Enterprise Analytics And Reporting Manager Jobs

About Sigmoid Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best-in-class end-to-end data value chain capabilities spanning Data Science, Data Engineering, and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team-first mindset. You'll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices: New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. Role: Associate Director - Delivery About the Role You will lead delivery for large-scale Data Engineering programs, working closely with clients to architect and drive execution of modern data platforms - data pipelines, cloud migrations, lakehouse implementations, and real-time data processing solutions. You will own end-to-end delivery governance across multiple engagements, act as a senior escalation point for clients, and provide technical and delivery leadership to teams building enterprise-grade data engineering solutions. If you enjoy operating at the intersection of technical depth in Data Engineering and delivery leadership, we would like to talk to you. Required Skills & Competencies 15-18 years of experience in Project Delivery, Client Engagement, or Data Engineering Delivery Management, with a significant portion focused on Data Engineering programs. Strong hands-on exposure to Data Engineering tools and technologies, including cloud data platforms Proven experience in Analytics/Consulting/IT Services, managing complex Data Engineering project execution, architecture reviews, and governance. Exposure to US/Global clients, with experience handling client escalations. Ability to manage multiple Data Engineering project teams and pods, mentor Delivery/Engineering Managers and technical leads, and drive engineering process improveme

The Business Excellence Head will act as the bridge between business stakeholders and digital & technology teams, driving the vision and execution of data, analytics, and digital & AI solutions in business. This role ensures that enterprise data platforms, analytics solutions, and digital & AI initiatives deliver measurable business value and align with strategic objectives. Source: Adani Group | Job ID: 50580

About the job Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow in the US, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel. We have 2000 employees across 36 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe. Find out more at artefact.com . What you will be doing Artefact is looking for a Senior AI & Data Scientist: a scientist who owns models end to end, from problem framing thr

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. We are accepting applications for this position until 10/16/2026 Position Overview: At Freddie Mac, you will have meaningful work to help build a better housing finance system and support homeownership and rental housing opportunities across the nation. Our internship and graduate programs provide opportunities to tackle complex challenges, contribute to strategic initiatives, and build valuable relationships with industry professionals. As a Quantitative Risk Management Intern within Enterprise Risk Management (ERM), you will apply advanced analytical, technical, and quantitative skills to support risk management activities at one of the nation's largest financial institutions. You will gain hands-on experience working on real-world projects, collaborating across teams, and leveraging emerging technologies – including artificial intelligence and automation—to enhance risk management practices and business outcomes. Our Impact: Enterprise Risk Management (ERM) helps build and maintain a strong, effective, and efficient risk management framework across Freddie Mac. We provide independent oversight and assessment of financial and non-financial risks while promoting a culture of accountability, innovation, and sound risk management. Our quantitative teams leverage advanced analytics, data science, modeling, automation, and emerging technologies to support enterprise-wide decision-making and risk oversight. As AI and automation continue to transform the financial services industry, our teams p

Use Your Power for Purpose Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions. With colleagues across the globe, GCA's rigorous analytical expertise is depended on as the compass and decision support for the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including data science, market research, digital analytics, finance, and consulting. As a team, we partner to turn data into meaningful insights that will have a direct impact on patients' lives and the future of Pfizer as a data-driven organization. The Data Science Manager is accountable for delivering data science support across the commercial business. As a strategic partner to US Commercial teams, this person will develop and implement models and data science-derived insights that influence brands’ strategic priorities. These responsibilities will include driving the execution and interpretation AI/ML models, framing problems, and shaping solutions. This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are constantly supporting business transformation through their proactive thought leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways. What You Will Achieve Commercial Data Science and Insights Provide data science and insights to US Commercial teams to drive brand tactic decisions Assist to frame, investigate, and translate complex data-informed models, and answer key business questions related to the identification and evaluation of brand strategies a

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . About the team Dialpad's Contact Center QA team owns the quality of the AI-driven services behind our customer engagement platform. We validate that complex features like AI Routing, Digital Agents, and real-time Analytics are genuinely enterprise-grade in scale, reliability, and performance. And we go further, working cross-fun

