Information Specialist Senior

Join to apply for the Information Specialist Senior role at CSG . Hi, I'm Martha Garces, your Recruiter and guide to joining CSG We are excited to learn more about you and your unique background. The Information Specialist Senior is a technical leader who partners with Data Architects, Data Engineers, and internal Business Partners to define requirements, architect scalable data and analytics solutions, and drive best practices across Microsoft Azure, Microsoft Fabric, and Power BI. This role leads complex initiatives, establishes data and BI standards, and provides technical mentorship to junior and mid‑level Information Specialists. The Information Specialist Senior applies advanced AI/ML and generative AI tools—such as Glean, Microsoft Copilot, and Fabric AI—to enhance solution design, improve data quality, and accelerate delivery. Key Responsibilities Lead the architecture, design, and implementation of complex Azure and Microsoft Fabric data solutions, including lakehouses, semantic models, and enterprise‑grade Power BI solutions. Collaborate with architects, Data Scientists, and business stakeholders to refine requirements, define solution patterns, and align analytics initiatives with business strategy. Lead end‑to‑end solution delivery, including requirements refinement, architecture design, development oversight, performance optimization, and production deployment/stabilization. Establish and promote best practices for data modeling, semantic layer design, governance, security, and lifecycle management across Azure, Fabric, and Power BI. Provide technical mentorship, coaching, and guidance to junior and mid‑level engineers, including conducting design and code reviews. Drive data governance practices, including metadata management, data lineage, data quality frameworks, and documentation standards. Use AI/ML and generative AI tools (e.g., Glean, Copilot, Fabric AI) to enhance solution design, streamline workflows, automate documentation, and improve data quality and insights. Troubleshoot and resolve complex, cross‑system data, modeling, and analytics issues across dev/test/prod environments, including performance tuning and optimization. Evaluate emerging Azure, Fabric, Power BI, and AI capabilities and make recommendations for roadmap, standards, and modernization opportunities. Contribute to or lead continuous‑improvement efforts across processes, tooling, DevOps/CI‑CD, and operational support for analytics platforms. Participate in rotating 24x7 on‑call support as an escalation point for critical data and analytics services, as needed. Maintain regular, reliable, and predictable attendance. May require domestic and/or international travel up to 5%. Demonstrate CSG’s core competencies and values, modeling effective communication, collaboration, and leadership behaviors. Perform other related duties as assigned. What We’re Looking For Bachelor’s degree in Information Systems, Computer Science, Data/Analytics, or related technical field, or equivalent combination of education and experience. 5+ years of experience in data architecture, data transformation, enterprise data modeling and data governance. Ability to read, write, speak and understand the English language in a business environment. Extensive experience designing and implementing complex data models, semantic layers, and scalable Azure Data and Microsoft Fabric solutions (e.g., Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Data Lake Storage, Fabric lakehouses, Fabric Dataflows). Advanced experience developing and governing Power BI solutions, including data modeling, DAX optimization, performance tuning, security (RLS/OLS), deployment pipelines, and workspace administration. Strong expertise in SQL and DAX, and experience working with large‑scale relational, dimensional, and distributed data platforms. Demonstrated experience leading end‑to‑end analytics solution delivery, including architecture design, technical oversight, risk management, and cross‑team coordination. Hands‑on experience using AI/ML and generative AI tools—such as Glean, Copilot tools, Fabric AI/AI Studio, and other enterprise AI platforms—to accelerate analytics, improve data quality, automate workflows, and enhance solution design. Experience mentoring and guiding junior and mid‑level engineers, providing architectural direction, and conducting design and code reviews. Strong background in ETL/ELT design and optimization, including data pipelines, orchestration, data quality checks, and observability using Azure Data services and Fabric. Experience establishing or contributing to data governance standards, metadata management, lineage documentation, and best practices. Proven ability to collaborate with architects, Data Scientists, business leaders, and cross‑functional teams to deliver high‑impact analytics solutions that align with organizational strategy. Significant experience working