Data Management & Visualization Director

Position Summary

As Director, Data Management & Visualization, you will be pivotal in managing the E2E data and visualization process including collection, aggregation, QA, processing and visualization for a major client while also serving as a consultant to all Mediabrands stakeholders. In addition to managing the day-to-day data and visualization needs of internal and external clients, this role will be managing a high functioning team of managers and/or analysts/sr. analysts.

Key Responsibilities

• Business Ownership: Independently run a business unit or portfolio, including full accountability for delivery, quality, and client satisfaction.
• New Business Setup: Lead setup from scratch for new accounts/businesses, including systems, processes, and data flow design.
• Data Migrations: Manage and execute large-scale data migration projects and comparable complex assignments.
• Consistent Processes: Execute consistent processes across Mediabrands clients.
• Campaign Naming Conventions: Define and ensure adoption of consistent campaign naming structures across platforms and reporting environments.
• Data Integration: Prepare and integrate outside datasets, including first-party and non-standard digital inputs, into analytics workflows.
• Data Quality & Anomaly Detection: Implement QA processes and anomaly detection to safeguard data integrity across all deliverables.
• Leadership Skills and Stakeholder Management:
  • Engage with senior clients, internal leaders, and cross-functional teams to drive adoption of data solutions.
  • Ensure quality work output from onshore/offshore teams
• Media Platform Knowledge:
  • Campaign Management: CM360, DSPs.
  • Social: Meta, Snapchat, TikTok, Pinterest, LinkedIn, X.
  • Search: SA360, Bing, Google Ads.

Required Skills

• Technical Skills:
  • Deep understanding of end-to-end data flow, APIs, databases, and BI tools.
  • Visualization and dashboard creation experience; Tableau preferred.
  • Strong BI tool skills (Alteryx, Power BI, KNIME, etc.); Tableau Prep preferred.
  • Database experience (Snowflake preferred).
  • Understanding of taxonomy creation and execution