Sr. Manager, Marketing Analytics & Insights, Marketing Applied Sciences Team

Posted 2 Days Ago
Remote
Expert/Leader
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Role
The Senior Manager of Marketing Analytics & Insights drives the transformation of raw marketing data into actionable insights. This role involves developing frameworks for tracking KPIs, automating data processes, and generating recommendations for marketing strategies. Responsibilities include evaluating campaign effectiveness, creating analytics tools, leveraging data for budget optimization, and mentoring analytics teams.
Summary Generated by Built In

Description
The Role
The Senior Manager of Marketing Analytics & Insights is the internal expert in transforming raw marketing data into actionable insights and data products that empower brands to track KPIs, identifying opportunities, and optimizing marketing strategy. This leader will drive the development of a holistic analytics framework, from integrating and processing multi-channel marketing data to generating real-time, personalized recommendations that enhance campaign performance.
This individual has technical expertise in the creation of data assets, system architecture and dashboard tools and analytic data products from a marketing and media discipline. They have experience on identifying insights from the analysis of media channels (i.e., TV, Display, Paid Search, Paid Social, Programmatic, etc), measurement of ROAS lift, and coordination of tactics.
This global role involves partnering with stakeholders in corporate and vehicle brands and GM Marketing teams to ensure adoption and utilization of insights, dashboards and data products, and optimization tools. They will champion the value of data-driven insights and analytics, acting as an ambassador for the Enterprise Data, Analytics, and Insights team. Additionally, they will cultivate the growth of your team through mentorship and education, ensuring the delivery of high-impact insights. 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.
What You'll Do

  • Leading the transformation of raw data from multiple marketing channels (social, email, PPC, organic) into actionable insights and scalable data products in a cloud environment.
  • Developing frameworks that tracks marketing KPIs, drive automation that surfaces opportunities and anomalies, and provide recommendations for marketing optimization.
  • Generating data-driven recommendations that feed into experimentation, campaign activation, and ongoing marketing strategy.
  • Tracking and evaluating the effectiveness of marketing initiatives, measuring KPIs, calculating ROI, and monitoring budget efficiency across channels, in partnership with our measurement science team.
  • Benchmarking marketing performance against industry standards.
  • Creating customizable analytics / data products and automated solutions to cater to diverse stakeholder needs, enabling data-driven decision-making across the organization.
  • Leveraging data, machine learning, models, and automation to support scenario planning, "what-if" analysis, and budget allocation optimization.
  • Mentoring, developing, and coaching a team of analytics practitioners, fostering a culture of continuous learning and growth.
  • Aligning the team's work with the broader enterprise data strategy, ensuring they contribute to driving business outcomes.


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.
  • Expertise in programming languages such as Python, SQL, Java, Scala, or R, with deep knowledge of data manipulation, optimization, and performance tuning.
  • Extensive experience with advanced big data frameworks and tools like Hadoop, Apahe Spark, Kafka, for processing and analyzing large-scale datasets.
  • In-depth knowledge and hands-on experience with cloud platforms like Azure, AWS, Databricks or Google Cloud, and their data services.
  • Mastery, leadership, and innovative design using data engineering tools and frameworks for building highly scalable and efficient data pipelines.
  • Expert-level proficiency in data modeling techniques, database design principles, and mastery of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
  • Consistently thinks strategically and aligns data engineering initiatives with broader business goals and objectives, driving innovation, efficiency, and revenue growth opportunities.
  • Excellent communication and interpersonal skills to effectively collaborate with stakeholders, understand their requirements, and deliver data solutions that meet their needs.
  • Models and coaches advanced problem-solving skills to identify and resolve complex data engineering challenges, and the ability to think critically to optimize data processes and workflows.
  • Manages and influences roadmaps and delivery methods affecting project delivery methods for the data engineering workforce, ensuring onboarding and adoption success.
  • Consistently models a strong commitment to continuous learning and creates spaces for teams to stay updated with the latest advancements in data engineering technologies and driving innovation within the organization.


Additional Description
This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.
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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About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Diversity Information
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Top Skills

Java
Python
R
Scala
SQL
The Company
Langley, British Columbia
165,000 Employees
Hybrid Workplace
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all.

Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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General Motors Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

Typical time on-site: 3 days a week
Kapuskasing, Ontario
Langley, British Columbia
Markham, Ontario
Oshawa, Ontario

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