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# VP, Data & Analytics with a FinTech Platform – Charlotte, NC


Role Overview for VP, Data & Analytics with a FinTech Platform – Charlotte, NC
JRG Partners is proud to represent a premier, rapidly scaling FinTech platform in their search for a transformative Vice President of Data & Analytics. Based in the vibrant financial hub of Charlotte, NC, our client is revolutionizing the financial services industry through innovative technology and a relentless focus on customer experience. This is a pivotal executive leadership role reporting directly to the Chief Technology Officer, designed for a strategic visionary who can harness the power of data to drive business growth, product innovation, and operational excellence.
As the VP of Data & Analytics, you will be the central figure in shaping and executing the company’s enterprise-wide data strategy. You will be entrusted with building a world-class data organization, fostering a data-driven culture, and implementing the infrastructure, processes, and governance required to turn vast datasets into actionable, strategic assets. You will lead a multi-disciplinary team of data scientists, data engineers, business intelligence analysts, and data governance specialists. Your work will directly influence every facet of the business, from enhancing customer acquisition and personalization, to optimizing risk management models, to identifying new revenue streams.
This is a unique opportunity to build a data function from a strong foundation into an industry-leading powerhouse. The ideal candidate is not just a technical expert but a compelling business leader, capable of translating complex analytical concepts into clear, impactful business strategies for C-suite executives and board members. If you are passionate about FinTech, a master of the modern data stack, and a proven leader who can inspire teams to solve complex challenges, we invite you to apply for this career-defining role.
Key Responsibilities of VP, Data & Analytics with a FinTech Platform – Charlotte, NC
The VP, Data & Analytics will have a broad and impactful scope of responsibilities, including but not limited to:
Strategic Leadership & Vision

Develop, articulate, and execute a comprehensive, forward-looking data and analytics strategy that aligns directly with the company’s overarching business objectives and long-term growth plans.
Act as the primary data evangelist across the organization, promoting the value of data-driven decision-making and fostering a culture of analytical curiosity and rigor.
Partner closely with executive leadership (CEO, CTO, CRO, CMO) to identify and prioritize business challenges and opportunities that can be addressed through advanced analytics, machine learning, and AI.
Define and manage the annual budget for the data and analytics department, ensuring strategic allocation of resources to maximize ROI on data-related initiatives.
Establish and monitor key performance indicators (KPIs) to measure the effectiveness of the data strategy and the impact of the analytics team on business outcomes.

Team Development & Mentorship

Recruit, lead, and mentor a high-performing, multi-disciplinary team encompassing data science, data engineering, business intelligence, and data governance.
Foster a collaborative, innovative, and inclusive team environment that encourages continuous learning and professional growth.
Set clear goals, provide regular feedback, and manage the performance and career development of all team members.
Structure the team for optimal efficiency and scalability, ensuring clear roles, responsibilities, and workflows.

Data Governance, Architecture & Operations

Design and oversee the implementation of a modern, scalable, and secure data architecture on a cloud platform (e.g., AWS, Azure, GCP).
Champion and enforce robust data governance policies, including data quality, data lineage, metadata management, and data privacy/security in compliance with regulations like CCPA and GDPR.
Collaborate with engineering teams to ensure the integrity and accessibility of data pipelines (ETL/ELT) and the performance of data warehouses/lakes (e.g., Snowflake, Redshift, BigQuery).
Take ownership of the enterprise data model and establish best practices for data management, ensuring a ‘single source of truth’ for critical business metrics.
Lead the charge in implementing industry-leading data governance frameworks to ensure data is treated as a critical enterprise asset.

Advanced Analytics, Machine Learning & AI

Lead the data science function to develop and deploy sophisticated predictive models and machine learning algorithms to solve key business problems, such as fraud detection, credit risk scoring, customer churn prediction, and lifetime value modeling.
Drive the research and application of AI and generative AI to create new product features, enhance operational efficiency, and deliver hyper-personalized customer experiences.
Oversee the entire modeling lifecycle, from ideation and feature engineering to deployment, monitoring, and continuous improvement (MLOps).

Business Intelligence & Stakeholder Reporting

Direct the business intelligence function to create and maintain insightful, self-service dashboards and reports for stakeholders across all departments (Product, Marketing, Sales, Finance, Operations).
Translate complex analytical findings into compelling narratives and actionable recommendations for both technical and non-technical audiences.
Establish a centralized reporting framework that provides a comprehensive, 360-degree view of business performance.

Requirements for the VP, Data & Analytics with a FinTech Platform – Charlotte, NC
We are seeking a seasoned professional with a unique blend of technical depth, strategic acumen, and leadership prowess. The ideal candidate will meet the following qualifications:
Professional Experience

A minimum of 12-15 years of progressive experience in data analytics, data science, or a related field.
At least 7+ years of experience in a senior leadership role, with a proven track record of building and managing high-performing data teams of 10 or more individuals.
Significant and demonstrable experience within the FinTech, banking, payments, or financial services industry is mandatory. A deep understanding of financial products, market dynamics, and regulatory landscapes is critical.
Proven experience developing and executing an enterprise-level data strategy from the ground up or through a major transformation.
Experience presenting complex data-driven insights and strategic recommendations to C-level executives and Boards of Directors.

Technical & Analytical Expertise

Expert-level understanding of modern data architectures and technologies, including cloud data platforms (AWS, Azure, or GCP), data warehousing solutions (Snowflake, Redshift), and data lake concepts.
Hands-on experience with the development and deployment of machine learning models in a production environment. Familiarity with MLOps principles and tools.
Strong proficiency in SQL and at least one programming language for data analysis (e.g., Python, R).
Deep knowledge of statistical analysis, predictive modeling, and experimental design (e.g., A/B testing).
Extensive experience with BI and data visualization tools such as Tableau, Power BI, or Looker.
Solid understanding of data governance principles and practical experience implementing data quality and security frameworks.

Leadership & Personal Attributes

Exceptional leadership and people management skills with an ability to inspire, motivate, and develop talent.
Outstanding communication and interpersonal skills, with the ability to influence and build consensus across all levels of the organization.
Strong business acumen and a strategic mindset; the ability to see the ‘big picture’ and connect data initiatives to tangible business value.
A highly analytical, intellectually curious, and problem-solving orientation.
Resilience and adaptability to thrive in a fast-paced, high-growth, and dynamic startup environment.

Education

A Master’s or Ph.D. in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or a related field is strongly preferred. A Bachelor’s degree with extensive, relevant experience will be considered.

Benefits & Perks Offered
Our client is committed to attracting and retaining top talent by offering a comprehensive and competitive compensation and benefits package. This includes:

Highly competitive base salary and executive bonus plan.
Meaningful equity/stock options package.
Comprehensive health, dental, and vision insurance with generous employer contributions.
401(k) retirement plan with a strong company match.
Generous paid time off (PTO), sick leave, and company holidays.
Paid parental leave.
A dedicated budget for professional development, including conferences, certifications, and continued education.
A modern, collaborative office space in Charlotte, NC, with flexible/hybrid work options.
Company-sponsored events, team-building activities, and a vibrant, inclusive culture.

How to Apply
JRG Partners is exclusively managing the search for this critical leadership position. If you are a visionary data leader ready to make a significant impact at a leading FinTech innovator, we encourage you to apply.
Please submit your resume and a cover letter detailing your relevant experience and leadership philosophy. To learn more about our dedicated focus in this sector, you can explore our expertise in Financial Technology recruiting. We look forward to reviewing your application and discussing this exciting opportunity with you.