• Lead the DES model generation from concept modelling to fully detailed mimic of the program / system that meet the design scope, operating principals, performance metrics, safety, quality, delivery, cost, people and environment objectives. • Lead the system optimization, cost avoidance, best practices capturing and sharing this with relevant Stakeholders. • Able to work effectively with design teams to develop and optimize solutions considering multi-attributes within defined deadlines and time constraints. • Guide the process using a product knowledge and awareness of potential design constraints to ensure due consideration is given in developing solutions. • Co-ordinate and lead projects and teams feedback of results as required through design / project reviews / DES Dashboards. • Lead optimization of the DES model against different model derivative mixes and operational parameters. • Lead the bottleneck analysis of the system and develop strategies to remove and lead volume throughput increase studies and system what ifs. • Guide the process to adhere to the vehicle derivative sequencing and build to sequence rules. • Support the continual development of tools and techniques which enhance capability, improve quality and robustness of DES models.

• Perform Engineering Part Analysis (EPAs) • Execute Transition Design Reviews (TDRs) • Identify export requirements • Review engineering drawings for content, notes, accuracy, legibility and other noteworthy findings • Evaluate level of difficulty to transition suppliers and identify roadblocks • Investigate and implement source control parts for compliant alternatives • Follow drawings update and approvals in PLM tool • Manage and Report on Project Schedules, Budget, and Priority • Coordinate with project stakeholders to ensure all data is captured and ready to present to chief engineering staff • Ensure that EPA and TDR milestones are met • Seek advice from subject matter experts when required • Report project status during regular internal and external meetings. Typical reports would include updates on project status, assumptions, information needed, and overall program health

• Serve as the primary on-site (or virtually embedded) technical resource for 1–2 health system clients, building trusted relationships with their Epic analysts, interface teams, and clinical informatics staff • Lead Epic workflow discovery sessions: map current state clinical workflows, identify where AI outputs need to surface (In Basket, CDS card, AVS note, workflow step, report), and document the integration approach • Design the end-to-end integration spec for each use case—covering Epic Bridges interface configuration, FHIR R4 endpoints, CDS Hooks trigger logic, SMART on FHIR app placement, or SendMessage / MDM T02 delivery paths • Coordinate with client Epic teams to drive interface build on the client side; serve as the authoritative technical voice on what needs to happen and why • Own end-to-end testing and validation: from QH platform output through Epic interface to the point of care, catching issues before they reach the clinician • Translate field learnings—edge cases, clinical feedback, configuration gaps—into structured platform requirements for QH’s data engineering and product teams • Support change management at client sites: help clinical champions understand and adopt new AI-enabled workflows

• Serve as a technical implementation specialist and forward-deployed consultant for healthcare data integration • Design and build ETL pipelines using PySpark, SQL, and Azure data services • Develop data quality validation frameworks • Troubleshoot technical issues independently • Build reusable data components and optimize pipeline performance