Associate Director, Decision Sciences

Job Description

As part of the larger Advanced Analytics & Insights (AAI) department, the Decision Sciences team draws on the dynamic advertising technology space, digital and offline analytics, and evolving methodologies to address complex research and measurement challenges across Starcom client brands.

The Associate Director is responsible for digital media measurement and analytics. This role will be responsible for using data and analytics techniques to answer client business questions and executing deliverables through a breadth of datasets and appropriate analytic techniques, storytelling, and data visualization.Associate Directors use data to quantify digital campaign performance and answer key business questions and inform media planning and buying. Additionally, this person will be responsible for managing additionalAAIteam members and resources as necessary. This position requires both strategic and tactical skill sets with an eye for numbers, intellectual curiosity, and proficiency with problem-solving, strong command of both traditional and digital media, and the ability to make complex topics relatable.

Responsibilities

• Execute, manage, and deliver best-in-class measurement to inform media buying.
• Lead discussions around KPI development, and technology integrations that can improve efficiency, range or quality of data, or support new media
• Guides internal and client teams on using comprehensive data visualization to build meaningful stories that influence decision-making.
• Develop data strategies and playbooks related to next-generation targeting.
• Collaborate with client contacts to establish deep knowledge of client’s business goals and challenges
• Develop client Learning Agendas and constructand execute "test and learn" measurement and consumer research roadmaps tiedbusiness questions and key performance goals.
• Translate data effectively to inform media planning, targeting and budget allocations and ensure client advertising investment is optimized to drive results
• Support media and audience analytics activities including developing precision audience recommendation for campaigns and mining target audience data for relevant and actionable insights
• Command expertise in media concepts, terminology, media math and media plan execution
• Lead and support media teams using syndicated data and proprietary tools to drive media targeting and budget allocations
• Manage, mentor, and development of direct reports
• Drive day-to-day insights & analytics efforts while contributing to larger cross-brand learning roadmaps.
• Develop approaches to address complex research and measurement challenges
• Lead data-centered learning initiatives on client’s behalf to inform optimizations and impact future plans

• • Execute measurement focused on ad/media effectiveness to drive campaign performance
  • Lead and support analytics activities such as modeling and statistical analysis
  • Manage digital campaign data for analysis, insights and reporting
• Proactively educate internal and external clients on research, tools and approaches
• Answer client questions and create client-ready presentations to present at client meetings
• Communicate opportunities, learnings and recommendations with authority and credibility
• Craft POV’s for internal and external knowledge sharing
• Evaluate new and current data partners, and identify new approaches to ensure our research is cutting edge

Qualifications

• Bachelor’s degree or higher in marketing, advertising, business, engineering, statistics, economics, sociology, or equivalent
• 5+ years in media / marketing research, consumer insight, business consulting, or digital advertising research/analytics/ insight
• A strong history of managing individuals, leading of teams, and client management
• Excellent project management, organizational, and communication skills
• Strong grounding in traditional and digital media advertising effectiveness
• Familiarity with syndicated and customer data environments
• Advanced knowledge of the measurement vendor marketplace and able to evaluate new capabilities
• Experience with statistical software packages (SAS,R, Python) a plus
• Proficiency in Microsoft Office Suite with advanced understanding of Excel
• Experience with visualization tools such as Tableau, GoodData, Datorama is a plus
• Familiarity with relational database concepts

Additional Information

All your information will be kept confidential according to EEO guidelines.