Head of Data Asset Management

At TransUnion, we strive to build an environment where our associates are in the driver's seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.

Come be a part of our team – you'll work with great people, pioneering products and cutting-edge technology.

We are seeking a dynamic, experienced, and results-driven Director of Data Operations & Performance to lead a team of Analysts and collaborate across multiple internal functions in support of our long-term mission: Information for Good.

This leadership role is responsible for driving operational excellence and strategic outcomes in two key areas:

Continuous Improvement & Insight Delivery

• Enhance the quality and utility of our core asset—credit data—through ongoing database optimization.
• Empower internal teams and external clients with actionable insights that maximize data value.

Data Onboarding & Customer Support

• Oversee the onboarding of data suppliers, ensuring timely ingestion and monitoring of delivered data.
• Respond to customer inquiries and support requests with precision and efficiency.

The ideal candidate will bring a strong blend of data analysis, project management, and cross-functional collaboration skills to proactively identify and resolve risks and issues. You will serve as a central point of contact for understanding and navigating TransUnion's data ecosystem.

You will be accountable for the successful development, integration, and launch of new or enhanced applications, products, processes, and business rules. This includes close partnership with teams across Data Governance, Global Technology, Legal, Compliance, and Product Management.

• 8+ years of experience in data management, data strategy, or analytics, with at least 5 years in a senior leadership role.
• Deep understanding of data acquisition, ingestion pipelines, data quality frameworks, and governance best practices
• Must be comfortable presenting ideas and information to all levels within the organization and able to communicate your vision, and implement solutions to drive positive results for the organization
• Proven ability to build relationships and effectively interact with senior executives, product development, customers, sales personnel and matrixed support functions
• Experience in managing a team of analysts with the ability to motivate team members to meet team goals and measuring results
• Experience facilitating discussions with groups of stakeholders with varying goals and accountabilities related to core business datasets
• Strategic, conceptual thinker with proven ability to facilitate organizational and behavioral change
• Proven experience in data analytics concepts, processes, and applying industry best practices
• Proven project management skills with the ability to juggle multiple tasks with competing priorities and highly organized with attention to detail; comfortable working under deadlines and producing key deliverables
• Excellent problem-solving skills in resolving complex challenges within a dynamic matrix environment
• Ability to develop and socialize the success of operational programs and processes using metrics
• Must be a self-starter with strong planning and organizational skills, motivated by challenges, and possess a customer-focused, results-oriented attitude

• Establish and monitor data quality metrics, governance frameworks, and operational KPIs to ensure data integrity and usability.
• Partner with data science, product, and technology teams to ensure data assets are optimized for analytics and product development.
• Lead and mentor a high-performing team of data professionals across geographies, fostering a culture of accountability, collaboration, and continuous improvement.
• Responsible for the day-to-day activities including delegating projects and managing team workload, work assignments, and quality of performance by providing coaching in effort to accomplish desired end results
• Develop and execute a regional data strategy aligned with enterprise goals, business priorities, regulatory requirements, and market opportunities.
• Lead and champion our operating model using new technology and applications while delivering high quality results while taking active role in roll-out of Global Operating model
• Build and drive internal continuous improvement culture through innovation, collaboration, and lean thinking while achieving organizational buy-in
• Develop and create operations and workflow management processes and procedures while introducing metrics to measure success
• Communicate data incidents to business leaders, legal, compliance, and customers/furnishers and introduce processes to mitigate future risk
• Use problem solving skills, and knowledge of our applications and processes to introduce resolutions that limit impact to customers/consumers
• Create and formalize proactive strategies to advance data quality monitoring and improve our data quality
• Work with GT to analyze data and test results to ensure integrity is maintained throughout program lifecycle and ensure market and business needs are satisfied
• Conduct Business Acceptance Testing (BAT) in relation to major data events and/or application/platform changes to ensure no material impact to data & products which could adversely impact customers and/or consumers
• Develop and implement processes & system enhancements to establish and maintain data quality standards
• Review current operations and identify opportunities in tools, processes, and talent, to make recommendations towards increased quality and efficiency
• Educate and influence internal partners on best-practice approaches gleaned from current and previous experiences

We'd love to see:

• Experience in credit reporting, financial services or direct marketing industry
• Business process mapping and process data mining experience
• Understanding of Databases/File Structures:  DB2, PGS, Oracle, SQL, Big Data Platforms
• High level understanding of software development methods and ETL methodologies