• Lead the day-to-day operation of enterprise data governance processes, controls, standards, and supporting documentation. • Manage the team responsible for governance administration, metadata coordination, quality evidence, certification records, access documentation, exceptions, and asset lifecycle tracking. • Embed governance requirements into delivery workflows so controls are completed as part of normal engineering and analytics work. • Monitor compliance with required metadata, lineage, quality, access, certification, release, retention, and applicable SOX controls. • Partners with Data Engineering, Analytics Engineering, Product Management, Experience Engineering, Information Security, Internal Audit, and business stakeholders to resolve governance issues and clarify responsibilities. • Maintain governance reporting, dashboards, control evidence, issue logs, exception records, and escalation processes. • Coordinate governance reviews for new and changed enterprise data assets without assuming ownership of the underlying business logic or technical building. • Identify control gaps, recurring issues, and process inefficiencies, and lead corrective actions and continuous improvement. • Support audit, compliance, and regulatory requests by ensuring governance evidence is complete, traceable, and readily available. • Establish team priorities, assign work, manage performance, develop staff capabilities, and ensure consistent service across the enterprise.

• A key success factor for mobilizing growth capital is an Investor Relations team that reaches out to the right investors at the right time — with relevant insights, smooth processes and time for personal exchange. • The main task of the Junior Manager Data & Operations – Investor Relations is the administration and further development of our Salesforce infrastructure as well as ownership of the digitization of data-driven investor outreach and the implementation of campaigns. • The role is embedded in the Investor Relations team and does not involve direct personal investor outreach — you create the operational foundation for successful Investor Relations management. • In day-to-day operations you are responsible for automated investor campaigns as well as research and data analysis for internal and external reporting purposes. • Ownership of digitizing investor outreach — manual steps are gradually replaced by digital processes and tools (e.g., campaigns). • Administration and further development of our CRM infrastructure (Salesforce) — from segmentation through tracking to reporting, as well as analysis and integration of additional data points. • Independent management of CRM development projects in sprints: planning, prioritization, implementation and quality assurance. • Identification and introduction of AI-supported tools for more efficient processes. • Preparation, execution and analysis of campaigns to investors about investment opportunities and events. • Ongoing research of new impact investors to serve as a sales foundation for our IR managers. • Data analysis of the investor network for internal and external reporting purposes.

• Celestar, a B&A Company, is looking for a Data Governance & Metadata Scientist in support of an important mission. • In this role, you will have the opportunity to work with a great team while supporting SOUTHCOM. • Develop, implement, and maintain data governance frameworks. • Ensure metadata consistency, lineage tracking, and interoperability between Data Lake, ESRI Kubernetes environments, and external data sources.

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. • Apply technical expertise with quantitative analysis, experimentation, data mining, forecasting and the presentation of data to identify trends and patterns that can inform decision-making. • Collaborate closely with Product, Engineering, Finance, Marketing, Operations, Data Science, Advanced Analytics, Data and Analytical Engineering, Capacity Planning and other cross-functional teams to provide actionable insights. • Design, execute, and analyze experiments to measure feature impact and guide product iterations. Leverage causal methods when traditional randomized trials aren’t available. • Design and build metrics / dimensions to monitor product and business performance. • Build sophisticated reporting and analytical tools that empower stakeholders to make data-driven decisions. • Present findings and recommendations to stakeholders, including senior leadership, in a clear and concise manner. • Stay up-to-date with the latest industry trends and advancements in quantitative and qualitative data analysis techniques. • Leverage AI to automate repetitive tasks and empower stakeholders.