Leads end-to-end technology delivery for fraud-related projects and initiatives. Coordinates internal teams, vendors, and service providers; manages risks, issues, requirements, system impacts, and application enhancements. Partners with product owners, business analysts, systems analysts, engineering teams, and management to align integrations, support requirements, business objectives, customer experience, and technical strategy. Analyzes complex application problems and recommends practical solutions.
Responsibilities: • Delivery Lead to provide end-to-end technology oversight and delivery for Client projects and initiatives. • Collaborating with internal teams, service providers, and vendors including planning, execution, and successful delivery for Fraud Book Of work • Identify, assess, track, and mitigate issues and risks at multiple levels by establishing success metrics • Guide stakeholders and engineering teams in making informed trade-off decisions, considering business objectives, technical platform strategy, customer experience, and maintainability. • Partner with multiple technology teams to ensure appropriate integration of functions to meet goals; identify and define necessary system enhancements; analyze existing system logic, identify problems; and recommend and implements solutions. • Provides expertise in area and an advanced level of understanding of the principles of application support. • Aptitude for analyzing complex problems, developing practical solutions, and making timely decisions. • Skilled in identifying, assessing, and mitigating potential project risks to minimize their impact Description • Formulates and defines systems scope and objectives for complex, high impact application enhancements and problem resolution through in-depth analysis and evaluation of complex business processes, systems and industry standards; documents requirements. • Partners with multiple technology areas and management teams to ensure appropriate integration of functions to meet goals. • Works closely with Product Owners, Business Analysts and Systems Analysts to determine and document Systems impacts and support requirements
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Information Technology • Consulting
Leads end-to-end technology delivery for fraud-related client projects and initiatives. Coordinates internal teams, service providers, vendors, stakeholders, and engineering groups; manages risks, issues, metrics, integrations, and system enhancements. Guides technical trade-off decisions while balancing business objectives, platform strategy, customer experience, and maintainability. Analyzes complex application-support problems, recommends solutions, and provides technical oversight across the fraud book of work.
Information Technology • Consulting
Leads end-to-end technology delivery for fraud-related client projects and initiatives. Coordinates internal teams, vendors, product owners, analysts, and engineering groups; manages requirements, risks, issues, integrations, system enhancements, and support impacts. Evaluates complex business processes and application logic, recommends solutions, establishes success metrics, and guides stakeholders through technical and business trade-offs.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
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- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
