Data & Analytics BTP Solution Advisor Senior Specialist
Vimercate, IT, 20871
SAP
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At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.
As a Data & Analytics BTP Solution Advisor Senior Specialist, you will be the go-to expert for Data & Analytics solutions within our Customer Advisory organization. You will leverage your deep expertise to support the entire sales cycle, from identifying opportunities to post-sale customer support, and assist customers in expanding their SAP footprint.
This position will have responsibility for defining and positioning implementation services across the entire BTP portfolio for Data Management & Analytics.
The primary goal of this role is to ensure the customer's vision for deployment is successfully transitioned from pre-sales through implementation and go-live.
Key Responsibilities:
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Provide solution-specific expertise to support new sales and adoption for key customers
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Deliver standard and customized solution demonstrations
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Support the Account Team in identifying and qualifying new opportunities
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Evaluate account qualification criteria and fine-tune account strategy
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Collaborate on creating overall themes and competitive differentiation
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Conduct dry runs for strategic deals and customer engagements
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Transition engagements to implementation partners effectively
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Engage with customers through impactful storytelling
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Leverage digital assets throughout customer engagements
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Advise on best practices for data management, governance, and AI implementation
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Lead the design of scalable data platforms tailored to business needs
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Analyze industry trends in data science, machine learning, and AI
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Support feasibility studies on new data technologies
Requirements:
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Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
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7+ years of experience in data strategy, architecture, or engineering
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Proven track record in deploying data platforms
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Strong understanding of database technologies, cloud platforms (AWS, Azure, Google Cloud), and data platforms (SAP Datasphere, SAP HANA Cloud, SAP BW, Databricks, Snowflake, etc.).
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Expertise in cloud data warehousing, data lakes, and advanced analytics using SAP's cloud solutions
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Proficiency with AI and machine learning frameworks and libraries (e.g. TensorFlow, PyTorch, Scikit-learn) is an advantage.
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Understanding of multi-cloud and hybrid-cloud environments
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Knowledge of SAAS/PAAS/IAAS models and cloud-based commerce
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Excellent analytical, problem-solving, and communication skills
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Ability to articulate complex concepts to non-technical stakeholders
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Fluency in English and Italian.
Location:
The position is available in both our Vimercate and Rome locations.
#ECSM-EMEA
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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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.
EOE AA M/F/Vet/Disability:
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: 415598 | Work Area: Presales | Expected Travel: 0 - 30% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Computer Science Databricks Data management Data strategy Data Warehousing Engineering GCP Google Cloud Machine Learning PyTorch Scikit-learn Snowflake TensorFlow
Perks/benefits: Career development Flex hours
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