Cloudera
1001 - 5000 employees
Founded 2008
🏢 Enterprise
☁️ SaaS
🤖 Artificial Intelligence
💰 $4.1M Venture Round on 2013-01
Enterprise • SaaS • Artificial Intelligence
Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.
Principal – Business Value Management
🕒 June 22
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Cloudera
1001 - 5000 employees
Founded 2008
🏢 Enterprise
☁️ SaaS
🤖 Artificial Intelligence
💰 $4.1M Venture Round on 2013-01
Enterprise • SaaS • Artificial Intelligence
Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.
📋 Description
• Drive ARR growth by embedding quantified, forward-looking value narratives into deal strategy, linking AI platform architectures and emerging AI operating models to revenue uplift, cost optimisation, and risk reduction. • Build and present CFO-grade business cases (TCO, ROI, NPV, IRR), incorporating evolving cost dynamics such as inference workloads, utilisation patterns, and long-term AI operating economics. • Align solution design with commercial objectives by partnering with Sales, Solutions Engineering, and Product, ensuring architectures are optimised for performance, scalability, and durable economic efficiency in AI-driven environments. • Engage C-suite stakeholders to shape enterprise AI and data strategies, positioning Cloudera within broader shifts toward platform consolidation, hybrid architectures, and AI-enabled business models. • Lead value discovery engagements to map current-state environments to future-state AI-native architectures, with explicit quantification of value drivers, investment trade-offs, and execution pathways. • Leverage AI tools and automation, including LLMs and agentic workflows, to scale analysis, accelerate insight generation, and industrialise repeatable assets such as TCO models and scenario simulators. • Support complex, multi-year deal cycles through commercial structuring, scenario modelling, and competitive positioning against cloud-native and emerging AI platform alternatives. • Represent Cloudera in executive forums, articulating perspectives on enterprise AI economics, architectural trade-offs, and the long-term implications of AI adoption on cost structures and operating models.
🎯 Requirements
• 5–7+ years in strategy consulting, value engineering, or equivalent customer-facing roles • Strong commercial and financial acumen, including advanced financial modelling (DCF, NPV, IRR) and the ability to link technology decisions to P&L, balance sheet, and cash flow outcomes • Demonstrated ability to influence enterprise deal cycles, including shaping deal strategy, positioning, and commercial outcomes • Solid understanding of modern data platforms, distributed systems, and AI/ML workloads, including data pipelines, model deployment, and infrastructure trade-offs • Ability to quantitatively reason about evolving cost drivers in AI and data environments, including compute, storage, and workload patterns • Hands-on experience using AI tools (e.g., LLMs, automation frameworks) to support analysis, modelling, and content generation • Strong executive presence with the ability to engage and influence CIO, CFO, CDO, and senior business stakeholders • Excellent communication skills, with the ability to distil complex technical and financial concepts into clear, actionable insights • High ownership mindset, with the ability to operate independently in ambiguous, high-growth environments • Proven experience working closely with Sales teams in complex, high-value enterprise deals.
🏖️ Benefits
• Generous PTO Policy • Support work life balance with Unplugged Days • Flexible WFH Policy • Mental & Physical Wellness programs • Phone and Internet Reimbursement program • Access to Continued Career Development • Comprehensive Benefits and Competitive Packages • Paid Volunteer Time • Employee Resource Groups
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