Clinisys

Consultant

• Provide Professional Services Consultancy leadership for all members of the DBA Team
• Lead and mentor the DBA team, driving performance, consistency and best practice.
• Manage resource planning, utilisation and delivery against project objectives.
• Install, configure, upgrade and patch Oracle databases and related technologies.
• Design and maintain backup, recovery and disaster recovery solutions using RMAN.
• Lead database migrations, upgrades, tuning and performance optimisation activities.
• Provide technical consultancy, database sizing and infrastructure recommendations for customers.
• Support customer implementations and resolve complex database-related issues.
• Collaborate with Development teams to improve scalability, performance and reliability.
• Contribute to pre-sales activities, technical proposals and solution design.
• Deliver Oracle knowledge-sharing and training across technical teams.
• Participate in the out-of-hours on-call rota.
• Identify opportunities to apply AI and automation to improve operational efficiency and customer outcomes.
• Assess and mitigate risks associated with AI adoption, including data quality, bias and governance.
• Promote practical and value-driven use of AI across Technical Services and Solution Architecture teams.

Lead Oracle DBA Consultant

Full-stack Engineer

• Design, develop, and maintain enterprise-grade applications across multiple subsystems
• Actively leverage AI tools for code generation, analysis, debugging, and documentation
• Participate in architecture discussions and contribute to scalable system design
• Build and enhance AI-assisted workflows within development lifecycle
• Perform code reviews and guide best practices including AI-driven development
• Collaborate with cross-functional teams for requirement analysis and delivery
• Analyze defects, perform root cause analysis, and implement fixes
• Mentor junior engineers and promote AI adoption and best practices
• Contribute to CI/CD pipelines, DevOps processes, and automation

Senior Software Engineer

• Develops software solutions across multiple subsystems within our applications, including collaboration with requirements definition, prototyping, architectural design, coding, testing and deployment
• Understands how our applications operate, are structured, and how customers use them
• Researches new technology and development tools to remain informed of current trends
• Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, code comments and clearly readable code
• Analyzes defects, performs root cause analysis, and collaborates to resolve
• Complies with established internal quality systems and considers standards, best practices, and regulatory requirements as part of coding activities

Associate Software Engineer

Product Manager

• Own regional product growth outcomes for the Clinical Pathology and Blood Bank product portfolio by defining clear OKRs/KPIs (e.g. TAM, SAM, SOM), partnering with cross-functional leaders, and ensuring objectives tie directly to commercial, adoption, and customer value goals.
• Develop, communicate, and iterate the regional product vision and multi-year roadmap, ensuring alignment to market needs, regulatory requirements, and Clinisys' global strategy.
• Maintain comprehensive market intelligence by building a trusted network with key accounts, partners and influencers, analysing customer segmentation, trends, policy shifts, competitor movements, partner activity, and ecosystem changes to proactively adjust product direction.
• Drive an AI-first, data-led product operating cadence (customer insights, backlog health, roadmap reviews and release readiness), continuously improving product management processes, governance and stakeholder communication.
• Lead robust Voice of Customer programmes including interviews, workshops, site visits, and structured insight synthesis, ensuring customer value and pains directly shape product decisions.
• Lead discovery, backlog prioritisation (alongside other product managers where applicable), and solution design with Product, Engineering, and UX, ensuring clarity of requirements, alignment on trade-offs, and delivery of high-quality, clinically safe features.
• Act as a discipline/domain subject matter expert, ensuring clinical and operational requirements are accurately translated into clear product requirements and delivery decisions.
• Mentor and coach junior Product Managers and Product Analysts, elevating product craft, analytical thinking, stakeholder communication, and customer-centric decision-making across the team.
• Represent Product Management at regional leadership forums, influence strategic decisions, and ensure alignment between regional priorities and global product direction.
• Drive regional go-to-market and ecosystem success: partner with Sales and Marketing on launches, messaging, bids/tenders and win/loss improvement; own key regional delivery partnerships (e.g., system integrators) and 3rd‑party integrations to accelerate deployments and strengthen competitive position.
• Instrument and monitor product performance across usage, adoption, retention, NPS, upgrade patterns, support drivers, and commercial KPIs, driving structured improvement actions.

Senior Product Manager

Digital Marketing

• Manage, coach, and develop a team of 4–7 direct reports across Global Digital Marketing, ensuring each team member has clear priorities, measurable goals, accountability, and development plans
• Own the Global Digital Marketing Plan across regions, channels, and digital touchpoints
• Use Google Analytics, HubSpot, social, advertising, website, and CRM-connected data to assess performance across regions, campaigns, and channels
• Serve as a global owner for HubSpot, marketing automation, lead management, reporting, campaign attribution, and data governance
• Lead brand governance, copy review, and approval processes to ensure alignment with QARA requirements

