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Support development of credit risk and business intelligence analytic solutions: build predictive models, extract and analyze large datasets, produce insights and presentations, partner with cross-functional teams, and support client engagements using statistical and big-data tools.

Lead development and delivery of analytic solutions across credit, fraud, insurance, and marketing. Manage small teams and client engagements, design and deploy ML/DL models, implement model governance and monitoring, and translate technical work into business recommendations. Contribute to research, mentor junior staff, and support proposals through production deployments using R, Python, and big-data/cloud tooling.

As a Lead Database Engineer at TransUnion, you will lead and mentor a scrum team, ensuring quality and technical health for products while actively contributing hands-on. Responsibilities include designing enhancements, shaping implementation strategies, and providing support throughout the project lifecycle.

Manage a single software engineering team (5–10), drive sprint planning and delivery, provide technical oversight and architecture guidance, collaborate with product and business stakeholders, and perform people management including reviews, mentoring, hiring, and enforcing Agile/SDLC and quality practices. Hybrid role requiring in-office presence at least two days weekly.

Manage network operations including incident troubleshooting, system upgrades, patching, configuration changes, SD‑WAN and firewall management, automation initiatives, change control, vendor escalation, mentoring, on‑call rotation, and maintaining WLAN/WIFI security and performance.

Lead design and improvement of product monitoring: triage alerts, analyze metrics and trends, investigate exceptions, build monitoring tests, create dashboards (Grafana/Power BI), perform deep-dive analyses using R/Python, and drive monitoring observability and tooling enhancements.

Support Consumer Interactive analytics by building and maintaining BI reports and dashboards, investigating operational and compliance issues using data, validating data quality, performing root-cause analyses, and presenting insights to stakeholders to drive decisions and improve reporting governance.

Drive end-to-end delivery of feature-level product modules: define user stories and acceptance criteria, prioritize backlog, collaborate with engineering and UX, participate in Agile ceremonies, track KPIs, and support lifecycle activities including release, documentation, and user adoption.

Lead API and backend web service testing: write and execute test cases, investigate defects and logs, maintain and expand automation and regression suites, enhance continuous testing and build pipeline jobs, and collaborate with engineers and product owners to ensure production quality.

Act as first responder to system alerts, triage and escalate issues, analyze monitoring metrics and trends, build and interpret observability dashboards, investigate exceptions, automate tests and alerts, perform impact and root-cause analysis, and provide ad-hoc analytical support for product incidents.