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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI strategy, predictive AI, machine learning, and MLOps, with a strong ability to translate AI use cases into commercially viable solutions. Proven experience in client-facing roles, providing technology leadership, and aligning AI initiatives with business outcomes.
Highest-signal resume keywords
AI Use Case IdentificationExperience with AI/ML FrameworksCloud Platform ExperienceStrong Commercial AcumenPre-Sales Engagement Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Predictive AIMachine LearningGenerative AIMLOpsData PipelinesETLData LakesModel Lifecycle ManagementDesigning Scalable SystemsAI Use Case Translation
Soft Skills
Strong CommunicationPresentation SkillsTime ManagementPrioritizationRelationship Building
Tools & Technologies
TensorFlowPyTorchScikit-LearnAzure AIAWS SageMakerGoogle Cloud AIHPE Private AINvidia AI EnterpriseDell AI FactoriesSpark
Certifications & Qualifications
Relevant SME Accreditations
Industry Keywords
AI StrategyGovernanceHybrid InfrastructureCloudWorkspaceSecurityCommercial ImpactClient-Facing InteractionsTechnology LeadershipSolution Sales
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsETLPyTorchScikit-LearnSparkTensorflow
About the role
Key responsibilities & impact- Act as the expert link between customers, CDW’s internal sales organization, and technical architects
- Position CDW Custom AI capabilities with technical, business, and IT decision-maker personas
- Maintain subject matter expertise in predictive AI, machine learning, generative AI, MLOps, data pipelines, and DevOps
- Establish CDW credibility and position AI strategy, governance, and platform solutions
- Build and execute customer-facing AI use-case demonstrations
- Architect end-to-end AI systems integrating data pipelines, machine-learning models, and deployment platforms
- Support development, launch, marketing, and ongoing improvement of AI offerings
- Provide AI technology leadership and thought leadership on emerging trends
- Lead complex engagements across hybrid platforms, modern workspace, security, and services
- Provide independent technology advice connecting CDW’s portfolio to customer business outcomes
- Support sales teams with high-value account development and technical guidance
- Qualify customer opportunities, understand business and technical requirements, and design solutions using the CDW portfolio
- Maintain accurate CRM information for sales forecasting and pipeline management
- Produce solution designs, RFP responses, TCO and ROI models, business cases, high-level designs, and statements of work
- Evangelize CDW capabilities, productized services, consulting, and full-stack expertise
- Build relationships with internal teams and technology partners
- Support strategic partner growth plans and agreed targets
- Assess commercial impact and help select solutions that meet budgets and expectations
- Attain and maintain relevant SME accreditations
- Develop the wider Solution Sales team and support less experienced team members
- Use social media and other communications to build personal and CDW market presence
Requirements
What you’ll need- University or bachelor’s degree or other equivalent qualification in Artificial Intelligence is desirable but not essential
- 5+ years of related experience
- AI use case identification and translation into commercially viable deliverable outcomes
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn
- Experience with cloud platforms such as Azure AI, AWS SageMaker, and Google Cloud AI
- Experience with private cloud platforms such as HPE Private AI, Nvidia AI Enterprise, and Dell AI Factories
- Understanding of data engineering practices, including ETL, data lakes, and Spark
- Knowledge of designing scalable, distributed systems
- Familiarity with model lifecycle management and MLOps practices
- Ability to align AI initiatives with business outcomes and develop effective use cases
- Experience in pre-sales engagements and client-facing interactions
- Expertise in at least one CDW core portfolio area: Hybrid Infrastructure, Cloud, Workspace, or Security
- Broad understanding of technology and its impact on business
- Strong commercial acumen, ideally with channel experience
- Experience managing small groups or virtual teams is a bonus
- Ability to manage competing pressures, tight deadlines, and constrained resources
- Strong communication, presentation, time management, prioritization, and relationship-building skills
- Prepared for occasional travel between CDW UK and international offices
- Able to travel to customer meetings as required, likely weekly
- Ability to undertake personal development activities, training, and certifications
Benefits
Comp & perks- Hybrid working arrangement
- Opportunities for personal development, training, and certifications
- Support for soft-skill development
- Career development and team learning opportunities
- Occasional travel between CDW UK and international offices while maintaining work-life balance
- Equal opportunity hiring process
- Collaborative and supportive work environment