Financial Services • FinTech • Student Loan Refinancing • Medical Student Loan Debt
51 - 200
July 4
Financial Services • FinTech • Student Loan Refinancing • Medical Student Loan Debt
51 - 200
• As a Senior Product Manager at Splash, you will play a pivotal role in driving strategic initiatives and shaping the future of our data engineering, advanced analytics, and machine learning endeavors. • Leveraging your expertise and visionary leadership, you will spearhead efforts to harness the power of data to drive business growth and innovation. • Strategic Leadership: Ability to wear multiple hats as a strategic visionary leader in the field of data engineering, advanced analytics, and machine learning. • Market Research: Conduct thorough research on fintech data science industry trends to identify opportunities for leveraging advanced analytics, artificial intelligence, and machine learning to address specific needs. • Roadmap Development: Develop a compelling roadmap for advanced analytics and machine learning, outlining the future and long-term strategy for data science within the organization. • Prioritization and Coordination: Prioritize work for data analytics, engineering, and data science teams, and articulate any roadmap dependencies across other engineering branches. • Product Backlog Management: Manage and articulate a product backlog for data science and data engineering teams, ensuring alignment with overall business goals. • Technical Proficiency: Possess deep understanding and technical proficiency in data engineering, advanced analytics, and machine learning to set up Minimum Viable Products (MVPs) and differentiate between value-adding initiatives and those with minimal impact. • Domain Knowledge: Demonstrate business domain knowledge in the fintech industry or similar domains. • Autonomous Impact: Thrive on the opportunity to work autonomously, driving impactful initiatives in a fast-growing, ever-evolving business environment. • Technical Skills: Extensive knowledge in SQL, business intelligence tools (e.g., Tableau, Power BI, Sisense), Python and relevant packages for machine learning, and familiarity with cloud AWS infrastructure, data engineering, and warehousing tools (e.g., Snowflake, Redshift, AWS Firehose, GitHub, and data build tools like dbt).
• Proven experience (5+ years) in a Senior Product Management role with a focus on data engineering, advanced analytics, and machine learning. • Strong track record of successfully developing and executing strategic roadmaps for data science initiatives. • Exceptional communication and leadership skills, with the ability to effectively prioritize and coordinate cross-functional teams. • Previous experience in the fintech industry or similar domain is highly desirable. • Ability to thrive in a fast-paced, dynamic environment and drive autonomous impact.
• Fully remote work freedom • Competitive salary packages • Flexible PTO + 9 company holidays • Equity: Share in our start-up success • Comprehensive and affordable insurance benefits • Paid parental leave for both caregivers • Essential equipment to get the job done • 401(k) for your future savings • Quarterly meet-ups: In person & virtual fun • Awesome Splash swag to flaunt your team spirit
Apply Now