Senior Manager – Global Digital Marketing

Project Manager

• Plan and deliver cross-functional continuous improvement projects from initiation through execution and closure
• Coordinate stakeholders across global teams, ensuring alignment and timely delivery of objectives
• Use AI agents to ensure consistency of clinical safety analysis and improve issue resolutions
• Track milestones, risks, dependencies, and outcomes using structured project management methods
• Use AI agents to enhance process analysis, pattern detection, and prioritization of improvement opportunities
• Facilitate workshops, working groups, and improvement sessions with key stakeholders
• Analyze performance data, audit findings, and feedback to identify improvement opportunities
• Support the integration of improvements into controlled processes, procedures, and training materials
• Partner with diverse stakeholders to ensure compliance is maintained while timelines are met

Project Manager, Quality

• As a Software Engineer and a member of a dynamic and multi-functional Agile development team, you will be responsible for crafting, developing, and unit testing product features
• Develop software solutions across multiple subsystems within our applications
• Understand how our applications operate, are structured, and how customers use them
• Research new technology and development tools to remain informed of current trends
• Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, code comments and clearly readable code
• Analyze defects, perform root cause analysis, and collaborate to resolve
• Comply with established internal quality systems and consider standards, best practices, and regulatory requirements as part of coding activities

Software Engineer

• To manage the full lifecycle of a large portfolio of complex enterprise level software solutions into live mission critical healthcare environments
• Project management and coordination of large-scale enterprise class software delivery to external customers (NHS Trusts and Hospitals, etc)
• To maintain and improve project management process and tools to achieve target improvements
• Project planning, scheduling, monitoring and control of all aspects of the project
• Undertake risk and issue management
• Maintaining all project documentation in line with the Clinisys Delivery Method
• Provide status reports identifying accomplishments, risks, issues, milestones against the baseline plan together with monthly project forecasts
• Hold and attend regular internal and customer led project meetings
• Communicate effectively with all stakeholders
• Matrix team/resource management, across internal service, delivery, development and third-party vendor teams
• Motivate all members involved in the project to ensure it is completed on time, to the specified budget, quality, and performance criteria
• Coordinate delivery of software developments as necessary
• Ensure contract acceptance and sign off by the customer
• Deliver project hand over to the support team
• Coordinate activities between Clinisys and third parties as required within the scope of the project
• Facilitate quality activities of the project and delivery team
• Progress personal development and encourage the development of other staff members
• Contribute to the team spirit within the company and to actively promote a customer-oriented approach
• Perform other related duties as required or assigned
• Participate in cross-functional projects

Senior Project Manager

• Leverage AI-enabled project management and analytics tools to support planning, forecasting, and decision-making
• Use predictive analytics, trend analysis, and scenario modelling to anticipate risks, delays, and resource constraints
• Oversee projects involving AI-enabled, data-driven, or digital healthcare solutions, ensuring alignment with scope, regulatory requirements, and customer expectations
• Drive adoption of automation, intelligent reporting, and AI-assisted monitoring tools to improve project execution
• Monitor project performance using data dashboards, KPIs, and AI-driven performance insights

Data Engineer

• Evaluate Cloud Architecture: Provide technical leadership in evaluating, selecting, and implementing the company’s foundational unified cloud data platform.
• Support BI and Analytics: Partner closely with BI and business teams to deliver high-quality, analytics-ready datasets, custom schemas, and self-service data consumption models.
• Design and Build Pipelines: Construct and maintain scalable batch and streaming ETL/ELT pipelines to integrate enterprise applications, product systems, and external sources.
• Ensure Data Quality: Implement automated quality checks, reconciliation processes, and lineage documentation to guarantee accurate business metrics and rapid issue remediation.
• Optimize Workflow Operations: Establish strong pipeline testing, monitoring, alerting, and CI/CD practices to meet data freshness and reporting SLAs.
• Control Costs and Performance: Optimize data storage and compute efficiency through strategic partitioning, indexing, query tuning, and workload management.
• Create Reusable Frameworks: Build and maintain reusable code libraries for data ingestion, transformation, and validation to accelerate delivery of business insights.
• Enforce Security and Governance: Partner with Security and Compliance to implement data access controls, masking, encryption, retention policies, and robust auditability.
• Document and Share Knowledge: Maintain clear documentation for pipelines, data products, and operational runbooks to ensure team supportability and data definitions.

AI Engineer

• Build end-to-end AI agents and workflow automations from initial use-case scoping through deployment and ongoing maintenance.
• Write production Python code to integrate LLM APIs (prompt construction, response handling, context management, tool use) into internal workflows.
• Integrate AI tools with existing enterprise systems (NetSuite, HubSpot, M365, ServiceNow, etc.) via APIs with proper logging and monitoring.
• Establish reusable code patterns and component libraries to accelerate future agent development.
• Develop evaluation harnesses and model pipelines (training, evaluation, deployment) using AIOps practices to automate quality scoring and regression detection.
• Own deployed agent operations, including identity management, performance monitoring, human reinforcement workflows, and failure triaging.
• Optimize inference performance and cost through caching, batching, quantization, model selection, and workload management.
• Partner with Data Engineers to define feature requirements and create high-quality training and validation datasets.
• Apply responsible AI controls (privacy, security, governance) and collaborate with Security/Compliance to meet regulatory expectations.
• Maintain technical documentation, runbooks, and operational procedures for production AI services.
• Communicate project status, outcomes, and technical complexities clearly to both technical and non-technical stakeholders.

