We are a forward-thinking financial services organization, committed to delivering innovative digital solutions. Our data-driven approach powers our digital products, and we are establishing a shared data products organization to enhance our data platform capabilities and provide actionable insights into digital behaviors and performance.

We are seeking an experienced Associate Director of Data Products to lead our shared data products organization within the digital product division. In this leadership role, you will oversee a team of data analysts and managers, driving the vision and execution of a scalable data platform and building digital data products that provide key insights into product performance and user behavior. You will collaborate closely with engineering and product teams to ensure that data products align with business objectives and contribute to the company’s overall digital strategy.

This role is Hybrid. You should be located within a commutable distance to one of our offices located in Baltimore MD, Charlotte NC, Wilmington DE, or Dallas/Fort Worth TX.

Target base salary range is $140k - $170k which is based on various factors including skills, work experience, and location. In addition to base salary, this role is eligible for a competitive additional compensation program that is based on individual and company performance

Key Responsibilities:

Lead and Manage the Team: Oversee a team of data analysts and data product managers, ensuring they are empowered to deliver on the organization’s data vision. Provide leadership, mentorship, and development opportunities.

Define and Execute Data Strategy: Set the vision and roadmap for the shared data platform, ensuring it supports the needs of the business and digital product teams. Align data product initiatives with broader digital strategies.

Collaborate with Data Engineering Teams: Partner with data engineering teams to translate business needs into technical requirements for a scalable, secure data platform. Oversee platform enhancements and ensure alignment with best practices in data management, governance, and security.

Develop Data Analytics Products: Lead the development of analytics products that provide visibility into user behaviors, product performance, and key business metrics. Drive the adoption of these products across the digital organization.

Promote Data-Driven Decision Making: Partner with cross-functional teams to identify opportunities for using data insights to enhance digital product performance, improve customer experiences, and drive business outcomes.

Implement Best Practices: Establish and maintain best practices for data governance, data quality, and compliance with financial services regulations.

Stakeholder Management: Engage with senior leaders and key stakeholders to communicate progress, address challenges, and align on strategic priorities for data initiatives.

Product Lifecycle Management: Oversee the lifecycle of data products from ideation to execution, ensuring that they meet business goals and deliver value.

Qualifications:

• 5+ years of experience in data product management, data analytics, or a similar role, with at least 3 years in a leadership or management position.

• Proven experience in building and scaling data platforms and delivering complex data products in a financial services or digital product environment.

• Expertise in digital, customer journey, and cross-channel analytics

• Expertise in modern data platforms, cloud-based technologies (Snowflake, AWS, Azure, GCP), and data tools such as data lakes, ETL pipelines, and data warehouses.

• Demonstrated ability to lead teams, with experience managing managers and mentoring data professionals.

• Strong analytical skills with experience interpreting large datasets to inform business decisions and product strategies.

• Excellent communication skills with a proven ability to influence stakeholders, including senior leadership.

• Familiarity with Agile development methodologies and working in a fast-paced product development environment.

• Knowledge of data governance, financial services regulations, and compliance best practices.

• Experience with digital analytics platforms (e.g., Heap, Google Analytics, Adobe Analytics) and visualization tools (e.g., Tableau, Power BI).

Preferred Skills:

• Master’s degree in business, data science, or a related field is a plus.

Who we Are

OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.

Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain.

Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-timers with: 

• Health and wellbeing options for team members and their dependents

• Up to 4% matching 401(k)

• Employee Stock Purchase Plan (10% share discount)

• Tuition reimbursement

• Continuing education

• Bonus eligible

• Paid time off (15 days’ vacation per year, plus 2 personal days, prorated based on start date)

• Paid holidays (7 days per year, based on start date)

• Paid volunteer time (3 days per year, prorated based on start date)

• And more

#LI-DWB

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.