Octane is a Fintech company whose mission is to connect people with their passions. The transaction process for large purchases such as powersports, RVs, and boats is slow and frustrating, but Octane is changing that through automated underwriting, innovative credit products, and financing through our in-house lender Roadrunner Financial.  Octane reaches millions of enthusiasts through editorial brands like Cycle World and Cycle Volta and helps consumers buy their favorite products with instant, frictionless financing on Octane.co. Octane is revolutionizing lending in under-served verticals that account for tens of billions of dollars in annual transactions. 

Octane is gaining traction quickly with customers, as evidenced by growth in originations through our platform of more than $1B since inception. Octane works with more than 3,500 merchants in the USA and offers promotional financing with low rates for more than 40 OEM brands.  Because we’re the platform and the lender, we have both high growth and positive unit economics - rare for a fintech. We have raised more than $192M in capital from leading investors, including Valar Ventures, IA Ventures, Contour Venture Partners, Third Prime, Progressive Insurance and Citi Ventures and our lending securities are rated AA by Standard & Poor’s.

What We Need

As the data engineering and infrastructure team, our mission is to allow Octane associates to seamlessly and confidently conduct rigorous analysis, build accurate reporting, and most importantly, make data-driven decisions to propel the business forward. Our vision is to create the best-in-class modern data platform that democratizes data within the company by accelerating the data engineering lifecycle through technical and process innovation. As the Product Manager of the Financial & Risk Data Products team, you are an evangelizer of the data platform, the first point of contact for stakeholders from the Finance and Risk teams, and a driver of the vision and goals of the Data team. This role will report to the Director of Product Strategy & Data.

What You'll Do 

• Lead the team to achieve success at our business objective of automating financial and risk reporting that enables our capital markets and credit objectives.
• Own and drive the data products and tools (e.g. SOT tables, convenience tables, business intelligence tools) roadmap and backlog of the Data team with the Engineering Lead of the Data Engineering team
• Lead the discovery and scoping of new data mart expansion, reporting automation, and operational automation engagements
• Partner with the Director of Product Strategy & Data and the Engineering Lead of the Data team to advance business intelligence initiatives and the data strategy at large, which includes but is not limited to, expanding the number of data sources available to analysts, building or integrating new tools to help teams derive business insights, and improving quality assurance
• Identify and prioritize data product improvements that serve the analytics, reporting, and research needs of all business and engineering stakeholders 
• Be the main point of contact and advocate for data stakeholders, which includes, but is not limited to, assisting with data investigations, sourcing inquiries, tooling performance issues, and best practices
• Partner with the Data Engineering team’s scrum coach to propel scrum rituals for the team, while assisting with the growth and development of the team

Who You Are 

• Must-Haves:

  • Bachelor’s Degree in Business, Engineering, Mathematics or related field
  • 4+ years of experience working in a data-intensive tech company — ideally within financial services — as either a product manager or analyst capacity 
  • You have familiarity with Agile/Scrum methodologies, scoping requirements (e.g. epics, stories, definitions of done, and acceptance criteria), managing cross-team dependencies, and building and executing roadmaps
  • You must have a strong understanding of business fundamentals and how data plays a part in the success of a hyperscaling startup 
  • You must have experience working with data as an end user, meaning you’ve designed and wrote SQL queries, extracted data from a warehouse, and used that data to conduct analysis, create reports, and build visualizations/dashboards
  • You are familiar with data querying IDEs (e.g. DataGrip), data visualization tools (e.g. Tableau), and data discovery tools (e.g. Atlan)
  • You are comfortable with being the point of contact and central problem solver for data stakeholders all across the organization. More specifically, you are a strong cross-functional communicator who can work with teams across Product, Engineering, Finance, and Risk and understand their distinct data needs 
  • You are able to conduct quantitative and qualitative analysis necessary to frame and solve complex problems 
  • You are able to prioritize and collaborate with others in a fast-moving, high-growth environment
  • You are meticulous and detail-oriented, especially when it comes to testing and ensuring new products are production-ready before introducing them into our platform
  • You have an entrepreneurial mindset and are genuinely interested in learning how companies hyperscale

  
  

  Nice-to-Haves:

  • Experience building logical data models and logical process models
  • Familiarity with AWS, Redshift, and Netsuite
  • Familiarity with Atlan or other data discovery tools

Benefits

• Robust Health Care Plans (Medical, Dental & Vision)
• Up to 5 weeks PTO (self-managed)
• Generous Parental Leave
• Retirement Plan (401k) with Company contribution 
• Educational Assistance/Tuition Reimbursement up to $3K/year 
• Powersports Safety Benefit: reimbursement of up to $500/year for the purchase of any powersports safety equipment
• Life Insurance (Basic, Voluntary & AD&D)
• Short Term / Long Term Disability & Life insurance
• Team Activities (remotely)
• Monthly company gift

Octane Lending is an equal opportunity employer committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status with respect to recruitment, hiring, promotion and other terms and conditions of employment.

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