Jobs at Valassis

Company Description
Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people.

• Design, implement, and support Azure-based infrastructure and services
• Operate and optimize Azure Virtual Desktop (AVD) environments

• Shift Hours: Monday - Thursday 6:00PM - 4:00AM
• Hourly Pay: $23+/hr DOE + $1.75/hr Shift Differential + $0.50/hr incentive eligible after 90 days

• Design, develop, and maintain SQL views, stored procedures, functions, and database objects.
• Build and support data integrations between various platforms, APIs, and enterprise data sources.

• Develop scalable data pipelines and build new integrations to support continued growth in data volume and complexity.
• Build a robust Data Lakehouse that supports Vericast's marketing solutions business and financial institution clients, including pre-sales, campaign execution, and campaign performance analysis and benchmarking.

• Own the end-to-end design, execution, and analysis of marketing and product experiments, including A/B, multivariate, geo, and holdout testing.
• Define and manage the experimentation roadmap, including hypothesis development, prioritization, power analysis, and success metrics.

• Bachelor’s degree in Business, Finance, Accounting, Marketing, Information Systems, Engineering, or a related field
• PMP, Agile, FP&A, or related certification preferred but not required

• Serve as hands-on technical lead for the design, development, deployment and support of Agentic AI applications, including multi-agent workflows and orchestration (25%)
• Hands-on technical coloration, code review, support and mentorship to AI Engineers and contractors on the team (15%)

Company Description
Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people.