Senior Vice President, Applied Analytics

Company description

With a history that dates back over 80 years, Starcom is a global communications planning and media leader. We are an agency still grounded in our founding principle that people are at center of all we do. Each day, we apply this belief to harness the transformative power of data and technology to inspire and move people and business forward. With more than 7,000 employees in over 100 offices around the world, Starcom partners with the world's leading marketers and brands, including Bank of America, Best Buy, Kellogg Company, McDonald's, Novartis, Samsung, Visa and more.

Overview

The Applied Analytics 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 Senior Vice President serves as the main point of contact for digital media measurement and analytics for our client and as the analytics lead for their given account. This person will be responsible for an analytics team that uses 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.

The SVP will be a thought leader and go‑to expert for all things media‑measurement and leans in to lead and execute agency‑wide initiatives.

Responsibilities

• Consult with clients to define and answer their most important business questions, advising on how to best leverage data on media & marketing investments to drive business results

• Drive a culture of ‘always on’ data‑driven decision making that will institutionalize the use of consumer‑driven analytics in media/marketing investment planning

• Provide thought leadership and be a subject matter expert in the designing and recommending appropriate analytic methodology and approach to address key client questions

• Lead measurement framework development and define media KPIs linked to the business objectives

• Build the profile of Data and Analytics by packaging and evangelizing best in class client work and provide the clear data and analytics story –why the work is important, the truths that the analytics reveal, and the actions that should follow the analyses

• Work closely with the internal client teams to deliver high‑quality execution of a diverse array of client and project deliverables.

• Primary lead for brand teams (agency and client) on campaign/brand measurement research development and implementation

• Guide and work closely with the investment and planning teams and the client teams to deliver on “data‑driven” marketing investment decisions (how much, where, when, which channels, etc.) and demonstrate delivery against business objectives

• Consult with client media teams to align with the strategy, measurement, and optimization plans

• Develop, manage, and mentor a team and lead strategic efforts and departmental vision

Qualifications

• Bachelor’s degree preferred, preferably with a concentration in marketing, advertising, communications, business, sociology, or consumer insights

• 12+ years in media, analytics, marketing research, consumer insights, business consulting, or digital advertising analytics

• 8+ years of people management experience with progressing roles and responsibilities

• Excellent project management, organization, leadership, presentation and communication skills

• Strong grounding in traditional and digital media advertising effectiveness methods including ROI, preferably working knowledge of market mix model results

• Knowledge and interest in learning about the traditional and digital media research measurement vendor marketplace, with the ability to identify and evaluate new capabilities across suppliers

• Experience with competitive reporting systems and interest in the competitive landscape of the technology marketplace

• A team player with proven ability to work well with others, acting both resourceful and collaborative

• Experience with statistical software packages (SAS,R, Python) a plus

• Proficiency in Microsoft Office Suite with advanced understanding of Excel

• Experience with…