678 words, 2.5 minutes read. By Gerard Blokdyk
Cloud Adoption Framework 1 big thing: Support initiatives and special projects of other Information Systems teams with priority.
The big picture: Make sure the Climate Corporations data scientists and analysts expertly combine complex data layers (agronomic, grower, supply chain, commercial, clickstream, satellite imagery, genomics, weather) and continually investigate, experiment, and find insights that drive your mission.
Why it matters: Establish that your company is involved in leading the definition of cloud adoption strategies for large scale enterprise data and analytics solutions and use cases.
Be smart: Be confident that your team drives adoption and compliance of security standards across development and infrastructure teams both inside of and under contract with your organization.
Under the hood: Interface so that your process is identifying motivators and drivers for cloud adoption and unlocking business value for your (internal) customers; Creating compelling business cases for the transition to the cloud.
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What they’re saying: “Be sure your process leads customer/partner projects that implement technical architecture(s) to enable a breadth of highly advanced and complex solutions.“, Director of Vendor Management
Between the lines: Lead internal skills development activities on new technologies and solutions driven by cloud DevOps requirements, by providing mentoring and by conducting knowledge sharing sessions.
What to watch: Ensure that the architecture and design of information systems are functional and secure, including the program of record systems and special purpose environments with platform IT interconnectivity.
Yes, but: Lead bi weekly public cloud review meetings with each LOB to review demand pipeline, current initiatives, and risk/issues pertaining to upcoming deliverables.
On the flip side: Secure that your company is responsible for the design, review, evaluation and strategy of architectures, and construction of cloud service provider environments that are consistent with architecture principles, standards, methodologies and best practices.
Go deeper: Develop experience working directly with (internal) customers to drive adoption of best practices in data analytics system architectures, resolving database, systems and infrastructure related issues.
State of play: Apply technology expertise (Azure Cloud, Applications, Datacenter services, Network and Service management), Industry best practice and innovative ideas to architect/design solutions, evaluate multiple options to meet (internal) clients business requirements.
What we’re hearing: “Interface so that your organization provides technical expertise in the analysis of (internal) clients requirements and objectives to develop IT services offerings that provide significant value to the geography, which also includes recommending solutions and assisting account teams with development of proposals, quotations, and presentations.“, Sourcing/Procurement Specialist
The bottom line: Establish that your workforce creates functional strategies and specific objectives for the sub function and develops budgets/policies/procedures to support the functional infrastructure.
What’s next: Work on multiple projects utilizing agile methodologies to provide target state solutions that best fit the business requirements and align to enterprise goals.
ICYMI: Provide strategic and technical activities to support the development of a Sponsor integrated data management architecture baseline aligned with Sponsor and Sponsors partners data management activities, identify opportunities to integrate new data management and analytic technologies to enhance data discoverability, and provide technical guidance to drive Sponsor cloud adoption.
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