WhiteCrow Research
Website:
whitecrowresearch.com
Job details:
About WhiteCrow
We are global talent research, insight, and sourcing specialists with offices in the UK, USA, Singapore, Malaysia, Hong Kong, Dubai, and India. Our international reach has helped us to understand and penetrate specialist markets at a global level. In addition to this, our service is also extended to complement our client’s in-house talent acquisition teams.
About our client
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.
As a VP, Senior Data Engineering Manager, you will be responsible for...
- Providing 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.
- Leading cloud data transformation and migration initiatives, helping define target-state cloud data engineering standards while ensuring solutions are remaining resilient, scalable, high-performing, cost-optimized, and secure.
- Driving data engineering excellence through AI adoption, automation, reusable frameworks, pipeline standardization, testing automation, and continuous improvement to reduce complexity, increase consistency, and accelerate delivery.
- Establishing and advancing best practices for data ingestion, transformation, standardization, productization, data quality, metadata management, lineage, observability, orchestration, automated deployment, data protection, and secure data consumption.
- Overseeing the development of best-in-class data models and testing practices that are aligning with business objectives and enabling trusted, consistent, secure, and easily usable data across the enterprise.
- Partnering with company leaders, the Data Office, Supervisory Affairs, Risk & Compliance, other process owners, and other Technology and Business stakeholders to ensure strategic data solutions are sufficiently mitigating risk, strengthening controls, and responding to regulatory expectations.
- Championing 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.
- Developing, coaching, and retaining a high-performing team through skill development, career growth, inclusive leadership, succession planning, and ongoing focus on team effectiveness.
- Performing other duties and/or special projects as assigned.
What you already have...
- 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.
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