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Director of Global Audience Strategy

  • Data Analytics
  • Permanent
  • £100,000 +
  • About the role

    Director, Global Audience Strategy

    £95,000-£109,000 + Benefits

    Central London (Flexible Options)

     

    MBN’s client, a leading Analytics Consultancy is in search of a Director of Global Audience Strategy.

     

    As a part of the Applied Behavioural Science team, the successful candidate will be an integral part of a core strategic offering to unravel human insights for the organisation.

     

    This role is a hybrid audience data scientist /behavioural scientist who will apply both disciplines to lead audience strategy and audience creation in support of our Global Client Solutions team.

     

    The role will couple bespoke approach to human understanding through Applied Behavioural Science and advanced data science to develop audiences as a dual-purpose strategist:

     

    Responsibilities:

     

    Collaborate with agencies around the world to create bespoke audiences for insights and

    activation.

    Work directly with agency partners and clients to understand, document, and clarify client

    needs related to audience strategy.

    Develop specific approaches to deliver behavioral-based and mindstate-relevant audiences

    against brand, consumer, and agency needs and goals.

    Work with account teams and clients to ensure strategic alignment against audience needs

    and motivations.

    Drive innovation in our approach to audience design

    Identify and leverage current, new and emerging data sets that can be utilized in audience

    structure and implementation

    Lead and design strategic approaches and methodologies for new ways to leverage the businesses audience data stack.

     

     

    Requirements:

     

    Ability to use data to identify patterns of behaviour and communicate it effectively

    Ability to determine the right hypothesis to test, to define the right methodologies to

    query for insights, and be brilliant in delivery of outcomes and recommendations as a

    consequence

    Several years hands-on experience with statistical modelling, data mining, predictive and

    prescriptive methods (clustering,

    Several years’ experience in SQL and R and/or Python

    Collaboration, including ability to drive clarity in a multi-stakeholder environment

    A background in data science, applied intelligence, or marketing science

    with a track record or utilizing those skills in new ways

    Demonstrated success in managing analytical, commercial, and emotional elements of a

    client relationship