Workday Tech Lead: Integrations & Analytics

srsdistribution; McKinney (TX); Hybrid; USD 120,000 - 150,000; Full time

Job summary

SRS Heritage Group seeks a Workday Technical Analyst to design, maintain, and optimize Workday integrations and Prism Analytics data pipelines. The role ensures secure data movement between Workday and internal systems, delivering reliable analytics for enterprise reporting and decision‑making.

The candidate must have hands-on Workday experience (or PRO Certification) across integrations, Prism Analytics, and related tools, plus strong data governance understanding.

Qualifications

• Bachelor's degree or equivalent experience in a related field.
• Hands-on Workday experience or PRO Certification (or equivalent) spanning Workday Integrations, Prism Analytics, Studio, EIBs/Core Connectors.
• Strong understanding of data structures, transformations, and integration patterns.
• Excellent written and verbal communication with non-technical stakeholders.

Responsibilities

• Design, develop, support, and maintain Workday integrations (inbound, outbound, point-to-point).
• Monitor performance, troubleshoot, and ensure data accuracy and reliability.
• Partner with internal teams and vendors for integrations and support.
• Manage scheduling, encryption, authentication, and security for integrations.

Skills

Analytical skills

Curiosity

AI-enabled tooling

Communication skills

Security concepts

Education

Bachelor's degree in Information Systems, Computer Science, Data Analytics, or related field

Tools

Workday Studio

Workday Prism Analytics

Workday EIBs

Core Connectors

APIs

Job description

SRS Heritage Group seeks a Workday Technical Analyst to design, maintain, and optimize Workday integrations and Prism Analytics data pipelines. The role ensures secure data movement between Workday and internal systems, delivering reliable analytics for enterprise reporting and decision‑making.

The candidate must have hands-on Workday experience (or PRO Certification) across integrations, Prism Analytics, and related tools, plus strong data governance understanding.