As part of our strategic growth in the data product space we seek a Expert Product Manager with expertise in data products and predictive analytics to increase product improvement and delivery tailored to the lending industry. As the Expert Product Manager for Data Products and Predictive Analytics you will manage a portfolio of advanced data-driven solutions designed to empower lenders to increase credit risk improve underwriting processes and enhance customer acquisition and retention. You will work with teams including data scientists engineers and business leaders to ensure that our products meet the evolving needs of our clients while also driving business growth. You will be reporting to the Sr. Director Analytics Product Management.
- Product Strategy: Develop a clear product vision and roadmap with a focus on data products and predictive analytics solutions tailored to lenders ensuring alignment with broader business and market trends.
- Client-Centric Product Development: Leverage deep industry expertise and client feedback to drive the development of products that address the specific needs of financial institutions in credit risk management underwriting and portfolio management.
- Collaboration and Leadership: Work closely with engineering data science and marketing teams to ensure timely delivery of new product enhancements. Lead product teams through the entire product lifecycle from brainstorming to launch.
- Analytics and Data Insights: Use advanced analytics to identify opportunities for product improvement and use predictive models to enhance the decision-making process for lenders. Ensure applicable insights and performance metrics drive products.
- Market Research & Competitive Analysis: Stay current on industry trends emerging technologies and competitor products. Conduct thorough market and competitive analysis to position Experians products as market leaders in the data and predictive analytics space.
- Partner Management: Engage with team members (sales marketing and customer success teams) and external stakeholders (clients partners) to gather feedback set expectations and provide value-driven solutions.
- Risk Management & Compliance: Ensure that all products adhere to relevant regulatory requirements and best practices in data privacy and security
Qualifications :
- Bachelors degree in Business Computer Science Engineering or related field (Masters preferred).
- 7 years of experience in product management with a focus on data products predictive analytics or machine learning particularly within the lending or financial services industry.
- Experience managing complex data-driven products from concept to execution.
- Experience with the lending industry including risk assessment credit scoring models and underwriting processes.
- Experience working with data science teams to leverage predictive modeling machine learning algorithms and other advanced analytics techniques.
Benefits:
- Great compensation package and bonus plan
- Core benefits include full medical dental vision and matching 401K
- Flexible work environment ability to work fully remote hybrid or in-office #Li-remote
- Flexible time off including volunteer time off vacation sick and 12-paid holidays
Additional Information :
Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
This is a remote position.
#LI-Remote
Remote Work :
Yes
Employment Type :
Full-time