Consulting Architect - Hadoop & AI
At Hewlett Packard Enterprise (HPE), we live by three core values that drive our business: Partner. Innovate. Act. These values combine to help us create important work all over the world to advance how people live and work.
Our new innovative IT services organization is HPE PointNext. We have the expertise to advise, integrate, and accelerate our customers’ outcomes from their digital transformation.
The AI/Big Data Consulting Architect will architect and develop analytics solutions to deploy and operate Big Data-as-a-Service and AI-as-a-Service platforms. This individual will require deep understanding of the rich data sources and Big Data/AI/ML/DL Applications from a variety of industries in order to define the appropriate analytics architecture to satisfy client needs. In addition, this individual will manage and oversee large-scale deployments of our key clients globally.
Design, architecture and deployment of Big Data as a Service solutions using BlueData’s EPIC platform and AI platforms.
Lead discussions on how to enable useful insights, predictive success and actionable interpretations from the Big Data Applications sitting on top of the EPIC platform.
Work across different business units to translate their business requirements into technical functional specifications.
Work across different platform/system owners and vendors to craft out best deliverable solutions, balancing the scope, cost and timeline. Coordinate, supervise, and quality control the work of the Solution through-out the Project period.
Act as a lead technical project manager and technical architect throughout the entire engagement
Assist clients in the evaluation and recommendation of all potential AI/Ml/DL/Big Data Use Cases technologies or solutions based on technical capability, functionality, cost vs benefit and risk criteria.
Interact with clients’ Data Scientists, Data Analysts and Business Intelligence teams in developing the most effective analytics and advanced algorithms models that lead to optimal value extraction from the data
Lead the training/education activities in all deployments
Develop Solution Requirements, Solution Architecture, Deployment and test plans for all projects.
Participate in pre-sales activities when needed
Work with product management and engineering in ensuring project delivery success
Develop and evolve BlueData’s Engagement Methodology
Assist in the creation of materials for new professional services, educational services or managed services offerings
Deliver ROI analysis, Use Case workshops and assessment consulting engagements
10+ years of experience minimum working in a Professional Services and/or Systems Integration Organization.
Extensive experience in Big Data deployments and technologies (e.g. Docker containers, virtualization, Machine Learning, Deep Learning, Big Data Applications, Security, Access Controls, Network) as well as a proven track record in managing and leading complex projects. Collaborating with internal and external stakeholders/clients is a must for this role. The candidate is a team player who works as a problem solver and thought leader.
10+ years of experience consulting, delivering and managing Big Data / Data Analytics projects.
Deep understanding of complete end-to-end DataWarehouse / Business IntelIigence / Data Analytics solutions.
Advanced experience in requirements gathering, data modeling (ER, Dimensional), logical/physical design, ETL technology, programming and performance tuning.
Competent in Internet and related technologies - HTML, Perl/PHP, CGI scripting, Python, Java, Java script, Java servlets, XML, XSL, JSON a plus.
Ability to describe ideas in a concise manner. Able to make commitments and follow through.
Experience in leading cross-departmental virtual teams. Familiarity with working across multiple and virtual settings.
Masters/Bachelor in Computer Science, Information Management, Informatics or Engineering with experience in a related field
with at least 3 years of experience in analytics domain. Knowledge and experience in Data Mining, Machine Learning,
Statistics, Operations Research or related field would be an advantage.
self-driven as well as ability to work in a team setting. Good communication, interpersonal and negotiation skills are essential.
Willing to travel at the most 30% around the world.
Closing Date: 7th August 2019
Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.