Dataiku jobs

Enterprise Data Architect (Operations and Finance) Florham Park, NJ, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Data Domain Architect, Operations and Finance is responsible for defining and driving the data and AI architecture strategy that enables business outcomes across AbbVie Operations and Finance. This role serves as a trusted advisor to business and technology leaders, translating business strategy into actionable architecture roadmaps, reusable data product patterns, and AI-ready capabilities. This position requires deep experience in enterprise architecture, cloud data platforms, analytics, AI/ML enablement, and business process understanding. The role will provide strategic direction across AWS, SAP BDC, Agentic AI, AI SageMaker Studio, Dataiku, and associated data and integration technologies. The architect will also direct and guide data and AI engineers on architectural principles, future-state vision, and delivery roadmaps. Key Responsibilities Define and communicate the architecture vision and strategy for the Operations and Finance data domain. Develop and maintain multi-year roadmaps aligned to business strategy, transformation priorities, and enterprise capabilities. Establish target-state architecture, architecture principles, and reusable patterns for data, analytics, and AI

Data Engineer, Operations Finance Sunnyvale, United States of America The Operations Finance team is looking for a passionate and highly motivated Data Engineer to drive our financial data platform forward. We work with logistics and supply-chain business to understand current and future processes and systems, and its impact on finance activities including costing and forecasting. We also work with engineering teams to build finance data platforms and automation solutions to support logistics business. If you thrive in a fast-moving, collaborative environment and want to solve complex problems with new technology-driven data systems, we'd love to hear from you. Operations Finance Data Engineer role requires you understand, document and re-engineer Apple's logistics costing and forecast processes, while bringing strong technical expertise in data querying, dashboard development, and large-scale data analysis. You'll design and build scalable data models, modern Data & Business solutions leveraging tools such as Dataiku, partner with engineering teams to create Agentic/GenAI applications to improve reporting efficiency, enhance data transparency, and support strategic decision-making. This is a hands-on role working closely with logistics & supply chain finance business partners and cross-functional engineering teams, while also making recommendations to senior leadership. Your work will strengthen data quality, drive automation, and unlock new capabilities at scale. Understand and document finance processes in the logistics & supply chain space. Identify and implement process reengineering and automation opportunities to drive efficiency gains. Collaborate with financial analysts, engineers, and operations experts to understand data needs and translate them into scalable data foundational structures. Build

AMP Disbursements Operations Analyst Austin, United States of America Apple's Global Business Solutions (GBS) organization is looking for a highly motivated and capable Financial Analyst in the Apple Media Products (AMP) Disbursements Operations team. This is a critical and high-impact role where you will support Apple's global developer payment program, ensuring that developers and content creators across the App Store, Apple Music, and other Apple media platforms receive accurate and timely earnings payments. The role includes responsibilities for executing the global payment process, reporting on key metrics outlining the health of the business, and serving as a critical fraud detection resource and risk mitigator. As a key member of the AMP Disbursements team, this role will work cross-functionally to support our continued improvement initiatives, to cultivate strategic partnerships, to drive excellence in operational execution, and to ensure innovation is top of mind, while balancing best-in-class payment operations and compliance standards. This individual will also serve as a senior analytical resource for the team, leveraging data platforms to surface insights, detect anomalies, and drive scalable solutions that strengthen the integrity of our global payment operations. Execute and manage the end-to-end global payment disbursement process for AMP developers and content creators, ensuring timely, accurate, and compliant processing in accordance with all internal controls. Serve as the team's primary analytical resource - leveraging Snowflake and Dataiku to build, maintain, and enhance reporting dashboards and data pipelines that track payment trends, operational health metrics, and key business indicators for leadership and cross-functional stakeholders. Lead

FP&A Analyst, WW Procurement Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. At Apple, you'll share in a commitment to excellence by partnering with a world-class team to create innovative products that delight customers. Finance is about fueling innovation. We do this by hiring quality individuals with integrity, personal accountability, teamwork, excellence, and proactive thinking. If you love thinking analytically and are passionate about using your financial knowledge to navigate challenges, we'd love to hear from you! The Worldwide Procurement Financial Planning and Analysis (FP&A) team creates and provides analytical support for critical cost data of all current and upcoming NPI products for Apple. This highly visible and challenging position provides an excellent opportunity to learn key drivers/issues related to Apple's products and supply chain, and to collaborate with Operations and Finance executive management. The ideal candidate should possess a high level of initiative, integrity, and are able to work in a fast-paced work environment. This candidate should also be able to learn quickly, perform detailed analyses, provide valuable insights and respond to changing business needs. The ability to effectively deal with ambiguity and uncertainty is desired. Planning, forecasting, consolidation, reporting and analysis of WW Product Cost and its P&L impact Ownership of financial models (Excel, Dataiku, Tableau) used to validate, interpret, track and communicate

US Sales Finance PART Analyst Cupertino, United States of America The US Sales Finance PART (Process, Analytics, Reporting, and Technology) team is looking for a passionate and highly motivated technical Finance Analyst to support Apple's growth, top and bottom line. The PART organization exists to help the Sales Finance team operate at a higher altitude: working across process and systems to reduce manual work, build automated solutions, and unlock insights. Our experience with data foundations and process work positions us well to guide the Sales Finance organization through AI transformation. The PART team builds the library (building organized, curated information assets for Finance) and acts as librarians (subject-matter experts who guide partners to the right answer) for Sales Finance. This role sits at the intersection of finance, process, and technology. You will spend your time understanding how the US Sales Finance team works today and identifying opportunities to improve the data landscape, eliminate manual deliverables and streamline ad-hoc requests. From there, you will partner with engineering and data teams to deliver enterprise-quality solutions, or build technical solutions yourself. You will be hands-on where it helps: writing SQL to investigate a data question, contributing to our data ecosystem in Dataiku, building a Tableau dashboard or data source to surface important data to humans or systems, drafting requirements that engineering can build against. A solution only counts when it gets used. You will spend time training analysts on what you build, writing documentation, and answering questions across all tools and data, including