At a Glance
- Tasks: Lead technical presales engagements and develop innovative AI/Data solutions for enterprise customers.
- Company: Join Dell Technologies, a leader in transforming how we work and live.
- Benefits: Competitive salary, career growth opportunities, and a collaborative work environment.
- Other info: Dynamic role with opportunities to shape the future of AI and Data Services.
- Why this job: Make a real impact with cutting-edge technology while working with top industry professionals.
- Qualifications: Experience in AI/ML solutions and strong consultative selling skills required.
The predicted salary is between 72000 - 108000 £ per year.
Job Description
Services AI Data Solution Principal (Services Technical PreSales), based London
Job Summary:
The Services AI Data Solutions Principal is a customer-facing, technical presales leader responsible for driving Dell Technologies' AI and Data Services revenue across a wide portfolio of enterprise customers and industries. This role requires strong technical expertise in AI and associated Data engineering and Data management disciplines, strong consultative selling skills, executive-level communications, and business development acumen. The candidate will jointly lead and influence customers from initial opportunity discovery through proposal development and deal closure while collaborating closely with Dell sales, delivery, product, and partner teams.
This role carries sales pipeline joint-ownership within an aligned pod of professionals, quota-bearing objectives, and requires the ability to manage multiple active pursuits simultaneously across a diverse customer set.
Key Responsibilities:
- Sales Motion & Business Development
- Lead technical presales engagements across multiple concurrent customer opportunities.
- Lead the development of services proposals in collaboration with other Dell teams and customer stakeholders.
- Facilitate consultative workshops with customers to;
- Understand key customer challenges and position Dell Technologies services value
- Translate business requirements into actionable proposals with outcomes aligned to measurable business outcomes.
- Confidently communicate vision and value proposition to technical and executive audiences
- Serve as the accountable technical SME driving deal progression, revenue attainment, and closure.
- Partner with Sales Executives, Business Development Managers, Account Managers, and Service Delivery teams to jointly develop, qualify, and advance pipeline opportunities.
- Support sales forecasting, reporting, pipeline management, and quota achievement.
- Structure deals to meet customer needs while aligning Dell's services portfolio, delivery capabilities, and financial objectives.
- Entrepreneurial focus to drive innovation, efficiency, process/IP improvement opportunities, coach and enable Dell sales and presales teams on AI/Data solution positioning, capabilities, and value articulation.
- Build and maintain a strong personal network across Dell's global sales, product, engineering, and partner ecosystem to effectively orchestrate deal success.
- Customer Engagement & Executive Communication
- Lead consultative discovery workshops with business and technical executives to identify AI/Data/GenAI solution opportunities and strategies.
- Workes with other technical PreSales teams to translate business objectives into actionable technical architectures and service proposals.
- Develop and deliver compelling customer presentations, demos, proposals, and design sessions to both executive and technical audiences.
- Manage customer expectations across complex solution lifecycles with strong delegation, accountability, and stakeholder management skills.
- Technical Solution Leadership
- Architect Services end-to-end data and AI solutions across data pipelines, data lakes, data governance, AI model pipelines, and enterprise AI platforms.
- Apply knowledge of GenAI-specific data ingestion, vector store integration, RAG pipelines, agentic frameworks, and multi-modal data management.
- Collaborate on AI platform designs leveraging Dell's product and partner ecosystem e.g. NVAIE, Run.ai, H2O.ai, ClearML, OpenShift, etc.
- Provide expert guidance on modern data stack components: data quality, metadata management, observability, data products, feature stores, with governance and Dell's maturity model frameworks.
- Stay current on emerging AI and associated Data Management technologies.
- Actively contribute field feedback to Dell's product management and service development teams to shape evolving offerings.
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:
- Required Qualifications:
- Bachelor's degree in Computer Science Analytics, Information Systems, Engineering, or equivalent experience.
- Typically 15+ years of enterprise consulting, presales, or technical solution development experience
- Typically 5+ years of experience designing and delivering AI/ML solutions with extensive emphasis on data integration, data pipelines, and data platform architectures.
- Typically 4+ years in a quota-carrying technical presales, client partner, or solution principal role.
- Experience supporting sales forecasting, pipeline management, deal structuring, and sales coaching.
- Familiarity with AI/ML and Data Management frameworks and tools (TensorFlow, PyTorch, Keras, Spark, Databricks etc.)
- Experience in on-premise data center infrastructures relevant to AI/ML, Data and Data Management
- Strong cross-functional leadership and internal stakeholder management skills.
- Exceptional presentation, proposal development, and executive storytelling capabilities.
- Ability to travel regionally up to 50%.
- Desirable Requirements
- Master's degree or equivalent advanced technical/business training.
- Experience implementing AI governance, model management, and AI risk frameworks in a consultative setting and related process framework.
- Familiarity with Dell product portfolio, including Dell NVIDIA AI Factory, PowerScale, ObjectScale, Dell Data Lakehouse.
- Familiarity with Dell services sales methodologies and governance models.
- Experience working with large enterprise, healthcare, manufacturing, energy, federal, or regulated industries.
- Understanding of security, DevSecOps, and hybrid/multi-cloud architectures.
- Negotiation, facilitation, and conflict resolution skills.
Who we are:
We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Application closing date: 17th July 2025
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .
Company employer: Dell
Dell Technologies is an exceptional employer that prioritises the growth and development of its team members, offering a dynamic work culture where innovation thrives. Located in London, this role provides unique opportunities to engage with cutting-edge AI and Data solutions while collaborating with top professionals across various sectors. Employees benefit from a supportive environment that encourages career advancement, continuous learning, and the chance to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Company
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We think you need these skills to ace Company
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Dell, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dell. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dell
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dell!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
