> Markdown version of [/jobs/ext/3870229-manager-data-governance](https://www.wearedevelopers.com/jobs/ext/3870229-manager-data-governance). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Governance - **Company:** Publicis Groupe - **Location:** New York, NY, United States - **Salary:** $88,540.0 - **Contract:** Temporary contract - **Skills:** Microsoft Excel, Data Analysis, Big Data, Data Governance, Data Manipulation Languages, Data Visualization, Relational Databases, Excel Formulas, Python (Programming Language), Pivot Tables, Power BI, Standard Sql, Tableau (Software), Macros, Software Verification, Banner Advertisement, Data Analytics, Adserver, Data Management, Tools for Reporting - **Published:** October 22, 2026 - **Apply:** https://www.disabledperson.com/jobs/76136842-manager-data-governance ## About the Role Successful Managers are curious, data-driven and proactive problem solvers with a passion for media and emerging technology. They bring fresh perspectives, communicate ideas effectively, and embrace challenges with a willingness to continuously learn. You should have hands-on experience in digital media analytics and data, are comfortable in client-facing roles, and excel at translating and managing complex data to ensure scalable and efficient use., * 4+ years of work experience in media or related field * 1+ years in a managerial or supervisory role. * Bachelor's degree. Degree in a related field is a plus (i.e. STEM, Economics, Marketing, etc.). * Ability to communicate complex ideas to both external and internal clients. * Demonstrated strong project management skills * Experience with querying relational databases * Experience with digital media and analytics tools (Ad Servers, Measurement Vendors, BI Software) * Extensive experience with digital media marketing metrics * Advanced Excel skills (ability to work with macros, advanced formulas, pivot tables) and experience working with large data sets. * Ability to structure and manipulate large data sets to answer business questions. * Understanding of a broad range of online advertising media channels such as Search, Display Banners, Email, Contextual, and Social, as well as subject matter expertise in at least one of these areas. * World-class customer service skills. Ability to service clients, partners and internal stakeholders by understanding their needs, translating those needs into creative solutions, and delivering on those solutions with diligence and a sense of urgency., * Experience with third party research partners such as GfK, Nielsen and comScore. * Experience with ad verification tools such as IAS, Moat, etc. * Experience with using or analyzing data form DMPs and DSPs. * Knowledge of visualization tools like Tableau, Power BI. * Knowledge of SQL, Python, and other data manipulation languages. ## Description As a Manager, you'll serve as a key client-facing representative of our Data Governance team, so confidence in presenting and communicating both internally and externally is essential. What You'll Do Managers work closely with Analysts to guide daily deliverables and ensure high-quality output. They design and implement standardized data processes, translate client needs into clear documentation, and support automation efforts. Acting as both strategic and operational leaders, they collaborate with Associate Directors to execute team vision while serving as mentors, project managers, and thought leaders. In this role, you will: * Partner with Analytics teams to understand client reporting requirements and translate needs into clear, actionable requirements. * Document and maintain business rules, definitions to ensure consistent interpretation and use of data. * Contribute to automation and scalability by ensuring requirements are complete, testable, and aligned to governance standards. * Collaborate with cross-functional partners (e.g., Engineering and Technology Activation) to implement standardized processes and protocols for data management. * Support data quality and consistency efforts by identifying issues, clarifying requirements, and assisting with remediation and process improvements. * Coordinate work across multiple tasks and stakeholders, providing timely updates on progress, risks, and dependencies.