About the job
About Us:
At Dave, we are redefining the banking experience for millions of members across the United States. As a leading neobank, we leverage innovative technology to offer exceptional financial services at a fraction of the cost of traditional banks. Our flagship offering, ExtraCash, allows members to access up to $500 in short-term, interest-free advances within minutes of signing up, providing unmatched speed and value when compared to conventional overdraft options. This unique approach is integral to our strategy of efficiently growing our user base of active Dave debit cardholders.
The Role:
We are on the lookout for a dynamic Lead Technical Program Manager who possesses extensive technical knowledge and experience in managing intricate data projects that encompass data engineering, governance, advanced analytics, and AI/ML initiatives. In this pivotal role, you will spearhead high-impact programs aimed at modernizing our data infrastructure, implementing AI capabilities, and delivering reliable insights that enhance credit decision-making, fraud detection, personalized experiences, and product intelligence. Your collaboration will span across various domains, including Product, Operations, Marketing, Legal, and Compliance, ensuring that technical implementations align seamlessly with our business objectives.
As the Lead TPM, you will orchestrate the delivery of projects across multiple engineering teams, expertly navigate complex interdependencies, align stakeholders around priority tasks, and bring clarity to fast-paced and ambiguous challenges. You will serve as the crucial link between technical teams and business outcomes, ensuring that our data, AI, and analytics capabilities are delivered with high quality, predictability, and measurable impact.
Your Responsibilities:
Lead and drive strategic initiatives within the Data, AI, and Analytics sectors, focusing on platform modernization, machine learning implementation, and robust data governance.
Collaborate with leaders in Data Engineering, Data Science, and Analytics to construct and prioritize the Data roadmap, balancing scope and objectives with our company’s strategic goals while making informed prioritization and trade-off decisions in a rapidly changing environment.
Manage end-to-end project delivery across various engineering squads, overseeing complex dependencies across data pipelines, modeling workflows, and analytics infrastructure, from data ingestion to actionable insights.
Facilitate the operationalization of AI models into production, collaborating closely with machine learning teams to ensure successful deployment and performance.