AI Sr Customer Advisor- Public Sector
SAS
AI Senior Customer Advisor- Public Sector
Hybrid-Milan
Nice to meet you!
We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.
We’re also a debt‑free multi‑billion‑dollar organization on our path to IPO‑readiness. If you're looking for a dynamic, fulfilling career coupled with flexibility and world‑class employee experience, you'll find it here.
About the Role
AI Senior Customer Advisor – Public Sector
We are seeking a Pre‑Sales Systems Engineer to join the Public Sector Advisory team, supporting the South EMEA region.
You will provide both industry and technical expertise, helping customers leverage their data to drive meaningful business outcomes. You will support customers across the entire analytics lifecycle—from data management, standardization, and exploration, to visualization, advanced statistical analysis, and machine learning.
You will partner with Account Executives, leveraging your subject‑matter expertise in advanced SAS technology to drive new revenue opportunities and ultimately increase win rates.
For this role, we are looking for an expert in AI, Agentic AI, and analytics.
Primary Responsibilities
- Build trusted advisor relationships with Account Executive teams and technical stakeholders to drive SAS adoption and advocacy
- Apply your domain expertise and technical acumen, combined with a sales‑driven mindset, to shape opportunities and educate customers on the value of SAS
- Develop account strategies with Account Executives, including approaches to optimize customer engagements and generate new opportunities
- Co‑lead customer engagements as the technical expert, gathering business requirements, guiding technology selection, and supporting implementation planning
- Develop and deliver customized presentations and demonstrations that clearly communicate value, functionality, and SAS competitive advantages
- Build strong relationships with internal and external stakeholders, providing practical guidance and setting clear expectations to ensure customer success
- Collaborate with cross‑functional teams, including Sales, Marketing, Business Operations, the Global Technology Practice (GTP), Customer Success, Product Management, and R&D
- Continuously build and maintain deep technical knowledge of SAS offerings and stay up to date with industry trends
- Facilitate hands‑on workshops, webinars, and enablement sessions focused on SAS technology and industry use cases
Must‑Haves
- 5+ years of relevant professional experience in AI and analytics across one or more domains
- Ability to translate complex data and technical concepts into clear, business‑oriented messaging
- Strong presentation and public speaking skills, including delivering technical demonstrations and advisory support
- Ability to work both independently and as part of a team
- Willingness to travel (10–25%, depending on business needs)
- Fluency in English and Italian
Additional Preferred Qualifications
- Degree in Analytics, Statistics, Computer Science, Engineering, or a related quantitative field (or equivalent experience)
- Academic or applied experience in areas such as statistics, forecasting, predictive modeling, machine learning, natural language processing, and/or model interpretability
- Experience in customer‑facing roles
- Experience in presales, sales engineering, or consulting roles
- Experience with cloud‑based technology deployments
Diversity and Inclusion
At SAS, it’s not about fitting into our culture—it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and perspectives, enabling us to create innovative solutions that reflect the diversity of our customers. Our commitment to inclusion starts at the top and is core to who we are.
you are welcome here.
Additional Information
SAS only sends emails from verified “sas.com” email addresses and will never ask for sensitive personal information or payment. If you have any doubts about the authenticity of a communication from SAS, please contact Visualizzare la mail su click.appcast.io .
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