Data Center Strategy Jobs

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Staff Data Analyst will join the Block Compliance Analytics team chartered to put data at the center of the Compliance organization. You have a proven track record in the Financial Crimes and AML space, and in this role you will develop strategies and lead key workstreams to deliver actionable analytics to leaders throughout the Block business and tell the story of our Compliance program to regulators and external parties. Focused on quantifying compliance risks and driving effectiveness, you will enable Block to redefine the world's relationship with money. You Will Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis Connect the dots between regulatory expectations, commitments, and the Compliance and Product roadmaps in order to influence strategy Harness raw data to educate internal and external partners on the impact of new regulation, policies, or environmental changes to our compliance program and the Block platforms. Collaborate with partners from legal to engineering to inform strategic builds of essential compliance program elements Establish yourself as a leader in the organization, by connecting insights to action through expert communication and cross-functional alignment Leverage your subject matter expertise to educate, coach and influence in and out of

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Staff Data Analyst will join the Block Compliance Analytics team chartered to put data at the center of the Compliance organization. You have a proven track record in the Financial Crimes and AML space, and in this role you will develop strategies and lead key workstreams to deliver actionable analytics to leaders throughout the Block business and tell the story of our Compliance program to regulators and external parties. Focused on quantifying compliance risks and driving effectiveness, you will enable Block to redefine the world's relationship with money. You Will Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis Connect the dots between regulatory expectations, commitments, and the Compliance and Product roadmaps in order to influence strategy Harness raw data to educate internal and external partners on the impact of new regulation, policies, or environmental changes to our compliance program and the Block platforms. Collaborate with partners from legal to engineering to inform strategic builds of essential compliance program elements Establish yourself as a leader in the organization, by connecting insights to action through expert communication and cross-functional alignment Leverage your subject matter expertise to educate, coach and influence in and out of

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 is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve performing rigorous product deep dives, identifying opportunities for product enhancements, and measuring the impact of new features. The Global Growth team is at the forefront of innovation at Lyft, focused on expanding Lyft beyond North American rideshare’s core products. This includes our premium Luxury modes and Livery drivers, building a unified Lyft presence internationally, and enabling Autonomous Vehicles (AVs) domestically and abroad. These teams are at the center of innovation and the future of Lyft’s growth, and this role would be directly shaping the strategic roadmap for these crucial areas. As an Analytics Lead, you will collaborate with our world class team of engineers, product managers, and designers to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product and marketplace changes, and is comfortable working with a highly cross functional team. This role will help define Lyft’s strategy for growing luxury modes, setting the strategic roadmap for pricing, driver pay, and product development. In this role, you will help us tackle problems such as: How should we be pricing our premium Luxury products? Who are our current Luxury riders and what segment is most likely to grow our rider base? How can we best merchandise Luxury rideshare products within the Lyft app? What product features or app changes would improve the rider experience and motivate riders to take more Luxury rides? How do coupons and incentives motivate riders and drivers in premium segments? What

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Finance & Strategy Data Science team is a specialized Data Science group within Robinhood’s Finance & Strategy organization. Our mission is to use data, advanced analytics, machine learning, and AI to generate actionable insights, improve decision-making, and help Robinhood better understand and optimize business performance. We partner closely with teams across Robinhood including Finance, Product, Data, Engineering, Marketing, Research, and Operations. Our work spans customer and business analytics, benchmarking, forecasting, measurement frameworks, and AI-powered analytics, helping leaders make faster, more informed decisions and identify opportunities to improve performance across the company. As the Head of AI and Data Science for Finance & Strategy, you will lead and develop a high-performing team of data scientists and analytics engineers, setting the team’s technical direction and priorities while partnering with leaders across Robinhood to turn complex business questions into actionable insights. You will oversee strategic analytics, measurement and benchmarking frameworks, deep-dive analyses, and scalable data science and AI solutions. You will play

