Job Details:
Experience: Not Applicable
Job function: Sales
Employment Type: Full-time
Job Description:
IBM’s Analytics Platform business unit is looking for Technical Sales Specialist professionals to join the team. You will be at the forefront bringing Big Data solutions to our clients based on a comprehensive product portfolio that delivers trusted information to the business.
You are IBM’s technical sales consultant to our clients and the technical sales support for IBM sales teams. You will learn the client’s business requirements, technical requirements, and apply industry-specific knowledge and experience as well as deep product skill and competitive knowledge to bring new business and technology insights to your assigned clients.
In this role you will be expected to deliver and develop technical activities to our customer via:
•designing, discussing and implementing tooling and process solution architectures based on customer needs
•performing discussions and presentations with technical-oriented end users, project managers and business managers
•performing presales demonstrations
•coordinating proof of technologies and proof of concepts
•supporting training and consulting in post-sales tool and processing deployment situations
•supporting marketing events
Additional Responsibilities Include:
•Articulating technical benefits of IBM’s Analytic Platform portfolio products, solutions and services to all levels in customer’s organization
•Identifying client’s business and technical requirements
•Supporting sales in developing technical strategy for the engagement with the client
•Developing and delivering effective Senior Management presentations, whiteboards and demonstrations
•Facilitating and delivering customer demonstrations on products and solutions; web-ex and through live sales calls
•Assisting with Request for Proposal (RFP)/Request for Information (RFI) and other technical questionnaires
•Attending trade shows, sales calls, seminars, and events, as the technical expert of Analytics Platform solutions, and prototyping activities
•Building and maintaining relationships with key decisions makers and influencers on the client side to be their trusted technical advisor
Key Attributes:
•Technical experience with IBM IM software or similar/competitive non IBM Software
•Leadership and demonstrated teamwork skills
•Demonstrated communication and interpersonal skills with technical aptitude to deliver powerful, succinct, convincing, and customer-focused presentations at all levels of an organization
•Demonstrated negotiation, problem solving, and presentation skills
Key Skills:
•Hands on experience with RDBMS and SQL
•Experience in information integration eg. using IBM Information Server
•Knowledge of Pure Data for Analytics (powered by Netezza)
•Field experience in at least one major industry
•Knowledge of competitive offerings in the Data Warehousing space
•Competent in engaging, negotiating, discussing, and presenting with C-level executives
•Ability to articulate client value and how the IBM solution maps to the customer’s business requirements
•Experience with a formal sales process
•Communication, leadership and teamwork skills
•Knowledge of different architectural approaches to warehousing including hardware and software elements
•An understanding of Extract, Transform, Load (ETL) and data integration methodology for consolidating data into the data warehouse is a plus
•An understanding of market offerings around Data Mining, In-Line Analytics, dashboards/scorecards, and Operational Business Intelligence as well as Hadoop and Real Time Warehousing is a plus
Required:
Bachelor’s Degree
At least 2 years experience in technical sales
At least 3 years experience in experience in Unix, SQL and RDBMS
At least 1 year experience in one or more industries (i.e. Banking, Healthcare, Government, Telecommunications, Retail)
English: Fluent
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, genetics, disability, age, or veteran status.
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