Senior Data Services Development Management Support

Title: SR Data Services Development Support (KEY)

Clearance: Active TS with SCI Eligibility

Education: B.S. degree in Computer Science, Software Engineering, Mathematics, or a comparable analytic field

Experience: At least five (5) years of government Information Management and/or equivalent experience

Location: Remote

Description

Ability to define and drive development teams in an agile environment to tie data services implementation to EIDS program direction

Ability to understand technical implementation details to integrate software development with Intelligence CDO strategic objectives

Ability to communicate data concepts with stakeholders to define Intelligence Data Domain Data Management Support

To support Coast Intelligence as referenced in Task 2.0 of this PWS. In addition, personnel requirements and support includes:

Ability to define and support the implementation of data governance activities including definition of Intelligence Data Domain roles and datasets

Ability to scope and gather metadata to define datasets and assign roles and responsibilities

Personnel requirements and support include:

Ability to work with development teams to define metadata associated with existing dataset to populate governance tools

Ability to understand and integrate policy requirements to manage datasets such as quality, internal use, and sharing Data Services Engineering

Personnel requirements and support include:

Ability to understand the implementation of security requirements in a data environment

Evaluate the application of security and policy requirements in the data services environment and integration with IC partners to receive and share data

Ability to understand the data services environment and provide recommendations to drive the implementation of the capability in the cloud to achieve data operational and sharing objectives

Change Management Support

Personnel requirements and support include:

Ability to plan change management to transition the intelligence workforce to a data centric operating model.

Ability to engage stakeholders and gain buy in to achieve Intelligence CDO objectives.