Business Value Manager
Drive ARR Growth
You will 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.
Engage C-Suite Stakeholders
You will 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.
Build and Present CFO-Grade Business Cases
- Develop 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.
Lead Value Discovery Engagements
You will 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.
Align Solution Design with Commercial Objectives
You will 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.
Represent Cloudera in Executive Forums
You will 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
- 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.
Qualifications
- 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
- 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, modeling, 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 distill complex technical and financial concepts into clear, actionable insights
- High ownership mindset, with the ability to operate independently in ambiguous, high-growth environments
Preferred Qualifications
- Post-MBA experience, particularly within a top-tier management consulting firm or equivalent environment
- 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
- Experience building scalable value engineering assets such as TCO calculators, benchmarking models, or scenario simulators
- Familiarity with hybrid and on-prem AI deployments, including cost and performance trade-offs versus public cloud
Pay
The anticipated annual base salary range for this position is: Illinois: $116K - 150K Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package.