Additionalinformation

Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits/Perks:

• Great compensation package and bonus plan.
• Core benefits including medical, dental, vision, and matching 401K.
• Flexible work environment, ability to work remote, hybrid or in-office.
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.
• Explore all our exciting benefits here: https://myexperianbenefits.com/.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address.

Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

#LI-Remote

This is a remote position.

Companydescription

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Jobdescription

Job Description

The Director of Analytics is the product leader for Experian Health's datamart, analytical tooling, AI-ready data governance, and data commercialization. You will build and lead a team that gives internal product, engineering, and business teams, as well as external customers, the data, tools, and infrastructure they need to get insights quickly. You will also shape how Experian Health turns its data and insights into products.

You will report to the Chief Product Officer.

You'll have the opportunity to:

• Define and own the strategy and roadmap for Experian Health's datamart, analytical tooling, and data infrastructure.
• Set the strategy for self-serve analytical tooling so internal teams and customers can generate insights on their own.
• Own data governance standards, including data quality monitoring, lineage, and definitions, to keep data accurate and ready for AI/ML use.
• Partner with Engineering, Data, and Compliance to meet regulatory, security, and privacy requirements (such as HIPAA) as the datamart scales.
• Identify where AI and automation can speed up insight generation, data quality monitoring, and governance.
• Build, develop, and lead a team across analytics, data platform, and tooling, setting clear priorities and OKRs.
• Partner with product leaders (Billing Office, Clearinghouse, Eligibility & Coverage, Patient Financial Experience, Innovations), Sales, and Client Success, and present strategy and progress to the Chief Product Officer and senior leadership.
• Build the business case for data commercialization, turning Experian Health data and insights into products customers will pay for.

Qualifications

• 8+ years of experience in data platform, analytics, or data product leadership, including 3+ years managing a team.
• Experience building or scaling an enterprise datamart, data platform, or analytical tooling function.
• Experience with data governance, including data quality, lineage, and definition standards, and preparing data for AI/ML use.
• Experience building or supporting data commercialization or data-as-a-product initiatives.
• Experience with data infrastructure, pipelines, and BI/analytical tooling, partnering with engineering on architecture decisions, and applying AI/ML to data platform or analytics problems.
• Experience in healthcare, healthcare IT, or another regulated industry with data privacy requirements preferred; knowledge of Epic, Meditech, or Oracle EHR data infrastructure is a plus.
• Bachelor's degree in a quantitative or technical field (computer science, data engineering, statistics, or related).