Portfolio Analytics & Strategy Senior Manager (Kennesaw)
Harnham, Kennesaw, Georgia, United States, 30156
The Senior Manager, Portfolio Analytics & Strategy leads strategy development and advanced analytics supporting the client's Operations and Portfolio Management functions. You will manage a team of Analysts and partner with leaders across Servicing, Legal, Risk, Finance, and Technology to optimize Servicing, pre- and post-charge-off strategy, digital communications, customer treatment models, productivity and loss improvements. This role sits at the intersection of business strategy, customer experience innovation and data science.
You will spend your time
Leading analytics initiatives across operations to monitor portfolio performance, monitor strategies and recommend process and reporting improvements
Guiding the formulation of contact and servicing strategies, portfolio segmentation, and channel optimization to evaluate algorithm performance and identify opportunities for continuous improvement.
Managing and mentoring a high-performing analytics team, providing coaching, feedback, and long-term career development
Designing and executing champion/challenger strategies and data-driven campaigns to improve customer experience and loss outcomes
Partnering with cross-functional teams (Operations, Finance, Technology, Legal, Compliance, Product) to develop and implement portfolio and treatment strategies
Guiding analyst through design, development and deployment of machine learning models across customer treatment, valuation, loss mitigation, and AI-powered decisioning with a hands-on approach
Exploring and implementing opportunities using Generative AI and Large Language Models (LLMs) to modernize operations in partnership with Technology.
Communicating clear, actionable recommendations through dashboards, presentations, and storytelling to senior stakeholders
What you will need to succeed This role is ideal for an innovative analytics leader ready to shape strategy, apply machine learning techniques, and make a visible impact in Servicing. The ideal candidate combines strong technical skills in data analytics, modeling and AI with vast experience in portfolio performance. They are proven team leaders who can recruit, mentor, and develop talent, and they excel at turning insights into decisions that influence senior leadership. Success in this role requires comfort with fast-paced, ambiguous environments, very strong business acumen in collections and servicing, and expertise in data infrastructure, automation, and performance measurement. They should also be skilled in building complex models, explaining business metrics, and teaching others to do the same.
To be eligible Bachelor’s degree in a quantitative or business field required; advanced degree (MS, MBA, etc.) strongly preferred 5+ years in analytics or strategy, including 2+ years leading teams. Experience creating and maintaining data science algorithms in business environments and designing and analyzing statistical tests. Deep working knowledge of Python, SQL, and cloud-based platforms (e.g., Azure); GitHub experience a plus Strong results focus, project management, & teamwork Ability to explain complex concepts and communicate business insights to the team, other managers, with similar and different business backgrounds, and Senior Executives alike.
What you will need to succeed This role is ideal for an innovative analytics leader ready to shape strategy, apply machine learning techniques, and make a visible impact in Servicing. The ideal candidate combines strong technical skills in data analytics, modeling and AI with vast experience in portfolio performance. They are proven team leaders who can recruit, mentor, and develop talent, and they excel at turning insights into decisions that influence senior leadership. Success in this role requires comfort with fast-paced, ambiguous environments, very strong business acumen in collections and servicing, and expertise in data infrastructure, automation, and performance measurement. They should also be skilled in building complex models, explaining business metrics, and teaching others to do the same.
To be eligible Bachelor’s degree in a quantitative or business field required; advanced degree (MS, MBA, etc.) strongly preferred 5+ years in analytics or strategy, including 2+ years leading teams. Experience creating and maintaining data science algorithms in business environments and designing and analyzing statistical tests. Deep working knowledge of Python, SQL, and cloud-based platforms (e.g., Azure); GitHub experience a plus Strong results focus, project management, & teamwork Ability to explain complex concepts and communicate business insights to the team, other managers, with similar and different business backgrounds, and Senior Executives alike.