
51 - 200 employees
🤝 B2B
🏛️ Government
🤖 Artificial Intelligence
B2B • Government • Artificial Intelligence
Anika Systems is an outcome-driven technology solutions provider specializing in assisting Federal agencies in meeting their mission goals and preparing for the future. The company offers a range of services including Data and Analytics, Intelligent Automation, Application Development, IT Modernization, and Cloud Engineering. Anika Systems collaborates with Federal agencies to create long-term, innovative, and empowering solutions, focusing on delivering goals successfully on time and within budget. Their capabilities include data strategy, machine learning, cloud transformation, and more, leveraging partnerships with platforms like Microsoft Azure and Red Hat to enhance their offerings.
🕒 June 30
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51 - 200 employees
🤝 B2B
🏛️ Government
🤖 Artificial Intelligence
B2B • Government • Artificial Intelligence
Anika Systems is an outcome-driven technology solutions provider specializing in assisting Federal agencies in meeting their mission goals and preparing for the future. The company offers a range of services including Data and Analytics, Intelligent Automation, Application Development, IT Modernization, and Cloud Engineering. Anika Systems collaborates with Federal agencies to create long-term, innovative, and empowering solutions, focusing on delivering goals successfully on time and within budget. Their capabilities include data strategy, machine learning, cloud transformation, and more, leveraging partnerships with platforms like Microsoft Azure and Red Hat to enhance their offerings.
• Lead the design and implementation of enterprise data architectures supporting federal clients • Shape data strategy and enable data-driven decision-making • Support the establishment and maturation of Office of the Chief Data Officer (OCDO) organizations • Develop and maintain conceptual, logical, and physical data models, including Entity Relationship Diagrams (ERDs) • Define and enforce standards for data integration, data quality, and data lifecycle management • Lead or support stakeholder listening campaigns to gather input from executives, data leaders, and practitioners across the enterprise
• Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field or comparable experience • 8+ years of experience in data architecture, data engineering, or enterprise data management • Demonstrated experience integrating AI/ML or generative AI capabilities into data platforms • Hands-on experience with: AWS data services (e.g., S3, Glue, Redshift, Lake Formation) Apache technologies (e.g., Spark, Iceberg, Hive) Relational databases • Strong expertise in data modeling and ERD development • Experience designing or implementing Knowledge Graphs, ontologies, or semantic data models • Familiarity with Graph-based retrieval approaches (e.g., GraphRAG or similar patterns) • Experience implementing metadata management, data cataloging, and data governance solutions • Demonstrated experience supporting federal data strategy initiatives or OCDO organizations • Strong understanding of data quality, lineage, observability, and AI data readiness frameworks • Proficiency with AI-assisted tools and workflows (e.g., LLM copilots, automated code generation, data augmentation tools) • U.S. Citizenship required; ability to obtain and maintain a federal clearance.
• 100% remote • Empowerment in delivering customer success • Opportunities for professional growth
Apply Now🕒 June 29
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