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eClinical Solutions

SaaS data management for clinical trials

Senior Manager - Service Management & Automation

IT OperationsConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A bachelor’s degree in computer science, information technology, or a related discipline, or equivalent experience, is preferred.
  • 12+ years in IT, including at least 5 years in service management practice ownership rather than service desk operation, is preferred.
  • Demonstrated ownership of an ITSM platform implementation or migration, ideally Atlassian Jira Service Management or ServiceNow.
  • Proven experience leading a team, including performance management and capability development.
  • Demonstrated experience aggregating and reporting service performance across multiple teams to an executive audience, and running a monthly and quarterly review cadence.
  • Track record delivering tool implementation and integration projects to schedule, working across functions such as information security, quality and operational excellence.
  • Experience of workflow automation at production scale, using Power Platform, UiPath or comparable low-code and RPA tooling.
  • Regulated-environment experience with working knowledge of 21 CFR Part 11 or GxP is preferred.
  • Good fluency in English.
  • ITIL 4 Managing Professional, or ITIL 4 Foundation with a commitment to complete Managing Professional within twelve months of appointment, is preferred.
  • Process design and governance, with evidence of practices that remained in place after the implementing project closed.
  • Data discipline: ability to define a taxonomy, enforce it, and report against it credibly to executive stakeholders.
  • Ability to hold a boundary with a peer function and resolve competing priorities through a shared backlog rather than escalation, influencing without line authority.
  • Programme and project management discipline, with concurrent workstreams run to scope, schedule and defined benefit.
  • Strong written and verbal communication to explain service performance and automation risk to a non-technical audience.
  • Ability to prioritise under load with organization and attention to detail.
  • Atlassian Jira Service Management administration or equivalent ITSM platform depth.
  • Configuration management database and asset data modelling.
  • AI agent patterns, their failure modes and controls that contain them; exposure to Microsoft Copilot Studio or comparable.
  • Microsoft Power Platform and RPA tooling such as UiPath, sufficient to set standards and review what the team builds.
  • Reporting and analytics using Power BI or equivalent.
  • Scripting sufficient to review automation code, for example PowerShell, Python or equivalent.
  • Working knowledge of identity and access management.
  • PC skills including Microsoft Office applications: Word, Excel, Outlook and PowerPoint.

