State Government IT Staffing Solutions

CHALLENGE

A state government agency required IT staff augmentation to support multiple high-priority initiatives while improving hiring efficiency and cost control. Although the state had an existing contractor workforce, they needed access to a stronger, more targeted pool of consultants to raise performance standards, reduce time-to-fill, and optimize resource utilization.

Key initiatives included a large-scale cloud migration, COVID-19 vaccine rollout support, a blockchain pilot, and the deployment of an entitlement benefits program for state residents.

APPROACH

Talent Groups partnered closely with the state’s newly implemented Managed Services Provider (MSP) to align staffing efforts with evolving project and resource needs. Working directly with the MSP Program Lead and participating in manager intake calls, our team gained a deep understanding of technical requirements, team dynamics, and success criteria.

Leveraging our knowledge of the local talent market and the state’s internal hiring practices, we refined recruiting strategies to identify previously untapped, highly qualified consultants. Our proven vetting process and delivery methodology ensured only well-matched, high-performing candidates were submitted.

To accelerate results, we applied analytics-driven staffing processes, including:

• Targeted candidate identification to reduce time-to-fill and improve retention

• Streamlined submissions and right-to-represent workflows

• Coordinated interview scheduling and facilitation

• Structured offer negotiation to ensure timely placements
  

IMPACT

Over the past three years, Talent Groups scaled its footprint by 100% year over year, becoming a key staffing partner across multiple state agencies. Today, 20% of the state’s IT consultant workforce is supported by Talent Groups.

The state’s IT leadership and MSP partner consistently recognize Talent Groups for delivering high-quality talent, rapid turnaround, and measurable improvements in staffing efficiency and performance.