What We'll BringAt TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation. We’re consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.
Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.
What You'll BringAdvanced knowledge of the product management lifecycle management and go to market processes for APIs
Deep understanding of APIs, especially as they relate to the data science community
Minimum of 7 years’ experience from one of the following areas preferred: risk management, B2B data science technology services, financial services, and/or other similar fields
Understanding of how data science and risk analytics teams have implemented data science software, platforms, and APIs in the risk analytics space
Undergraduate degree in finance, accounting, mathematics, engineering or one of the hard sciences. MA/MS/MBA or equivalent experience is a plus.
Deep knowledge and experience in product strategy and management, preferably in financial services, risk analytics, or data science technology
Strong leadership skills; ability to take initiative and ownership and effectively leverage resources to successful outcomes without constant direction
Strong problem solving skills; ability to break down complex problems into critical parts, identify the key causes and effectively prioritize and execute way forward
Proven ability to quickly grasp industry and business-wide concepts in order to assess implications to drive actions and to capitalize on opportunities
Strong critical thinking skills, ability to assimilate and understand new concepts in short time frames
Exceptional analytical skills; ability to logically and systematically visualize and efficiently tackle tasks
Superior communication skills (verbal and written)
Outstanding interpersonal skills and ability to work across functions and levels of seniority
Highly organized, excellent project management abilities
Advanced fluency in Excel, PowerPoint and Word
Comfort operating in and delivering high-profile results in ambiguous environments
Impact You'll MakeThe Product Manager – Analytics API Solutions will work closely with the VP of Analytics Solutions & Enabling Technology to provide leadership in defining, developing, launching, and managing well designed APIs with intuitive documentation and tools to support a unified experience for our data science and developer community. You will leverage your domain expertise in analytics and APIs to drive the business forward with responsibility for all analytics API solutions globally with a focus on our Prama suite of solutions.
Your role will evolve as we form the group and initially, you will:
Work closely with the VP of Analytics Solutions & Enabling Technology to develop the vision and roadmap for the analytics API suite of solutions
Collaborate with the data science & developer community to understand how to best drive excellent user experiences
Develop and continusouly refine target customer segmentation, user persona’s, and use cases for our API technologies
Be accountable for the longer-term P&L performance and strategy for your product portfolio
Develop strategic insights based on market assessments grounded in primary and secondary research
Spend time with clients capturing VOC and applying design thinking principles to understand their problems and needs
Collaborate with Sales, Markets, Regions, Data Science, Global Technology, Marketing, and the broader Global Solutions Team to create and maintain business plans with clear and measurable targets while ensuring cohesive product offerings
Partner with international product leads to seek out unique points of view to deliver solutions that reflect the needs of our global data science community
Develop and deliver senior level presentations to articulate business plans
Review and approve product backlogs
Assist in designing and establishing a process for continuous improvement of our analytics suite of solutions, leveraging a data-driven, hypothesis-test-learn approach
Gather competitive intelligence on an ongoing basis, monitor strategy and competitive response for key competitive solution sets