Triumph Financial, Inc.

Product Manager

• Lead and communicate the product vision and strategy in alignment with company objectives.
• Manage the full product lifecycle from discovery to launch and iteration.
• Collaborate closely with software engineers, designers, data, and marketing teams to deliver high-quality products on time.
• Analyze market trends, customer feedback, and product performance to guide decision-making.
• Prioritize product features and enhancements based on business impact and customer value.
• Mentor and inspire the product team, sharing best practices and helping elevate the team's capabilities.
• Influence key stakeholders, including executives, to align and drive support for product initiatives.
• Identify new product opportunities and stay ahead of emerging technologies.

Staff Product Manager

Data Analyst

• Lead in-depth analyses of customer usage, product adoption, financial performance, and operational metrics to identify trends and opportunities.
• Collaborate with Customer Success Managers and clients during onboarding to validate model results, scrub and map data, and deliver actionable recommendations.
• Partner with product managers to define KPIs and measure the impact of product changes.
• Create advanced dashboards and interactive reports using tools like Power BI and Tableau to support executive decision-making.
• Aggregate data from multiple systems to provide comprehensive insights and support strategic initiatives.
• Implement and document processes to ensure data integrity, governance, and reporting accuracy.
• Serve as a subject matter expert in transportation data and contribute to the development of the organization’s long-term data strategy and roadmap.
• Provide ad-hoc reporting and support for compliance, legal audits, and discovery requests.
• Collaborate with technology and business partners to promote automation and deliver successful reporting-related projects.
• Mentor junior analysts and business analysts, promoting best practices and professional development.
• Create board-level reports and contribute to strategic presentations for senior leadership.

Senior Data Analyst

Customer Success Manager

• Guide new customers through onboarding, ensuring a smooth transition and early adoption of Triumph’s data tools.
• Conduct regular check-ins and business reviews to assess progress and reinforce value.
• Help customers interpret dashboards, reports, and analytics to inform decisions and optimize performance.
• Monitor customer engagement and product usage, proactively addressing risks and surfacing opportunities for deeper adoption.
• Build consultative relationships by understanding customer goals and aligning Triumph’s solutions to meet their needs.
• Support account retention by delivering consistent value and helping customers achieve their desired outcomes.
• Identify opportunities for upselling and cross-selling data products or services.
• Collaborate with Product, Data Science, and Engineering teams to advocate for customer needs and influence roadmap priorities.

Customer Success Manager – Intelligence

Machine Learning Engineer

• Design, build, test, and maintain custom applications for internal business partners
• Collaborate across cross-functional teams including product, design, and engineering
• Write secure, scalable, testable, and fault-tolerant code
• Contribute to all stages of the software development lifecycle
• Operate within a regulated environment, ensuring SOX compliance
• Continuously improve processes and system performance
• Review and recommend improvements to code and architectural decisions

Security Analyst

• Analyze application architectures to identify security risks and potential attack paths
• Perform secure code reviews and vulnerability assessments, recommending effective remediation
• Integrate security tools and automated checks into CI/CD and DevOps pipelines
• Use static and dynamic scanning tools to identify, prioritize, and track security findings
• Partner with developers and operations teams to embed security throughout the SDLC
• Document and report application security issues, including remediation guidance and validation
• Support new application and technology launches to prevent misconfigurations and data exposure
• Collaborate with red teams, threat intelligence, and risk teams to reduce overall attack surface
• Communicate security risks clearly to both technical and non-technical audiences
• Support internal and external audits focused on compliance and risk reduction
• Help define metrics and KPIs that demonstrate the effectiveness of the application security program
• Participate in change management discussions and continuous improvement initiatives

Staff Product Manager

Senior Data Analyst

Customer Success Manager – Intelligence

Machine Learning Engineer

Senior Application Security Analyst