Responsibilities

• Data Strategy & Governance : Direct the development, implementation, and maintenance of data strategies, quality standards, business rules, and governance processes for diverse client accounts and media channels.
• Project & Process Leadership : Oversee the creation and management of project plans, assign and prioritize tasks, and ensure standardized processes. Facilitate regular status meetings, proactively resolve roadblocks, and drive initiative progression in a fast-paced, agile environment.
• Cross-Functional Collaboration : Act as liaison among internal teams (Strategy, Digital Investment, Planning, Analytics, Finance), offshore resources, external vendors, and clients. Foster positive working relationships and effectively communicate roles, responsibilities, and expectations.
• Data Quality & Problem Solving : Supervise investigation and resolution of data integrity issues, define/implement business rules for data cleansing and QA, and ensure best practices in all data and technology projects.
• Technical Solution Oversight : Advise on or lead the deployment of business intelligence tools, data warehousing, ETL processes, and automation initiatives. Champion adoption of new technology and process solutions, ensuring data is the backbone for all media and analytics disciplines.
• Team Leadership : Supervise and mentor Managers, Senior Analysts, and Analysts; cultivate a supportive, growth-oriented environment. Guide teams in Data Operations, quality assurance, and client management tasks.

Requirements

• 5–7 years’ experience in data management, data engineering, data operations and/or business intelligence
• 3–5 years’ experience in digital media data (ad server, digital, search, social, video, offline, etc.)
• 3–5 years’ experience in agile development environments
• 3–5 years’ experience in client-facing work and managing offshore or cross-functional teams
• 4+ years’ experience in data governance and quality processes within data warehousing, ETL, and BI environments
• 5+ years’ experience in business analysis or related disciplines
• In-depth expertise across digital and traditional media channels and handling diverse datasets (paid, owned, etc.)
• Demonstrated ability to diagnose, escalate, and solve complex data quality and operational issues
• Outstanding organizational and project management skills
• Comfortable multitasking and adapting to fast-evolving needs

Preferred

• Python (nice to have)
• Hudson (bonus)