VP, Senior Data Engineering Manager

Our client operates in the consumer financial services space, focusing on making everyday purchases and essential needs more accessible through flexible financing solutions. They support individuals across their financial journey—from obtaining their first line of credit to managing long-term financial flexibility—by enabling more informed and responsible credit decisions.

Our client has built a vast network that connects consumers with a wide range of small and mid-sized businesses, as well as providers in the health and wellness sector. Through this ecosystem, they play a meaningful role in supporting both customer financial well-being and the growth of businesses that form a critical part of the broader economy

Responsibilities:

• Provide vision, leadership, and strategic direction for data engineers to deliver modern, high-quality data pipelines, models, and products, while fostering
• innovation and new approaches to solving enterprise technical challenges.
• Lead cloud data transformation and migration initiatives, helping define target-state cloud data engineering standards while ensuring solutions are resilient, scalable, high-performing, cost-optimized, and secure.
• Drive data engineering excellence through AI adoption, automation, reusable frameworks, pipeline standardization, testing automation, and continuous
• improvement to reduce complexity, increase consistency, and accelerate delivery.
• Establish and advance best practices for data ingestion, transformation, standardization, productization, data quality, metadata management, lineage,
• observability, orchestration, automated deployment, data protection, and secure data consumption.
• Oversee the development of best-in-class data models and testing practices that are aligned to business objectives and enable trusted, consistent, secure, and easily usable data across the enterprise.
• Partner with company leaders, the Data Office, Supervisory Affairs, Risk & Compliance, other process owners, and other Technology and Business
• stakeholders to ensure strategic data solutions sufficiently mitigate risk, strengthen controls, and respond to regulatory expectations.
• Champion agile delivery with the Office of Agile and cross-functional teams using SAFe methods, managing execution across multiple priorities, projects, and release trains while proactively addressing dependencies, risks, and issues.
• Develop, coach, and retain a high-performing team through skill development, career growth, inclusive leadership, succession planning, and ongoing focus on
• team effectiveness.
• Perform other duties and/or special projects as assigned.

Requirements:

• Bachelor's Degree and a minimum of 12 years of IT experience, OR in lieu of a Degree minimum of 14 years of experience in an IT environment
• Minimum of 5 years of data engineering experience leveraging public cloud capabilities.
• Minimum of 7 years of experience in a large complex organization
• Minimum of 9 years of Demonstrated experience leading data engineering delivery for enterprise-scale data platforms, pipelines, data models, or analytic products.
• Ability to communicate complex technical concepts clearly to business, technology, risk, and executive stakeholders