Solutions Director, Analytics & AI

Rackspace Technology; United States; On-site; USD 202,100 - 355,410; Full time

Benefits offered by this job

Competitive compensation

Professional development support

Access to latest AWS technologies

Job summary

A leading multicloud solutions provider seeks a Solution Director for Analytics & AI to lead the design and sales of AI and data modernization solutions. The ideal candidate will have extensive expertise in generative AI technologies and data platforms, engaging C-level executives, and delivering transformational initiatives. The role requires at least 5 years of senior-level experience, strong technical acumen, and the ability to articulate AI and data strategies effectively. Competitive compensation and professional development support are offered.

Qualifications

• Dual expertise in generative AI and data modernization.
• At least 5 years as a senior-level architect or solutions leader.
• Proficiency in Python, SQL, and Spark.

Responsibilities

• Lead the design and architecture of generative AI solutions.
• Engage C-level stakeholders with AI demonstrations.
• Guide customers through generative AI adoption and data modernization.

Skills

Generative AI technologies

Data modernization

Customer engagement

Python

SQL

Spark

Education

Bachelor’s degree in computer science

Advanced degree (Master's or PhD)

Tools

AWS Glue

SageMaker

Databricks

Snowflake

Job description

Get AI-powered advice on this job and more exclusive features. This range is provided by Rackspace Technology. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$202,100.00/yr - $355,410.00/yr

Solution Director, Analytics & AI

• Lead the design and sales of two critical solution portfolios: Generative AI/LLM solutions and Data modernization/Lakehouse architectures on AWS.
• Drive top‑of‑funnel opportunity creation by engaging C‑level stakeholders with generative AI demonstrations and identifying data modernization needs.
• Lead the design and architecture of dual solution portfolios: Generative AI Solutions (Amazon Bedrock, Amazon Q, QuickSight with Q, RAG architectures, custom LLM solutions) and Data Modernization (AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS).
• Act as trusted advisor positioning generative AI as transformational vision while grounding delivery in robust data platform modernization.
• Develop compelling business cases connecting AI aspirations with practical data foundation requirements and demonstrating ROI across both portfolios.
• Stay current with advancements in generative AI and modern data architectures.
• Contribute to Rackspace intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns.

Customer Engagement & Solution Delivery

• Serve as 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 demos, QuickSight analytics, art‑of‑the‑possible sessions) and Technical Level (Lakehouse architecture workshops, platform assessments).
• Lead consultative engagements that begin with generative AI vision and translate into concrete data modernization roadmaps.
• Develop Statements of Work that balance innovative AI capabilities with foundational data platform requirements.
• Guide customers through parallel journeys: generative AI adoption (POCs to production) and data platform modernization (legacy to Lakehouse).
• Collaborate with sales teams positioning both solution portfolios strategically based on customer maturity and needs.

Technical Excellence & Market Awareness

• Maintain deep expertise across both solution domains: Generative AI (Amazon Bedrock, Amazon Q, QuickSight Q, SageMaker JumpStart, prompt engineering, RAG architectures, vector databases) and Data Platforms (AWS Glue, SageMaker Unified Studio, Databricks on AWS, Snowflake on AWS, Redshift, EMR, Apache Iceberg, Delta Lake).
• Demonstrate comprehensive understanding of how generative AI solutions depend on modern data foundations.
• Position AWS solutions effectively against competing cloud platforms in both AI and data domains.
• Guide architectural decisions on build vs. buy for both AI capabilities and data platform components.

Qualifications

Required Experience

• Dual expertise in generative AI technologies (Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations).
• Proven track record delivering data modernization (Lakehouse architectures, Databricks/Snowflake implementations, AWS Glue/EMR deployments).
• At least 5 years as a senior‑level architect or solutions leader with hands‑on experience in AI/ML and data platform modernization.
• Success engaging C‑level executives using generative AI demonstrations while delivering complex data platform transformations.
• Proficiency in Python, SQL, Spark and hands‑on experience with LangChain, vector databases, PySpark, Apache Iceberg, Delta Lake, and orchestration tools.
• Ability to articulate visionary AI possibilities and practical data platform requirements to diverse audiences.

Preferred Qualifications

• Experience with AWS professional services or partner ecosystem across AI and data domains.
• Hands‑on experience with multiple Lakehouse platforms and AI platforms.
• Industry certifications (AWS Solutions Architect Professional, Machine Learning Specialty, Data Analytics Specialty, Databricks Certified, Snowflake SnowPro).
• Experience with regulated industries requiring governance for AI and data platforms.
• Published thought leadership in generative AI applications and/or modern data architectures.

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.

What We Offer

• Opportunity to lead dual portfolios at the intersection of generative AI innovation and data platform modernization.
• Direct engagement with C‑level executives on transformational initiatives.
• Access to latest AWS technologies across AI and data services.
• Work with leading platforms: Databricks, Snowflake, AWS native services.
• Comprehensive professional development and certification support.
• Competitive compensation and benefits package.

Travel

• As per business requirements — occasional travel up to 25% to customer sites and AWS events.

Sponsorship

• This role is not sponsorship eligible.
• Candidates need to be legally allowed to work in the US for any employer.

Remote postings are limited to candidates residing within the country specified in the posting location.

The ideal candidate will excel at selling the vision of generative AI transformation and delivering the reality of enterprise data modernization, combining deep technical expertise with exceptional business acumen and executive presence.

About Rackspace Technology

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end‑to‑end solutions. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world‑class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

More on Rackspace Technology

We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment, identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

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.

The following information is required by pay transparency legislation in the following states: CA, CO, HI, NY and WA. This information applies only to individuals working in these states.

Information on benefits offered is here.