Sallie Mae-posted 3 months ago
Full-time • Senior
Hybrid • Newark, DE
Credit Intermediation and Related Activities

Sallie's Education Services team is a diverse group of growth-obsessed entrepreneurs, data analysts, engineers, and developers with a passion for imagining and building scalable businesses for students and families on their unique journey to-through and immediately after higher education. We're on a mission to revolutionize how students and their families plan, pay and complete this journey with confidence. Join a team of seekers, challengers and creative thinkers to change the way students plan for their future for the better. Sallie Mae's new venture, SallieSM, is looking for people like you to be the founding members who will define the future of education services for students and their families in the US. As the first education solutions company, we're creating products and experiences that help students when they need it most. We're connecting students to free money for school, providing tools and resources to plan for college, sharing inside advice on campus life, and so much more.

  • Define and execute the analytics and data science strategy aligned with business objectives.
  • Build, lead, and mentor a high-performing team of data scientists, analysts, and data engineers.
  • Champion a data-driven culture across the organization.
  • Oversee the development and deployment of predictive models, optimization algorithms, and statistical analyses.
  • Translate complex data into actionable insights that drive business outcomes.
  • Ensure analytical rigor and scalability in all data science initiatives.
  • Define, track, and report on key performance indicators (KPIs) and success metrics across business units.
  • Partner with stakeholders to ensure metrics are aligned with strategic goals and operational realities.
  • Lead the transformation of data into a managed product, with clear ownership, lifecycle, and value delivery.
  • Collaborate with product, engineering, and business teams to embed data products into workflows and customer experiences.
  • Identify and execute opportunities to monetize internal and external data assets.
  • Develop frameworks for evaluating data value, pricing models, and go-to-market strategies for data offerings.
  • Partner with IT and Engineering to ensure robust, scalable, and secure data infrastructure.
  • Promote best practices in data governance, quality, and compliance.
  • Serve as a trusted advisor to executive leadership and cross-functional teams.
  • Communicate insights and recommendations with clarity and influence.
  • Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, related fields, or equivalent experience.
  • 10+ years of experience in analytics, data science, or related roles, with 5+ years in leadership.
  • Proven success in building and scaling analytics functions in complex organizations.
  • Expertise in statistical modeling, machine learning, and data visualization.
  • Strong proficiency in tools such as Python, R, SQL, Spark, and cloud platforms (Snowflake, AWS, …).
  • Experience with data monetization strategies, data product management, and product development lifecycle.
  • Experience performing hands-on statistical analysis of data.
  • Experience partnering with finance team to build forecast models and financial analysis.
  • Experience in advertising technology, marketing analytics, or related domains.
  • Familiarity with deploying AI/ML models in production environments.
  • Thought leadership in data ethics, responsible AI, and emerging analytics trends.
  • Competitive base salaries
  • Bonus incentives
  • Generous PTO, Floating Holidays and 12 Federal Holidays observed
  • Support for financial-well-being and retirement 401k with employer match
  • Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more
  • Employer paid short-term/long-term disability and basic life insurance
  • Flexible hybrid working arrangements.
  • Paid parental leave and adoption reimbursement programs
  • Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)
  • Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives
  • Tuition Reimbursement and Family Scholarship Programs
  • Career development and training opportunities
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