Cloud Analytics Specialist Master

Responsible for working with various business and technology teams to deploy cloud-based data platforms. Develop a strategy to determining the solution’s architecture, evaluating cloud products and making key recommendations for the cloud platform. Monitor the cloud platform post-implementation to ensure the platform is meeting all defined metrics (performance, reliability, etc.).

The Team

AI & Data

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The AI&D team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

AI & Data will work with our clients to:

Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms

Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions

Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

Qualifications

Required:

• 6+ years experience with relevant technology consulting experience to include, enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management

• 2+ years experience as a technical lead and/or architect for custom app and AI based solutions

• 3+ years experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), IBM OCP and others

• 2+ years experience with large-scale application portfolios in enterprise-wide environments (including migration of on-premise workloads to the cloud), especially in Life Sciences and HealthCare

• 6+ years of proficient experience in architecting and managing HIPAA complaint platforms that support data strategies that comply to HL7 & CMS standards of electronic data exchange protocols like FHIR, C-CDA, OMOP etc

• 2+ years of product engineering experience to be able to deliver cloud agnostic end-to-end market ready SAAS / PAAS solutions that can be easily integrated to enterprise data warehouses and security frameworks

• Bachelor’s Degree in any of Computer Science, Statistics, Data Science or equivalent professional experience

• Travel up 50%

• Limited immigration sponsorship may be available.

Preferred:

• Experience building architectures with real time data movement or edge devices that use security and encryption protocols while data is in transit (ie: connected devices/sensors)

• Deep domain expertise of cloud infrastructure solutions (i.e. Windows and Linux IaaS, SAP, BCDR, Security, Management, Storage, Networking, OSS, containers and Infra as a code technologies)

• Knowledge of cloud development platforms

• Understanding of the security aspects of cloud architecture

• Experience in all aspects of data governance and data engineering

• Ability to orchestrate, lead, and influence virtual teams, ensuring successful implementation of customer projects

• Presentation skills with a high degree of comfort with both large and small audiences

• Demonstrated experience driving both the sales cycle by taking the lead in framing out client opportunities and leading the pursuit team to create the proposal content for client discussions

• Demonstrated experience with management and delivery of multiple strategic engagements for large global organization

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