Advisory AI Data Specialist (FDE Unit)

## About the Role The Advisory AI Data Specialist plays a critical role in name's Forward Deployment Engineering (FDE) Unit, focusing on preparing customer data for AI and GenAI workloads. This role involves collaborating with customer teams to map data landscapes, build integrations and pipelines, and configure governance and access controls. The goal is to ensure that data used in proofs of value is secure, compliant, and scalable to production. As a data expert, you will work closely with AI Architects, AI Strategists, and customer stakeholders to align data work with overall AI priorities and operating models.

The successful candidate will have a deep understanding of data engineering, analytics platforms, and AI data roles, with a proven track record of leading data readiness assessments and preparing data for analytics or AI use cases. This is a remote role, offering the opportunity to work with a distributed team and contribute to the development of innovative AI solutions.

The FDE Unit is a dynamic and fast-paced environment, with a focus on delivering high-quality solutions that meet customer needs. As an Advisory AI Data Specialist, you will be expected to work independently and collaboratively, leveraging your technical expertise and communication skills to drive project success.

## What You Will Do - Lead data readiness assessments to understand what data is available, how it is used, and how it can support AI use cases - Build and improve data pipelines and integrations that deliver AI-ready data for AI and GenAI workloads - Design and configure governance and compliance controls that enable secure and compliant use of data for AI - Partner with AI Architects to align data flows with the AI software stack and avoid data-related blockers - Collaborate with AI Strategists and customer stakeholders to align data work with AI governance frameworks, operating models, and stewardship processes - Perform hands-on data integration and transformation work to prepare AI-ready datasets for PoV and production solutions - Define integration patterns and pipelines that deliver AI-ready data with appropriate security, risk, and privacy controls - Ensure PoV pipelines are production-aware from the start, including patterns for monitoring, reliability, performance, and maintainability - Contribute to documentation such as data flow diagrams, data catalogs, governance artifacts, and runbooks for AI data operations - Coach customer data engineers and platform teams on building and maintaining AI-ready data pipelines and governance practices

## What We Are Looking For - 3-8 or more years of experience in data engineering, analytics platforms, or AI data roles within large or complex organizations - Experience running data readiness assessments and preparing data for analytics or AI use cases - Hands-on skills in building data integrations and ETL/ELT processes and transforming raw data into AI-ready formats - Experience configuring data governance and compliance controls for secure and compliant use of data, including sensitive data - Proven ability to scale data pipelines from pilot to production while maintaining performance, reliability, and compliance - Clear written and verbal communication skills to explain data flows, governance decisions, and operational requirements to technical and non-technical audiences - Ability to travel to customer sites and name locations as needed, in line with business requirements and applicable laws and policies - Bachelor’s degree in Computer Science, Data/Information Management, Engineering, or a related field

## Nice to Have - Experience delivering production data pipelines and integrations for analytics or AI/ML use cases - Familiarity with modern data platforms, ETL/ELT tooling, and AI/ML-related data patterns - Certification in data engineering, AI, or a related field

## Benefits and Perks - Competitive salary and benefits package - Opportunity to work with a leading company in the AI and data space - Collaborative and dynamic work environment - Professional development and growth opportunities - Flexible working hours and remote work options - Access to cutting-edge technologies and tools - Comprehensive health and wellness program - Generous paid time off and holiday schedule

- Tip: Highlight your experience with data engineering, analytics platforms, and AI data roles in your resume and cover letter.

• When preparing for the interview, be ready to discuss your approach to data governance and compliance, as well as your experience with ETL/ELT processes.
• It's essential to demonstrate your ability to communicate complex technical concepts to non-technical stakeholders, so practice explaining your work in simple terms.
• Be prepared to provide examples of your experience with data pipelines, integrations, and AI-ready data formats.
• Tip: Research name's approach to AI and data, and be prepared to discuss how your skills and experience align with the company's goals and objectives.
• Consider creating a portfolio that showcases your work in data engineering and AI, including examples of your data pipelines and integrations.
• When negotiating salary, be sure to research the market rate for Advisory AI Data Specialists and be prepared to discuss your expectations.