IT Delivery Lead - Technology IT

About Signant Health

At Signant Health, we help bring life-changing treatments to patients faster. We are a global evidence generation company that supports clinical trials with smart technology, scientific expertise, and hands-on operational support — so better data leads to better decisions in healthcare. We embrace AI and advanced technologies to enhance every aspect of what we do, from data analysis to operational efficiency.

Our teams work at the intersection of science, technology, and patient experience, delivering digital solutions powered by AI innovation that make clinical trials more efficient, more accurate, and more accessible around the world. Trusted by leading pharmaceutical companies and CROs, our platforms and services support studies across more than 90 countries and have contributed to hundreds of new drug approvals.

If you are motivated by meaningful work, global impact, and innovation in clinical research and digital health — including the opportunity to work with cutting-edge AI technologies — you will find purpose and opportunity at Signant Health.

About the Role

Signant Health is recruiting an IT Delivery Lead to give every significant IT delivery a single, accountable owner from approval through to a compliant go-live. Working within IT’s lean, high-tempo delivery model, the IT Delivery Lead takes end-to-end ownership of automation and Ai delivery — with particular accountability for the cross-boundary work (dependencies, compliance sequencing, decisions, escalation and continuity) that keeps a delivery on track in a regulated, GxP environment.

This is a delivery and coordination role, not a build role: engineering owns the technical work and the initiative roadmap sits with the Sponsor. The IT Delivery Lead owns whether a delivery is genuinely ready to ship — sequencing compliance so it never becomes the bottleneck, confirming dependencies before dates are committed, driving decisions and approvals to closure, and keeping the audit trail complete. It will suit a delivery professional energised by making complex, cross-functional work land in a controlled environment, who is also fluent in how AI and automation are governed and delivered responsibly.

Location: Hyderabad/Bangalore/Noida

Work mode: Remote

Years of experience: 3-6 Years

KEY ACCOUNTABILITIES - Function

• Delivery ownership —hold a single delivery accountable end to end through the IT SDLC; run its gates (day-one AI-vs-automation classification, Team Confirmation, Go/No-Go, release and closure); confirm the delivery is genuinely ready to go live.
• Boundary & dependency management —maintain the dependency and change-freeze register; confirm feasibility with dependency owners before dates are committed; drive decisions, approvals and escalations to closure; ensure a named deputy for every gate approver.
• Compliance & validation orchestration —sequence GxP compliance so it is never the bottleneck; own the tier-appropriate deliverable set (GxP risk determination, Validation Plan, Process Risk Assessment/FMEA, test evidence, release notification, validation summary) to completion and approval; protect the audit trail.
• Release management —own the release runbook; route production change through the change-management process, including CAB review for high-impact change; sequence sign-offs; confirm hypercare and monitoring ownership before go-live.
• Team cadence —facilitate the daily standup; uphold Jira hygiene and a shared Definition of Done; coordinate UAT and demos.
• Risk & continuous improvement —maintain the project risk register; run delivery retrospectives; maintain shared templates and the delivery playbook so learning is retained in the model.

KNOWLEDGE, SKILLS & ATTRIBUTES

Essential:

• Degree-level education or equivalent professional experience.
• Delivery, project or agile certification (e.g. Scrum, PRINCE2, PMP, ITIL) desirable.
• Excellent stakeholder management and the ability to influence, coordinate and drive work to closure without direct authority.
• Confident facilitation of agile ceremonies and disciplined use of Jira and delivery tooling.
• Working knowledge of AI and automation governance — and comfort working with AI-enabled delivery tooling.
• Highly organised and detail-oriented, with a habit of surfacing risks and dependencies early.

Desirable:

• Proven delivery or project-management track record taking technology change to production in a regulated (preferably GxP / life-sciences) environment.
• Strong compliance-sequencing and validation awareness (CSA / GAMP 5, change management) with audit-grade documentation discipline.
• Experience delivering automation / RPA and AI-enabled solutions.
• Familiarity with GxP computerised system validation and quality frameworks (21 CFR Part 11, EU Annex 11, ICH E6(R3)).
• Data literacy and experience resolving cross-system data-readiness issues.

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