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Industry
Network security
Company size
1 - 10 Employees
Headquarters location
San Francisco, CA, US
$140 - $170/hr
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Job description
JOB TITLE: Program Manager – Data & Analytics POSITION NUMBER: 260821-0085-PM-DA POSITION LOCATION: Atlanta, GA, USA TRAVEL: As required to fulfill the responsibilities of the position
#J-18808-LjbffrASRT is seeking a Program Manager – Data & Analytics to provide overall leadership, governance, and contract management oversight. This role will coordinate surveillance data management, statistics, data science, programming, enterprise data platforms, and monitoring and evaluation operations into an integrated delivery model. The Program Manager will serve as ASRT’s primary management liaison with the Centers for Disease Control and Prevention (CDC) and will actively oversee staffing, schedules, deliverables, quality, risk, security, subcontractor performance, and financial performance.
MAJOR DUTIES AND RESPONSIBILITIES- Provide overall program management and contractual leadership for Task Area 2.
- Serve as ASRT’s primary management interface with CDC.
- Direct integrated performance across surveillance, statistics, data science, programming, and 1CDP/data-management workstreams.
- Develop and maintain integrated project schedules, workplans, staffing plans, milestones, dependencies, and deliverable calendars.
- Manage staffing, utilization, subcontractors, and cross-project dependencies.
- Monitor cost, schedule, technical performance, quality, staffing, and risk.
- Maintain risk, issue, action-item, decision, and dependency registers.
- Oversee monthly, annual, and executive reporting.
- Ensure compliance with CDC security, privacy, records management, Section 508, AI, EDAV/1CDP, and applicable EPLC requirements.
- Lead onboarding and task-order mobilization activities.
- Coordinate quality-control reviews prior to deliverable submission.
- Develop corrective actions and recovery plans when schedule, staffing, quality, or performance metrics are at risk.
- Facilitate executive status reviews, technical coordination meetings, and program-management reviews.
- Coordinate technical leads, statisticians, epidemiologists, data scientists, data engineers, and subcontractors.
- Maintain program dashboards and performance metrics.
Requirements
MINIMUM QUALIFICATIONS Education and Experience:- Master's degree in relevant disciplines may include Program Management, Data Analytics, Public Health, Business Administration, Information Systems, Data Science, or related field consistent with ASRT’s approved Management/Operations Business Program Manager LCAT.
- Master’s degree in Public Health, Business Administration, Information Systems, Data Science, or related field.
- Project Management Professional (PMP) strongly preferred
- Agile/Scrum certification desirable.
- 8 years of relevant program management experience.
- Experience managing multidisciplinary technical teams.
- Demonstrated Federal contract or task-order management experience.
- Experience managing schedules, risks, deliverables, staffing, and customer relationships.
- Experience managing multiple concurrent technical workstreams.
- 10+ years of Federal program management.
- CDC/HHS program-management experience.
- Experience managing public-health analytics, Health IT, data modernization, or scientific programs.
- Experience managing simultaneous workstreams and subcontractors.
- Knowledge of CDC EDAV, 1CDP, EPLC, or comparable Federal enterprise environments.
- Public-health surveillance data management.
- Epidemiologic data analysis.
- Data ingestion, cleaning, transformation, validation, and storage.
- Data-quality assessment and anomaly resolution.
- SQL-based data processing and workflow modernization.
- Reproducible analytical/data-management workflows.
- Data dictionaries, codebooks, SOPs, and technical documentation.
- Scientific and technical writing.
- SAS – intermediate to advanced proficiency required.
- R / RStudio – intermediate to advanced proficiency required.
- SQL / SQL Server or comparable relational database technology.
- Microsoft Power BI for surveillance monitoring and reporting.
- Microsoft Access and Excel desirable for legacy and operational data-management environments.
- Python desirable for automation and data processing.
- SharePoint for documentation and collaboration.
- Familiarity with Git, Azure DevOps, or comparable source/version-control tools desirable.
- Familiarity with CDC enterprise data platforms,surveillance systems, EDAV, or comparable environments desirable.
- The candidate must possess excellent oral and written communication skills in English.
Must be a United States citizen or permanent resident or have authorization for employment in the United States.
SALARY:Commensurate with qualifications and experience.
socket.dev
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A: To succeed as a Data Manager, key technical skills include proficiency in data management tools and technologies such as data warehousing, business intelligence software, and data visualization platforms. Additionally, strong analytical and problem-solving skills, as well as expertise in data governance, security, and compliance, are essential for ensuring data quality and integrity. Effective Data Managers also possess soft skills like strong communication, project management, and leadership abilities, which enable them to collaborate with stakeholders, prioritize tasks, and drive data-driven decision-making across the organization.
Q: What is the career path for a Data Manager?
A: A Data Manager's typical career progression involves starting as a Data Analyst or Coordinator, progressing to a Data Manager or Senior Data Analyst role, and eventually becoming a Director of Data Management or a Chief Data Officer. Key opportunities for skill development include learning data governance, data quality, and data visualization tools, as well as developing leadership and project management skills to oversee data teams and drive business insights. Long-term career prospects may lead to roles such as a Data Scientist, Business Intelligence Manager, or even a Chief Information Officer, offering opportunities to leverage data expertise in various business and technical capacities.