Become a part of our caring community The Principal Storage Engineer is a senior technical leader responsible for defining and advancing the enterprise storage architecture and long-term data infrastructure strategy. This role establishes standards, develops five-year technology roadmaps, and designs secure, resilient, scalable, and cost-effective storage platforms for business-critical, analytics, and artificial intelligence workloads. The engineer serves as the organization’s storage subject-matter expert and partners with infrastructure, cloud, security, data, application, architecture, finance, and vendor teams to translate business requirements into sustainable technology capabilities. The Principal Storage Engineer is a senior technical leader responsible for defining and advancing the enterprise storage architecture and long-term data infrastructure strategy. This role establishes standards, develops five-year technology roadmaps, and designs secure, resilient, scalable, and cost-effective storage platforms for business-critical, analytics, and artificial intelligence workloads. The engineer serves as the organization’s storage subject-matter expert and partners with infrastructure, cloud, security, data, application, architecture, finance, and vendor teams to translate business requirements into sustainable technology capabilities. Key Responsibilities Define the enterprise storage vision, reference architecture, engineering standards, and five-year roadmap across block, file, object, software-defined, and hybrid storage services. Lead architecture decisions for on-premises AI infrastructure, including high-throughput and low-latency storage fo

About The Role & Team Amplitude is the leading AI analytics platform, and our ability to deliver measurable customer outcomes quickly is a key part of how we keep that lead. The Customer FDE (Forward Deployed Engineering) team sits at the intersection of engineering, product, and customer success — owning the technical delivery that takes validated products from co-development and implements them across enterprise customers. As a Customer Forward Deployed Engineer, you will own end-to-end technical delivery for enterprise customer implementations, from sales engagement through post-deployment validation. You'll work directly in Amplitude's product codebase, submitting PRs, shipping customer-specific solutions, and building reusable patterns that make every successive engagement faster. This is not a traditional support or solutions role. Customer FDEs are engineers first who partner closely with Sales, Customer Success, Product, and Engineering to turn customer needs into working software. The right person thrives in ambiguity, learns new domains quickly, and cares as much about the customer's outcome as about technical elegance. As a Customer Forward Deployed Engineer, you will: Own enterprise implementations end-to-end — engage during sales to map customer needs to capabilities, scope implementation plans, and deliver through post-deployment validation with measurable customer outcomes Work directly in the product codebase — submit PRs, test, and ship customer-specific solutions without requiring constant oversight; over time, the gap between "what we built" and "what the customer needs" keeps shrinking because you're the one closing it Ship early, ship often, and gather feedback — treat every customer interaction as an opportunity to validate your approach and course-correct quickly Build reusable patterns and playbooks — when you solve something once, make sure the next person doesn't have to solve it again; identify and document implementation patterns that

About The Role & Team Amplitude is the digital analytics platform built for the AI era. The world's best product teams use Amplitude to sense how customers and, increasingly, AI agents experience their products through Amplitude Analytics, Session Replay, and Agent Analytics, all powered by one of the world's largest behavioral datasets; decide what to ship with Statsig's experimentation and feature management; and act on those insights with Wave, our proactive product agent. You'll be selling the platform at the center of how modern digital and AI products get built, in one of the fastest-growing digital markets in the world. Join our Sales team of Account Executives who know software sales and how to identify and win opportunities with some of the fastest growing and most influential digital product companies. We want the best of the best, and we make sure that top performers are rewarded. This role is a launchpad: you'll own a territory, run full sales cycles end to end, and grow upmarket as the segment grows. As an Emerging Enterprise AE, you will: Create new opportunities in the emerging enterprise segment through prospecting, networking, etc. Primary focus is to land new logos in India. Become knowledgeable across the full Amplitude platform (Analytics, Session Replay, Agent Analytics, Statsig, and Wave) and conduct discovery calls and presentations to prospective customers. Attempt new sales methods through fearlessness and willingness to take risks. Effectively sell the value of Amplitude to key stakeholders, from product, engineering, and data leaders to business buyers, while navigating a multi-threaded sales cycle. Have responsibility for expanding existing customers (working with a Customer Success team) and landing new logos. Lead territory building initiatives in the emerging enterprise segment by working with technology partners, solutions partners, product management networking groups and regional events to drive awareness, educate the market, cr

