3165 - Account Director, Data Operations  - GCS

Role Summary and Impact

Data Delivery and Project Management

Own and maintain the Cockpit refresh calendar for all participating markets, ensuring alignment with MMM modelling timelines.

• Coordinate with local market teams, data processing vendors (e.g., Redmill), and global & z-EUR Nestle to ensure timely submission of accurate data to meet cockpit calendar.
• Manage ad-hoc refresh requests and assess feasibility against resource and process constraints.

Data Quality Assurance

• Review and validate incoming media plan data for completeness, accuracy, and adherence to agreed formats (e.g., no channels with impressions but zero spend).
• Perform central QA checks before data is loaded into Cockpit, or oversee local QA when/if decentralised.
• Investigate and resolve data discrepancies (e.g., spend, impressions, reach) with local teams.

Process Governance & Standardisation

• Enforce agreed actualisation processes for Cockpit markets
• Ensure consistent application of data governance rules, including mandatory metrics, cost allocation, and added value treatment.

Stakeholder Management

Act as the central point of contact for the cockpit program between:

• Local OpenMind (OM) market teams
• Global Nestlé stakeholders (e.g., Z-EUR, IT)
• Data processing vendors (e.g., Redmill)
• Facilitate alignment calls to resolve blockers and ensure all parties are informed of timelines, dependencies, and changes.
• Communicate clearly on delays, risks, and mitigation plans.

Primary Skills

• Strong background in media planning, buying, or media operations with a deep understanding of campaign structures, channels, and metrics.
• Experience managing multi-market data workflows and working with multiple stakeholders across geographies.
• Proven ability to interpret and troubleshoot media data (spend, impressions, reach, CPM/CPC calculations).
• Strong project management skills, able to manage multiple deadlines and priorities in a fast-moving environment.
• Excellent communication skills, with the ability to explain technical data issues to non-technical stakeholders.
• High attention to detail and commitment to data accuracy.

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