Principal Accountabilities:

Lead Data Monetization opportunities

  • Lead the development of the Retail Data monetization framework, collaborating with the organization’s Data Privacy and Legal teams to assess opportunities with appropriate consideration to risk control and data privacy
  • Lead evaluation of potential business models and exploration of commercialization alternatives for data monetization and identification of routes to market
  • Manage all activities associated with opportunities in data monetization: e.g. data readiness and execution, commercial terms agreements, identification of subscribers and use cases, opportunity framing, the definition of the support team, etc.

  

Lead external data acquisition to complement Retail existing data and enhance insight generation

  • Lead a coordinated approach for purchasing and leveraging external data sources in Retail
  • Develop guidelines and supporting process for purchasing, storing and leveraging of external data
  • Implement effective cataloging of externally sourced data, T& Cs and Costs

 

Maximizing Data value generation activities

  • Responsible to maximize value delivery from analytical projects
  • Develop effective tools for value tracking
  • Lead activities to improve forecasting of value from initiatives, tracking and sign off
  • Facilitate PIR assessment, leveraging existing activity where practical

Requirements

  • Proven commercial skills and value delivery track record, experience identifying and developing commercial opportunities
  • Demonstrated creativity, problem-solving and critical thinking skills
  • Self-starter, comfortable to work with ambiguity and highly motivated to work independently
  • Influencing skills and ability to persuade business to take necessary actions to leverage value generation from data and ability to deliver results through others.
  • Strong stakeholder management skills and ability to develop a network across the Retail business and functions to drive the data value generation agenda in a virtual environment
  • Knowledge and experience with data, analytics and data privacy advantageous