Work Area : Sales
Expected Travel : 0 - 10%
Career Status : Professional
Employment Type : Regular Full Time
SAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done.
Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures.
SAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all.
We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because it’s the best-
run businesses that make the world run better and improve people’s lives.
Key Areas of Responsibility and Tasks
In the context of Digital Transformation, customers are looking at unlocking value from extensive amounts of data generated by business applications, things & social interactions.
SAP has the unique ability to partner with customers in this journey with the capabilities of the Analytics & Data Management Platform powered by SAP HANA.
The role of Advanced Analytics Expert and Data Scientist to co-innovate with customers in Taiwan in generating insights through their data using SAP Data Management Platform, architecting target solutions and creating a roadmap.
Data Scientist Advisor has basic understanding of SAP Solutions, their features and functionalities. Provides sales cycle support on solution / LoB specific solutions.
Is responsible for key activities during the awareness and (re) consider phases of the customer lfecycle. Responsible for identification and Implementation of solution / LoB pipeline build strategies and scale initiatives resulting in increased solutions / LoB pipeline, revenue, and elevation of SAP’s leadership position in a Data Scientist segment for both Software and Cloud environments cross-
industry and customer segment. Understand our competitive advantage for customers and prospects. Execute scalable program / activities in focused solution / LoB segments.
Internally recognized senior on complex solution / LoB business matters. In addition, may provide focused support to sales and the VAT during the evaluate and select phases of the lifecycle, extending the solution expertise of the team, where needed.
Area 1 : Performance of a customer facing role & support the Taiwan Market Unit in driving the sales process by architecting big data solutions, creating insights based on massive amounts of customer data using Advanced Analytics tools like SAP HANA, SAP Cloud Platform & SAP Leonardo Big Data & Machine Learning and create a long term roadmap for the customer.
Area 2 : Utilization of industrial insights to Understand the requirements by working with customers or Presales Specialists in the MU.
Work collaboratively to architect and implement data-science solutions, mapping the data processing flow from raw data or data stores, to identifying optimal data analytics approaches, to data visualization and working with users to optimize the business results.
Area 3 : Presentation of solutions, architecture and roadmap with AI flavors to customers and help the account team to progress the deal.
Demonstration of thought leadership on Deep Learning technology and elaborations of SAP Intelligent Enterprise strategy in alignment with cutting edge market trends.
Area 4 : Identification and execution of sales strategies and programs; act as a senior advisor in SAP’s solutions / LoB portfolio and serve as a primary conduit between global / regional Data Scientists, Solutions Management, and field sales organizations to oversee, influence and track the execution of key solution / LoB field sales priorities.
Area 5 : Influence and implement solution / LoB strategies in targeted sales cycles with predictive industrial analytics.
Help develop comprehensive Data-driven strategies to engage partners in areas such as business development, packaged solution development and solution cross-selling.
Tasks : Adopt Data Scientist approaches for Intelligent Enterprise based sales activities on focus industries / solutions.
Act as trusted advisor for internal and external customers. Coach internal customers on Machine Learning applications with SAP solutions and how to position them with our clients.
Maintain awareness of AI and Intelligent Insights and factor this knowledge into all activities and materials.
Experience & Language Requirements
Prior experience with software / IT organizations and with a demonstrated proficiency of at least one solution / LoB segment (e.
g. through Solution Management, Sales, Presales, Consulting or Business Development roles). SAP product experience and / or year’s prior relevant solutions / lobe experience.
Working knowledge of cloud in the B2B environment. Exposure to machine learning Data Modelling (R, Python, Tensorflow, Scikit learn, MLlib etc) Experience in Hadoop tool sets (HIVE, Spark, Kafka, MapReduce etc) Applied domain know-
how in solving business problems in Statistics, applied mathematics or operations research is preferable. Capable of leveraging a professional network on behalf of SAP resulting in pipeline and revenue growth.
Proven track record of success in the selected industry area. Customer facing experience. Fluency in Mandarin & English, any other language an asset.
Fluency in the language of local markets desirable.
Bachelor’s degree (or equivalent) required, Math, Statistics, CS, Engineering or equivalent degree required from accredited university preferred
WHAT YOU GET FROM US
Success is what you make it. At SAP, we help you make it your own. A career at SAP can open many doors for you. If you’re searching for a company that’s dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment apply now.
SAP'S DIVERSITY COMMITMENT
To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.
SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and / or mental disabilities.
If you 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 (Americas : Careers.NorthAmerica sap.com or Careers.LatinAmerica sap.
com, APJ : Careers.APJ sap.com, EMEA : Careers sap.com).
Successful candidates might be required to undergo a background verification with an external vendor.
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