SLC Presales Solutions Architect

Mendix is a low-code app development platform:

First, what is low-code? Low-code is a visual approach to software development that enables you to abstract and automate every step of the application lifecycle. Gartner predicts that “by 2024, low-code application development will be responsible for more than 65% of application development activity.”

Mendix, the global leader in enterprise low-code, is fundamentally reinventing the way applications are built. The Mendix platform was created to promote collaboration between Business & IT teams so that an entire organization can participate in the application development process. With Mendix, thousands of forward-thinking companies around the world like Ford Auto, Zurich Insurance, Freshfields, and Red Bull, can unleash their best ideas quickly. 

Mendix is repeatedly ranked a Leader in analyst reports from Gartner and Forrester. In the 2021 Gartner® Magic Quadrant for Multiexperience Development Platforms, Mendix placed at the very top of the Leaders quadrant. 

Mendix is a Siemens Business:

Siemens is a Top 10 Global Software Company and a leader on Fast Company’s Most Innovative Companies in the World! With the acquisition of Mendix in 2018, Siemens Digital Industries Software is driving transformation to enhance the digital enterprise where engineering, manufacturing and electronics meet the future of innovation. Mendix employees have the opportunity to work in a hyper-growth environment with the support of Siemens’ unbeatable legacy and resources. 

Siemens DISW SLC provides a complete replacement for SAS language environments with low code/no-code tools that allows SAS customers to move to a flexible, modern analytics platform with minimal business impact. SLC runs programs written in SAS language without translation or any third-party products or SAS Institue licenses required. Its support for Python, R, and SQL and the ability to combine program modules built in any of these languages — makes it the perfect way to facilitate major migration projects as well as maintain libraries of SAS language programs at reduced cost.

Siemens DISW has recently split its global selling model into zones, and with change comes opportunity! We are seeking a highly motivated individual to lead SAS technology replacement in the Americas and Canada for the SLC product line. The SLC PreSales Solution Architect is a role requiring ramp up to become proficient in all aspects of an SLC migration project, while at the same time helping to scale an Americas based selling practice.

Ideal candidates will already be proficient with the SAS language, either in a previous presales role or having played a key technical role in the one or more enterprise SAS implementations.  The main goal is to assist the sales team in selling structured SAS Technology migration projects that will enable Siemens’ clients the ability to continue programming in the SAS language but also utilize a more modern data science and modern data analytics platform.

Key facets of the role will span the full customer lifecycle from sales pursuit through implementation and support of the platform and include business acumen, functional and technical skills.

Day to Day Operations Where you’ll make an impact

·       Qualify deals through collaboration with the Sales as a whole which may include selling partners.

·       Establish an effective working relationship with Sales and Services to assist in all stages of deal closure

·       Perform discovery in a customer SAS environment, determining which algorithms will convert out of the box and which will require manual adjustment

·       Help Services create Statements of Work (SOW) that summarizes discovery and captures the effort and scope needed to reliably deliver an SLC project

·       Analyze current customer SAS architecture and design an potential target migration proposal for SLC

·       Work with product management, support and engineering to new major, minor roadmap activity

·       Study and understand custom solutions of the clients and build a similar solution in SLC or use open-source technologies (R, Python) to achieve similar or better results

·       Attend customer meetings and be the face of Siemens DISW SLC

·       Travel is required to either meet directly with clients or as part of a selling team for presentation and demonstration. This is 25-35% time overall as-needed basis

·       Manage demands of Sales pipeline activity and triage your own time and getting help just ahead of need

·       Design and create SLC related demonstrations, Proofs-of-Concept (POC), and evaluations that clearly illustrate how to apply Dataiku to deliver the required customer value.

·       Work closely with Siemens services and other partners to ensure enablement at all stages of the sales cycle.

 What You Will Need:

7+ years’ experience in various facets of presales in enterprise selling

3-5 years experience directly with SAS environments

Seasoned in all facets of customers interaction and communication

Knowledge and experience of data architecture, data processing, database systems and analytics

Knowledge of the SQL language and other business analytics tools and languages

Nice to Haves

Experience administering SAS platforms like SAS Grid.

Knowledge of mainframes, AIX and Linux

Knowledge of SAS based mainframe reporting packages like MICS and MxG

Liaise with different teams - Engineering, Database, Support, Cloud, Testing, QA, Documentation.

Data science programming languages (R, Python).

Experience with Cloud Computing technologies like AWS/Azure/GCP/OCI and/or Docker/Kubernetes  is desirable.

How You Will Be Successful:

Envision the Future

Communicate Often, Honestly and Broadly 

Seek Technology and Business “Firsts” 

Embrace Diversity and Take Risks 

Proactive Face to Face Customer interactions

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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