Cloudera
Principal, Value Management
US-Texas-Remote, USA · Principal
Sponsorship not specifiedDetected 142 days ago
Distributed SystemsMachine LearningData EngineeringLLMsFinancial ModelingValuationCommunication
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Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- 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.
- 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.
- Leverage AI tools and automation, including LLMs and agentic workflows, to scale analysis, accelerate insight generation, and industrialize repeatable assets such as TCO models and scenario simulators.
Responsibilities
- 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 optimization, and risk reduction.
- Build and present CFO-grade business cases (TCO, ROI, NPV, IRR), incorporating evolving cost dynamics such as inference workloads, utilization patterns, and long-term AI operating economics.
- Align solution design with commercial objectives by partnering with Sales, Solutions Engineering, and Product, ensuring architectures are optimized for performance, scalability, and durable economic efficiency in AI-driven environments.
Requirements
- 5-7+ years in strategy consulting, value engineering, or equivalent customer-facing roles
- Strong commercial and financial acumen, including advanced financial modeling (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
- Ability to quantitatively reason about evolving cost drivers in AI and data environments, including compute, storage, and workload patterns
- Strong executive presence with the ability to engage and influence CIO, CFO, CDO, and senior business stakeholders
- Proven experience working closely with Sales teams in complex, high-value enterprise deals
- Excellent communication skills, with the ability to distill complex technical and financial concepts into clear, actionable insights
- High ownership mindset, with the ability to operate independently in ambiguous, high-growth environments
- Experience designing or deploying enterprise AI or data platform architectures in production environments
- Deep expertise in one or more industries such as Financial Services, Manufacturing, Consumer Goods, or Telecommunication
- Solid understanding of modern data platforms, distributed systems, and AI/ML workloads, including data pipelines, model deployment, and infrastructure trade-offs
- Hands-on experience using AI tools (e.g., LLMs, automation frameworks) to support analysis, modeling, and content generation
- Post-MBA experience, particularly within a top-tier management consulting firm or equivalent environment
- Experience building scalable value engineering assets such as TCO calculators, benchmarking models, or scenario simulators
Nice to have
- You may also have: (Preferred Qualifications):
Company info
- Strategy Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights.
Visa & Work Authorization
- This role is not eligible for immigration sponsorship
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This listing is sourced directly from Cloudera's careers page and normalized into a canonical job model.