Who/What is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 2,000+ consultants, data scientists, and engineers across 26 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. At our German offices, we are on a rapid growth trajectory, advising leading national and international clients cross-industry on how to unlock the full potential of their data, build scalable data architectures, and implement cutting-edge AI solutions. As a Senior Consultant (m/f/d) Data & AI Strategy , you will sit at the center of this mission. You won't just deliver static slides; you will bridge the gap between technical possibilities and business imperatives, guiding clients from a focused short-term engagement with Mittelstand manufacturers to multi-phase AI transformations with enterprises. In this role, you will take ownership of cross-functional workstreams, drive data-driven decision-making, and actively shape the digital future of our clients. What you will do: Client advisory & strategy: Work closely with (international) clients to understand their business needs and translate them into data-driven recommendations that support strategic decision-making and business transformation. Data & analysis: Collect, synthesise and iterate data to create actionable insights. You work with a modern, AI-native toolstack - from LLM-powered environments (e.g. Claude, Gemini, ChatGPT) and agentic workflow tools (e.g. n8n, Lovable) to coding assistants and automation platforms - and communicate findings clearly to both technical and non-technical stakeholders. Familiarity with SQL or Python remains a plus, but the ability to leverage AI tools to accelerate analysis and delivery is what we value most. Projec

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. The Gong Center of Excellence (CoE), also known as Gong on Gong and Customer Zero, is Gong's internal proof point that our own product runs our revenue engine. The CoE sits within GTM Ops and the AI Acceleration team and owns instance governance, workflow design, product feedback, and first adoption of every new Gong capability. This role reports to the CoE Lead and takes ownership of specific workstreams across the team's full scope, from cleaning up and governing our instance to building the agents and processes that become referenceable stories for prospects and customers. This is a builder and operator role. You will run point on projects end to end: scoping, building, testing, documenting, and handing off. You will work directly with Sales, Post-Sales, Marketing, Field Operations, Product, and Engineering to turn one-off requests into scalab

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As a member of our Sales Strategy and Operations team, you will have an integral role in driving the insights, operations, and strategy that enables Sales to run better, faster, and smarter. Sales Strategy and Operations is an excellent platform to learn how a business really runs. Prior candidates that our leadership team has worked with have gone on to be VPs and COOs of companies. You will be joining the Sales Strategy and Operations team as a high impact contributor, gaining exposure to a wide variety of challenges, processes, and data that makes the engine of this Sales organization hum. As an Associate on the team, you will lead cross-functional initiatives from ideation to analytics to recommendations to drive impact across the sales organization. Specifically, you’ll help the Data team connect with sales leaders ab

About the Team OpenAI’s Pricing team sits at the center of product, go-to-market, finance, and strategy. We define how OpenAI packages, prices, and scales access to our products across consumer, SMB, and enterprise customers, turning deeply technical product usage and market signal into company-level decisions. We’re looking for a senior Data Scientist to be the first dedicated data science hire on the Pricing team. This is a rare zero-to-one role with direct exposure to OpenAI’s CFO, Head of Pricing, and senior leaders across Product and GTM. You will help build the analytical foundation for pricing at OpenAI, shape executive decisions, and define what excellent pricing data science looks like. About the Role As a founding Data Scientist for Pricing, you will design the analyses, models, experiments, and decision frameworks that guide pricing strategy across OpenAI’s business. You’ll work side-by-side with the CFO, Head of Pricing, and senior leaders across Product and GTM on ambiguous, high-leverage questions where simple reporting is not enough, translating customer behavior, product usage, revenue outcomes, and market dynamics into clear recommendations. This role combines hands-on technical depth with executive-ready storytelling. You should be excited to build from first principles, operate with high independence, and influence decisions that shape how OpenAI grows and serves customers around the world. In This Role, You Will Serve as a senior analytical partner to the CFO, Head of Pricing, Product, and GTM leaders on pricing and monetization decisions. Build the analytical foundation for pricing across consumer, SMB, and enterprise segments, from exploratory analysis to repeatable decision systems. Design and execute analyses that connect customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy. Develop models, algorithms, experiments, and decision frameworks for complex pricing, packaging, discounting, and willingness-t

