Go, Open Telemetry and Kubernetes Participate in on-call rotation and ensure uptime of services Create runtime tools/processes that optimize cloud triaging and limit downtime Define best practices around making our systems and services measurable Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies. We expect successful candidates to be coding a majority of their time Qualifications We Need Strong Computer Science fundamentals 5+ years industry experience building and maintaining high-quality software, especially software other engineers use You apply a product mindset to infrastructure systems and feel accomplished enabling others Desire to be a great teammate and have fun at work Strong sense of craftsmanship, and a healthy academic curiosity Qualifications We Want (also, skills you’ll learn!) Experience building systems for data analytics Distributed systems monitoring and profiling skills Knowledge of cloud application security models Administered cloud service infrastructure (GCP, AWS, Azure) Startup experience Additional Job details Additional Job details The base salary range for this position is $170k - $240k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize e

Senior Software Engineer - Observability and Reliability About the Role We are growing the engineering team and looking for engineers who have the chops to build and deliver world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible. What You Will Be Doing Build observability tools and platforms, including: metrics, logging, distributed tracing, dashboarding, alerting, application performance management Build with modern tools and languages like Go, Open Telemetry and Kubernetes Participate in on-call rotation and ensure uptime of services Create runtime tools/processes that optimize cloud triaging and limit downtime Define best practices around making our systems and services measurable Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies. We expect successful candidates to be coding a majority of their time Qualifications We Need Strong Computer Science fundamentals 5+ years industry experience building and maintaining high-quality software, especially software other engineers use You apply a product mindset to infrastructure systems and feel accomplished enabling others Desire to be a great teammate and have fun at work Strong sense of craftsmanship, and a healthy academic curiosity Qualifications We Want (also, skills you’ll learn!) Experience building systems for data analytics Distributed systems monitoring and profiling skills Knowledge of cloud application security models Administered cloud service infrastructure (GCP, AWS, Azure) Startup experience Additional Job details Additional Job details The base salary range for this position is $170k - $240k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize e

About the Role We are growing the engineering team and looking for engineers who have the chops to build and deliver world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible. What You Will Be Doing Solve challenging problems that arise in providing an interactive experience on data warehouses for data exploration and analysis. Build with modern tools and languages like Rust, Go, GraphQL, and Kubernetes Build infrastructure to support a modern cloud application Develop new algorithms and techniques for improving the performance and interactivity of our multi-tenant cloud application Design and implement new technologies and features to support our fast growing user base Collaborate with cross-functional groups - backend, frontend, design, product, customer support, sales and marketing to build an innovative product Qualifications We Need Strong Computer Science fundamentals 5+ years industry experience building and maintaining high-quality software Experience building and deploying robust and secure web APIs Desire to be a great teammate and have fun at work Strong sense of craftsmanship, and a healthy academic curiosity Qualifications We Want (also, skills you’ll learn!) Experience building systems for data analytics Distributed systems monitoring and profiling skills Knowledge of cloud application security models SQL query optimization and database internals Administered cloud service infrastructure (GCP, AWS) Startup experience Additional Job details The base salary range for this position is $170k - $240k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

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 has an ambitious mission with high stakes and tight timelines. In some cases, the talent we need to achieve our vision can't be accessed through traditional recruiting alone. That's where M&A comes in, and this role is what keeps it running smoothly. We're looking for a Recruiting M&A Program Specialist to join our Talent team and coordinate the interview experience behind our acquisition hiring. You'll be a key point of contact across Corporate Development, Legal, People, and the technical organization, coordinating interviews and guiding candidates and incoming employees from first conversation through to their start date. Your work will be challenging and unique, and it directly supports Anthropic's efforts to remain on the frontier. Role required to work out of the Anthropic San Francisco Office - Relocation available. Responsibilities Program manage recruiting activities across Corporate Development, Legal, People, and technical leadership, keeping everyone informed, bringing solutions on what needs attention, and keeping the process moving. Educate and enable deal sponsors and cross functional partners on standard approaches for M&A recruiting, interviewing and processes. Operationalize the playbooks and processes that keep acquisition hiring organized and consistent, and partner closely with recruiting systems and analytics to evolve the program over time. Scope and run the recruiting workstream for each deal, from first conversation through start dates. Be a primary point of contact for candidates, delivering a warm, high-touch, and discreet experience from first conversation through

