Senior Vice President, Professional Services
Listed on 2026-10-15
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Business
Change Management, AI Business & Operations -
Management
Change Management, AI Business & Operations
Clinisys is a global provider of intelligent diagnostic informatics solutions, developing AI-enabled, cloud-based platforms designed to enhance diagnostic workflows across healthcare, life sciences and public health.
Clinisys is a global provider of intelligent diagnostic informatics solutions, developing AI-enabled, cloud-based platforms designed to enhance diagnostic workflows across healthcare, life sciences and public health.
Operating across more than 30 countries, the organisation is focused on applying AI thoughtfully and responsibly to help laboratories and testing environments operate more effectively, generate meaningful insights and support healthier and safer communities.
The RoleThe Senior Vice President, Professional Services will lead Clinisys' global Professional Services organisation and hold accountability for implementation programmes, solution deployment and value-realisation activities.
The role is responsible for ensuring consistent, high-quality service delivery that accelerates time-to-value, drives customer adoption and contributes to sustainable revenue growth.
As a member of the Executive Leadership Team, the SVP will shape Clinisys' services strategy by incorporating AI, analytics, automation and intelligent workflows into delivery practices and customer engagement.
Key Responsibilities Leadership & Strategy- Set the strategic direction for the global Professional Services organisation, including service delivery models, capacity planning, utilisation strategies and operating frameworks.
- Define a multi-year roadmap for transforming Professional Services through AI-enabled delivery, automation, workflow intelligence and data-driven decision‑making.
- Align Professional Services strategy with company objectives, product strategy and regional market expectations.
- Establish a global services governance model covering delivery quality, methodology compliance, engagement risk management and customer‑facing operating cadence.
- Lead end-to-end delivery of implementation and deployment programmes.
- Ensure predictable execution, high-quality outcomes and customer value attainment.
- Deploy AI-based tools for project health scoring, risk prediction, quality assurance and real‑time project visibility.
- Drive adoption of AI-assisted implementation accelerators, including configuration recommendations, intelligent test automation and data migration validation.
- Oversee global project portfolio management, including risks, budgets, timelines, scope and customer escalations.
- Define and enforce delivery lifecycle processes covering scoping, estimating, contracting, resource allocation, execution, project closure and post‑go‑live adoption support.
- Monitor and improve utilisation, realisation, backlog management, delivery margins and on‑time/on‑budget performance.
- Own services revenue forecasting, backlog growth, margin performance and contribution to company financial targets.
- Partner with Sales, Product and Finance on AI‑enhanced scoping, pricing and commercial governance tools.
- Develop scalable and profitable service offerings, including AI‑powered services.
- Identify new revenue streams, expansion opportunities and value‑added services that support growth and customer adoption.
- Ensure implementation programmes deliver measurable, outcome‑based value aligned with customer objectives, regulatory requirements and operational goals.
- Build executive‑level relationships with strategic customers and act as a trusted advisor throughout the delivery lifecycle.
- Integrate AI‑driven change management and readiness tools to support adoption, workflow optimisation and continuous value realisation.
- Lea…
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