Real-World Data Program Manager

Booz Allen Hamilton•Washington, DC

2d•Remote

About The Position

As a leader on our team, you’ll implement and maintain organizational programs in support of empowering our clients in achieving their mission and objectives. As the Program Manager, you’ll support a portfolio of data linkages associated with Federal and non-federal datasets. You’ll interact with a variety of stakeholders to lead and manage a secure federated cloud service environment, data linkages, program operations, and Privacy-Preserving Record Linkage (PPRL) initiatives for Federal projects.

Requirements

5+ years of experience as a project or task lead
2+ years of experience with risk management, quality assurance, and maintaining data security for federal datasets
Experience with multiple technologies, network devices, hardware, and software
Experience leading tasks or projects at or for a federal agency or organization
Knowledge of federal procedures and standards pertaining to program operations
Knowledge of federal security policies, procedures, and standards
Knowledge of federal communication policies
Ability to oversee stakeholder management, data governance, technical assistance and program dissemination
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

Nice To Haves

Experience with CMS data
Experience in managing enclave technical and security matters
Knowledge of AI/ML methods for linkage optimization
Knowledge of emerging technologies and automation tools for data linkages and PPRL processes
Possession of excellent verbal and written communication skills
PMP, CMMI, CISSP, CISM, or SANS GSNA Certification

Responsibilities

Reviewing requests for linked datasets from various studies
Establishing and maintaining a website to share program information and resources with end users
Delivering technical assistance, support, and training to data users and project management
Leveraging automation tools and AI-enabled solutions to enhance operational efficiency, data governance, and user support