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. As a Data Science Intern on the Strategy, Execution, & Analytics team within the Platform group, you'll partner with product and engineering teams to turn data into decisions that drive real business impact. This team builds analytics models and systems that scale insights across Coinbase and directly into the product. You'll collaborate with senior data scientists and business partners to design experiments, build models, and deliver data-driven recommendations that shape how millions of customers experience crypto. You will gain hands-on experience at a publicly traded crypto-native company, with mentorship from senior data scientists and direct exposure to how data shapes the company. What you'll do: Collaborate with product teams to create analyses and build models that drive measurable business outcomes. Support the design and execution of experiments, including A/B tests and causal inference methods. Build and maintain analytical datasets and pipelines that ensure data integrity and power your analyses and models. Distill complex analyses into clear, actionable insights through data-driven storytelling for technical and non-technical audiences. Partner with senior team members on analytical deep dives to diagnose and address complex business problems. Required Skills and Experience: Coursework or project expe

Opportunity Overview: This is a unique opportunity to join a software engineering team that is growing quickly. You will build impactful healthcare technology on a modern stack utilizing your full stack software engineering background. Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles . We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. What you’ll do: Lead technical design and architecture for complex features across our business intelligence platform Take full ownership of end-to-end feature releases, platform enhancements, and system optimization initiatives Drive technical decision-making by conducting thorough analysis, evaluating trade-offs, and making data-driven architectural choices Architect and implement highly scalable cloud-based data services, APIs, ETL pipelines, and user interfaces Build mission-critical backend systems supporting analytics, reporting, and complex data query capabilities at scale Design and develop intuitive UI platforms and interactive dashboards for data visualization and business intelligence Champion engineering excellence by establishing and enforcing best practices, design patterns, and coding standards Optimize system performance, identify bottlenecks, and implement solutions for scalability and reliability Define and maintain comprehensive test strategies, ensuring high code quality and test coverage Actively participate in ensuring Cohere maintains a disciplined approach to healthcare security, compliance, and data governance Mentor and coach junior and mid-level engineers, fostering their technical growth and career development Collaborate cross-functionally with product, data science, analytics, and business stakeholders to deliver robust technical solutions ISMS roles and respon

This is a senior individual contributor role for someone who wants to actively shape how Engineering, one of the most important parts of how Datadog develops its people. You'll sit at the center of Datadog's biggest talent bets for Engineering: how we build leaders, define career paths and org design, evolve performance, move talent internally, and plan succession for our most critical roles. You’ll own this work end to end, from the first framing conversation with senior leaders through to delivering a program running at scale. AI is changing how Engineering builds software, and it is changing how People builds the programs that support Engineering too. This role sits at the centre of both: understanding how AI is reshaping engineering roles, skills and structures, and building AI-powered solutions within People to keep pace. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Design and lead complex talent programmes for Engineering, spanning leadership capability, career architecture, org design, performance, internal mobility and succession for critical roles. Partner directly with PBPs and senior leaders to turn ambiguous problems into clear programme goals, design principles and success measures. Help Engineering and People understand and respond to how AI is reshaping roles, skills and ways of working, and translate that shift into practical talent and org design choices. Stay hands-on from concept through to adoption: this is a build and run role, not a strategy and handover role. Work across Enablement, Learning, People Analytics and People Systems so what you build scales and embeds into core people processes. Equip PBPs with frameworks, tools and executive-ready narratives that support real adoption in the business. Operate in ambiguity and influe