Business Value Manager

Cloudera

. Operate at the intersection of business value, AI platform architectures, and deal strategy .

Posted 10/16/2026full-timeRemote • United StatesMid-LevelSenior💰 $115,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in value engineering and strategic consulting, with a strong focus on developing financial models and business cases that drive AI-native operating models. Capable of engaging C-suite stakeholders and influencing enterprise deal cycles through quantitative analysis and effective communication.

Highest-signal resume keywords

Value EngineeringFinancial ModelingAI Platform ArchitectureCustomer EngagementQuantitative Analysis

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

TCO AnalysisROI AnalysisAdvanced Financial ModelingData Pipeline KnowledgeAI/ML Workload UnderstandingScenario ModelingQuantitative ReasoningDeal StrategyCommercial StructuringValue Framework Development

Soft Skills

Excellent Communication SkillsStrong Executive PresenceAbility to InfluenceIndependent Operation in Ambiguous EnvironmentsStructured Reasoning

Tools & Technologies

AI ToolsLLMsApache SparkTrinoKafkaHybrid Cloud DeploymentsOn-Prem AI DeploymentsAutomation FrameworksScenario SimulatorsTCO Calculators

Industry Keywords

Financial ServicesManufacturingConsumer GoodsTelecommunicationEnterprise AIData Platform ArchitecturesHigh-Value Enterprise DealsCFO-Grade Business CasesValue-Based Sales PlaysExecutive Forums

Tech Stack

Tools & technologies

ApacheCloudDistributed SystemsKafkaSpark

About the role

Key responsibilities & impact

Operate at the intersection of business value, AI platform architectures, and deal strategy
Partner with account teams and customer executives to translate data and AI capabilities into quantified economic outcomes
Shape investment decisions, influence deal structures, and enable transitions toward AI-native operating models
Develop investment justifications including TCO and ROI analyses, prioritization matrices, customer benchmarks, value-led case studies, and enterprise demand plans
Serve as business value architect for strategic deals within a defined sales territory
Own value-focused customer engagements and stakeholder mapping with senior sales leaders and account teams
Embed quantified value narratives into deal strategy to drive ARR growth
Engage C-suite stakeholders on enterprise AI and data strategies
Build and present CFO-grade business cases using TCO, ROI, NPV, and IRR
Lead value discovery engagements mapping current-state environments to future-state AI-native architectures
Support complex multi-year deal cycles through commercial structuring, scenario modeling, and competitive positioning
Align solution design with commercial objectives alongside Sales, Solutions Engineering, and Product
Execute global strategic Value Management initiatives and thought leadership
Develop value frameworks, calculation methodologies, value case studies, realization studies, and value-based sales plays
Represent Cloudera in executive forums on enterprise AI economics and architectural trade-offs
Use AI tools, LLMs, and agentic workflows to scale analysis and automate repeatable assets such as TCO models and scenario simulators

Requirements

What you’ll need

5+ years in value engineering, strategy consulting, or equivalent customer-facing roles
Experience driving customer engagements and/or working cross-functionally with a large or dynamic organization
Strong structured reasoning and deep quantitative analysis experience
Excellent communication skills to distill complex technical and financial concepts into actionable insights
Hands-on deal and sales experience in complex, high-value enterprise deals
Strong commercial and financial acumen, including advanced financial modeling (DCF, NPV, IRR)
Ability to link technology decisions to P&L, balance sheet, and cash flow outcomes
Demonstrated ability to influence enterprise deal cycles, including deal strategy, positioning, and commercial outcomes
Understanding of modern data platforms, distributed systems, and AI/ML workloads
Knowledge of data pipelines, model deployment, and infrastructure trade-offs
Ability to quantitatively reason about compute, storage, and workload cost drivers
Hands-on experience using AI tools such as LLMs and automation frameworks
Strong executive presence engaging CIO, CFO, CDO, and senior business stakeholders
Ability to operate independently in ambiguous, high-growth environments
Preferred: knowledge of modern AI stack, Apache Spark, Trino, Kafka, private/hybrid/public cloud deployments, and DevOps
Preferred: experience designing or deploying enterprise AI or data platform architectures in production
Preferred: industry expertise in Financial Services, Manufacturing, Consumer Goods, or Telecommunication
Preferred: experience building TCO calculators, benchmarking models, or scenario simulators
Preferred: familiarity with hybrid and on-prem AI deployments
This role is not eligible for immigration sponsorship

Benefits

Comp & perks

Generous PTO Policy
Unplugged Days to support work-life balance
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
Corporate incentive plan for non-sales roles