Location: CHI - 225 N Michigan Ave, 3x a week in office
Summary of Role:
As a Director on the Marketing Science team, you will lead the direction of an analytics program, manage a team, and deploy both strategic and campaign work. You will be provided opportunity to and expected to own key client program manager relationships. You use your strong analytic and technical knowledge to assume accountability our client's business performance that result in award winning, case study work, while also advancing your career.
Client Trust: Lead and own key client relationships, building trust through those relationships and positively driving the client's business.
Client Presentation: Build your confidence further with presentation skills and being quick on your feet when asked tough client questions.
Collaboration: Partner with client leadership teams and planning to ensure client satisfaction
Thought Leadership: Contribute to insights and thought leadership around business and media strategy for client facing deliverables.
Communication: Become stronger at explaining complex concepts in a simple manner, bring experience-based opinions with confidence, distill evidence-based results into bullets.
Business: Be responsible for the retention of Marketing Science scope, and positive client satisfaction scores.
Team Operations
Team Leadership: Be responsible for bringing leadership to the account and the broader Marketing Science team.
Team Management: Grow your management career by having Associate, Sr. Associate, Associate Managers, Managers or Associate Directors reporting into you and managing their workload and career development.
Hiring: Lead/Participate in the hiring process for the rest of the Marketing Science team.
Estimates: Help to estimate time to create deliverables and support the Marketing Science lead in scope development and management.
Audience Discovery & Strategy
Audience Strategy: Collaborate with Planning to create the macro audience strategy for the account overall and at the campaign level when needed.
Data Strategy: Oversee and direct the Data Science team on advanced audience query definition and development.
Data Analysis: Lead advanced analysis of Audience data using multiple data sources to help direct overarching audience strategy.
Data Analysis Management: Manage your team in organizing and analyzing data to facilitate insight generation for which you will be responsible.
Data Sources: Use advanced understanding of Audience data sources to best leverage them for each type of analysis.
Measurement & Reporting
Measurement: Guide team in advanced measurement strategy, frameworks and technology.
Benchmarks & Goals: Oversee the creation of benchmarks and targets based on historical campaign data.
Reporting & Optimization: Be accountable for the quality of reports and the insights generated.
Test Design: Create the design and lead development of learning agendas and test plans.
Attribution: Direct and collaborate with Data Science on attribution design and analysis.
Insights: Ensure macro insight development for campaign performance and optimization that ladder up to the overall strategic objectives of the account.
Data Strategy & Technology
Data Technology Utilization: Coordinate and oversee the Data Operations team for automation and improved processes for efficiencies.
Data Management: Be accountable for the overall health of the data on the account, and management of the staff who are responsible for it.
Data Visualization: Provide design direction and requirements gathering support for any data visualization.
Test Deployment: Be accountable for ensuring quality of test deployment working with your team.
Attribution Deployment: Coordinate with Data Science on attribution deployment and data collection.
Ad Operations: Apply advanced understanding of Ad Operations and QA procedures.
AdTech/MarTech: Evaluate and compare data, ad and MarTech vendors.
Data Acquisition: Identify and evaluate of new data sources and the purchase of those data sources if necessary, for the account.
Desired Experience:
Client Relationships: Experience leading and partnering with key decision-making clients.
Management: Prior management of teams of 3+ Marketing Science staff including Associate Director and below.
Business: Contributor toward growth and revenue goals through retention of clients.
Data Knowledge: Broad experience using different types of behavioral data and/or syndicated research data sources.
Data Strategy: Experience developing or contributing to Data Strategy and knowledge of 2nd and transparent 3rd party (non-DMP) data sources for the purposes of data partnerships and audience building.
Strategic Mindset and Creativity: Proven ability to deeply understand the client's business and bring strategic business thinking to drive the most effective media, audience and data strategy in partnership with planning.
Cross-Channel Analytics: Experience with marketing mix modeling/econometric analysis and Multi-touch attribution for offline and online channels. Working understanding of offline and online channel KPIs.
Media Foundations: Advanced understanding across client verticals of media strategy, budget setting and channel selection.
Survey Design: Solid understanding of quantitative and qualitative survey design and analysis experience o Data Science: Ability to manage and direct Data Science staff and understand their work at a detailed enough level to ensure methodology and accuracy.
Structured analysis/statistical understanding: Experience structuring analyses to get the most accurate read. Knowledge of statistical significance and ability to ensure and communicate relative confidence and risk levels.
Desired Technical Skills:
Strong proficiency with MS Excel, PowerPoint are a must
Breadth of experience using
Ad-serving and web analytics tools (DCM, DV360, IAS/Moat, Facebook Advanced Analytics, Google ADH, Google Analytics, Adobe, etc.)
Behavioral data sources (Acxiom, Experian, Clickstream, Location, IRi, Liveramp)
Syndicated research sources/tools (Gfk, MRI, Simmons, Scarborough, IMS, Nielsen, comScore)
Cross-media brand lift research (Kantar, Lucid, etc.)
Experience with two or more
Data visualization tools such as Tableau, Datorama, Alteryx
SQL, R, Python or other advanced analytics software packages
Concepts of database design and SQL
Requirements:
Experience: 8-10 years of experience, preferably in marketing for at least 5-7 years
Analytic Capabilities: Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling
Education: Bachelor's degree in math, economics, engineering, social sciences, finance, analytical fine arts, or business/marketing fields, masters or work equivalent experience a plus
Qualities (in order of priority):
Curiosity and Forward Thinking - A natural and persistent inclination to explore, discover, and learn, and a general fascination with analytics. The drive to go beyond asking "what?" to ask "why?"; a commitment to digging beneath the surfaces and interrogating information versus accepting it at face value.
Problem Solving - An ability to figure out and solve problems on your own, leveraging all resources available.
Persistence & Persuasion - An ability to push through ideas and to socialize the use of data to make strategic decisions in an elegant way.
Data Politician - An ability to get buy in and bring harmony through socialization between colleagues, clients and partner agencies to enable data-driven media and marketing strategy.
Creativity - A knack to think, solve problems in non-linear ways and connect dots to craft compelling stories.
Confidence & Command - A willingness to share opinions and present recommendations with conviction. An ability to command a room and get buy in.
Adaptability, Flexibility and Resilience - A comfort with fast paced, intense, changing business and everything that comes with that. Client's shift strategic direction incredibly fast, you must have a temperament that enjoys and reacts positively to change.
People Development - A desire to help Marketing Science talent grow and thrive in their career.
Collaboration - A desire to create a collaborative working environment where the notion of team comes before companies.
PHD is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class.