Job summary
Job post source
This job is directly from Experian
Job overview
The Senior Product Manager (Consumer Lending) at Experian leads the development and delivery of advanced data products and predictive analytics tailored to the lending industry, driving business growth and client success.
Responsibilities and impact
The role involves developing product strategy and roadmaps, collaborating with data scientists and engineers, leveraging analytics for product improvement, conducting market research, managing partnerships, and ensuring compliance with regulatory requirements.
Compensation and benefits
The position offers a salary range of $89,865 to $155,767, a bonus plan, full medical, dental, vision coverage, matching 401K, flexible work environment including remote options, and flexible time off including volunteer time.
Experience and skills
Candidates should have a bachelor's degree (master's preferred), 7+ years in product management focused on data products and predictive analytics in lending or financial services, experience managing complex data-driven products, and familiarity with credit risk, underwriting, and predictive modeling.
Career development
Experian emphasizes professional growth through a people-first culture that values development, collaboration, and innovation, supported by awards recognizing it as a great workplace globally.
Work environment and culture
Experian promotes a diverse, inclusive, and supportive work environment with a focus on work/life balance, authenticity, wellness, and recognition, celebrating individuality and fostering innovation.
Company information
Experian is a global data and technology company with 22,500 employees across 32 countries, specializing in data analytics for various industries including financial services, healthcare, and automotive, and is listed on the London Stock Exchange.
Team overview
The candidate will work with cross-functional teams including data scientists, engineers, marketing, sales, and customer success, reporting to the Sr. Director of Analytics Product Management.
Job location and travel
This is a remote position with flexible options for hybrid or in-office work.
Unique job features
The role uniquely combines expertise in data products, predictive analytics, and lending industry knowledge to innovate credit risk and underwriting solutions, supported by a flexible work environment and a strong emphasis on diversity and inclusion.
Company overview
Experian is a global information services company specializing in credit reporting and data analytics. They generate revenue by providing credit reports, scores, and related services to consumers, businesses, and organizations, helping them make informed financial decisions. Founded in 1996, Experian has grown through strategic acquisitions and technological advancements, establishing itself as a leader in the industry. They operate in multiple regions, including North America, Latin America, the UK, and EMEA, and are known for their commitment to data security and innovation.
How to land this job
Tailor your resume to highlight your expertise in product management specifically with data products and predictive analytics within the lending or financial services industry, emphasizing your ability to manage complex data-driven products from concept to execution.
Focus on showcasing your experience collaborating with cross-functional teams such as data scientists, engineers, and business leaders, as well as your knowledge of credit risk, underwriting processes, and credit scoring models relevant to the lending sector.
Apply through multiple channels including Experian's corporate careers site and LinkedIn to maximize your application visibility and ensure your resume reaches the right recruiters.
Connect with current Experian employees in the Analytics Product Management division on LinkedIn, using ice breakers like commenting on recent product launches, asking about their experience working on predictive analytics solutions, or expressing enthusiasm for Experian's innovative data-driven lending products.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data products,' 'predictive analytics,' 'credit risk management,' 'underwriting,' 'machine learning,' and 'lending industry' to increase the chances of passing automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored resume submissions across multiple platforms and identify relevant LinkedIn contacts for networking, allowing you to focus your time and energy on preparing for interviews and deepening your industry knowledge.
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