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- Tasks: Lead the design and sales of generative AI and data modernization solutions.
- Company: Join Rackspace, a leader in cloud solutions with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI and data architecture while engaging with top executives.
- Qualifications: Deep experience in generative AI and data modernization required.
- Other info: Dynamic role with significant impact on customer success and technology advancement.
The predicted salary is between 72000 - 108000 £ per year.
Rackspace is seeking a highly accomplished Solution Director, Analytics & AI to lead the design and sales of two critical solution portfolios: generative AI/LLM solutions and data modernization/lakehouse architectures on AWS. This pivotal role requires mastery of both domains - leveraging generative AI capabilities (Amazon Q, Amazon Bedrock, QuickSight) to drive executive conversations and opportunity creation, while delivering enterprise data modernization through lakehouse architectures using AWS native services (Glue, SageMaker Unified Studio) and leading platforms (Databricks on AWS, Snowflake on AWS). The position demands cross-functional experience with proven ability to engage C-level stakeholders, drive top-of-funnel opportunity creation, and maintain comprehensive account ownership across the entire customer lifecycle.
Responsibilities
- Strategic Leadership & Opportunity Development
- Drive top-of-funnel opportunity creation through two parallel tracks: engaging C-level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for lakehouse transformations.
- Lead the design and architecture of dual solution portfolios:
- Generative AI Solutions, Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions.
- Data Modernization: Enterprise lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS.
- Act as the trusted advisor positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization.
- Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios.
- Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (lakehouse patterns, data mesh, unified analytics).
- Contribute to Rackspace intellectual property through reference architectures covering both generative AI implementations and lakehouse design patterns.
- Serve as the primary technical executive orchestrating both generative AI discussions and data modernization programs for strategic accounts.
- Build strategic relationships using two engagement models:
- Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions.
- Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS-native), migration planning.
- Maintain deep expertise across both solution domains:
- Generative AI: Amazon Bedrock, Amazon Q, QuickSight Q, SageMaker JumpStart, prompt engineering, RAG architectures, vector databases.
- Data Platforms: AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS, Redshift, EMR, Apache Iceberg, Delta Lake.
Qualifications and Required Experience
- Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations.
- Proven track record delivering data modernization: lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments.
- At least 5 years as a senior-level architect or solutions leader with hands-on experience in both AI/ML and data platform modernization.
- Demonstrated success engaging C-level executives using generative AI demonstrations while delivering complex data platform transformations.
- Strong understanding across the full spectrum:
- AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine-tuning.
- Data Platforms: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality.
- Generative AI: LangChain, vector databases, embedding models.
- Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools.
Preferred Qualifications
- Experience with AWS professional services or AWS partner ecosystem across both AI and data domains.
- Hands-on experience with:
- Multiple lakehouse platforms: Databricks, Snowflake, AWS-native (Glue + Athena + Redshift).
- Multiple AI platforms: AWS Bedrock, Azure OpenAI, Google Vertex AI.
- AWS: Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty.
- Platform specific: Databricks Certified, Snowflake SnowPro.
Educational Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field.
- Advanced degree (Master's or PhD) in a relevant field is highly preferred.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Solutions Director - Analytics & AI in London employer: Rackspace Technology
Contact Detail:
Rackspace Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Director - Analytics & AI in London
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at events. The more people you know, the better your chances of landing that Solutions Director gig.
✨Tip Number 2
Show off your skills! Prepare a killer presentation or demo showcasing your expertise in generative AI and data modernization. This is your chance to impress potential employers with what you can bring to the table.
✨Tip Number 3
Engage with C-level stakeholders directly. Don’t wait for them to come to you; reach out and start conversations about how you can help them leverage AI and modern data solutions. Be proactive!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Make sure to check it out and submit your application to join our awesome team.
We think you need these skills to ace Solutions Director - Analytics & AI in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Solutions Director role. Highlight your experience with generative AI and data modernization, and show how your skills align with what we're looking for at Rackspace.
Showcase Your Achievements: Don’t just list your responsibilities; share specific examples of your successes in previous roles. Use metrics where possible to demonstrate your impact, especially in engaging C-level stakeholders and driving opportunity creation.
Be Authentic: Let your personality shine through in your application. We want to see who you are beyond your qualifications. Share your passion for AI and data solutions, and why you’re excited about this opportunity with us.
Apply Through Our Website: For the best chance of getting noticed, make sure to submit your application through our official website. This way, we can easily track your application and ensure it reaches the right people in our team.
How to prepare for a job interview at Rackspace Technology
✨Know Your Tech Inside Out
Make sure you’re well-versed in the generative AI technologies and data platforms mentioned in the job description. Brush up on Amazon Bedrock, Amazon Q, and lakehouse architectures using AWS services. Being able to discuss these topics confidently will show that you’re not just familiar but truly knowledgeable.
✨Engage with C-Level Insights
Prepare to engage C-level stakeholders by crafting compelling narratives around how generative AI can transform their business. Think about real-world examples or case studies that demonstrate ROI and practical applications of AI and data modernization. This will help you connect on a strategic level during the interview.
✨Demonstrate Your Consultative Skills
Be ready to showcase your consultative approach. Prepare to discuss how you would lead comprehensive engagements, from initial generative AI vision discussions to developing concrete data modernization roadmaps. Highlight your experience in guiding customers through these parallel journeys.
✨Stay Current and Curious
Show your passion for the field by discussing recent advancements in generative AI and modern data architectures. Mention any relevant articles, webinars, or courses you've engaged with. This demonstrates your commitment to staying ahead in a rapidly evolving industry, which is crucial for a Solutions Director role.