Data Solutions Architect Jobs

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science & Analytics is at the heart of Lyft's products and decision-making. The Rider Experience team sits at the center of how millions of riders discover, choose, and return to Lyft. We are hiring a Data Science Manager to lead our Toronto-based science & analytics team that turns rider behavior into product strategy. This role owns the analytical foundation behind our most consequential rider-facing decisions: how we measure experience quality, where friction costs us retention, and which bets move rider LTV. You will set the measurement and experimentation standards for rider product squads, and translate ambiguous business questions into rigorous, decision-ready analysis that shapes roadmap and investment. You will also lead the team's transition to AI-native data science and analytics workflows, embedding AI tooling into how we explore data, make decisions, and ship products. Responsibilities: Lead and grow a high-performing team of data scientists and analysts with diverse backgrounds Define and drive the data science vision, strategy, and roadmap, aligning with business and product objectives to improve market competitiveness and rider experience Provide strong technical guidance and coaching to the team on complex data science problems Champion data-driven decision-making and prioritization by partnering with product managers, engineers, marketers, and leaders to translate insights into decisions and action Lead deep-dive analyses into large-scale datasets to identify opportunities for improving rider app experience and overall rider product health Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies Mentor and guide the professional and technical development of your team members; help develop the

About the Team The Business Data Science team uses data and analytics to optimize business performance, drive growth, and foster meaningful partnerships, with the goal of ensuring the sustained and impactful expansion of OpenAI's initiatives to maximize the benefits of AGI for all of humanity. We partner with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth. About the Role As a member of our Business Data Science team, you will help build a data-driven culture around insight generation, decision making, and strategy at OpenAI. This role is focused on driving customer success within our business products (ChatGPT Team, ChatGPT Enterprise, and API). You will work on projects such as identifying opportunities for interventions within a customer lifecycle to drive activation & onboarding, identifying target audiences for new feature launches, and measuring the efficacy of emails, events, and other interventions to drive ongoing engagement with our products. This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Embed with our Customer Success organization as a trusted partner, uncovering new ways to drive customer adoption and engagement of our business products. Establish key metrics, run experiments, and perform analysis to help us understand the incrementality of our efforts to drive adoption/engagement. Proactively surface insights and opportunities to drive engagement and growth. Build tools and systems for stakeholders to self-serve routine data and insights freeing up time to work on more leveraged analyses. Become an expert in OpenAI’s data and systems. Through partnership with Data Eng, Finance and other business teams, you will self-serve all the underlying data for our business and derive insights from them. Partner with other data scientists across the company to share knowledge and continually

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees. The Opportunity Okta is seeking a Principal Data Engineer to be the technical visionary for our internal data platform that supports our internal AI use cases with AI ready data. Reporting to the Sr Manager of Enterprise Data Platform, this role is responsible for turning the data product vision into a secure, scalable, and elegant technical reality. You will own the "how"—the technical strategy, implementation, and scalability that brings our AI and data product roadmap to life. This role requires a technical leader who can balance today’s execution with building a durable foundation for the future. You will own the technical standards for engineering excellence, security, and governance, ensuring our core data platform is trusted and ready to power the next generation of AI-powered products and decision-making at Okta. What You’ll Do Own the technical strategy and implementation for the company's AI d

About the Team The Preparedness team is an important part of the Safety Systems org at OpenAI, and is guided by OpenAI’s Preparedness Framework . Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models. The mission of the Preparedness team is to: Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards misuse risks whose impact could be catastrophic to our society Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems Preparedness tightly connects capability assessment, evaluations, and internal red teaming, and mitigations for frontier models, as well as overall coordination on AGI preparedness. This is fast paced, exciting work that has far reaching importance for the company and for society. About the Role We’re hiring a Data Scientist to help build, evaluate, and continuously improve mitigations that prevent extreme harms from AI systems. This role is for an experienced, highly autonomous individual contributor who can take ambiguous problem statements, structure rigorous analyses, and translate findings into actionable product and policy changes. This position goes beyond “running evals.” You’ll help create mitigation intelligence and monitoring systems that enable OpenAI to detect issues early, measure effectiveness over time, and reduce both over-blocking (unnecessary friction) and under-blocking (missed harm). What You’ll Do Evaluate and improve mitigation systems, including classifiers and detection pipelines across domains (e.g., biosecurity, cybersecurity, and emerging risk areas). Diagnose false positives and fa

