Omnicom Media Group
Data Science Manager
Omnicom Media GroupCanada6 days ago
Full-timeMarketing

As the Manager, Marketing Science you will work closely with the Director, Marketing Science to lead media insights and analytics to demonstrate the business value of marketing and media investments. Your team will include highly skilled analytics and data science team members, and you will sit at the intersection of research, analytics, strategy and performance.


Competencies

High Rigor

Definition: A disciplined approach to thinking, analysis, and evaluation, grounded in evidence and logic. Working in a conscientious, consistent, and thorough manner to deliver precision, accuracy, and error-free work. Level summary: Proposes tools and methods to ensure accuracy when completing complex tasks.

  • Possesses a deep understanding of intellectual rigor principles and their applications.
  • Consistently demonstrates intellectual flexibility and agility in approaching complex problems and situations.
  • Exhibits a high degree of intellectual curiosity and actively contributes to the advancement of knowledge within the field.
  • Produces work of exceptional quality that consistently exceeds expectations.
  • Serves as a resource and mentor to others, sharing knowledge and best practices.


Bias for Action

Definition: Speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk taking. Level summary: Excels in Bias for action, consistently demonstrating a proactive approach.

  • Demonstrates exceptional speed and efficiency in completing tasks.
  • Anticipates potential roadblocks and proactively finds solutions to minimize delays.
  • Actively seeks out opportunities for process improvement and implements innovative strategies to increase efficiency.
  • Makes decisions confidently and effectively, even in complex and uncertain situations.


Ownership

Definition: Taking responsibility and ownership of your work, decisions, and outcomes. Knowing when to collaborate to drive resolution. Level summary: Exhibit ownership in their own work and influences others.

  • Demonstrates a long-term perspective and aligns actions with organizational strategies.
  • Takes ownership of strategic goals and initiatives.
  • Takes responsibility for the consequences of their decisions and actions.
  • Communicates openly and transparently about progress, challenges, and results.
  • Holds themselves accountable for meeting deadlines and delivering high-quality work.
  • Identifies and initiates solutions to complex problems.
  • Takes corrective actions and learns from mistakes.


Customer Obsessed

Definition: Everything starts with the customer, we work backwards from the customer/target audience to develop insight-lead strategies. Level summary: Excels in a customer-first approach, consistently delivering outstanding customer experiences.

  • Interprets the user journey to better understand and improve the customer experience with high-quality engagements and touch points that move consumers down the funnel to increase conversions.
  • Coaches cross-functional teams on loyalty, industry trends, benchmarks, business models, and best practices in various channel and consumer industries.
  • Assesses customer experience measurement practices to understand the current state and identifies opportunities for improvement.
  • Drive organization-wide alignment on best practices for cultivating a dynamic customer experience.


Marketing Metrics

Definition: Measuring and controlling the performance of the marketing strategy to achieve the maximum return on investment. Level summary: Applies the competency in new or complex situations and advises others.

  • Uses findings from the evaluation of marketing activities to identify recommendations for how to improve the marketing strategy.
  • Evaluates the impact of marketing initiatives on the organization's performance .
  • Uses appropriate financial tools to evaluate impact of marketing initiatives.
  • Measures the effectiveness of marketing, advertising, and communications programs and strategies.
  • Coaches others on marketing evaluation concepts, principles, techniques, and methods.
  • Identifies potential opportunities for or threats to the organization that can impact the marketing strategy.


Market Research and Consumer Behavior

Definition: Collecting and analyzing relevant market and consumer data to inform and reshape the organization's marketing strategy. Level summary: Applies the competency in new or complex situations and advises others.

  • Designs mission critical, multi-stakeholder research projects.
  • Coaches others on the full spectrum of approaches and tools for conducting market research.
  • Makes business recommendations in situations when data is insufficient, incongruent, or sensitive.
  • Evaluates key assumptions and variables that factor into the conclusions of market research
  • Identifies internal and external opportunities for collaborative research initiatives.


