Product Manager, Data Science * Eligible for signing bonus of up to $10k!*
Tampa, FL Product Management
Job Type

* This position is eligible for a signing bonus of up to $10k!*


Trellance is the leading provider of data, analytics, and business intelligence solutions to financial institutions. Organizations use its technology and consulting services to meet the consumer finance expectations of today’s digital world, one that is increasingly driven by artificial intelligence and machine learning. The company’s patented enterprise data platform, Trellance M360, is the enabling engine behind digital transformation and member experience. Trellance was founded in 1989, and its Tampa headquarters features a modern office space with panoramic water and city views, covered parking, onsite car detailing, and a café. The company offers attractive compensation; medical, dental, and vision benefits; 401k with matching plus profit-sharing; and many more tools and resources.

Overall responsibility:

The Product Manager, Data Science is responsible for defining the why, when, and what of the product that the data science team builds. Lead cross-functional teams from a product's conception all the way through to its launch. Analyze market and competitive conditions, laying out a product vision that is differentiated and delivers unique value based on customer demands. 


  • Build a strategic vision, goals, & roadmap for Trellance’s product and services, while growing professional skills to consistently meet business needs in a rapidly changing industry.
  • Lead cross functional and multi-disciplinary teams, to bring new products and features to market.
  • Research and define customer needs and translate those needs into user stories and functional requirements in an agile development environment.
  • Define minimum viable product and balances trade-offs between time, effort, investment, and value dimensions.
  • Collaborate with delivery teams including development, user experience, business analysts, and scrum masters to ensure that products meet the desired market need.
  • Collaborate with the marketing and sales organizations across the enterprise to clearly communicate product benefits and competitive differentiation.
  • Lead go-to-market activities to ensure that new products and features are successfully launched and supported across the organization.
  • Work with product leadership and finance to build the product business case as well as customer pricing.
  • Build rapport and relationships with clients and collects feedback to improve Trellance’s products and market position.
  • Monitor competitive offerings in the market and drive differentiated value proposition for Trellance products.
  • Build trust and effective relationships with peers and provide leadership across the division, product, and/or partner ecosystem.
  • Other duties as assigned.

Minimum Education/Experience:

Bachelor’s degree (BA or BS) from an accredited college or university plus a minimum of four (4) years of experience in the specific or related field or High School Diploma (or equivalent) plus a minimum of eight (8) years of experience in the field. 

Company / Industry Knowledge:

Prior experience in financial services and applied statistics are strongly preferred. 

Other Experience:

  • Experience with enterprise software or products designed for credit unions.
  • Experience with data science software such as Python, R, or equivalent language.
  • Experience with FinTech.
  • Track of record as a product manager,  designing, building and launching products that customers love and have a real business impact.
  • Problem framing – you can cut through the noise and laser focus on what really matters.
  • Strategic thinker, with the ability to dive into details, unfazed by technology or statistical complexity.
  • Developed multiyear visions for product aligned with business strategies. Have worked with one or more large enterprises to build scalable data science products.
  • Own metrics of your products and drive fast iterations of experiments.
  • Strong ability to develop product needs and effectively communicate to leadership, clients, data science, and technology. Detail-oriented, unfazed by technical detail, thrives in a fast-paced start up environment, committed to flawless execution.