Expert Data & Digital

Healthcare Businesswomen’s Association; Hyderabad; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Healthcare Businesswomen’s Association seeks a System Support and Integration Manager based in Genome Valley, Hyderabad, to configure and integrate IT applications supporting TRD business processes. The role ensures system designs align with business needs, GxP requirements, and TRD’s data strategy while driving strategic project implementation.

You will lead cross-functional teams, manage end-to-end systems, evaluate new technologies, enable data-driven decisions, and ensure regulatory

Qualifications

• Bachelor's/Master's in Life Science or Information Technology or equivalent.
• Knowledge of GMP principles driving drug development and regulatory expectations.
• 5+ years of professional experience in a relevant role.
• Strong scientific background with communication and scientific/technical writing skills.
• Experience with GMP environments and IT systems (eLN, LIMS, SAP) and data tool interfaces.
• Solid project management, organizational and planning skills.
• Proven track record leading interdisciplinary teams.
• Strong innovation mindset and problem-solving skills.
• Excellent communication and presentation skills; coaching capabilities.
• Ability to work in globally distributed teams.

Responsibilities

• Conduct gap assessment and define system design and configuration.
• Create and manage system configuration master data in key applications.
• Own and drive changes to key applications with Business Units and IT.
• Understand supported business processes and interfaces of key applications.
• Identify and harmonize global processes within TRD.
• Drive standardization and normalization of global master data.
• Collaborate with System Governance and Change Advisory Board.
• Coordinate with Dev IT and Line Functions for system enhancement projects.
• Align changes with standards and assess risks and impacts.
• Establish and own URS; perform testing and validation (UAT/OQ/PQ).
• Provide user training, education, and expert support.

Skills

Communication

Leadership

Project management

GxP knowledge

Problem solving

Data-driven decisions

Interdisciplinary collaboration

Team coordination

Education

Bachelor's/Master's in Life Science or IT

Tools

SAP

LIMS

eLN

Job description

Job Description Summary

The System Support and Integration Manager is responsible for configuring and integrating IT applications to support business processes within TRD. The role ensures that system designs, processes, and configurations align with business needs, GxP requirements, and TRD’s system and data strategy. It includes driving strategic project implementation, identifying process improvements, assessing new technologies, enabling data-driven decision-making, and managing assigned systems end to end while collaborating across local and global cross-functional teams. The position is based in the Genome Valley, Hyderabad, within the Technical Research and Development Organization (TRD) of Global Drug Development (GDD).

Job Description

Major accountabilities:

• Conduct gap assessment and define system design and configuration
• Create and manage system configuration static master data in key applications
• Own and drive change to key applications in close collaboration with Business Units and IT
• Understand the supported Business Processes and Interfaces of key applications.
• Identify, align & facilitate harmonization opportunities of global processes in TRD
• Drive Standardization and Normalization of Global/Organization/Site Static Master Data
• Liaises with System and Process Owners and actively contributes and participates in the System Governance and Change Advisory Board.
• Facilitates the collaboration between Dev IT and Line Functions and external partners for system/application improvement and enhancement projects
• Align changes and ensure adherence to standards
• Assess risk, conduct RCA and perform impact assessments for changes and problems
• Establish and own URS and be responsible for informal and formal testing and validation UAT / OQ / PQ
• Training, Education, Support. Guide, train and educate users and Super Users in use and best practices in key applications
• Identify, align & facilitate global harmonization opportunities across TRD. Collaborate with Business Process Experts and understand, challenge, and incorporate Business Processes into key applications.
• Own and drive change to key applications in close collaboration with LU as Project Development Leads (Workstream Leads)
• Actively contribute to team goals
• Ensure compliance of processes with regulations as well as Novartis internal procedures and GxP requirements.
• Provide coaching and technical training as subject matter expert or recognized technical expert. Act as mentor for junior and senior associates
• Support and foster spirit of an inspired, curious and agile learning organization, including best practice sharing across digitalization projects.
• Acts as role model for Novartis values and behaviours.

Minimum Requirements:

• Bachelors/Masters in Life Science or Information technology (e.g., analytical / organic chemistry / pharmacy / pharmaceutical development, IT) or equivalent.
• Knowledge in quality principles driving drug development such as GMP; understanding of general regulatory and quality expectations.
• 5+ years professional experience in relevant area.
• Good scientific background, communication skills including presentation and scientific/technical writing.
• Experienced in GMP environment, with familiarity of IT systems (e.g. eLN, LIMS, SAP), and interfaces between different data tools.
• Comprehensive knowledge about project management, excellent organization and planning skills.
• Proven track record in successfully leading and working with interdisciplinary teams.
• Strong innovation mindset and problem solving skills.
• Strong communication and presentation skills. Advanced coaching skills.
• Ability to work in interdisciplinary global teams.

Skills Desired

Biostatistics, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Statistical Analysis, Time Series Analysis