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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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