Senior Staff Marketing Data Scientist, AI Enablement

Sofi
United StatesPosted 20 March 2026

Job Description

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: We are seeking a Senior Manager, Modeling AI Enablement to lead the Modeling and AI Enablement function within Marketing Data Science (MDS). This role is a critical leadership position responsible for building model-driven competitive advantage and accelerating enterprise AI adoption across Marketing, Strategy, and Decision Sciences.. You will set the vision and execution roadmap for AI-enabled modeling, automation, and decisioning—while developing leaders and systems that empower every MDS lead and practitioner to effectively adopt and scale AI. This role blends people leadership, technical strategy, and cross-functional influence, partnering closely with Engineering, Marketing Technology, Risk, Governance, and Executive stakeholders. What you’ll do: Modeling AI Strategy Leadership Own the modeling and AI enablement strategy for MDS, aligning with SoFi’s broader AI, marketing, and growth priorities. Define and deliver a multi-year roadmap for predictive, generative, and decisioning models that drive measurable business impact. Identify and incubate next-generation AI capabilities (LLMs, agent-based workflows, automation frameworks) that create durable competitive advantage. AI Enablement Platform Development Lead the development of AI-powered tools, frameworks, and platforms that scale productivity for data scientists, analysts, and marketers. Oversee the build and deployment of internal LLM applications, model-assisted analytics, intelligent experimentation tools, and automated reporting solutions. Partner with Data Engineering and Marketing Technology to ensure AI solutions are production-grade, scalable, and well-integrated into existing ecosystems. Model Development Decisioning Guide the design, deployment, and monitoring of predictive and optimization models across acquisition, lifecycle, personalization, and measurement. Ensure modeling best practices across experimentation, causal inference, and performance measurement. Establish robust model evaluation, monitoring, and lifecycle management standards. Governance, Risk Responsible AI Serve as a senior point of contact for AI governance, working with MRM, Fair Lending, Privacy, Cybersecurity, and the AI Committee. Drive responsible AI adoption through standardized documentation, validation, and compliance workflows. Ensure models and AI systems meet regulatory, ethical, and risk management standards. People Leadership AI Evangelism Build, mentor, and lead a high-performing team of data scientists and AI practitioners. Elevate the AI maturity of the broader MSD organization through enablement sessions, playbooks, and hands-on guidance. Act as a trusted advisor to MSD and Marketing leaders, translating complex AI capabilities into clear business value. What you’ll need: 10+ years of experience in data science, machine learning, or applied AI, ideally in marketing, fintech, or consumer tech; and with at least 2+ years of experience of managing/leading people Strong proficiency in Python, SQL, and ML frameworks (scikit-learn, PyTorch, TensorFlow). Experience with LLMs, prompt engineering, and AI application development in enterprise settings. Proven record of building scalable, automated data systems or AI-enabled applications for marketing or analytics teams. Familiarit ... (truncated, view full listing at source)
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