Sr. Manager, Marketing Measurement Science

Description
The Role:
The Senior Manager of Marketing Measurement Science is the internal expert on methodology and practice of measurement and optimization of media mix spend on sales and subscriptions. This individual has deep technical expertise in measurement methods and media mix modeling, including advanced econometrics and statistical methods used to qualify media impacts and integration of 1P/3P data sources. They also have expertise in the economics of media channels (i.e., TV, Display, Paid Search, Paid Social, Programmatic, etc), measurement of ROAS lift, and coordination of tactics through sequencing and frequency caps.
This leader will work closely with stakeholders in GM's vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, objective performance evaluation, and optimization of audience activation that drive sales. The individual has expertise in data privacy issues, Martech concepts and demand generation tactics.
As a leader with a technical background, you will be responsible for leading a team of hands-on practitioners, drawing insights, and creating scalable data products and models that identify channel and tactic level high return on investment. Our team is focused on delivering future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs.
This is a global role focused on driving analytics partnership and strategy. You will be an ambassador for the greater Enterprise Data, Analytics, and Insights team, and focused on democratizing data and decisions. You will lead a team and be tasked with their growth and development through instruction, education, coaching, and mentorship, amplifying the value and impact that analytics can make across GM. This leader has balance - they strike the right chord of technical leadership and coaching, humbly elevating and advocating for their team - with an equilibrium of storytelling, showing influence and strategic focus for peers and leaders of supporting functions, enabling them to drive revenue growth.
What You'll Do:

• Possess contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement.
• Deep knowledge of marketing media measurement techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms.
• Own a strategic roadmap with executable outcomes to provide business value and impact.
• Having exceptional stakeholder management skills, able to prioritize asks, and move requests from the point of curiosity into realized data products, insights, and solutions.
• Possessing knowledge of how to map data skills, techniques, and tools to problems.
• Working with a product owner and teammates to develop requirements definitions.
• Exhibit a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact.
• Exhibit the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive.
• Lead, mentor, and develop a team that can tackle diverse problems across the business, identifying strengths and weaknesses and allocating accordingly.
• Ensure a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff

Your Skills & Abilities (Required Qualifications):

• 9+ years of experience in analytics, data science, or quantitative insights in an enterprise setting.
• 5+ years working with a marketing / media team on shared objectives.
• 2+ years of experience successfully leading technical teams or work.
• Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics.
• Deep knowledge around the proper application of causal inference techniques (A/B testing, diff-in-diff, synthetic control, geo-based experiments), hypothesis testing, statistical/econometric modeling (hierarchical Bayes, fixed/random effects, survival analysis, latent class modeling, non-random treatment effects, endogeneity correction), univariate and multiple time series analysis (ARIMA, VAR, State-Space), supervised and unsupervised machine learning models.
• Prior experience with at least one of the following methodologies: media mix modeling, multitouch attribution, customer lifetime value, customer loyalty and churn, behavior-based segmentation, incrementality modeling, multi-touch attribution, propensity modeling or targeting.
• Skilled in multiple programming languages and statistical analyses/ machine learning tools (Python, R, SAS, SQL, Pyspark) and extensive experience in Big Data platforms (AWS, S3, Azure/Databricks).
• Strong drive for results and intellectual curiosity; must be a self-starter.
• Ability to train, mentor, and evaluate the technical capabilities of others.
• Prior experience evaluating and/or hiring high-performing talent.
• Strong project management skills with demonstrated success.
• Familiarity with Agile project management and product development.
• Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.
• Excellent team player with strong interpersonal skills and a highly collaborative work style.
• Excellent oral, listening, presentation, and written communication skills.

Additional Description
This role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, or Warren, MI, you are expected to report to that location three times a week, at minimum.
This job may be eligible for relocation benefits.
A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.
The compensation information is a good faith estimate only. It is based on what a successful applicant in the California Bay Area which includes the following counties: Marin, Contra Costa, San Francisco, Alameda, San Mateo, Santa Clara, and Santa Cruz might be paid in accordance with the California law.
The compensation may not be representative for positions located outside of the California Bay Area.
The annual salary range for this role is $172,900 - $264,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE
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