Top Tech Jobs & Startup Jobs

Manages and grows assigned client relationships through account planning, retention, pipeline development, forecasting, and revenue delivery. Serves as the primary commercial contact, identifies expansion opportunities, coordinates cross-functional resources, and guides opportunities from discovery through implementation and post-sale follow-up. Maintains sales system records, prepares client meetings and business reviews, and escalates relationship, service, pricing, and product concerns. Requires knowledge of data analytics, financial services, credit, risk, or fraud solutions.

Drive new business and revenue growth among community financial institutions across the Midwest. Responsibilities include prospecting, managing the full sales lifecycle, building C-level relationships, presenting tailored solutions, negotiating contracts, closing new business, expanding existing accounts through cross-selling, and representing TransUnion at client meetings and industry events.

Leads strategic analytics consulting engagements from problem framing through actionable recommendations. Responsibilities include scoping analytical work, managing client delivery, governance, budgets, risks, and quality; analyzing credit risk, scorecards, portfolios, segmentation, and bureau data; presenting findings to senior stakeholders; supporting commercial opportunities; and coaching analysts and consultants.

Leads technical product strategy, roadmaps, and end-to-end delivery of scalable marketing technology platforms. Partners with Engineering, Architecture, Data, Design, and business stakeholders on integrations, APIs, data flows, and platform architecture. Prioritizes initiatives, manages dependencies, establishes KPIs, and drives agile delivery. Mentors and manages Technical Product Managers while overseeing products from ideation through launch and iteration.

Provides second-line compliance oversight and regulatory guidance to credit risk and alternative data businesses. Advises on FCRA, GLBA, UDAAP, DPPA, product development risks, regulatory change, issue management, control breaks, root-cause investigations, remediation, policies, and training. Partners with legal, risk, technology, product, and business stakeholders across a matrixed organization.

Performs guided data analysis and foundational data science work, including data preparation, validation, statistical analysis, documentation, and communicating insights. The role supports scalable analytical processes and business decision-making while collaborating with Product, Engineering, and business stakeholders. Candidates should have quantitative education, at least one year of relevant experience, and foundational to intermediate knowledge of Python or R, SQL, analytics, and statistics.

Owns data science and analytics workstreams from problem definition through delivery. Builds, validates, documents, and maintains scalable analytical solutions using statistical analysis, machine learning, Python, SQL, and BigQuery. Partners with technical and business stakeholders, communicates insights through reports and dashboards, automates recurring analyses, manages delivery priorities, and mentors junior team members and interns.

Performs guided data analysis and foundational data science work, including data preparation, validation, statistical analysis, analytical process improvement, and development of actionable business insights. Collaborates with Product, Engineering, and business stakeholders, documents findings, communicates progress, and supports reliable, scalable analytical outputs. Uses Python or R and SQL, with preferred experience in visualization tools, machine learning concepts, and Jira.

Leads complex data science, machine learning, advanced analytics, and AI initiatives from problem definition through production implementation. Establishes technical standards, guides cross-functional teams, evaluates emerging technologies, communicates recommendations to diverse stakeholders, and mentors team members. Requires advanced Python, SQL, BigQuery, statistical modeling, cloud AI and data platform expertise, plus experience delivering scalable production-grade machine learning solutions.

Designs, develops, and optimizes enterprise Salesforce Revenue Cloud Quote-to-Cash solutions, including CPQ and Billing. Builds scalable architectures, Lightning Web Components, Apex code, integrations, pricing configurations, approvals, and billing workflows. Provides technical governance through architecture guidance, code reviews, and development standards while mentoring junior developers. Troubleshoots and refactors legacy systems to improve security and performance.