Manager, Data Science (Media Industry Specific)
Spark Foundry | New York | www.resume-library.com |
Job Description
Overview:
The Manager, Data Science is responsible for advanced audience development, strategic platform vision, and technology enablement. The role requires the candidate to sift through big data by leveraging advanced statistical concepts and guide the client into the world of futureproofed technology.
Working closely with client stakeholders and internal team leads are vital parts of the role, with accountability for the highest quality execution of a diverse array of client and project deliverables an imperative. The role functions as an expert technical point of escalation, an analytical problem solver, and a technical translator to internal account teams and clients.
It provides ongoing strategic account direction/vision for technology, process, and data science.
Role Objectives:
• Build strong relationships with internal stakeholders and groups, facilitating synergy between the planning and activation functions that manage day-to-day client business
• Build and develop relationships with client business directors and brand teams, ensuring that client and overall data proposition is relevant and aligns with strategy direction
• Grow product delivery and agency revenue organically by cross-selling and up-selling value-add data science products across client divisions, markets, categories, etc.
• Drive a culture of ‘always on’ data driven decision making that will institutionalize the use of consumer-driven analytics in media/marketing investment planning
• Consult with senior client marketing and business leaders to define and answer most important business questions
• Advise on how to best leverage media and marketing investments to drive business results
• Work collaboratively with the network to provide the client with the very best thinking and leadership in creating meaningful and measurable marketing experiences
• Underpin client marketing processes with “Big Picture” concepts that will advance them into the future of audience addressability
• Guide statistically sound test design that ensures limited to no bias resulting in actionable takeaways
• Keep abreast of evolving media landscape, including research and emerging trends to provide insight to both media teams and client (as required)
• Create and manage deliverables against detailed project plans that align expectations with outcomes
• Provide a high-value consultation layer on top of data science deliverables
• Determine the best means of communicating data science driven insights to clients that ensures understanding of results and application of the analyses is applied
• Build presentations providing clear storyline – why the work is important, the truths that the analytics reveal, and the actions that should follow the analyses
• Build the profile of Data Science and Advanced Analytics within the agency by packaging and evangelizing best in class client work
Overview:
The Manager, Data Science is responsible for advanced audience development, strategic platform vision, and technology enablement. The role requires the candidate to sift through big data by leveraging advanced statistical concepts and guide the client into the world of futureproofed technology.
Working closely with client stakeholders and internal team leads are vital parts of the role, with accountability for the highest quality execution of a diverse array of client and project deliverables an imperative. The role functions as an expert technical point of escalation, an analytical problem solver, and a technical translator to internal account teams and clients.
It provides ongoing strategic account direction/vision for technology, process, and data science.
Role Objectives:
• Build strong relationships with internal stakeholders and groups, facilitating synergy between the planning and activation functions that manage day-to-day client business
• Build and develop relationships with client business directors and brand teams, ensuring that client and overall data proposition is relevant and aligns with strategy direction
• Grow product delivery and agency revenue organically by cross-selling and up-selling value-add data science products across client divisions, markets, categories, etc.
• Drive a culture of ‘always on’ data driven decision making that will institutionalize the use of consumer-driven analytics in media/marketing investment planning
• Consult with senior client marketing and business leaders to define and answer most important business questions
• Advise on how to best leverage media and marketing investments to drive business results
• Work collaboratively with the network to provide the client with the very best thinking and leadership in creating meaningful and measurable marketing experiences
• Underpin client marketing processes with “Big Picture” concepts that will advance them into the future of audience addressability
• Guide statistically sound test design that ensures limited to no bias resulting in actionable takeaways
• Keep abreast of evolving media landscape, including research and emerging trends to provide insight to both media teams and client (as required)
• Create and manage deliverables against detailed project plans that align expectations with outcomes
• Provide a high-value consultation layer on top of data science deliverables
• Determine the best means of communicating data science driven insights to clients that ensures understanding of results and application of the analyses is applied
• Build presentations providing clear storyline – why the work is important, the truths that the analytics reveal, and the actions that should follow the analyses
• Build the profile of Data Science and Advanced Analytics within the agency by packaging and evangelizing best in class client work
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