Responsibilities

  • Own the IT service management practice across incident, problem, service request, change and continual improvement, including practice definition, adherence and audit; delivery against those practices sits with the respective function leads.
  • Own the service catalogue, request taxonomy and classification standard across all four ET&O functions, and hold classification completeness at 100% on ticket closure.
  • Define the service level framework and the L1, L2 and L3 tier definitions with the function leads; Global Service Operations owns the roster and operational escalation path within it.
  • Own problem management end to end: chair the problem review, drive root cause to closure with the owning function, and track repeat causes out of the estate.
  • Maintain the practice documentation set, including process definitions, work instructions and the knowledge standard, to audit quality.
  • Aggregate and report overall service performance across all four ET&O functions into a single view for the Head of ET&O and the Chief Transformation & AI Officer.
  • Work with each functional lead to define, baseline, measure, report and improve the KPIs and metrics for their area, holding definitions consistent so results are comparable across functions and over time.
  • Run the monthly service review covering attainment against service levels, backlog age and composition, automation coverage, agent-caused incidents, and actions carried forward.
  • Run the quarterly business review covering quarterly trends, progress against the 2027 objectives and MBOs, total cost of ownership for AI and automation, and the forward plan.
  • Produce the evidence pack for internal and client audits and customer qualification activity, drawn from the service record.
  • Act as product owner for the ITSM platform, including migration from Zendesk to Atlassian Jira Service Management and ownership of the configuration baseline thereafter.
  • Ensure the classification standard is agreed and enforced before platform cutover, so the standard is migrated rather than current data quality.
  • Establish and run the configuration management database and asset data model to the standard required by automated routing, impact analysis and audit.
  • Own the data quality of the service record—including priority, tier, resolution type, subcategory and resolution group—and the controls that keep it populated.
  • Replace unstructured email intake with structured catalogue items and guided forms, working with the functions that receive the demand.
  • Manage the ITSM platform vendor relationship, licensing and roadmap alignment.
  • Own the enterprise automation backlog for ET&O: identify, size, prioritise and sequence candidates by volume, effort and business impact, drawing candidates from every function.
  • Set the automation standards, patterns and review gates that all build teams work to.
  • Work with the Business Application Support team to drive service improvement and automation delivery, chairing the joint backlog review and directing demand to their build capacity.
  • Collaborate with the Center of AI and Automation (CoA+) to design, build and deploy the AI and RPA solutions identified in the automation backlog, in line with agreed MBOs.
  • Design and operate the agent lifecycle, covering proposal, validation, deployment, monitoring and retirement; a named human owner and retirement path for every production agent; and confidence thresholds, exception handling and hand-back paths between agents and humans.
  • Maintain the agent registry and the autonomy bounds recorded by the AI Governance Council, within CORPPOL-13 and the Acceptable Use Addendum.
  • Extend agent lifecycle governance to the existing robotic process automation estate, which currently operates without a backlog, release discipline or defined ownership.
  • Manage projects that bring new tooling into ET&O, from business case and selection through implementation, adoption and handover to run.
  • Own the integration roadmap between ET&O systems and the wider enterprise estate, including identity, HR, finance and elluminate where service data crosses a boundary.
  • Lead cross-functional delivery with Information Security on identity, endpoint and incident response interfaces, and with Operational Excellence on process design and continuous improvement.
  • Coordinate with Quality Assurance on validation and change control for systems and automations in GxP scope.
  • Manage project scope, schedule, risk and benefit realisation, and report progress through monthly and quarterly reviews.
  • Ensure every production automation or agent change carries an SOP or work instruction update and an audit trail to GxP standard.
  • Ensure compliance with eClinical Solutions and industry quality standards, regulations, guidelines and procedures, including 21 CFR Part 11 where applicable.
  • Escalate risk arising from service performance, automation failure or agent behaviour to the Head of ET&O and the relevant governance forum.
  • Line-manage the automation and agent engineering capability.
  • Provide practice and automation guidance to colleagues across the other ET&O functions, building capability rather than dependency and without assuming line accountability for their delivery.
  • Engage stakeholders across the business to understand demand, set expectations and communicate service performance.
  • Foster a culture of measurement, accountability and continuous improvement.
  • Leverage company-approved AI tools appropriately to improve productivity and quality while adhering to company policies, protecting confidential information, validating AI-generated content, and exercising sound professional judgment; accountability for work remains with the employee.

Desired Qualifications

  • A bachelor’s degree in computer science, information technology or a related discipline, or equivalent experience.
  • 12+ years in IT, including at least 5 years in service management practice ownership rather than service desk operation.
  • Regulated-environment experience with working knowledge of 21 CFR Part 11 or GxP.
  • ITIL 4 Managing Professional, or ITIL 4 Foundation with a commitment to complete Managing Professional within twelve months of appointment.

About the Company

eClinical Solutions

SaaS data management for clinical trials

eClinical Solutions provides data management and analytics for clinical trials in the biopharma sector. Its platform, elluminate, is a SaaS that integrates data from many sources to enable comprehensive statistical analyses and operational insights, supported by professional services. The product works by centralizing diverse trial data in a single system, allowing users to run analyses, generate insights, and collaborate across teams, with scalability and adaptability to program changes. Compared with competitors, the company combines a specialized, data-centric platform with ongoing consulting services, offering end-to-end data integration, analytics, and operational support that helps clients manage large amounts of trial data and adapt quickly. The goal is to accelerate the development of new treatments and improve trial efficiency by modernizing data management and enabling faster, data-driven decisions.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Mansfield, MA
Founded
2012

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