About Us: Blockworks is an information platform that sits at the center of the crypto industry. We transform raw, complex data and facts into actionable research, trusted alpha-driven insights, and world-class events. The result is transparency and confidence. Blockworks connects investors and businesses in onchain capital markets. We give businesses a platform to earn trust and provide investors with the information they need to underwrite the asset class. Who You Are: Software engineering is your passion, and you have special talents focused on data architecture, design, and API development. You are a player-coach and a natural leader who understands the technical and human elements that go into great software design. You have a results-oriented attitude and a passion for delivering flawless releases and developing digital product pipelines (CI/CD pipelines). You have a proven track record facilitating engineering teams to increase productivity and quality. You're excited at the possibility of helping design and develop our data pipelines as well as leading our data-related projects and strategies for Blockwork's suite of projects. You love moving quickly in a fast-paced start-up, but you also bring intentionality, sustainability and scalability to your approach as an engineer. What You’ll Do: As our Senior Data Engineer , you will be directly responsible for leading the creation and execution of our data models and strategies that feed our products. You'll work collaboratively with other members of the engineering team to design, develop, implement, and evolve our data pipeline and approaches. Every day will look a little different, but in general, you will do things like: Own Data Sourcing Pipelines: You'll be responsible for helping to architect our data warehousing, ingestion and sourcing strategy, working with multiple SDKs to aggregate data from various sources into Blockwork's own data warehouse. Design and Implement ETL Solutions: You'll be responsible for

Product · New York, NY (Remote-Friendly) About the Role YipitData is making one of its most ambitious Product bets: building an AI-powered product that transforms how clients interact with data. This initiative sits at the center of our product strategy and represents a fundamentally new way for customers to access and derive value from our data. As a Senior Data Product Analyst, you will play a pivotal role in making that vision a reality. You will own the path from raw alternative data to trusted, product ready intelligence—determining how complex datasets are structured, interpreted, and ultimately surfaced to customers. This role sits at the intersection of data, product, and AI. You will work with diverse alternative datasets and develop the methodologies that transform those signals into reliable business insights. You will also serve as a key authority on how the product uses data, helping define what conclusions are methodologically sound, what questions can be answered confidently, and where appropriate guardrails should exist. Success in this role requires both analytical rigor and a builder's mindset. You'll thrive in ambiguity, tackle problems without established playbooks, and help shape the future of one of YipitData's most strategic products. Your work will directly influence how hundreds of customers interact with our data and how this product scales over time. What You'll Do Data Source Ownership & Methodology Design Own the translation of raw alternative datasets into scalable, AIready data products. Design methodologies that answer high-value business questions, determining how disparate datasets should be combined, normalized, and interpreted. Partner closely with Data Engineering to shape source data pipelines into clean, well-structured datasets with clear definitions and documentation. Develop deep expertise in the strengths, limitations, biases, and coverage characteristics of key datasets and ensure those nuances are reflected in downstr

Role Description Dropbox is looking for a Director of Media to own our total media investment—performance and brand—under a single leader. This leader will build a unified media strategy that brings performance marketing and brand investments together into one investment thesis and one operating model. They will own the media portfolio end-to-end, from upper-funnel brand campaigns through paid search, paid social, programmatic, mobile, and emerging channels, making investment tradeoffs as business priorities evolve. The role also owns how the media organization operates, balancing in-house expertise, agency partnerships, and specialist support to maximize speed, quality, and impact. The ideal candidate has worked on both sides of the industry—building media expertise at an agency before leading media inside a technology or high-growth company. They understand what great agency partnerships look like while also knowing how to build world-class internal capabilities. This role sits at the center of Dropbox's growth strategy, connecting brand, performance marketing, Product Growth, Sales, and Marketing Data Science to drive measurable business outcomes. Responsibilities Unified Media Strategy. Build and own Dropbox's media strategy across brand and performance. Set the annual and quarterly investment thesis, define the channel portfolio, and make the tradeoff decisions on where spend moves and why. Total Budget Ownership. Manage Dropbox's full media investment across paid search, paid social, programmatic, display, video, mobile, affiliate, and brand channels. Own planning, forecasting, pacing, and in-quarter reallocation against efficiency and growth targets. Brand and Performance Integration. Align reach, frequency, creative strategy, and channel mix so brand and performance investment reinforce each other rather than compete. Partner closely with the Brand organization, which owns brand positioning and creative direction, to translate brand strategy into

