Core Responsibilities
System Ownership & Lifecycle
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Manage the full end-to-end application lifecycle, ensuring operational stability, quality, and continuous optimization.
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Act as the primary operational contact and decision point for queries alongside Product Owners and Information Compliance team.
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Authorize and approve key operational documentation, including system runbooks.
Planning, Change & Release Management
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Plan, authorize, and oversee changes in the IT environment to maintain business continuity and deployment safety.
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Work closely with development teams and Product Owners on building and managing application releases.
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Contribute to PI Plannings on product lifecycle milestones and operational goals
Risk, Security & Compliance
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Create and maintain System Risk Assessments (SRA) in alignment with Legal and Information Compliance requirements.
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Oversee and manage key authentication assets, password vaults, and compliance with security policies.
Operations & Access Oversight
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Manage operations of L2/L3 support lines.
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Monitor SLA/KPI benchmarks and supervise ITIL Incident and Service Request management in ServiceNow.
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Maintain ServiceNow Knowledge Base (KB) articles, operational procedures, and team sites (SharePoint / Confluence).
Candidate Competencies & Requirements:
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5 years of commercial experience in managing IT products within a similar position.
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Frameworks & Governance: ITIL / ITSM (Incident/Request/Problem Management), System Risk Assessment (SRA) frameworks, Service Management and Agile (Scrum / Kanban / Scrumban).
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Change Management: Proven hands-on fluency in formal Change Management.
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Identity, Access & Security Tools: Understanding of the Corporate Identity Management concepts.
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Systems & Infrastructure: ServiceNow, Google Workspace, and Microsoft 365.
What will make a candidate stand out?
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Domain Knowledge: Information Governance and Compliance, regulated IT ecosystems, IT for Pharma.
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Technical Literacy: Solid understanding of software development concepts, including APIs, data models, microservices architecture.
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AI Advocacy: AI prompt engineering and use case design.
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Data & Analytics Tools: SQL (relational database querying & views), Tableau.
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Technical & Scripting Knowledge: SQL (queries & views), PowerShell scripting for automation, Tableau, Google Sheets, and Excel.
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Testing: ISTQB testing best practices.
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