SME (Subject Matter Expert) Brand Technical - Information Architecture

• Sharing knowledge and expertise: A team SME is responsible for staying up to date with the latest developments trends and best practices IA (AI Data Fabric & Data Management) and sharing this information with the team.
• Providing guidance and mentorship: The IA SME helps team members develop their skills knowledge and abilities providing guidance on opportunities tasks projects and career development.
• Collaborating with other SMEs: A team SME often works closely with other SMEs within the organization sharing knowledge resources and best practices to ensure the team has access to the necessary support and expertise.
• Facilitating communication and collaboration: The SME helps the team communicate effectively ensuring that everyone understands the goals objectives and challenges of the project and how their work contributes to the overall success of the team and organization.
• 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.
• Ensuring quality and consistency: The SME ensures that the team’s work meets the necessary standards of quality accuracy and consistency providing feedback and guidance as needed to address any issues or concerns.
• 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 client’s 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.

Required Technical and Professional Expertise

• Experience delivering MVPs pilots or delivery projects with clients in watsonx.
• 2 to 3 years of technical experience in the IBM DAI product portfolio
• Experience in Information Architecture Data warehousing 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.
• Watsonx skill level 4.
• 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.

Preferred Technical and Professional Expertise

• Experience in technically showcasing and implementing IBM watsonx solutions.
• Relevant IBM architect or specialist certification at level 2.
• Experience using and developing infrastructure solutions including but not limited to: Big Data Replication Change Data Capture (CDC) DB2 warehouse Big SQL.
• 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.