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Lead QA activities for Salesforce projects: define test strategy, manage QA engineers, design and execute test cases (functional, integration, system, UAT, regression), manage test environments and data, triage defects, monitor production, coordinate with stakeholders, and report QA progress to management.

Design and own end-to-end Databricks Lakehouse and AI/BI solutions across cloud platforms. Provide architecture, presales support, POCs, integration, estimations, mentorship, and technical leadership for multi-team deliveries, including batch and streaming data pipelines and GenAI integrations.

Design, develop, and deploy production-grade Agentic AI and multi-agent systems on AWS (Bedrock, AgentCore, SageMaker). Build RAG/vector search solutions, implement MLOps/CI-CD, ensure security, governance, and observability, integrate agents with enterprise systems, optimize performance and cost, and provide technical leadership and mentoring across teams.

Lead design and delivery of end-to-end healthcare data platforms using Snowflake, dbt, and Azure services. Model EHR/claims/lab data, build and optimize pipelines (Python/SQL), ensure regulatory/privacy/security compliance, apply data quality frameworks, run stakeholder workshops, and leverage AI tools to accelerate development and governance.

Define and lead ServiceNow architecture and target-state roadmaps, ensure best-practice scalable implementations, design integrations and CMDB/CSDM strategies, provide technical leadership across delivery, support AI-enabled ServiceNow capabilities, and collaborate with stakeholders to ensure platform sustainability and governance.

Lead delivery of Salesforce Sales and Service Cloud solutions from discovery through deployment. Translate client needs into requirements, build declarative solutions, lead workshops/training, manage client relationships, and ensure projects meet acceptance criteria while mentoring junior consultants.

Lead incident management and site reliability initiatives, implement SRE practices and SLAs/SLOs, deploy AIOps-driven detection and self-healing automation, drive observability using Dynatrace, and enhance ITSM processes via ServiceNow while partnering across NOC, Cloud, DevOps, and application teams.

The Director of Organizational Change Management leads enterprise change initiatives, develops strategies to ensure adoption, and partners with executives to drive transformation.

Lead incident management, operational resilience, and AIOps-driven automation across enterprise environments. Drive SRE practices, observability (Dynatrace), ServiceNow workflow automation, root-cause analysis, SLAs/SLOs, and build AI-powered self-healing workflows to reduce MTTD/MTTR and improve reliability.

Lead AIOps and Site Reliability-focused engineer responsible for incident management, operational resilience, observability, and intelligent automation. Partner with NOC, Cloud, DevOps, and application teams to implement AIOps, reduce MTTD/MTTR, build AI-driven operational agents, and drive ServiceNow and Dynatrace-based monitoring and automation. Mentor teams and define SLAs, SLOs, and reliability strategies.