Join Artefact Belgium: Help our clients in their AI transformations Are you an analytically minded consultant with a passion for data, AI, and business transformation? Artefact Belgium is looking for a Senior Consultant – Strategy & Data/AI to help our clients navigate their most complex strategic challenges at the intersection of business and technology. If you have 2-4 years of consulting or related experience, combined with a dual affinity for strategy and data, we'd love to hear from you. Who We Are Artefact is a next-generation consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in AI applications to help clients achieve tangible business impact. Our Belgium office advises clients on their most pressing strategic challenges : from AI strategy and governance to digital transformation roadmaps and new business model design. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth. Who You Are Strategic thinker: You break down complex business problems into clear, structured recommendations. You are comfortable operating at the C-level and translating ambiguity into actionable insights. Data-savvy consultant: You don't need to be a programmer, but you are genuinely curious about data and AI technologies and eager to deepen your expertise in this space. Project & Engagement Leader: You have a proven capacity to lead projects client side. You excel at managing expectations, defining project scope, and providing strategic guidance to technical teams to ensure delivery aligns with business objectives. Client-facing communicator: You build trusted relationships with senior stakeholders, present ideas with clarity, and adapt your message to both technical and non-technical audiences. Collaborative doer: You thrive in multidisciplinary teams, move fast, and take ownership of your work from day one. Ambitious and driven:

Perplexity is AI for people who expect more. This role brings that standard to how we understand our users, shape our product, and decide what to build next. We're looking for a data scientist who can turn product questions into clear decisions. You'll work across product, engineering, growth, design, and user research to understand user behavior, define metrics, design experiments, and identify the highest-leverage opportunities for the company. The data team is AI-native by default. We use AI to accelerate analysis, write and review code, explore hypotheses, document data, generate first drafts, and automate recurring workflows. But the core of the role is still judgment: asking the right question, choosing the right metric, designing the right test, and knowing when the answer is strong enough to act on. What You'll Do Develop product insights - analyze user behavior to inform product roadmap, accelerate adoption, and identify opportunities to improve the user experience. Design and analyze experiments - form hypotheses, define success metrics, run A/B tests, interpret results, and turn findings into product recommendations. Define the metrics that matter - build the metrics, guardrails, dashboards, and reporting workflows that help teams understand product and company health. Partner across functions - work closely with engineering, product, growth, design, and user research to answer ambiguous questions and drive decisions. Build reusable data assets - create tables, models, and documentation that make analysis faster, more consistent, and easier for humans and AI systems to use. Use AI to scale data science - automate recurring analysis, build AI-assisted workflows, improve documentation, and turn one-off investigations into repeatable systems. Tell the story clearly - communicate findings, assumptions, uncertainty, and recommendations in a way that helps teams make decisions. What We're Looking For 6+ years of experience as a data scientist or closely related

Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models to be exact) learn in similar ways to humans - by way of feedback. By labelling, ranking, auditing, and correcting text output, you will improve Large Language Model’s performance for iterations to come, thus having a lasting impact on Cohere’s tech. Cohere seeks dynamic and dedicated Data Annotators with exceptional Modern Standard German Writing, Translation, and Data Manipulation skill. Please Note: This is a part-time independent contractor position available within Canada . We seek candidates who are able to commit to 16 hours per week minimum at a 30 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 months contract. Performance incentives included! As a Data Annotation Specialist, you will: Label and Rank: Accurately label and rank machine learning data with advanced proficiency in German, ensuring data integrity and quality. Audit and Correct: Sc

Senior Data Architect – Wealth & Asset Management Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Design the blueprint. Architect the future of Wealth & Asset Management. Empower data transformation through modern, AI-enabled ways of working. The Role Capco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives across our Wealth & Asset Management clients. In this senior consulting role, you will guide wealth managers, asset managers, and private banks through large-scale data transformation journeys – defining enterprise data strategies, designing target architectures, and building scalable, cloud-based platforms that support advisor and client experiences, investment analytics, regulatory reporting, and operational efficiency. Alongside client delivery, you will contribute to evolving Capco’s Wealth & Asset Management data architecture propositions and thought leadership in modern, cloud-native data ecosystems, exploring how approved AI tools, including Generative AI and Agentic AI where appropriate, can improve insight, productivity, and delivery while maintaining human oversight and responsible AI guardrails. What You’ll Do Lead agile consulting engagements delivering modern data architecture and cloud transformation across Wealth & Asset Management, using approved AI-enabled workflows and automation where appropriate to improve delivery speed, quality, and insight. Define and implement scalable enterprise data strategies spanning programmes and business units, including canonical WAM data domains and models across client/household, portfolio/account, holdings/transactions, instruments and pricing, performance, and fees. Architect and deliver cloud-native data platforms (AWS, Azure, GCP) that enable advisor/client journeys and advanced investment analytics, including risk, performance and reporting, while defining integration patterns across core WAM platforms. Establish

