Create and establish enterprise technology and architectural standards, roadmaps to support strategic IT direction using emerging technologies.
Coordinate and integrate applications, infrastructure, data and processes to support improvements.
Develop and maintain processes and services designed to maintain ongoing alignment with overall customer goals and strategies.
Analyze impact of changes on overall program and provide guidance and solutions in case of any challenges.
Support Project Managers across program with creation, execution and review of the project and make sure schedules are met.
Guide and support overall program innovation and technology to meet client requirements and strategic roadmap.
Guide and support teams on Troubleshooting calls and help with identifying root cause and address production issues quickly and effectively.
Required qualifications include:
Master’s degree and 10+ years of related experience; or 12 years related experience in lieu of masters degree; (Bachelors required)
7 or more years of data science experience; 3 or more years in Cloud setting;
Certifications - Data Science and Cloud-Native data science specializations;
Expertise in data science and data wrangling best practices, tools, and techniques
Expertise in Artificial Intelligence/Machine Learning using Deep Learning Frameworks, Analysts Notebooks, and Spark/Python/R Libraries
Experience working with large data sets including data integration, data migration, analysis and visualization
Experience with cloud-native data analytic solution architectures
Must have an active Top Secret security clearance and able to obtain a TS/SCI.
Supports business by developing technical and business solutions.
Identify solutions based on business and technical criteria, analyzes alternatives based on trade space, and implements designs.
Research current and emerging technologies and process methodologies and proposing changes and tailoring where needed.
Assess the system and business process architectures currently in place and works with staff to recommend improvements.
Ensure technical architecture teams deliver efficient and effective system solutions to support business goals and objectives.
Develop, enhance and maintain established service design procedure and process by applying process frameworks and methodologies.
Prepare and present test plan, technical presentations, and analyst briefings.
Identify customer requirements, analyze alternatives and conduct product recommendations related to software, platform and network configurations.
Provide updates to stakeholders on project cost, schedule, and quality in comparison to stakeholder objectives.
Provides expert guidance and leadership to less-experienced colleagues.
Preferred qualifications include:
Experience with Hadoop/Spark big data frameworks - including Open-Source and Commercial distributions (Databricks, Cloudera/Hortonworks, MapR) and Cloud-based services (AWS EMR, Azure HD Insight;)
Demonstrated experience developing and scaling engineering solutions for both structured and unstructured data;
Strong communication skills to communicate with customers, support personnel and stakeholders;
Masters Degree is strongly preferred.
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.