GM Financial Technology is looking to modernize its operations and reimagine customer interactions through AI-powered transformation, utilizing advanced machine learning and automation. The Digital Data Engineering Manager will be instrumental in building and maintaining the marketing data infrastructure and tag management platforms to support this digital innovation.
Requirements
- 3+ years of hands-on experience with Adobe Experience Platform including RTCDP, CJA, Adobe Analytics, and Adobe Audience Manager
- Experience with website tagging and analytics, including advanced-level experience with either Google and/or Adobe web analytics and tagging software
- Demonstrable experience with Adobe Experience Platform data ingestion
- Solid understanding and experience working with data, databases, and popular data tools (e.g. SQL)
- Experience with data ingestion, taxonomy, ETL development
- Expert in data management strategies and industry tools/technologies (Martech, Adtech)
- Experience in architecting marketing data
Responsibilities
- Lead a best-in-class data engineering team and practice within the marketing team at GMF, focusing on on-time, on-quality and on-cost of Marketing data and operations
- Define and execute a multi-year data engineering vision and plan
- Develop/define data standards, executing data layer for marketing data, ingestion and quality (QA/QC) of marketing data for activation and analytics, operationalizing adTech capabilities, and driving operational excellence for campaign production and execution
- Develop and operate an effective data governance model
- Work closely with leadership, partner organizations, and implementation teams to drive design & oversight of APIs, data sharing capabilities, and support models to underpin modern marketing transformation strategy
- Ensure that recurring data process and activities are highly automated to improve outcomes (time, quality, robustness, etc.) while increasing efficiencies (costs, streamline processes, etc.)
- Oversees the design and management of data pipelines for ingestion, transformation, and activation across marketing systems, including real-time customer data processing.
Other
- 10+ years of relevant professional experience, with multiple years of managing individual team members in some combination of data engineering, marketing analytics, data science, big data, business intelligence, and/or process engineering
- Develop and maintain strong relationships with other team leads across the broader enterprise; including information and activity sharing, and collaborating towards common data goals
- Responsible for individual team member’s career planning, training, and growth
- Stay abreast of industry best practices, and provide company thought leadership around tools and marketing technology as well as industry topics and trends
- Be solutions-minded by working with business stakeholders to truly understand their needs and challenges, and then delivering on the right solutions
