Technical Data Product Manager

Sallie Mae Inc (SLM Corp)-posted 3 days ago
Full-time • Senior
Hybrid • Newark, DE
Credit Intermediation and Related Activities
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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. Our 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.

  • Lead the design and implementation of advanced audience segmentation frameworks by leveraging customer behavior, demographics, and engagement data.
  • Define and execute a comprehensive data integration strategy that aligns with business and product objectives.
  • Collaborate closely with Data Science and Data Engineering teams to define analytical use cases, shape data models, and develop dashboards, predictive models, and reporting tools.
  • Act as a bridge between technical teams and business stakeholders to align product capabilities with strategic goals.
  • Continuously evaluate and improve the effectiveness of data integration, reporting, and analytics workflows.
  • Own the product roadmap for data and analytics capabilities, ensuring alignment with company strategy and measurable impact.
  • BS in Business Analytics, Data Science, Finance, Computer Science, Software Engineering, Information Technology, or a related field; or equivalent practical experience in a technical or product leadership role.
  • 5+ years of experience in product management, program management, or related technical roles, preferably in fintech, SaaS, or customer-facing digital platforms.
  • Expertise in customer segmentation, cohort analysis, and behavioral analytics to personalize user experiences and drive targeted marketing strategies.
  • Track record of leveraging advanced data analytics and experimentation (e.g., A/B testing, multivariate testing) to guide strategic decisions, improve business outcomes, and optimize product performance.
  • Proven success working cross-functionally with engineering, design, data science, and go-to-market teams to define product strategy, roadmap, and deliver impactful solutions.
  • Strong analytical, quantitative, and problem-solving skills, with the ability to translate data into insights and actionable plans.
  • Experience with product development lifecycle (Agile/Scrum/Lean) and ability to prioritize, scope, and deliver features based on customer and business value.
  • Exceptional communication and storytelling skills, with the ability to articulate complex technical concepts to diverse stakeholders.
  • Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker) to monitor product performance and communicate insights.
  • Experience building and optimizing customer-facing digital products, in collaboration with UX/UI designers and researchers.
  • Ability to thrive in a fast-paced, ambiguous environment with a high degree of ownership and accountability.
  • Excellent organizational and time-management skills, with attention to detail and a commitment to quality execution.
  • Proficiency in SQL and hands-on experience with relational databases (e.g., PostgreSQL, MySQL, Snowflake) for querying and analyzing product and user data.
  • Experience with statistical computing and modeling tools such as Python, R, SAS, or Stata, and familiarity with machine learning or predictive analytics frameworks.
  • Proven ability to communicate effectively across technical and non-technical teams, including experience preparing executive-level presentations and product briefs.
  • Experience with MarTech platforms such as HubSpot, Segment, Braze, or Salesforce Marketing Cloud.
  • Familiarity with cloud platforms and modern data stacks, such as AWS, GCP, or Azure, and tools like dbt, Fivetran, or Airflow.
  • Experience in regulated industries (e.g., finance, insurance) and understanding of compliance, risk, and data privacy considerations in product design.
  • 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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