Director - Big Data - CPG/Retail/Finance/FMCG

KEY SKILLS:

- Knowledge of key Statistical solutions (R, Alteryx, SAS, Matlab)

- Analytics & Data Management

- Category Management / Shopper Marketing

- Relationship Building

- Strong Financial Acumen

- Internal and External Networking

Brief About the Role;

- Deliver smart data models that generate revenues

Create new smart data models:

All models must be globally scalable with estimated impact of - 10m for markets. All models will need to deliver on three core areas

- Shopper & consumer touchpoints

A) Data models that are designed to understand, derive superior insight, enhance or disrupt the shopper journey pre, during and post shopping for products.

Category management:

- Data models that enhance our category management capability with our external customers.

- Particular focus on driving market development and enhancing the retailer customer economic model (penetration, frequency, basket size, cost)

In market execution:

a) Smart models that help with identification of where to play and how to win choices for field resource

B) Models that enable faster decision making internally about deployment of resources

- Set clear criteria for model development and measurement / KPI's to track success.

- Work with markets to leverage Data Models and ensure maximum effectiveness and revenue delivery.

- Work with IT (internal) and 3rd Party Data / Analytics firms to deliver new SMART DATA solutions that can work within IT environment or serviced in an effective and efficient manner (Cloud Solutions).

Scale smart data model globally:

- Identify current models and then Share and Reapply across markets.

- Ensure any model being developed is globally scalable. Work with Cluster Leads, market CDVP's to implement solutions across markets.

Develop data/Analytics capability:

- Identify and short list key internal / external preferred data & analytics partners. Manage the relationship and projects with internal and external stakeholders.

- Development of how to guide for developing smart data models

- Thought leadership in the area of Data and Model development including exploring new DATA sources, new Analytical Model or competitor development.