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a Datacenter Operations Technician at SpaceXSI, you will be responsible for the health of our server and network infrastructure for Data Centers and Global Points of Presence. You will be responsible for our two most important data center operations metrics: mean time to detect (MTTD) and mean time to repair (MTTR). You are great at following directions, are a fast learner and are super attentive to details. You are accessible via cell phone and willing to get onsite when there are emergencies as needed. You understand all aspects of the equipment you are responsible for to drive efficiencies and optimizations where necessary to simplify and improve our server intake and repair processes. RESPONSIBILITIES: Report to the job site during initial construction and report back to the engineering team as required. Performing troubleshooting and monitoring of the servers and network in our data centers and global points of presence Rack and stack of data center network equipment Maintain Warehouse inventory and asset management using our internal application. Labeling and troubleshooting for fiber/optics cables Power supply cabling, installation, troubleshootin

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As a Senior Data Analyst, you will play a crucial role in our data-driven decision-making process. You will be responsible for turning raw data into actionable insights that will shape our product strategy and drive business growth. This role requires a deep understanding of product analytics, a strong technical skillset, and a forward-thinking mindset to leverage AI in your analysis. Responsibility : Design and build insightful and user-friendly dashboards and reports in Tableau to track key product metrics and performance indicators. Utilize Snowflake and dbt to build and maintain robust and scalable data models and pipelines for our analytics needs. Conduct in-depth product analysis to identify trends, patterns, and opportunities for product improvement and growth. Write complex SQL queries and use Python to perform advanced data analysis Collaborate with product managers, engineers, and other stakeholders to understand their data needs and provide them with the insights they need to make informed decisions. Proactively identify and explore new ways to leverage AI and machine learning to enhance our analytical capabilities and unlock new insights from our data. Communicate your findings and recommendations effectively to both technical and non-technical audiences. Qualifications: Proven experience as a Data Analyst or in a similar role, with a focus on product analytics. 3-5 years of experience. Expert-level proficiency in SQL. Strong experi

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission Zocdoc's mission is simple and hard: give power to the patient. We are the nation's leading digital healthcare marketplace — connecting millions of patients to the right care, faster than ever. The Data & Analytics team is at the center of how Zocdoc grows, evolves, and makes high-stakes decisions at scale. As a Sr/Staff Data Scientist you will be one of the most senior analytical voices at the company — a strategic thought partner to directors and senior leadership across Product, Marketing, Sales, Finance, Revenue, Operations, Customer Experience, and Platform. You'll work on some of Zocdoc's most complex and ambiguous business problems — where the question itself isn't always defined, and the right method doesn't fit neatly into a playbook. You'll lead the analytical strategy, apply rigorous experimentation and causal inference frameworks at scale, and turn structured thinking into decisions that shape how Zocdoc grows. This is a high-visibility, high-impact individual contributor role. Success here is measured not just by the q

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Driver Earnings team at Lyft is responsible for managing our suite of driver earnings products, driving top business goals around financial metrics and marketplace performance. The team develops and improves automation & execution of driver earnings products, develops new earnings products, and manages financial performance of these products to manage the growth of the business. We are looking for an analyst to join the team that is responsible for working with cross-functional stakeholders to analyze and improve existing earnings products and manage the products’ financial outcomes within the broader Marketplace organization. You will influence existing and future strategy with your data analysis, insights, and storytelling to deliver strategic recommendations on experimentation and product improvements. We’re looking for a data & process-driven individual who has extraordinary attention to detail and a track record of analytical problem-solving. Responsibilities: Support marketplace operations to provide world-class analysis, product recommendations, and reporting to stakeholders. Become an expert in marketplace trends and support weekly reporting structures for the Rideshare organization. Develop domain-specific subject matter expertise in our lever portfolio and support cross-functional initiatives to improve existing products and develop new ones. Analyze marketplace product & financial levers and provide cross-functional teams with actionable insights on improvements and problem areas. Operate within Rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities. Prepare regular business reviews for leadership, highlighting key areas of focus. Work with stakeholders and other teams to track, report, and r

