Tittle: Informatica CDGC leadLocation: Cincinnati OH (Remote)Type: Contract  We’re looking for a Technical Lead to take charge of implementing advanced data governance, metadata management, and quality initiatives using Informatica CDGC. This is a hands-on role where you will be a technical leader, shaping the foundation for scalable and intelligent data systems. Key Responsibilities:Architect and Deploy: Design and implement a comprehensive metadata management framework using Informatica CDGC, ensuring integration with existing systems and workflows.Performance expectations: Design and manage multiple project initiatives to optimize and maintain high availability.Establish Data Lineage: Lead efforts to map and document data flow across systems, enabling transparency and reliability for business-critical operations.Leverage AI & Automation: Utilize CLAIRE to create AI-powered data quality reports, enhancing exploratory data profiling and delivering actionable insights.Standardize Data Quality: Develop and enforce data quality standards, including implementing Client-specific data quality rules, and monitoring ongoing compliance.Drive Innovation: Evaluate and recommend emerging tools and practices in data fabric technologies, integrating them for organizational benefit.Collaborate Cross-Functionally: Work with data engineers, business analysts, and stakeholders to align technical solutions with business objectives.Lead with Expertise: Provide mentorship and technical guidance to team members, fostering a culture of innovation and accountability. Required Skills and Experience:Informatica CDGC/EDC Expertise: Hands-on experience configuring and optimizing Informatica CDGC, EDC, AXON, with a strong understanding of its advanced features.Technical Depth: Proficiency in scripting or programming languages (e.g., Python, Java, or SQL) for custom rule implementation and automation.Data Governance: Deep knowledge of metadata and data lineage frameworks and their role in enterprise data management.AI and Automation Knowledge: Familiarity with CLAIRE and similar AI tools to automate and enhance data quality initiatives.Strategic Problem-Solving: Ability to identify and address complex data issues proactively, driving long-term resolutions.Strong Leadership: Proven track record in leading technical teams, with the ability to manage competing priorities and timelines. Preferred Qualifications:Experience with other data governance/catalog tools is a plus.Background in building or working within an AI Data Fabric or data mesh environment.Understanding of cloud-based data ecosystems (AWS, Azure, GCP).  (CDGC OR “Cloud Data Governance and Catalog” OR “Enterprise Data Catalog”) AND informatica