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We’re hiring a highly influential product analytics leader who can turn ambiguous questions into sharp insight, scalable measurement, and recommendations that directly shape what we build. This person will partner closely with Product, Engineering, Design, and Growth to raise the bar on decision quality and establish a more AI-native analytics operating model. Mission Drive the product insight agenda by helping ClickUp make faster, smarter product decisions through rigorous analysis, strong product judgment, and AI-enabled analytics workflows. What You'll Do Own the product analytics agenda across product usage, activation, feature adoption, retention, and expansion, and translate open-ended business questions into structured analyses and clear recommendations Partner with Product, Engineering, and Design to define success metrics early, improve instrumentation quality, and ensure important product surfaces are measurable from launch Build reusable analysis frameworks, semantic layers, metric definitions, and self-serve resources that help product teams answer routine questions faster and more consistently Apply AI-first methods across the analytics workflow, using large language models, coding agents, and automation for tasks like query drafting, QA, validation, documentation, and first-pass synthesis while keeping human judgment at the center of final recommendations Design and interpret experiments, observational analyses, and trend investigations, including situations where data is incomplete or traditional experimentation is not feasible Surface meaningful patterns in behavioral, subscription, and

The Internal Data team is on a mission to power data-informed decisions and applications across MongoDB, oriented around the business areas of Customer, Product, Finance, and Employee. We build and scale the data products MongoDB employees rely on every day, including data pipelines, datasets, analytics, APIs, ML models, and frameworks that form the backbone of our internal data ecosystem. We treat data as a product. That means applying the same rigor, user focus, and outcome orientation to internal data that MongoDB brings to its external-facing platform and products. As MongoDB scales, our financial data footprint has grown exponentially. You will inherit the challenge of providing the focus and product management needed to transform complex, high-volume consumption data into clean, compliant, and near-real-time financial products; moving our Finance teams away from manual workflows and toward automated, AI-driven forecasting. We are looking to speak to candidates who are based in NYC, Austin, Palo Alto, or San Francisco for our hybrid working model. What You'll Do Drive the end-to-end product vision, strategy, and roadmap for critical data products that power company-wide financial planning, forecasting, spend efficiency, and operational rigor Navigate ambiguity and shape requirements by partnering deeply with Finance leadership to unpack complex, unformed business problems. Proactively translate high-level financial strategies into concrete data requirements, technical frameworks, and user stories Lead cross-functional squads to design, build, and deploy robust pipelines, datasets, dashboards, APIs, and frameworks. Champion underlying data management tools that serve as the foundational engine for AI and BI across the enterprise Act as the ultimate advocate for the voice of the data consumer. Proactively audit user workflows, enforce data trust, and relentlessly push for the right strategic technical solutions over temporary, ad-hoc fixes Ruthlessly prioritize t

About the role As a Pricing Strategist focused on GTM, you will help shape pricing strategy for B2B enterprise customers across our product portfolio. Working within Finance and partnering with GTM, Sales, and Product, you will focus on pricing analytics, price performance, and the effectiveness of credit programs while contributing to broader commercial strategy. In this role, you will Build regular pricing-performance reviews, analyze discounting and concessions, and turn findings into better pricing guidance. Develop commercial strategies and pricing programs for customer segments such as education, startups, and government. Define objectives and success measures for credit programs and promotions, and evaluate their return on investment. Translate segment goals and product pricing strategy into scalable pricing frameworks and commercial structures. Partner on strategic enterprise deals to align commercial proposals with sound deal economics and pricing strategy. You might thrive in this role if you Approach problems from first principles, identify root causes, and develop clear options for stakeholders. Work effectively through ambiguity and differing perspectives. Understand how sales organizations operate and collaborate well across GTM strategy, Finance, and Product. Bring relevant experience from consulting, strategy and operations, or pricing, particularly work involving analytical teams. Experience with pricing analytics, pricing frameworks, discounting guardrails, or new-product pricing is helpful, but a strictly pricing-specific background is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we mu

