• Lead the integration design, development, and validation of robust, scalable interfaces between SmarterDx and hospital/health system customer EHRs (Epic, Cerner, Meditech). • Serve as the technical expert on customer engagements, guiding architecture discussions with CIOs, Directors of IT, interface and network teams, CDI and Coding leaders, and implementation sponsors. • Own integrations end to end, including specification development, mapping, configuration, testing strategy, go live planning, and production stabilization. • Lead data validation and reconciliation to ensure integrity, completeness, and interoperability compliance. • Design for reliability and observability with monitoring, alerting, traceability, replay strategies, and operational runbooks. • Troubleshoot complex production issues and lead structured incident response, root cause analysis, and durable remediation. • Improve integration operations through automation: streamline repetitive implementation tasks (test harnesses, validation tooling, automated checks, deployment patterns) to increase throughput and reduce risk. • Monitor evolving interoperability standards and translate them into actionable architectural guidance for SmarterDx and our clients. • Influence product and platform strategy by advising engineering on schemas, data contracts, mapping approaches, and integration tooling based on field experience. • Blend executive presence with operational humility. You can lead a CIO-level strategy session in the morning and personally debug a malformed HL7 segment in the afternoon. No engagement is beneath you, and no client environment is too complex. You own outcomes end to end. • Support and troubleshoot high-priority production issues as part of an after-hours Tier 3 rotation.

• Automate repetitive browser tasks using Selenium • Use PowerShell and/or Python for data extraction, transformation, and automation • Leverage Ansible to automate AWS provisioning and configuration • Support database tasks (SQL queries, data reports, performance reviews • Analyze workflows to identify automation opportunities • Work closely with TAMs, developers, and service delivery teams • Document processes clearly for handover and long-term maintenance • Troubleshoot automation scripts and data processes

• Support the design and development of integration solutions connecting systems, applications, and data sources. • Work with REST and SOAP APIs, cloud services, and integration platforms such as Workato, Boomi, Celigo, or Zapier. • Assist in building scalable, reliable, and maintainable integration workflows. • Contribute to technical designs and integration documentation. • Collaborate with stakeholders to understand business requirements and translate them into technical solutions. • Help identify opportunities to improve integration tooling and operational efficiency. • Assist in troubleshooting and debugging integration-related issues. • Monitor integration performance and support proactive identification of risks or bottlenecks. • Provide technical support to internal stakeholders and contribute to smooth operational delivery. • Participate in maintaining reliable and secure integration environments. • Deliver assigned tasks on schedule and with a high standard of quality. • Work closely with ET&I teams and business stakeholders on cross-functional initiatives. • Communicate technical concepts clearly with both technical and non-technical audiences. • Contribute to clear and structured documentation for integrations, tools, and workflows. • Continuously learn new tools, technologies, and integration practices. • Participate in internal training and certification opportunities. • Research innovative solutions that improve scalability, automation, and reliability. • Contribute to a culture of collaboration, learning, and continuous improvement.

• Support conversations focused on how customers price jobs, benchmark roles, manage internal equity, and respond to market movement • Diagnose data quality issues, coverage gaps, and confidence challenges in existing compensation approaches • Advise customers on appropriate data sets and market pricing strategies based on role scope, geography, industry, and maturity • Explain compensation data methodology, sources, sample sizes, aging, cuts, and reliability with clarity and credibility • Help customers interpret market ranges, percentiles, and trends to support their ideal compensation strategy • Compare and contextualize different compensation data approaches (Payscale’s data, third party surveys, blended sources, modeled data) • Translate compensation data into narratives that resonate with HR, Finance, and executive stakeholders • Tie market insights to business outcomes such as attraction, retention, pay equity, and cost management • Help customers move from reactive pricing to more proactive, data-informed compensation decisions • Partner with Account Managers, Account Executives and our Customer facing organization to support the data side of deal strategy, technical validation, and executive discussions • Tailor conversations to customer maturity—from foundational benchmarking to advanced market strategy • Support customer evaluation processes with clear, defensible data positioning