Senior Vice President, Advanced Media Analytics

Job Description
We're looking for an SVP who:
Can help evolve the Data Sciences/Advanced Analytics/Modeling capability within the practice
Can help provide strategic thought leadership and subject matter expertise on Advanced Analytics/Modeling techniques to enhance our capabilities and bring new opportunities, approaches, ideas, perspectives, etc. to key clients.
Has a combination of deep and sophisticated advanced analytical/modeling expertise;
business acumen;
astrategic and technical mindset;
and client, relationship and project management proficiency, together with a passion for building new capabilities and teams
Can structure ambiguous problems, own and drive projects from start to finish, apply sound business judgment, and communicate complex information effectively
Has a genuine curious nature, desire to dive deep in the numbers to discover context and make the business case, and goes beyond usual approaches to solve problems and seize opportunities
Has the willingness to “have an opinion” backed up by insight and analytics and the confidence to influence key stakeholders in meetings
Duties and Responsibilities:
Leverage advanced analytic techniques to drive marketing performance (ex. site traffic, application volume, conversion rates, CPA, revenue, ROAS, LTV, etc.), isolate key KPI trends and performance pacing, optimize consumer online/offline experiences, predict consumer behaviors, maximize sales conversion, drive optimizations (across media investment and mix, target audiences, and creative messages) and forecast critical business outcomes
Work with complex data structures;
cleanse data and perform statistical analyses such as:
marketing mix modes (MMM), digital multi-touch attribution (MTA), TV attribution, media response analysis, time series analysis, predictive modeling, cluster analysis, user overlap analysis, path to conversion analysis, website analytics, lifetime value (LV) analysis, discrete choice/conjoint analysis, latent class &
other clustering techniques (segmentations), multivariate &
logistic regressions (ex. multivariate creative analysis), decision trees (e.G. CHAID/CART), factor &
correspondence/MDS analysis, simulation &
optimization, forecasting, etc.
Measure and optimize full-funnel, performance marketing initiatives (across paid search and display) to ensure activities are effective, efficient, and deliver a high return on investment (ROI).
Lead advanced analytics engagements from start-to-finish, including:
Stakeholder interviews/fact-finding to uncover client issues
Propose solution /analytical approach / methodology, with supporting rationale
Manage project timeline throughout, escalating potential roadblocks when necessary
Conduct modeling and analyses
Generate insights
Formulate strategic implications and recommendations
Produce easy-to-understand, error-free, and timely reports
Deliver final presentation of results
Effectively work across the advanced analytics/modeling lifecycle:
Definition of business questions and hypotheses
Data acquisition from different sources (ensuring adequacy, accuracy and legitimacy of data)
Data integration (merge, join, subset)
Data preparation and cleanup (missing data, outlier detection, duplications)
Model development
Conduct descriptive statistical and diagnostic techniques to determine model validity, accuracy and goodness-of-fit, such as:
p-values, MAPE, Variance Inflation factor (VIF), Durbin-Watson, etc.
Exploratory data analysis
Creating and optimizing modes including validation and interpretation
Data visualization (Excel, Tableau, R Shiny etc.)
Insights generation
Communication of results in a clear and succinct fashion
Self-sufficiently manage reporting responsibilities and analytical projects with guidance from senior team membersIndependently deliver results and presentations to internal stakeholders and clients
The quality, accuracy, and timeliness of work being done on behalf of our clients
Produce easy-to-understand, error-free, and timely deliverables that provide actionable insights that address client business objectives
Clearly define and manage project deliverables, timelines, and dependencies for junior team members, internal stakeholders, and clients
Support the development of measurement strategies, learning agendas, and roadmaps with input from senior team members and internal stakeholders
Provide training, project support, and career advice to junior team members
Connect the dots, glean insights, find the story, and articulate meaning to:
Address key business questions (‘the whats’)
Identify insights and provide context &
hypotheses (the ‘so-whats and why’)
Recommend strategic action (the ‘now-whats and what nexts’)
Devise and implement efficient and secure procedures for data handling and analysis
Help provide strategic thought leadership and subject matter expertise on advanced analytical techniques to enhance our capabilities, drive competitive advantage and bring new opportunities, approaches, ideas, perspectives, etc. to clients
Help establish and instill standards, methods and best practices that enable the Marketing Sciences practice to consistently provide best-in-class analytical deliverables
Provide the media strategy and execution teams with actionable insights to optimize the effectiveness and efficiency of media tactics and campaigns both across and within media channels
Deep dive analytics and statistical/machine learning modeling for precision audience targeting, paid search keyword and bidding optimization, display bidding optimization, etc.
Design of experiments to optimize media (budget, mix, audiences, messaging)