SVP, Media Analytics

Job Description:

This role is remote-friendly, preferred candidates located in west coast (or open to work PST hours)

The SVP Media Analytics, you will build and lead a cross-disciplinary team and will help unify these teams supporting greater thought leadership, efficiencies, strategic direction, and alignment across the agency. We are a department that specializes in turning data into actionable insight to drive media outcomes. Working closely with the EVP, the clients and with the agency leads on each client within the portfolio to be the industry leading voice of analytics innovation, build and lead at team of incredible talent and continually improve operational efficiencies.

The SVP has extensive experience in identifying solutions in sprawling media measurement marketplace and has the business mindset to convert into strategic opportunities for our client. They will help to ensure data accuracy and consistent reporting by identifying opportunities to improve processes and procedures, and then driving the implementation of these solutions across the clients and agency. The SVP is both expert in the state of the marketplace today and connected to the data/measurement/technology industry with an eye on evolving our relationship for the future. This role is a crucial collaborative partner to our strategy, audience science, media tools, ad tech, data, and digital, and operational teams across the agency.

You have a background in advertising media measurement, ad/mar technology and exposure to addressable identity solutions. In addition, the candidate will have knowledge of People Based Marketing, brand research, and measurement across personalization and segmentation, all broadcast and digital media, database, and web analytics, as well as testing methods. You will have experience working closely with ad operations teams, a strong quantitative background with working knowledge of new data set identification and onboarding. This person should also possess the expertise required to lead and continue building an innovative team, as well as the confidence to work with our internal executive team and senior clients.

We're looking for a high-energy collaborator who is experienced working across complex pieces of business. You are required to have proven experience building strong relationships with both internal teams and clients. With business acumen and client charisma the candidate will navigate and understand the client's culture, business objectives, and media strategy, and will have an appetite for innovation.

You will report to Chief Media Officer.

Responsibilities

• Oversee tools, technology and platforms utilized for the client

• Lead agency development efforts for analytics, including new and organic business pitches

• Drive process and procedures to support efficiency and consistency

• Drive strategic thinking and leadership for data analytics, insights and innovation

• Develop close working relationships with the client teams

• Help to set the vision for measurement, reporting, and analytics across all lines of business

• Support and drive the client "test and learn" philosophy for measurement

Requirements

• 11+ years relevant Media or Analytics experience

• Bachelor's Degree is required in Statistics, Economics or related a quantitative field

• Client-facing experience within media agencies, manage the analytics business for a portfolio of clients

• Excellent verbal and written communication skills, with ability to convey and package technical findings in simple terms

• Agency departmental leadership ability

• Executive partner management and vision setting

• Demonstrated thought leadership within the digital marketing or analytics industries

• Possess understanding of media planning and buying, with a focus on media metrics

• Analytics experience within integrated or digital communications or media agency preferred

• Experience with Data Visualization and Storytelling

• Drive the efforts to improve our measurement capabilities, such as enhancing methodology and establishing process on in-channel and cross-channel incrementality, effectiveness and efficiency

• Understanding of relational databases and programming languages (e.g., SQL, R, or Python)

• Experience with data sourcing, evaluation, onboarding and integration

• Be mindful of privacy and security: ensure that data handling meets legal and ethical standards to protect the agency and customers and their data

• Working knowledge of machine learning, statistical testing, and regression modeling

• Familia