Data Literacy

Definition: Using data to gain insights, solve problems, and inform decisions. Level summary: Leverages complex data for impact.

  • Interprets complex data, including advanced statistics, to identify trends and draw conclusions.
  • Translates data-based evidence into actionable knowledge to inform decision making.
  • Implements strategies to incorporate data analytics into decision making at different levels of the organization.
  • Determines what research and data analytics are needed to address an issue.
  • Evaluates data collection and analysis processes to identify potential biases.


Insights Analytics

Definition: Aligning data strategy and insights with business applications. Level summary: Applies the competency in new or complex situations and advises others.

  • Coaches others on selecting and conducting the appropriate analyses to generate insights.
  • Combines complex data to derive distinctive perspectives and insights.
  • Guides others on identifying and resolving issues regarding the utilization of data to generate insights.
  • Interprets insights, prioritizing innovation opportunities.


Data Visualization and Presentation

Definition: Creating compelling visual narratives to present the findings of data analyses. Level summary: Applies the competency in new or complex situations and advises others.

  • Develops interactive automated dashboards that can be used by the business user to assist with decision-making.
  • Coaches others on how to build efficient data flows and impactful visualizations.
  • Provides expertise to junior employees regarding data visualization, report automation, and development of self-service dashboard solutions.
  • Identifies the best visual format to present expected insights, validating hypotheses through visual exploration.


Responsibilities

  • Build and develop a deep understanding of the client's strategic issues, initiatives and the competitive position.
  • Ensure that analytics efforts lead to clear, compelling and actionable insights; and insightful narratives are constructed through sophisticated analytics techniques.
  • Ensure a timely follow through on all scheduled and ad hoc deliverables.
  • Provide and develop recommendations in the measurement plan development and execution.
  • Generate and communicate clear, compelling and actionable insights; constructing insightful narratives through sophisticated analytic techniques.
  • Recommend and implement research that aids the consumer insight gathering and strategic process.
  • Identify opportunities and provide guidance to continuously improve processes.
  • Lead, mentor, and train analysts and managers.
  • Oversee and provide feedback on reports, POVs and other materials presented to clients.
  • Oversee the consumer segmentation and audience identification/exploration processes.
  • Support in designing tests to measure the incremental impact of media on business outcomes.
  • Supervise cross-functional day-to-day tasks, ensuring team members have a clear understanding of proper priorities.
  • Advocate for the integration of OMG solutions, capabilities, and products to deliver better outcomes for clients
  • Manage team utilization of Omni, in order to effectively leverage our people-based marketing platform to drive targeted audience activation, develop creative channel planning ideas, analyze digital content inventory, and contribute to the overall success of our marketing efforts.


Education

  • Relevant post-secondary education, training, or equivalent experience


Skills

  • Data Collection and Processing
  • Data Visualization Solutions
  • Automation Solutions
  • Measurement Plans
  • Incrementality Tests
  • Learning Agenda
  • Data Analysis - Channel Level Optimization Recommendations
  • Data Analysis - Strategic Optimization Recommendations
  • Partner Relations
  • Assessment and Improvement of Processes
  • Presentation & Communication Skills
  • Insight & Post Campaign Analysis
  • Team Management
  • Exceptional narrative skills, demonstrated ability to craft compelling stories that engage the audience, convey complex ideas clearly in order to effectively detail a strategy, problem, solution or Initiative.


Experiences

  • Experience at a media agency, client, marketing analytics firm, or in a quantitative, data-driven field.
  • 3-4+ years leading and developing a strong analytics and/or data science team.
  • Experience with marketing mix modeling/econometric analysis and/or other branches of market research (custom survey research, advertising testing or tracking, new product research, etc.)
  • Knowledge and experience with syndicated research sources/tools (e.g. ComScore, Nielsen, etc.)
  • Familiarity with marketing technology (e.g. Data Management Platforms), ad-serving (e.g. Google DCM), and web analytics tools (e.g. Google Analytics, Adobe Analytics)
  • Client Management: Strong ability to discover, interpret, and respond to client needs.

Key Skills

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