Senior Data Science Product Manager | Growth and Transformation

Red Ventures•Charlotte, NC

6h•$155,000 - $220,000•Hybrid

About The Position

This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our South Charlotte, NC Headquarters (Tuesday through Thursday) and work fully remotely on Fridays each week. Our Growth and Transformation team (RVGT) is looking for a Senior Data Science Product Manager to drive the development of AI/ML-powered digital products that enhance customer acquisition, engagement, and retention. RVGT partners with Fortune 500 companies to create data-driven solutions that transform the way they operate—leaving behind cutting-edge technology, scalable infrastructure, and new ways of working. Our teams leverage machine learning and AI to leverage rich customer data and inform every step of the customer journey. We partner closely with our clients, across a number of different industries, to develop applications that will impact how we produce media, personalize our site experience, converse with our customers, and add intelligence into our digital buy-flows. In this role, you will have the opportunity to directly influence the digital customer experience for one of our partners. You will be responsible for contributing to the product strategy for enhancing the customer experience. You’ll have autonomy to propose feature development, set the KPIs for the product(s) you contribute to, and be accountable for driving growth against your KPIs by utilizing advanced ML concepts to create personalized user journeys. We expect our Senior Data Science Product Managers to be hands-on technically, both in how they leverage data to identify opportunities and leverage the team’s ML/AI solutions to drive business value and usage. We are looking for individuals who have experience leading product development and in hands-on involvement developing ML and AI solutions.

Requirements

Technical Depth : Hands-on experience with data-related programming (SQL, Python) and a proven track record of building with LLMs or automating processes.
Strategic Rigor : The analytical ability to uncover signals in ambiguous financial data and the critical thinking to determine not just what to build, but why it matters for the client.
Product Mindset : You possess the "product sense" to prioritize features based on client impact and business value. You are skilled at navigating trade-offs in fast-paced environments and can translate ambiguous client needs into a clear, actionable product vision
Banking & Customer Acquisition Affinity : An interest in solving problems within high-compliance financial environments focused on shepherding customers from initial interest to a sticky relationship.
Execution Mindset : You are a "doer" who can build proof-of-concepts or prototypes to demonstrate the value of potential AI investments.

Responsibilities

Drive Strategic Transformation: Act as the day-to-day lead on strategic banking initiatives, ensuring AI/ML solutions align with business objectives and client needs.
Build the Future of Banking: Identify opportunities for AI to create value, from automating complex financial workflows to building agentic systems for real-time client assistance.
End-to-End Ownership: Own the product lifecycle from initial business case and feasibility assessment to hands-on execution and long-term optimization.
Technical Leadership: Partner closely with engineering and data science teams to translate high-level banking goals into detailed technical deliverables.
Mentor & Influence: Manage and develop junior DSPMs while serving as a high-visibility point person for senior stakeholders across the organization.