Data & AI Solution Advisor

SAP; Stockholms kommun; On-site; SEK 800,000 - 1,100,000; Full time

Job summary

SAP is seeking a Data & AI Solution Advisor to guide enterprises through Data & AI transformations, particularly involving post-merger integration and platform modernization. The candidate will collaborate with account teams and partners, lead customer discovery sessions, and design sophisticated data architectures.

With a strong emphasis on technical and commercial acumen, applicants should have a Bachelor’s degree and 7+ years of relevant experience. This role requires substantial travel (25-50%).

Qualifications

• 7+ years of experience in pre‑sales, consulting, or solution architecture within data, analytics, or AI domains.
• Hands‑on experience in modern enterprise data architectures.
• Demonstrated technical proficiency in various SAP services.

Responsibilities

• Collaborate to understand customer objectives.
• Lead customer discovery sessions and assessments.
• Design end-to-end data modernization architectures.

Skills

Business acumen

Technical proficiency in data architecture

Customer engagement

Communication skills

Problem-solving

Education

Bachelor’s degree in Business, Technology, AI, Data and Analytics, or related field

Tools

SAP Business Data Cloud

SAP HANA Cloud

Databricks

Microsoft Azure

Amazon Web Services

Job description

The Data & AI Solution Advisor is a strategic, customer‑facing role responsible for guiding enterprises through complex Data & AI transformation initiatives, particularly in post‑merger integration (PMI), platform modernization, and technology evolution scenarios. The role combines deep technical and architectural expertise with strong commercial acumen to protect customer value, ensure continuity, and accelerate business outcomes during periods of significant and transformative change.

Responsibilities

• Collaborate with account teams and partners to understand customer objectives, qualify opportunities and shape account strategy.
• Act as a trusted advisor and thought leader, shaping and guiding customer’s lifetime value journey with SAP’s data & AI solution portfolio.
• Evaluate technical and business values in technology expansion, integration and acquisition scenarios, enabling the field with clear insights and recommendations.
• Lead customer discovery sessions, data maturity assessments, solution workshops, and architecture reviews to identify requirements, pain points and target outcomes.
• Translate customers into tailored solution recommendations, clearly articulating SAP’s data & AI differentiators and best practice architectures.
• Design end‑to‑end data modernization architectures spanning data fabric, data warehousing, analytics, enterprise master data management, and agentic AI readiness.
• Deliver standard and customized demos, tailored proof‑of‑concepts (POCs), executive briefings, and workshops that demonstrate clear data‑to‑value outcomes.
• Support proposal development, business case creation and deal progression, in close collaboration with account teams, peer solution advisors, partners and services.
• Represent regional, industry and customer‑specific business needs, market challenges and requirements through detailed, professional and fact‑driven presentations to influence the road‑map priorities.
• Stay current on market trends, competitive landscape, and emerging technologies to continuously strengthen SAP’s solution positioning and differentiation.

Required Skills and Qualifications

• Bachelor’s degree in Business, Technology, AI, Data and Analytics, or a related field.
• 7+ years of experience in pre‑sales, consulting, or solution architecture within data, analytics, or AI domains.
• Hands‑on experience in modern enterprise data architectures, spanning master data management, data warehousing/lakehouse, data fabric, analytics, and agentic AI/ML.
• Demonstrated technical proficiency in SAP Business Data Cloud services, including SAP Datasphere, SAP Analytics Cloud, SAP HANA Cloud, SAP Mater Data Governance, Joule, SAP Knowledge Graph, SAP Databricks, and SAP application data models.
• Working knowledge of leading data ecosystems such as Reltio, Databricks, Snowflake, Google Cloud, Microsoft Azure, Amazon Web Services, Palantir, or Informatica.
• Proven track record of leading customer‑facing demos, workshops, POCs, and executive‑level engagements.
• Excellent communication and presentation skills, with ability to distill complex or technical concepts into clear, compelling business narratives and visual illustrations.
• Deep understanding of enterprise buying cycles, complex deal structures, and value‑based selling.
• Polished collaboration and stakeholder management skills, successfully engaging technical, commercial, and partner teams to drive customer‑centric outcomes.
• High learning agility and adaptability in fast‑changing business environments.
• Ability to work independently and collaboratively in high‑pressure, time‑critical environments.
• High energy and passion for customer success supported by a methodical, structured approach to solving problems and delivering value.

Travel Requirements

This role requires 25‑50% travel.

Equal Employment Opportunity

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process.