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Head of Data

Job reference:
Head of Data
£100k-£130k plus bonus, benefits
Job type:
Economics & Market Research, Operational Improvement
Date posted:
This vacancy has now expired.

Our client is a global leading Mobile firm with expertise in Internet of Things, and Connected Devices as well. 

Why join their team?
As the Head of Data - you will be a key member of the Mobile Division for Europe. Your direct report line will be to the Chief Operating Officer. 

The Head of Data is one of a number of new roles being created to support this area.  The role will be expected to build the Big Data capability, firstly working with the broader business to link up the relevant systems and data sources, then to help mine the data for insight.  A key expectation of the role is that reports can be automated, likely through the application of Artificial Intelligence, to enable the broader group to access insights in real time.

What will this role achieve?
Initially, the focus will be on collating different sources of omni-channel sales, pricing, customer, consumer, cost, marketing, social media, search, sensor and promotional data, and creating analytical tools that can identify patterns within the data to inform decision making.  The sorts of decisions the team will be informing are:

• Promotional effectiveness - e.g., impact of trade-in or other mechanics and how best to apply across different geographies
• Marketing effectiveness - e.g., impact of ATL and BTL campaigns and always-on activity, helping understand the impact of different formats and messages and making recommendations re the allocation of budgets across Europe
• Pricing – identify correlation and causality of different in-market pricing decisions vs. competitors.  Generate insight on price elasticity relative to changes in competitor pricing and recommend courses of action intent on boosting market share and/or profitability
• Portfolio – understand consumer buying behaviour across the full Samsung range of products (mobile, tablet, accessories) relative to competitor ranges.  Identify trends and patterns in behaviour (e.g., trading-up or down, switching etc.) and recommend courses of action accordingly 

Critically, this role is not just about system capability and analysis.  The right person will also be able to demonstrate exceptional data visualisation skills and the ability to simplify the complexity.  The individual must also be able to build confidence in their work, accepting that deep analytics is worth nothing unless the decision makers feel able to trust the output. The successful candidate will work closely with the central Marketing Team, and systems teams, in addition to the teams in charge of local application of the data and insights.

What will be your key deliverables? 

Construction of a database / data lake with all the relevant data feeds for analysis:
o Drive the collection and manipulation of new data and refine existing data sources
o Define the overarching data strategy and vision for data pipeline and data products 
o Formulate management techniques for data governance to ensure accuracy and legitimacy of data 
Build the necessary statistical or mathematical algorithms to make exploratory or predictive models to create insights that can be converted into action
Apply Artificial Intelligence to build an analytical capability that continues to increase its power and relevance over time
Leverage data visualisation tools and dashboards to turn the data into easily understood and actionable insight
Develop tools that can be accessed and used by local markets so that they can continually optimise their operations, drawing on best practice from across the whole of Europe
Identify courses of action that help build market share and profitability and, in conjunction with the COO, represent these ideas as recommendations and business cases
Facilitate on-going test-and-learn in local countries, sharing learnings and recommendations across other geographies as appropriate

What does success look like?

The applicant must have substantial experience with Big Data application.  She/he must have built a team and tools from scratch, ideally setting up a department in a large, highly matrixed organisation where they have had to deal with numerous stakeholders across a number of geographies.  Key attributes / experience include: 

Expert at working with structured, semi-structured and unstructured data
Excellent data engineering skills – skilled in the handling and management of Big Data 
Expert in all aspects of Big Data storage and application – capture, storage, analysis, data curation, search, sharing, transfer, visualisation, querying, updating and information privacy
Expert in the application of Artificial Intelligence to large data fields
Previous experience setting up a Big Data team from scratch, ideally in the context of a large and complex multi-national business.  
Experience in the telecoms industry preferable but not a necessity.  Equally, experience of working at a senior level within an Asian company advantageous (or an understanding of how business is done) - emotionally intelligent and culturally sensitive.
Strong interpersonal skills – a change agent with a positive, pragmatic and collaborative style, with the ability to achieve their goals amidst significant ambiguity and complexity
The ability to gain the respect of peers within European and global leadership teams, and to build confidence in their methodologies and output, especially where these may result in disruption or changes in working practices
A strong listener, able to understand the wants and needs of the different regional teams and adapt her/his work accordingly
Track record in demonstrating the successful application of Big Data analysis and delivery of commercial results 

Future career development:
With Data Science a relatively untapped skill, opportunities will about for advancement, likely in a number of roles that do not yet exist.  Outside of Europe, there would be potential opportunities to relocate to a role within the Mobile Division in Asia. 

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