Decision Science Lead
On-siteCharlotte, North Carolina, United States or Winston-Salem, North Carolina, United States
Job Summary
Lead Business Data Architecture Strategy by defining current-to-target state blueprints, establishing domain-based models, and driving the rationalization of legacy BI assets into scalable modern platforms. Define and enforce architectural standards for data quality, lineage, and governance to enable AI-ready foundations across the CSBB portfolio. Partner with business stakeholders and enterprise teams to align intake, prioritization, and solution design with long-term target states while fostering federated analytics and cloud migration efforts. Mentor analytics practitioners to promote architectural rigor, standardization, and reuse, ensuring continuous improvement in decision science delivery. Serve as a key interface between business, technology, and leadership to influence strategy, manage trade-offs, and drive quantifiable business outcomes through data-driven insights.
Required Qualifications
- English (Required)
- 1st shift (United States of America)
- Bachelor's degree in Banking, Finance, Economics, Data Science, Computer Science, Engineering, Analytics, Mathematics, or related field
- 7+ years of experience in data architecture, data engineering, decision science, or analytics within banking or financial services
- Demonstrated experience designing business data models, data architectures, and scalable data solutions across enterprise environments
- Strong understanding of modern data platforms (e.g., cloud data warehouses, distributed processing frameworks) and data product concepts
- Proven ability to influence cross-functional stakeholders and align business and technology priorities
- Must act as role model, able to perform in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights
- Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact
- Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact
- Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact
- Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques
- Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness
- Understanding of various database environments (IBM DB2, Oracle)
- Technical programming skills (SAS, SQL, Toad)
- Exposure to applied data science tools (R, Python, SAS Viya)
- Comfortability with cloud computing platforms (e.g. Snowflake, Amazon S3, Microsoft Azure)
- Familiarity with data visualization and BI tools (Tableau, Power BI, Qlik Sense)
- Demonstrated proficiency in Microsoft Office Suite (SharePoint, Excel, PowerPoint, Word)
- Experience leading complex, multi-domain initiatives with measurable business impact
- Strong communication, storytelling, and executive presentation skills
Desired Qualifications
- Master's or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
- 10+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
- 2+ years of analytics management experience with a diverse project focus and demonstrated results
- Experience supporting large-scale cloud migrations and modernization initiatives
- Familiarity with AI/ML data requirements and operationalization frameworks
- Experience in BI rationalization, data product lifecycle management, or enterprise data governance alignment
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