Date: 4 Feb 2026
Location:
Kolthur Shamirpet, Medchal, TG, IN, 500078
Division
Lead IT Business Partner R&D Informatics (FRAM Program)
Location: Bengaluru, Karnataka
Department: Digital IT / R&D Informatics
Reports To: Head Digital IT
Role Summary
Lead the end-to-end IT business partner function for R&D and enterprise scientific systems (ELN, CRS, Compound Inventory, integrations). Identify and implement automation opportunities using modern and AI-driven technologies. Champion robust IT governance, delivery excellence, security, and compliance (internal/external audits) while enabling business agility through data products, dashboards, and platform integrations.
Key Responsibilities
- Business Process Innovation & Automation
- Identify opportunities to improve and automate scientific and enterprise processes using latest technologies (AI, workflow engines, low-code, RPA).
- Conduct value stream mapping and deliver measurable efficiency gains (cycle time reduction, right-first-time, manual effort elimination).
- Establish an Automation CoE playbookuse cases, ROI frameworks, reusable components.
- Technology Strategy & Delivery
- Lead, develop, and implement new technology initiatives that strengthen competitive advantage and profitability.
- Drive product roadmaps for ELN (Chemistry/Biology), CRS, compound inventory, and their integrations (e.g., MOSAIC, Scigilian LIMS, instruments).
- Govern project lifecyclecharter, backlog, MVPs, releases, hypercarewith strong vendor and QA coordination.
- IT Program & Vendor Management
- Lead multiple projects in collaboration with business users, QA, and vendors; ensure scope clarity, timelines, budgets, SLAs, and risk management.
- Run weekly governanceRAIDs, burnups, milestone trackingand ensure transparent communication to stakeholders.
- Continuous Improvement of IT Systems
- Oversee and drive continuous improvement across IT deliverySLA adherence, change success rate, release quality, and support readiness.
- Maintain and enhance enterprise applications (ELN, CRS, compound inventory system) and their integrations with internal tools.
- Compliance, Security & Audit Readiness
- Support internal/external audits (ITGC, CSV/GxP, data privacy); coordinate closely with QA.
- Ensure adherence to SOPs, change control, validation (21 CFR Part 11 where applicable), access management, and secure software development practices.
- Liaison with Scientific Development Teams
- Partner with scientists and R&D stakeholders to provide hardware/software resources, develop new tools, automate workflows, and ensure robust security.
- Facilitate instrument integrations, data acquisition pipelines, and lab digitization.
- AI & Advanced Analytics Enablement
- Leverage AI/ML to automate data capture, curation, reconciliation, and decision support across R&D workflows.
- Promote responsible AI (model governance, bias checks, audit trails) and scalable MLOps.
- Data Lake & Dashboards
- Support Data Lake initiativesdefine data contracts, lineage, security (RBAC/ABAC), PII/PHI safeguards.
- Deliver business dashboards for internal and client views; enforce data quality (DQ rules, profiling) and cataloging.
Required Qualifications
- Education: BE/BTech/ME/MTech in Computer Science/IT or related; MBA preferred.
- Experience: 1015 years in IT for R&D/Pharma/Biotech/Chemical industries, with 5+ years in product/program leadership.
- Domain Expertise: ELN (Chemistry/Biology), LIMS, compound registration/inventory, instrument integration, CSV/GxP.
- Tech Skills:
- Integrations/APIs (REST, event-driven, ETL/ELT), microservices, message queues
- Data platforms (Data Lake/warehouse, metadata/cataloging)
- AI/ML basics, RPA/low-code platforms, workflow tools
- Cloud (Azure/AWS), DevOps, CI/CD, IaC
- Security (IAM, encryption, audit logging), data governance
- Tools (Preferred): Dotmatics ELN, MOSAIC, Scigilian LIMS, Azure Data Lake/Databricks/Power BI, ServiceNow/Jira/Confluence, GitHub/Azure DevOps.
- Certifications (Good to have): PMP/PRINCE2, CSM, ITIL, Azure/AWS Cloud, GxP/CSV, Data Governance.
Core Competencies
- Strategic thinking & product mindset
- Stakeholder management & executive communication
- Vendor negotiation & contract/SLA management
- Risk management & audit readiness
- Data-driven decision-making
- Change leadership and coaching culture
