IQVIA

Data Engineer

• Lead the development and optimization of data infrastructure supporting Agentic AI initiatives.
• Collaborate with ML engineers, AI scientists, and product managers to architect, implement, and maintain robust data pipelines.
• Design, develop, and maintain scalable data pipelines and ETL processes supporting AI research and development.
• Monitor and troubleshoot data pipeline issues to ensure continuity and reliability.
• Drive data platform reliability, scalability, and cost optimization across cloud-based infrastructure.

Senior AI Data Engineer

Business Development Rep

• Identify and prioritise global and regional market opportunities
• Develop and execute multi-geography go to market strategies
• Translate global strategy into account-level growth plans
• Build and expand senior-level global client relationships
• Act as a trusted strategic advisor across the commercial lifecycle
• Lead executive-level discussions and negotiations
• Lead complex, multi-country proposal development
• Coordinate cross-functional teams
• Own opportunities from qualification through contract handover

Director, Global Business Development – Commercial Engagement Solutions

Research Analyst

• Conduct site evaluations, initiations, monitoring & close-outs
• Ensure GCP compliance and data integrity
• Collaborate with investigators and internal teams
• Review protocols, study manuals, and eCRFs
• Support site staff with training and issue resolution
• Track investigational product inventory and documentation
• Attend investigator meetings and study-related events
• Contribute to audit readiness and inspection support

Freelance Clinical Research Associate

Designer

• Take ownership of exhibition and room environment design projects from initial concept to final execution.
• Meet with clients to understand the purpose, theme, and intended audience of the exhibition.
• Develop compelling scaled floor plans/elevations, mood boards, and detailed 3D models of exhibition spaces.
• Produce detailed engineering drawings and specifications of all exhibition display components.
• Create detailed mockups, 3D renderings, and presentations for client approval.
• Ensure the exhibition design complies with venue and health and safety regulations.

Exhibition Designer, Experience Essential

Customer Success Manager

• Ensures fulfilment of contract specifications and ad-hoc client requests to build client satisfaction, under supervision.
• Assists team members to build, establish, and maintain effective business relationships with clients, and proactively supports their needs as their day-to-day contact, possibly focused on a specific product or service.
• Ensures that the product deliverable meets the customer's specifications, including timeliness and quality through review and verification.
• Maintains effective internal communications with sales and other key account owners to keep all apprised of activities with the client.
• Deliver targeted reports as required.
• Monitors performance against existing service agreements and ensures client’s obligations are met.
• Carries out client research to ensure an in-depth understanding of the client, specific business line, and/or therapeutic market.
• Conducts product/services and process training for clients and other employees.
• Potentially conduct service meetings at client sites.
• Represents IQVIA on external client projects.
• Identifies and escalates potential risks or issues to the appropriate internal teams to ensure timely resolution.
• Provide feedback to product development teams based on client interactions to help improve future product offerings.

Customer Success Specialist – SaaS

Engineering Manager

• Own end‑to‑end delivery execution for Agentic AI solutions from Proof of Concept through Production
• Translate product scope and architectural direction into clear delivery plans, sprint cadence, and execution milestones
• Drive day‑to‑day engineering delivery, including dependency management
• Ensure delivery readiness across environments, CI/CD, quality gates, validation, and release governance
• Coordinate and orchestrate internal teams and vendors to deliver as a single, integrated delivery unit
• Partner closely with Product, Architecture, QA, Validation, and Program Management
• Provide transparent delivery reporting, proactively surface risks
• Support release and rollout execution
• Lead and mentor a multidisciplinary engineering team
• Act as delivery owner for vendor-contributed work
• Ensure vendor outputs meet IQVIA standards.

AI Engineering Manager – Delivery Lead

AI Engineer

• Lead hands‑on technical execution for Agentic AI capabilities across PoC, MVP, and Production, ensuring delivery and production‑grade quality.
• Translate architecture and product intent into a clear build plan (components, sequencing, integration approach, technical risks), and drive implementation through the team.
• Define and enforce engineering practices: coding standards, PR/review quality bar, branching strategy, and “done” criteria for agentic workflows (including testability and operational readiness).
• Implement and guide development of key agentic components such as orchestration logic, tool/API integrations, retrieval patterns, guardrails, and human‑in‑the‑loop flows, ensuring they are reliable and maintainable.
• Own technical unblock and troubleshooting: resolve complex defects, integration issues, performance bottlenecks, and environment/build pipeline problems.
• Drive release readiness from a technical standpoint: dependency readiness, versioning, deployment checks, rollback considerations, and operational handover inputs.
• Ensure vendor‑delivered technical work is aligned to standards through review, integration oversight, and quality controls.
• Collaborate with QA/Validation to ensure the solution is testable and traceable, with appropriate evidence generation through the SDLC (unit/integration/system testing hooks, logs, artifacts).
• Partner with the Solutions Architect to ensure adherence to enterprise patterns, security/privacy expectations, and architectural constraints, escalating gaps early and proposing practical implementation options.
• Post‑release, drive reliability and performance tuning, manage technical debt, and improve observability to support ongoing stability of agentic behaviors in production.

Senior AI Tech Lead

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting AI research, prototyping, and production use cases.
• Collaborate with AI scientists and engineers to translate data requirements into ingestion, transformation, and serving solutions.
• Apply data governance and security controls ensuring compliance, auditability, and protection of sensitive information.
• Monitor, troubleshoot, and resolve data pipeline failures, performance issues, and schema changes.
• Continuously improve reliability through testing, observability, documentation, and automation.
• Design and maintain efficient data models supporting analytics, ML workflows, and AI agent operations.