• Build, maintain, and enhance continuous integration and continuous deployment (CI/CD) pipelines aimed at continuous improvement.
• Perform root cause analysis for production issues and drive resolution.
• Implement and manage development, testing, automation tools, and Azure infrastructure.
• Promote and implement automated processes wherever feasible.
• Develop PowerShell scripts to solve complex deployment challenges.
• Define and improve DevOps processes for development, testing, release, update, and support.
• Monitor lifecycle processes for adherence and implement improvements to reduce waste.
• Coordinate with development, operations, and cross‑functional teams.
• Select, configure, and manage appropriate CI/CD tools.
• Design troubleshooting and maintenance procedures for system stability.
• Collaborate with team members to solve complex infrastructure, security, and development challenges.
• Conduct incremental testing on code, processes, and deployments to streamline execution and minimize errors.
• Leverage GitHub Copilot to accelerate development by generating code scaffolds, unit tests, documentation, and pipeline snippets, while validating AI‑assisted outputs for accuracy, security, and compliance before integration.
• Designs and maintains cloud infrastructure for AI‑enabled platforms on Azure, with a strong focus on building and refining AI agents using Azure AI Foundry.
• Partners with engineering teams to improve instruction quality, automate PR code reviews, and embed AI‑first practices across delivery pipelines.

QA Engineer

• Perform regression, functional, and integration testing on automated deployment processes.
• Validate application deployment packages, installers, VM configurations, and infrastructure readiness.
• Verify build and deployment automation via Jenkins CI/CD jobs.
• Evaluate deployment workflows across virtual machines, on‑prem infrastructure, and hybrid environments.
• Validate Azure DevOps YAML pipelines for build, release, and deployment workflows.
• Test Infrastructure‑as‑Code (IaC) modules including Bicep, Terraform, ARM templates, and related automation scripts.
• Validate Windows and Unix-based application installers and upgrade workflows.
• Ensure DevOps code quality by enforcing standards, best practices, and quality gates.
• Design and execute manual and automated tests focused on DevOps, CI/CD, and installation workflows.
• Perform root cause analysis for pipeline, build, installer, VM, or deployment issues.
• Review logs, metrics, alerts, and telemetry to identify quality improvement opportunities.
• Develop automation to validate deployment processes, installer behaviour, and on‑prem infrastructure configurations.
• Collaborate with DevOps, CloudOps, QA, and Development teams to ensure high release quality.
• Recommend improvements across automation frameworks, IaC modules, build pipelines, and installation workflows.
• Participate in design reviews for new deployments, pipelines, installers, VM configurations, and infrastructure components.

Quality Engineer

Program Manager

• Develop, maintain, and execute comprehensive project and program plans, including schedules, milestones, dependencies, and critical paths, ensuring full alignment with Statement of Work (SOW), scope, timelines, and contracted deliverables
• Manage delivery rigorously against approved plans, maintaining clear visibility into budget, schedule, scope, and contractual obligations throughout the project lifecycle
• Establish and maintain strong, trusted relationships with key customer stakeholders, including executive leaders, counterpart program and project managers, engineering, development, security, and operations teams
• Ensure customers clearly understand their roles, responsibilities, dependencies, and required inputs to enable timely and successful delivery
• Lead and facilitate project kickoffs, recurring status meetings, executive briefings, milestone reviews, and steering committee sessions with both customer and internal stakeholders
• Proactively identify and manage dependencies, risks, assumptions, and issues; maintain actionable mitigation and contingency plans and drive timely resolution
• Provide end‑to‑end leadership for AI solution delivery, spanning discovery, solution design, implementation, deployment, and optimization within complex enterprise environments
• Identify potential scope deviations early and collaborate with Sales and Professional Services leadership to manage change requests and formal change order processes
• Orchestrate a seamless transition to the Customer Success organization at project completion, ensuring full knowledge transfer, documentation handoff, and alignment on success criteria
• Lead post‑project retrospectives and lessons‑learned sessions to drive continuous improvement across delivery processes, tools, and engagement models
• All other duties and responsibilities as assigned

Program Manager – Strategic Customer Delivery

• Lead, develop, and mentor a team of project managers accountable for delivering complex software implementation projects
• Own delivery outcomes across assigned portfolio, ensuring on-time, high-quality execution
• Foster a culture of continuous improvement by driving best practices
• Oversee portfolio performance, including revenue forecasting and risk management across all engagements
• Build and maintain strong, trusted relationships with customer executives
• Deliver clear, concise executive-level reporting on portfolio status
• Partner with Sales and Solution teams during pre-sales to scope, resource, and design executable delivery plans
• Manage multiple concurrent initiatives

Lead Oracle DBA Consultant

Senior Software Engineer

Associate Software Engineer

Senior Product Manager

Senior Manager – Global Digital Marketing

Project Manager, Quality

Software Engineer

Senior Project Manager

Project Manager

Data Engineer

AI Engineer

Software Engineer

Quality Engineer

Program Manager – Strategic Customer Delivery

Manager, Project Management