Job Description

Introduction
A Technology Sales Engineer role (what we internally call a, 'Brand Technical Specialist') within IBM's Data & AI brand means accelerating enterprises' success by improving their ability to understand their data. It means providing solutions that enable people across organizations, in multiple roles, the ability to turn data into actionable insights without having to wait for IT. And it means selling multi-award winning software, and world-class design practices that enables business analysts to ask new questions. The answers to which are literally shaping the future and changing the world.

Excellent onboarding and an industry leading learning culture will set you up for positive impact and success, whilst ongoing development will advance your career through an upward trajectory. Our sales environment is collaborative and experiential. Part of a team, you'll be surrounded by bright minds and keen co-creators xe2x80x93 always willing to help and be helped xe2x80x93 as you apply passion to work that will compel our clients to invest in IBM's products and services.

Your Role and Responsibilities

The Brand Technical Specialists are the technical experts and advisors to clients, IBM sales teams and/or IBM Business Partners. As a Technical Sales Specialist, you will work closely with the clients to understand the business requirements, technical requirements and/or competitive landscape.

Your primary responsibilities will include to:

• Apply your business insights, build and maintain client relationships, incorporate IBM Data & AI portfolio into client-valued solutions and ensure client readiness for the implementation of technical solutions.
• Apply industry-specific knowledge and experience, as well as deep product skill and competitive knowledge to bring new business and technology insights to assigned clients, in order to help drive revenue for the Data & AI Solutions portfolio.
• Actively develop and progress opportunities within the Data & AI and Cloud Pak for Data portfolio, mainly around Data Governance, including IIS, Data Stage, Data Quality Optim, MDM, and WKC.
• Provide strategic direction to Executive decision-makers related to their Information Architecture to support business transformation and their journey to AI.
• Deliver solution workshops, product demonstrations, technical education, and Proof of Concepts while articulating business value for our Data & AI solutions.
• Enable, support and work with the Business Partner ecosystem.
• Develop re-usable industry-specific assets and demonstrations.
• Collaborate with other internal IBM teams to drive unmatched customer satisfaction.
• Establish deep technical account relationships at each client site.
• Maintain an understanding of the clients industry, including industry trends, industry business processes
• Collaborate with IBM sales teams to define, design, and detail the technical aspects and feasibility of proposed solutions.
• Support customer technical escalations, on-site health checks, best practice sharing, designing solutions; and answer technical questions throughout the sales process in order to identify/progress/close sales and develop customer relationships.

• Fluent in English
• 5+ yearsxe2x80x99 experience in Information Architecture, Datawarehousing, ETL, Data Integration and Information Governance with hands-on engineering or field technical sales experience
• Skilled in IBM Hybrid Data Management Portfolio, including IBM Information Server, IBM Data Stage, IBM Data Quality, MDM, and Watson Knowledge Catalog
• Demonstrated level of business acumen as it applies to the client's business
• Skilled in consultative selling, with an understanding of the client's needs and IBM capabilities
• Commercially minded and capable of supporting end-to-end sales engagements with the ability to think, plan and act strategically
• Extensive networking and interpersonal skills in complex environments
• Self-starter with eagerness to seek and build new skills

• Experience using and developing infrastructure solutions including but not limited to: Big Data, Replication, Change Data Capture (CDC), DB2 warehouse, BigSQL
• Experience with enterprise scale distributed solutions/databases including but not limited to: DB2, PostGre SQL, MongoDB, Cloudant, etc.
• Knowledge of Hadoop marketplace including offerings of Cloudera, Hortonworks, MapR
• Experience with Appliances like Netezza, IIAS, IDAA
• Experience with cloud native solutions
• Experience with IBM Cloud Paks

IBM