Senior Manager Marketing Data Scientist, AI Enablement

SoFi SoFi · Fintech · San Francisco, CA · General Marketing

This role leads the Modeling & AI Enablement function within Marketing Data Science, focusing on building AI-driven competitive advantage and accelerating enterprise AI adoption. It involves defining strategy, developing AI-powered tools and platforms, guiding model development, ensuring responsible AI practices, and leading a team of data scientists. The role partners with Engineering, Marketing Technology, Risk, and Governance stakeholders.

What you'd actually do

  1. Own the modeling and AI enablement strategy for MDS, aligning with SoFi’s broader AI, marketing, and growth priorities.
  2. Lead the development of AI-powered tools, frameworks, and platforms that scale productivity for data scientists, analysts, and marketers.
  3. Guide the design, deployment, and monitoring of predictive and optimization models across acquisition, lifecycle, personalization, and measurement.
  4. Serve as a senior point of contact for AI governance, working with MRM, Fair Lending, Privacy, Cybersecurity, and the AI Committee.
  5. Build, mentor, and lead a high-performing team of data scientists and AI practitioners.

Skills

Required

  • Python
  • SQL
  • ML frameworks (scikit-learn, PyTorch, TensorFlow)
  • LLMs
  • prompt engineering
  • AI application development
  • building scalable, automated data systems or AI-enabled applications
  • people management
  • stakeholder management

Nice to have

  • marketing
  • fintech
  • consumer tech
  • ML governance
  • model monitoring
  • compliance frameworks (MRM, Fair Lending, etc.)

What the JD emphasized

  • lead the Modeling and AI Enablement function
  • building model-driven competitive advantage
  • accelerating enterprise AI adoption
  • develop leaders and systems that empower every MDS lead and practitioner to effectively adopt and scale AI
  • AI-enabled modeling, automation, and decisioning
  • AI-powered tools, frameworks, and platforms that scale productivity
  • production-grade, scalable, and well-integrated into existing ecosystems
  • model evaluation, monitoring, and lifecycle management standards
  • responsible AI adoption
  • regulatory, ethical, and risk management standards
  • high-performing team of data scientists and AI practitioners
  • Elevate the AI maturity of the broader MSD organization
  • translating complex AI capabilities into clear business value
  • 10+ years of experience in data science, machine learning, or applied AI
  • at least 2+ years of experience of managing/leading people
  • Experience with LLMs, prompt engineering, and AI application development in enterprise settings
  • Proven record of building scalable, automated data systems or AI-enabled applications
  • Familiarity with ML governance, model monitoring, and compliance frameworks (MRM, Fair Lending, etc.) is a plus

Other signals

  • leading AI enablement
  • scaling AI adoption
  • building model-driven competitive advantage
  • developing leaders and systems that empower every MDS lead and practitioner to effectively adopt and scale AI
  • AI-powered tools, frameworks, and platforms that scale productivity for data scientists, analysts, and marketers
  • production-grade, scalable, and well-integrated AI solutions
  • responsible AI adoption
  • elevate the AI maturity of the broader MSD organization