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SAP Data & AI Solution Advisor BTP 
Netherlands, North Brabant, 's-Hertogenbosch 
169032231

09.01.2025

What you'll do:


As the Solution Advisor (SA), you will be the go-to person for any Data & AI solution or product questions within the sales team. You will leverage your deep expertise in Data & AI solutions to support the entire sales cycle, from identifying opportunities to post-sale customer support. Additionally, you will assist customers in expanding their current SAP footprint to maximize value for their organization.


This encompasses:

  • Providing deep solution-specific expertise to support new sales and adoption for key customers
  • Providing both standard and customized/personalized solution demonstrations that bring SAP solutions to life and show customers the value of SAP.
  • Supporting the Account Team by delivering solution presentations and events to identify and qualify new opportunities and drive adoption and consumption of SAP solutions
  • Evaluating account qualification criteria to determine further investment in pursuing opportunities
  • Establishing yourself as a thought leader within the account team and fine-tune account strategy
  • Collaborating with the team in creating overall themes and competitive differentiation
  • Conducting vigorous dry runs on strategic deals and customer engagements
  • Transitioning engagement to implementation partner/ Services teams effectively
  • Engaging with customers to continue selling the vision of SAP solutions and ensure eagerness for renewal
  • Leveraging digital assets throughout the customer engagement, including demos, presentations, and other content


Your solution focus:

The Data & AI Solution Advisor (BTP) is responsible for:

  • Advising stakeholders on best practices and strategies for data management, data governance, and AI implementation.
  • Leading the design and architecture of scalable and robust data platforms tailored to specific business needs and objectives.
  • Collaborating with cross-functional sales, solution advisory and architecture teams to identify opportunities for leveraging company data to drive business solutions and implement AI technologies to increase customer satisfaction and operational efficiency.
  • Analying the latest industry trends and developments in data science, machine learning, and AI, and translate insights into actionable recommendations for the company.
  • Supporting feasibility studies and analyzing reports on new data technologies and architecture, ensuring their alignment with business needs.

What you bring:

  • Bachelor's degree or Masters in Computer Science, Data Science, (industrial) Engineering / Management Science, Analytics or a related field.
  • 5+ years of relevant experience in data strategy, data architecture, or data engineering.
  • Proven track record of deploying successful data platforms and integrating AI solutions in a business environment.
  • Strong understanding of database technologies, cloud platforms (AWS, Azure, Google Cloud), and data platforms (SAP Datasphere, SAP HANA Cloud, SAP BW, Databricks, Snowflake, etc.).
  • Proficiency with AI and machine learning frameworks and libraries (e.g. TensorFlow, PyTorch, Scikit-learn) is an advantage.
  • Excellent analytical, problem-solving, and technical skills.
  • Exceptional communication and interpersonal skills, with an ability to articulate complex concepts to non-technical stakeholders.
  • Viewed as a solutions/Lines of Business/Industry expert across SAP with a track record of success
  • Focus on creating compelling storylines and themes for customer interactions
  • Passion and energy in all customer interactions
  • Ability to drive opportunities in collaboration with Account Executives and Account Directors.


Meet your team:

  • Customer advocate: Collaborate to complement solution expertise and support customers
  • Solution and Architecture Advisory
  • SAP Account Teams: Share best practices and collaborate on providing solutions and services support across the entire customer journey.

Location: this role is based in the Netherlands because of customer proximity requirements and we can only consider candidates which will not require a relocation.