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Solution Advisor Expert - SAP Business Data Cloud- APAC

SAP

Solution Advisor Expert - SAP Business Data Cloud- APAC

SAP

·

On-site

·

Full-time

·

5d ago

We help the world run better

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

APAC role with strong preference for candidates based in Singapore

As the Solution Advisor (SA) / Pre-sales Advisor / Expert for SAP Business Data Cloud, you will be the go-to Data & AI solution specialist for the sales team. You will leverage deep expertise in data platforms, analytics, and AI to support the full sales cycle—from opportunity identification through deal closure—with a strong focus on adoption, consumption mindset, and post-sale expansion.

You will help customers modernize their data platforms, analytics, and AI capabilities using SAP Business Data Cloud, while expanding their SAP footprint to maximize business value.

What you’ll do:

Provide deep Data & AI solution expertise to support new sales and adoption for key customers using SAP Business Data Cloud (Datasphere, SAP Analytics Cloud, SAP Databricks, SAP HANA Cloud, Intelligent Apps & Data Products, and Open Data Ecosystem Partners)

Deliver standard and customized demonstrations showing how customers can unlock business value from their data using analytics, data products, and AI

Support Account Teams with data-driven solution presentations, workshops, and demos to identify, qualify, and progress opportunities

Lead and drive high-impact customer engagements including executive briefings, technical workshops, architecture reviews, RFP responses, customized demos, and multi-stakeholder proofs-of-concept

Evaluate data and analytics maturity, architecture, and use cases to identify investment opportunities

Establish yourself as a Data & AI thought leader within the account team and contribute to account strategy

Collaborate with Sales, Partners, and Marketing to build differentiated Data & AI value propositions

Conduct technical and business dry-runs for strategic data platform and AI engagements

Transition successful opportunities to implementation partners and SAP Services with clear solution designs

Engage customers continuously to expand adoption of SAP Business Data Cloud and support renewals and upsells

Work with partners (GSSPs and niche service partners) with complementary capabilities to deliver comprehensive customer solutions

Proactively author and share thought leadership materials such as articles, case studies, and best-practice guides, and contribute insights to foster continuous learning within the SAP Data & AI expert community

What you bring:

Professional experience in enterprise software, cloud platforms, data, analytics, or AI

15+ years of experience in SAP Data & Analytics or cloud solution advisory (Databricks, Snowflake, Google, AWS, Azure, etc.)

Working knowledge of Cloud and SaaS / PaaS platforms; data warehousing, engineering, analytics, and AI / ML; and modern data and AI architectures

Experience with or exposure to SAP Business Data Cloud, SAP Datasphere, SAP Analytics Cloud, SAP Databricks, S/4HANA, or BW is highly desirable

Recognized as a data, analytics, or solution expert with a strong track record of customer success

Strong ability to build compelling data-to-value stories

Ability to understand customer business challenges and map them to data, analytics, and AI solutions

Strong executive presence with CIOs, CDOs, CDIOs, CEOs, CFOs, and senior management

High energy and passion for customer engagement

Skills you’ll use:

Professional Skills:

Business Acumen

Customer Orientation

Establishing Trust

Influencing Skills:

Effective Communication

Tech Industry & SAP General Skills:

Artificial Intelligence

Data Warehouse / Lakehouse

Analytics & Planning:

AI / ML

Data Strategy & Architecture:

Software as a Service (SaaS)

Process Improvement

Technology Innovation

SAP Cloud Suite Portfolio:

RISE and GROW with SAP:

SAP Corporate Strategy:

Role-Specific Skills:

Competitive Positioning

Customer Value Proposition:

Storytelling

Demonstration Skills:

Overcoming Objections

Executive Conversations

Technology Solution Adoption:

Client Needs Assessment:

Cloud Strategy

Demand Generation

PHOENIX, #BSO2X

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

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.

  • Requisition ID: 444350 | Work Area: Presales | Expected Travel: 0 - 30% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: Virtual
  • Asia-Pacific #

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About SAP

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4.1

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Work Life Balance

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Compensation

3.8

Culture

4.0

Career

3.4

Management

3.2

72%

Recommend to a Friend

Pros

Good work-life balance and flexible arrangements

Excellent benefits and compensation packages

Positive work environment and culture

Cons

Limited career progression and growth opportunities

Job restructuring and layoff concerns

Fast-paced environment requiring strong networking

Salary Ranges

3 data points

L3

L4

L5

L3 ·

0 reports

-

total / year

Base

-

Stock

-

Bonus

-

Interview Experience

5 interviews

Difficulty

4.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 40%

Negative 60%

Interview Process

1

Application Review

2

HR/Recruiter Screen

3

Phone/Technical Screen

4

Hiring Manager Interview

5

Onsite/Panel Interview

6

Technical Assessment

Common Questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

SAP-Specific Technical Skills