Posted:1 week ago|
Platform:
On-site
Full Time
We are seeking a highly seasoned and strategic HR Applications Integration Lead to serve as a technical lead within our Human Resources Technology team. This role is pivotal in ensuring the reliable, secure, and high-performance integration of our core HR applications (e.g., HCM, Payroll, Talent Management) across our entire enterprise ecosystem including emerging AI/ML platforms. The ideal candidate will be responsible for designing, developing, implementing, and maintaining robust and scalable integrations between various enterprise applications (both cloud-based and on-premise). This role requires deep understanding of architectural insight, expert hands-on development skills, and a proven history of successfully delivering complex, mission-critical integration projects spanning multiple years
o Lead the development and maintenance of the enterprise-wide integration architecture specifically for the HR applications portfolio. This includes setting standards for API design, data governance, security, and scalability.
o Serve as the lead developer on high-priority integration projects, building robust and scalable solutions using advanced features of our chosen integration platform (e.g., custom policies, complex transformations, error handling frameworks).
o Lead the design, governance, and documentation of complex, end-to-end integration architecture for critical HR systems, ensuring alignment with overall enterprise architectural standards and HR business strategy.
o Design and implement the necessary APIs to enable HR applications(e.g., the HCM system) to securely consume outputs from AI/ML services (e.g., predictive scores, sentiment analysis) to drive automated business processes and insights.
o Drive the selection, evaluation, and implementation of
new integration technologies, platforms (iPaaS/EAI), and best practices tailored to the HR data domain.
o Establish and enforce standards for API management, security, monitoring, and performance across all HR integrations.
o Architect and implement high-performance, secure data pipelines to facilitate the accurate and timely exchange of HR data (e.g., performance metrics, recruitment data) for internal or third-party AI/ML models. This includes data required for predictive analytics, workforce planning, talent insights and Generative AI applications.
o Design and implement sophisticated ETL/ELT processes for high-volume HR data synchronization and migration between cloud (SaaS)and on-premise applications.
o Oversee the complete DevOps lifecycle for integrations, including CI/CD pipeline definition, automated testing, and deployment strategies.
o Act as the Subject Matter Expert (SME), providing deep technical guidance and mentorship to junior developers and cross-functional teams (HR, IT, Security).o Lead code reviews and ensure all solutions adhere to established architectural patterns, security policies, and performance bench marks.
o Act as the highest escalation point for complex, production-critical integration incidents, performing root cause analysis and implementing long-term preventative measures.
o Continuously monitor and optimize existing integration flows to improve throughput, reduce latency, and ensure maximum uptime for HR service delivery.
o Ensure all AI data exchange adheres to strict data governance, privacy (PII), and ethical guidelines.
o Understanding of API strategies for consuming Generative AI(GenAI) or other ML service endpoints.
o Expert-level proficiency and architectural certification with a leading enterprise integration platform (e.g., MuleSoft, Dell Boomi, Azure Integration Services, or AWS Integration Services).
o Deep, proven experience integrating major HCM platforms (e.g., Workday, SAP SuccessFactors, Oracle HCM Cloud) using their proprietary integration tools and API frameworks.
o Mastery of RESTful and SOAP API design, security protocols($Oauth2$, $JWT$), and performance testing/tuning.
o Proven experience architecting and building data integration solutions designed to feed data warehouses, data lakes, or analytical/machine learning pipelines.
o Understanding of the data formats, volume constraints, and latency requirements for AI/ML model training and inferencing.
To be considered for this crucial leadership role, candidates must demonstrate unwavering expertise in the following areas:
1. HCM Integration Mastery (8+ Years): Demonstrated deep, hands-on experience (architecting and developing) integrating a major Tier 1Human Capital Management (HCM) system, such as Workday, SAP SuccessFactors, or Oracle HCM Cloud.
2. iPaaS/EAI Expert Certification: Proven Expert-level certification and practical mastery of a leading integration platform (e.g., MuleSoft Certified Architect/Developer, Dell Boomi Professional Developer).
3. API Strategy and Security: Complete mastery of RESTful API
design principles, API Gateway management, and implementing advanced security protocols ($OAuth2$, $SAML$, $JWT$) for PII protection.
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