Technology Manager - Life Sciences R&D

ZS; Pune District, Gurugram District, Bengaluru; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

ZS is seeking a senior Business Technology Manager for Life Sciences R&D to lead end-to-end data and technology engagements across Clinical and Regulatory domains. This role combines hands-on technical leadership with client relationship ownership, business development, and team management.

The ideal candidate brings deep expertise in pharmaceutical data architecture, cloud platforms, and AI/ML-enabled solutions, paired with the ability to shape strategic engagements, grow accounts, and develop

Qualifications

• 10+ years in data management and technology solutions within clinical and regulatory domains.
• Strong knowledge of CDISC, SDTM, and ADaM is a plus.
• Experience leading cross-functional teams and client engagements.
• Proven ability to shape strategic R&D technology programs.

Responsibilities

• Own end-to-end delivery of data strategy, architecture, and platform engagements across R&D, Clinical, and Regulatory domains.
• Design and implement enterprise data solutions aligned with clinical/regulatory processes and standards.
• Provide techno-functional leadership to bridge business requirements with technical implementation.
• Design cloud-based solutions using AWS, Databricks, and Snowflake per enterprise standards.
• Define data governance frameworks and regulatory compliance protocols across engagements.
• Identify and apply AI/ML tools to enhance clinical and regulatory processes.

Skills

Data governance

Cloud platforms

AI/ML

Client relationship management

Team leadership

Education

Bachelor's degree in life sciences/IT

Tools

AWS

Databricks

Snowflake

ETL/ELT

Job description

Business Technology Manager Life Sciences R&D

Role Overview

The Business Technology Manager is a senior techno-functional role within ZS's Life Sciences practice, responsible for leading end-to-end delivery of data and technology solutions across Clinical and Regulatory R&D domains. This role combines hands-on technical leadership with client relationship ownership, business development, and team management. The ideal candidate brings deep expertise in pharmaceutical data architecture, cloud platforms, and AI/ML-enabled solutions, paired with the ability to shape strategic engagements, grow accounts, and develop high-performing teams.

Key Responsibilities

Delivery Leadership

• Own end-to-end delivery of data strategy, architecture, and platform engagements across R&D, Clinical, and Regulatory domains, ensuring alignment with timelines, quality standards, and business objectives
• Design and implement enterprise data solutions aligned with clinical and regulatory business processes, ensuring compliance with industry standards and guidelines (e.g., GxP, FDA, EMA)
• Provide techno-functional leadership to bridge the gap between clinical/regulatory business requirements and scalable technical implementation
• Design and develop cloud-based solutions leveraging platforms such as AWS, Databricks, and Snowflake, in alignment with enterprise architecture standards for data processing, analytics, and reporting
• Design robust data models for structured and semi-structured datasets, particularly for clinical trial, regulatory submission, and healthcare data
• Design and implement ETL/ELT data pipelines to ingest, transform, and harmonize data from multiple clinical and regulatory source systems
• Architect integration solutions across clinical systems and platforms (e.g., EDC, CTMS, Regulatory Information Management systems, MDM platforms)
• Define and implement data governance frameworks, data quality standards, and regulatory compliance protocols across engagement workstreams
• Identify and apply AI/ML tools and agentic architectures to enhance clinical and regulatory processes, drive innovation, and improve team productivity

Business Development & Account Growth

• Drive business development activities including opportunity identification, proposal development, SOW scoping, and client pitch delivery for R&D technology engagements
• Build and maintain strong client relationships by engaging senior stakeholders, understanding strategic business needs, and positioning ZS as a trusted R&D technology partner
• Contribute to account growth strategy by identifying follow-on engagement opportunities, cross-sell potential, and new capability areas within existing client accounts
• Support thought leadership efforts through point-of-view development, capability showcases, and industry-relevant frameworks for data and AI in life sciences R&D

People Management & Team Development

• Manage, mentor, and develop a team of consultants and analysts across data engineering, architecture, and techno-functional roles
• Drive capability building within the team across cloud data platforms, AI/ML tooling, clinical data standards, and consulting delivery skills
• Lead staffing and resource allocation decisions across concurrent engagements
• Conduct performance reviews, set development goals, and provide ongoing coaching and feedback
• Collaborate across cross-functional teams including data engineers, business analysts, domain experts, and senior leadership to drive data-driven decision making

Stakeholder Management & Communication

• Communicate complex technical and domain concepts effectively to both technical and executive audiences, translating data architecture decisions into business impact narratives
• Lead executive-level presentations, steering committee updates, and governance reviews for active engagements
• Stay updated with the latest trends in clinical data standards, regulatory requirements, AI/ML in R&D, and modern data technologies

Qualifications

• Minimum 10+ years of experience in data management and technology solutions within Clinical and Regulatory domains in life sciences
• Strong understanding of clinical trial processes, regulatory requirements, and data standards (e.g., CDISC, SDTM, ADaM is a plus)