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At age 25, Nathan has got 3 years of experience and is a team leader in the applications division of his company's IT group.
The company where Nathan works does financial services with offices all over the place, but Nathan's apps group is based in Charlotte. He has three people on his team and they all report to Sajeev who runs one group within Internal DataServices Engineering. Sajeev gets regular requests from Corporate Strategy and Corporate Intelligence to build tools that help the company better understand what's going on with their customers. Sajeev specializes in data mining and is really good at figuring out practical ways of extracting and presenting really complex data models simply. Nathan has learned a lot from him and eventually wants to become an information architect. |
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Nathan has a meeting with Sajeev and the two
other team leaders. They are dividing up the
workload on a new project. By the time the
meeting is over, Nathan has 73 man-days worth
of engineering work for himself and his team.
They have to figure out several different
kinds of data transformations that will produce
properly formatted XML documents and write
the app components that will drop into the
overall project. The other teams will handle
UI implementations and some library clean
up, and incremental builds.
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After the meeting Nathan jumped right into
the MS Project Plan for this project (code
named "Vixen") and already had it
about 60% done by 12:30. He went to lunch
with Renee and Jerry. Van from another team
in his group joined them. They talked about
taking an in-house training on JavaBeans,
Nathan's cousin in Seattle who was working
on .NET web services, a new video game, and
Renee's latest story from her Tae Kwon Do
class. She was a green belt.
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By 3:00 Nathan had finished the work breakdown
planning and project schedule for his team.
They met and all agreed that the project was
feasible and were excited about the work.
In under 2 months time, using Vixen, Corporate
Strategy would be able to randomly profile
their over 18 million customers by 9 different
demographic metrics and get 3D visualization
of their spending and saving behavior. Pretty
cool!
Nathan particularly liked Vixen because he
would be coding a lot and he would also meet
regularly with the UI implementation lead.
The two of them would be making design recommendations
to Sajeev, instead of the other way around.
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The individuals and events depicted in the Day-in-the-Life profiles are likenesses created to reflect situations that may be encountered while working in the respective fields or positions and are not intended to reflect or represent specific individuals, jobs, positions or situations.
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