IBM IBM Hybrid Cloud Data Management Specialist in JAKARTA, Indonesia
The Hybrid Cloud Data Management Specialist role is part of IBM Hybrid Cloud Client Technical Engagement ASEAN team. He/she facilitates the development of an information strategy and Analytics roadmap for the client based on their initiatives. He/she collaborates with other involved IBM organizations to formalize the short-term and long-term Analytics and AI strategies for account growth enhancing the technical and analytic architecture of the solution. It is the goal of the Hybrid Data Management Specialist sit on customer architecture boards as a senior technical advisor to our customers. Building this level of relationship with our enterprise customer base is critical and requires the Architect to be able to operate and be credible from the C-Suite to the hands-on development teams in the customer project environments. It is critical therefore; that the Analytic Architect is experienced in the full enterprise information life cycle as a practitioner who is sought after with the ability lead critical customer engagements in the field.
The Hybrid Cloud Data Management role has both strategic and tactical responsibility for designing, developing and leading complex technical & business architectures within enterprise class customer environments worldwide. This position supports sales and leads deployment of projects in both pre-sales and post sales while acting as an advisor to sales, services, and customers alike. The HDM role possesses deep and broad technical skills across the entire IBM Analytics product line including Big Data, Hadoop/Open Source, Datawarehouse, InfoSphere, Data Governance, Data Integration, SPSS, Watson Analytics, DSX, Cloud and Hybrid Cloud technologies. The Hybrid Cloud Data Management is a practitioner with years of experience at an enterprise level possessing a broad understanding enterprise architectures and systems from an infrastructure level to enterprise applications level; to Data Governance level bringing deep knowledge of Analytics best practices and methodologies.
Specific position requirements include:
Be knowledgeable about the customers’ business model, technical Infrastructure, challenges and industry and help the client build their AI Agenda
Demonstrated experience in one or more vertical Industries (Banking/Financial, HealthCare, Telco, Aerospace, Automotive, Consumer Packaged Goods, Travel, Entertainment, Retail, Public/Federal, etc)
Ability to lead Information Architecture at a customer CIO level in the field, accountable for designing a technical infrastructure that is aligned to the client’s AI Agenda
Selecting the best offering that fits the environment
Articulating the business value of the architecture and design
Integrating of the proposed solution with the existing application and middle-ware infrastructure
Be responsible for leading the engagement supporting sales and launching CTE (software services) teams through the full product and project deployment life cycle.
Ensuring that the solution designed can be implemented and is handed off to the deployment lead
Audit and manage the technical architecture from end to end.
Develop relationship with the customer and gain references.
Be accountable for leading the extended IT and Analytics team to deliver solution proof points and negotiating the scope of technical proof points like POC’s and Data First Method engagements.
The Hybrid Cloud Data Management Specialist must engage customer early together with IBM sales team. Being able to conduct quick discovery workshop by analyzing the customer needs and requirements to understand the business problem in terms of both the long- and short-term analytics problem. Once a complete understanding of the problem is achieved, it is up to the Architect to take a "holistic" view of potential solutions and, based on years of experience, pull together the right mix of tools and techniques to solve it.
Required Technical and Professional Expertise
• Min 10 years of Enterprise Technical Experience, preferably in large-scale Enterprise Application software and analytics solutions.
• Experience & proficiency in analyzing integration requirements and documenting proposed solutions.
• High energy level, professionalism, strong presentation skills & superior communication skills.
• Strong leadership skills, consistent record of delivering projects on time, quickness to learn & adapt to changes.
• Demonstrated understanding of best practices & methodologies as described above.
• Demonstrated experience in real world design & deployment of working solutions.
• Processing deep and broad technical skills across the entire IBM Analytics portfolio including Hybrid
Data Management, Unified Governance and Integration, Data Science and Business Analytics.
Preferred Tech and Prof Experience
- Demonstrate vertical industry knowledge (Banking/Financial, Insurance, HealthCare, Telco/Comms, Industrial/Distribution, Retail, Life Sciences, Aerospace, Automotive, Consumer Packaged Goods, Travel, Entertainment, Public/Govt/Federal)
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, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.