Data Analytics – Senior Consultant Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Unlock insights. Empower decisions. Shape the future of financial services. The Role We're expanding our UK Data Practice and looking for talented Data Analytics Consultants to join our award-winning team. You'll lead cutting-edge data transformation programmes for top-tier Financial Services institutions, helping clients unlock value, improve operational efficiency and gain a competitive advantage through data-driven decision-making. You'll also embrace AI-enabled ways of working, using approved AI tools where appropriate to enhance analysis, accelerate delivery and improve the quality of client outcomes while applying sound judgement and responsible AI practices. What You'll Do Lead and deliver complex data analytics initiatives across major Financial Services clients, translating data into meaningful business insights and measurable outcomes. Apply predictive modelling, segmentation and risk analytics to solve client challenges, leveraging AI-enabled analytical techniques where appropriate to accelerate insight generation and support better decision-making. Design and develop dashboards using Power BI, Qlik or Tableau, delivering intuitive visualisations that enable business stakeholders to act with confidence. Interpret large, complex datasets and provide actionable recommendations through advanced analytical techniques, combining technical expertise with critical thinking and human judgement. Support the growth of Capco's UK and Global Data Practice by contributing to innovation across analytics, AI and machine learning, sharing knowledge and encouraging modern, AI-enabled delivery approaches. What We're Looking For Strong ability to acquire, manipulate, analyse and interpret large volumes of complex data to solve business problems. Experience delivering predictive and diagnostic analytics across areas such as customer lifetime value, risk scorin

Lead Data Analytics Consultant – Principal Consultant Location : London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Champion innovation. Grow capabilities. Deliver real-world outcomes. The Role As a Data Analytics Principal Consultant, you'll take a central role in supporting the continued growth of Capco's UK Data Practice. You'll lead complex data and analytics programmes across the Financial Services sector while mentoring talent, guiding clients and driving innovation across Cloud, AI and Machine Learning. You'll champion AI-enabled ways of working, helping clients and teams adopt modern approaches that improve productivity, accelerate insight and deliver measurable business outcomes, while ensuring responsible AI practices and appropriate human oversight. What You'll Do Lead the delivery of complex data transformation and analytics programmes across leading Financial Services organisations, helping clients unlock value through modern data and AI capabilities. Provide leadership and mentoring to data consultants, fostering technical excellence, continuous learning and the effective adoption of AI-enabled tools and modern delivery practices. Build trusted client relationships, shape data and AI propositions, and contribute to business development activities by identifying opportunities to deliver measurable business value. Engage with technical and non-technical stakeholders to promote data literacy, AI adoption and data-driven decision-making, translating complex concepts into clear business outcomes. Represent Capco's Data Practice externally through industry engagement, partnerships and thought leadership, contributing to the evolution of Capco's data and AI offerings. What We're Looking For Minimum five years' experience in consulting or a senior leadership role delivering complex data and analytics initiatives within Financial Services. Strong expertise across data and analytics dis ciplines, including data quality, governance, business

Data & AI Strategy Consultant – Manager/Senior Manager Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Craft bold strategies. Inspire data-driven transformation. Lead the AI future. The Role Join Capco's Data Strategy & Advisory team as a Manager or Senior Manager, shaping enterprise-level AI and data strategies for the world's leading financial institutions. This is a high-impact role for strategic thinkers passionate about the intersection of data, AI and business value. You will guide clients in envisioning and realising AI-driven competitive advantage—beyond tooling and beyond pipelines—while helping organisations adopt AI-enabled ways of working responsibly, balancing innovation with governance, human judgement and measurable business outcomes. What You'll Do Partner with C-suite clients to define strategic AI ambitions, aligning enterprise data and AI capabilities with business priorities, competitive differentiation and long-term value creation. Act as a subject matter expert on emerging AI and data technologies, advising clients on how to responsibly adopt innovations—including Generative AI, Agentic AI and intelligent automation—to accelerate business outcomes. Lead the definition of enterprise data and AI strategies, identifying high-value use cases and translating them into practical roadmaps that balance opportunity, risk, governance and organisational readiness. Facilitate executive workshops, visioning sessions and strategic decision-making, developing compelling board-level narratives and investment cases while using AI-enabled insights and approved AI tools to enhance analysis and strategic recommendations. Collaborate across Capco's Engineering, Architecture, Risk, Product, Innovation and Data teams to ensure strategic recommendations are actionable, commercially viable and aligned with responsible AI principles. Beyond client delivery, you will also: Contribute to Capco's perspective on how AI is reshaping