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

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.