within Agile, SDLC, and ITIL operational environments and contributing to process and standards improvements. Experience troubleshooting and resolving complex data, modeling, or analytics issues across environments (dev/test/prod), including performance and scalability challenges. Experience with modern DevOps and CI/CD approaches for analytics (e.g., source control for Power BI/Fabric artifacts, deployment pipelines, automation). Experience with legacy platforms (e.g., SSIS, SSRS, on‑premises data warehouses) and leading modernization or migration to Azure/Fabric is a plus. Experience integrating AI/ML models or pipelines into enterprise analytics solutions, including operationalization and monitoring (MLOps concepts). Experience with enterprise work tracking and documentation tools (e.g., Confluence, Jira, Azure DevOps) and decision logging. Hands‑on experience with ITIL platforms such as Helix or ServiceNow. Experience with Microsoft SharePoint, Teams, and enterprise collaboration or knowledge management platforms (including integration with tools like Glean). Experience influencing or contributing to organizational data strategy, analytics roadmap or platform governance forums. Understanding of enterprise AI & data governance and MLOps concepts. Expert knowledge of data architecture and modeling, including star/snowflake schemas, data vault or other enterprise modeling approaches, semantic modeling, and performance optimization for Azure and Fabric. Advanced proficiency in SQL and DAX, including tuning complex queries, optimizing semantic models, and improving large‑scale BI performance. Strong ability to architect, evaluate, and optimize Azure Data and Microsoft Fabric solutions, including pipelines, orchestration, storage, lakehouses, semantic models, and analytics services. Expert ability to design and review scripting/automation solutions in languages such as PowerShell, Python, or Bash, and to guide others in building robust, reusable automation. Advanced experience using AI/ML and generative AI tools—such as Glean, Copilot tools, Fabric AI/AI Studio, and other enterprise AI platforms—to enhance analytics design, improve data quality, streamline workflows, and guide team adoption. Deep understanding of BI and analytics best practices, including governance, security, workspace and environment administration, deployment workflows, lifecycle management, and cost optimization. Ability to lead technical discussions and provide architectural direction, including reviewing designs and implementations, mentoring junior and mid‑level engineers, and raising engineering standards. Exceptional troubleshooting, diagnostic, and root‑cause analysis skills, with an ability to resolve complex data, modeling, and system integration issues across multiple platforms. Strong decision‑making and technical leadership abilities, with the capability to translate ambiguous or evolving business needs into scalable, high‑quality solutions. Ability to drive process and standards improvements, influence data practices, and contribute to strategic analytics and platform initiatives. Strong collaboration and communication skills, capable of working with architects, Data Scientists, business leaders, and cross‑functional teams to align on requirements and deliver effective solutions. Ability to manage competing priorities, operate in fast‑paced environments, and guide others in balancing workload, quality, and technical debt. Strong interpersonal skills, including the ability to mentor, influence, and support team members across technical and business domains. Proficiency with enterprise productivity tools, documentation systems, and the Microsoft 365 suite. CSG Benefits Work from Home, in‑office, or hybrid Employee Belonging Groups Healthcare: Dental, Medical, and Vision Paid Vacation, Volunteer, and Holiday Time Off And so much more Location Colombia Remote, Brazil Remote Accommodation If you would like to be considered for employment opportunities with CSG and need special assistance due to a disability or accommodation for a disability throughout any aspect of the application process, please call us at or email us at CSG provides accommodations for persons with disabilities in employment, including during the hiring process and any interview and/or testing processes. Our Guiding Principles Impact: Always help and empower others, whether they’re colleagues or customers. When our employees set their minds to something, great things happen. Integrity: Do what’s right for our customers and our people while being authentic. We treat everyone with trust and respect—that’s just who we are. Inspiration: Be bold in the way you think and passionate about the work you do. Test out innovative ideas without the fear of failure. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Information Technology Industries Telecommunications, Software Development, IT Services and IT Consulting #J-18808-Ljbffr