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

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. The team owns top-of-funnel strategy and operations for the Upmarket Sales organization, supporting both AEs and SDRs. We shape and operate how leads and accounts are deployed across the field through lead routing and management, AE account pairing, territory management, and account assignment strategy. This role sits at the center of how our Upmarket Sales organization goes to market and creates pipeline. You’ll own both the day-to-day operations and the evolution of our Top-of-Funnel processes—working hands-on in the details while shaping the strategy for how we deploy AEs and SDRs. Your work will ensure the right coverage, processes, and workflows are in place to improve pipeline generation, seller productivity, and the overall efficiency of our GTM motion. What you’ll do as a Senior GTM Strategy & Operations Manager at Vanta: Own the day-to-day execution of Top-of-Funnel operations, including responding to field requests and managing the processes, data, systems, and business logic underlying lead-to-account, territory, and AE coverage decisions. This is a hands-on role that balances ongoing operational needs with larger strategic initiatives and process improvements. Own territory strategy and ongoing territory management, ensuring AEs and SDRs have high-quality, balanced coverage and identifying opportunities to improve how accounts and selling capacity are deployed. Design and optimize AE coverage and account pairing strategies to improve how our sellers work together to generate and progress pipeline. Identify and lead Top-of-Funnel initiatives that improve pipeline coverage, territory quality, seller productivity,

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. With data and advanced analytics at the center of our people strategy, we are seeking an analytically driven People Analytics professional to join our People Analytics team. In this role, you will develop, optimize, and enhance data-driven insights across the employee lifecycle. You will partner closely with stakeholders across HR, Talent Acquisition, Finance, IT, and Legal to deliver analytics that support strategic workforce planning, improve employee experiences, and enable informed business decisions. You will apply advanced analytics, predictive modeling, statistical techniques, and emerging AI capabilities to ¯solve complex workforce challenges. This role is ideal for someone who enjoys transforming data into actionable insights, collaborating across functions, and continuously advancing modern analytics practices within HR. Essential Duties and Responsibilities People Analytics & Insights Analyze and report on the employee lifecycle—from hiring and onboarding through development and exit—by developing dashboards and reports that provide insights into hiring, attrition, engagement, performance, promotions, compensation, headcount, and organizational health. Partner with People Business Partners, Talent Acquisition, Compensation, Finance, and other Centers of Excellence to deliver analytics supporting quarterly business reviews, workforce planning, and organizational effectiveness initiatives. Design scalable reporting solutions and self-servi

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers, sharp problem-solvers, and builders who are wired to make an impact! Robinhood isn’t a place for complacency—it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards! We're looking for an exceptional Benchmarking & Market Research Strategy Intern to help shape the future of our core platforms, products, and customer experiences in Singapore and across the APAC region. FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale. In this role, you will operate as an external competitive analyst and strategic advisor, analyzing detailed market mechanics and competitive brokerage activities to identify untapped market opportunities that directly inform our regional growth. This role is based in our Singapore office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. What you'll do Conduct deep-dive industry benchmarking and competitive market research to identify untapped business opportunities and customer trends in Singapore. Research external brokerage activities, customer dynamics, and regulatory landscapes to help inform key strategic decisions for regional leadership. Leverage diverse data sour