TransUnion is looking to lead the evolution of their OneTru Solutions Platform, a transformative enablement platform that unifies data, identity, and insights across credit risk, marketing, and fraud prevention. This platform serves as the connective tissue of the business, integrating disparate data and analytics assets into a cohesive, scalable, and intelligent ecosystem.
Requirements
- Strong technical acumen with the ability to effectively collaborate with engineering and architecture teams.
- Solid understanding of data analytics, machine learning, applied AI, and statistical modeling techniques.
- Experience with credit, marketing, and/or fraud data products, including familiarity with data privacy and other regulatory frameworks.
- Experience applying user-centric design principles to create intuitive and impactful product experiences.
- Skilled in developing MVPs and prototypes to test, validate, and iterate on product concepts quickly.
Responsibilities
- Define and drive the vision, strategy, and roadmap for the enablement of our Solutions onto the OneTru platform, aligning with business goals and long-term architectural direction.
- Partner with Engineering, Data Science, Architecture, Business Stakeholders and Go-to-Market teams to translate business needs into scalable technical solutions.
- Lead the design and delivery of new product and platform capabilities that enable rapid solution development across credit risk, marketing, and fraud prevention.
- Advocate for a customer-back approach, ensuring intuitive and seamless experiences across diverse user personas.
- Oversee platform scalability, reliability, and performance, ensuring readiness for client onboarding and ongoing operations.
- Collaborate with Data Science to integrate AI and machine learning into product and platform features, enhancing automation and intelligence.
- Engage with customers and internal stakeholders to validate product concepts, gather feedback, and support go-to-market efforts.
Other
- 10+ years in technology and analytics consulting, technical pre-sales, product management, or customer-facing data science roles.
- Demonstrated success in leading the development and launch of data-driven products from concept to market.
- Excellent communication, negotiation, and presentation skills, with the ability to influence both technical and non-technical audiences.
- Comfortable operating in a fast-paced, agile, and startup-like environment with a bias for action.
- This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