Are you a person who likes to work in a fast-paced organization? NVIDIA is the world leader in Visual Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics and HPC/Cloud Datacenters; in addition to our traditional OEM business. We are well positioned as the ‘AI Computing Company’, and our GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and driving autonomous vehicles. We have some of the most forward-thinking and talented people on the planet working for us. If you're forward-thinking, hardworking, driven and if working with extraordinary people across countries sounds interesting, this job is for you. We are now looking for a Human Resources Business Partner to provide HR support onsite in Santa Clara, CA for our Worldwide Field Organization in a dynamic and collaborative environment. This is a global organization, and we are looking for someone to be passionate about supporting and building strategies to enable NVIDIA to achieve success. You’ll partner with a cross-functional group of subject matter experts to design and execute strategies for how we staff, onboard, develop, motivate, retain and organize work. You will need excellent communication skills, critical thinking and planning ability, and the agility to function in a fast paced and innovative environment. What you'll be doing: This position will be an integral enabler of the mission of our Field organization. In this position you will work with the senior leaders and leadership teams within NVIDIA organizations to develop and execute the HR strategies that champion organizational and people effectiveness. You will think strategically as well as roll up your sleeves and dive deep into practical application. You must understand business priorities and translate them into an HR ag

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Compensation Analyst III (Senior) – Equity Administration & Global Rewards Architect Appian's global equity and total rewards strategy while modernizing plan design for high-scale enterprise growth. Location: Chennai, India | Work Model: Hybrid About the Team The People Team at Appian fuels global growth by attracting, rewarding, and retaining world-class talent. In an industry powered by AI-Powered Process Automation , our team builds data-driven compensation strategies that sustain competitive market advantage. We partner directly with executive leadership to champion pay equity, optimize total rewards platforms, and drive scalable governance across global offices. The Opportunity As Appian accelerates its international expansion, modernizing our equity architecture and total rewards framework is critical. As Compensation Analyst III, you will act as a core global partner based out of our Chennai tech hub. You won't just analyze data; you will shape global pay equity initiatives, architect scalable equity management structures, and directly manage equity plan administration using E*TRADE/Morgan Stanley . This role offers a unique opportunity to build scalable compensation frameworks in a fast-paced environment backed by enterprise-grade stability. What You’ll Do Modernize Equity Plan Architecture: Lead global equity plan governance and modernize grant structures, option/RSU execution lifecycles, and cap-table administration using E*TRADE/Morgan Stanley . Drive Executive Insights & Strategic Analytics: Oversee global HR and compensation intellige

About the role Every enterprise is racing to build AI-powered apps and agents but speed without the right runtime creates chaos, not transformation. Sigma is the AI Runtime Environment that makes those apps governable, scalable, and real, and the Sr. PMM, Sigma Apps will play a critical role in developing and executing the go-to-market narrative and strategy for Sigma Apps. This role requires someone who understands both sides of the enterprise software conversation: the IT leaders and data engineers who evaluate and govern application infrastructure, and the line-of-business owners who care about outcomes, speed, and usability. You'll translate Sigma's application development capabilities into stories that resonate with both and create the materials the sales team needs to tell those stories in the field. What you'll do Develop and maintain positioning and messaging for Sigma Apps including no-code app building, AI-assisted workflow automation, embedded analytics, and apps built with external coding agents working closely with the Director of Product Marketing, Apps and the Product team. Support new feature launches and capability expansions, coordinating across product, design, marketing, and sales to bring new capabilities to market clearly and effectively. Work closely with Product and Engineering to deeply understand and influence the Sigma Apps roadmap bringing market, customer, and competitive insights that help shape and prioritize it. Partner with sales reps and the Enablement team to understand what's working in the field and use those insights to sharpen messaging, update battlecards, and improve enablement materials. Partner with the Enablement team to build and maintain sales enablement content solution briefs, pitch decks, use case guides, competitive comparisons, and discovery question frameworks that help the field confidently sell Sigma Apps Build and maintain competitive analysis and battlecards for the no-code/low-code, embedded anal